weatherml

Papers on AI for weather forecasting, climate modelling and atmospheric science, updated weekly from arXiv.

How it works

A weekly Action runs src/find_papers.py: searches arXiv, filters for weather + ML, assigns a topic, appends to papers.yml.
src/build_pages.py generates docs/ and the paper list below; tags come from src/tagging.py.
Pushes to main build the site with Zensical and deploy to GitHub Pages.

Development

uv sync
uv run python src/build_pages.py
uv run zensical serve   # http://localhost:8000

Adding papers

Open an Add paper issue (collaborators; added automatically), or
uv run python src/add_paper.py <arXiv ID or URL> --star, then src/build_pages.py. --star keeps it even if it fails the relevance filters.

Bookmarklet: add the arXiv paper you're viewing

javascript:(function(){var m=document.location.href.match(/\d{4}\.\d{4,5}/);var id=m?m[0]:prompt('arXiv ID:');if(!id)return;window.open('https://github.com/weatherml/weatherml.github.io/issues/new?labels=add-paper&title='+encodeURIComponent('Add paper: '+id)+'&body='+encodeURIComponent('https://arxiv.org/abs/'+id));})();

Re-sorting after changing topics or filters

uv run python src/categorize_papers.py   # re-sorts "Other", drops irrelevant papers (keeps starred)
uv run python src/build_pages.py

Repository layout

Path
`papers.yml`	The collection
`src/find_papers.py`	arXiv search, relevance filters, topic rules
`src/add_paper.py`	Add one paper
`src/categorize_papers.py`	Re-sort and filter existing papers
`src/tagging.py`	Tag rules
`src/build_pages.py`	Generates `docs/`, feed, BibTeX, README list
`mkdocs.yml`	Site config (`nav` is generated)
`docs/javascripts/`, `docs/stylesheets/`	Explore filter, math, BibTeX copy, styling
`.github/workflows/`	Weekly update, add-paper, deploy

Papers (1502)

Newest first.

Global Models (354)

Weather Jiu-Jitsu: Exploring the Feasibility of Control Paradigms in Weather Foundation Models (Oct 2026) - arXiv:2610.00792
STCFormer: Adaptive Spatio-Temporal Modeling with Dynamic Cluster Transformer for Station-based Weather Forecasting (Oct 2026) - arXiv:2610.00377
Butterfly Effect Confirmed in Global AI Weather Models: Evidence from Tropical Cyclone Forecasting (Sep 2026) - arXiv:2609.39379
Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting (Sep 2026) - arXiv:2609.38632
An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean (Sep 2026) - arXiv:2609.38447
A neural network-based Universal Thermal Climate Index for reliable global thermal-stress classification across extreme weather (Sep 2026) - arXiv:2609.35949
Suitable Measures for the Potential Operational Utility of AI NWP Rainfall Forecasts Over Africa (Sep 2026) - arXiv:2609.31775
A dataset of one-dimensional idealized probabilistic fields (Sep 2026) - arXiv:2609.25720
FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting (Sep 2026) - arXiv:2609.25505
Spatial Aggregation of ROC and Precision-Recall Curves (Sep 2026) - arXiv:2609.19517
Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models (Sep 2026) - arXiv:2609.18489
Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism (Sep 2026) - arXiv:2609.18381
Aries: A Proprietary Medium-Range Weather Prediction Model for the Energy Industry (Sep 2026) - arXiv:2609.13292
Optimizing Geoengineering Interventions Using Differentiable Climate Models (Sep 2026) - arXiv:2609.12528
WIND-Bench: A Benchmark Dataset for In-Situ Near-Surface Wind Speed Observations Across the Conterminous United States (Sep 2026) - arXiv:2609.12228
Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models (Sep 2026) - arXiv:2609.08412
WeatherNext 3: Increasing resolution and performance of global weather models with raw observations (Sep 2026) - arXiv:2609.03582
Improving precipitation forecasts in an AI weather model using observational data (Sep 2026) - arXiv:2609.03210
TC-Next: Zero-Shot Multimodal Cyclone Forecasting (Sep 2026) - arXiv:2609.02085
Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions (Aug 2026) - arXiv:2608.30795
Diffusion Distillation for Efficient Weather Ensembles (Aug 2026) - arXiv:2608.27728
Climate Physics Dynamic Matching (Aug 2026) - arXiv:2608.26907
Bridging short- and medium-range weather forecasting with machine learning (Aug 2026) - arXiv:2608.26822
Missing the Butterfly and Predicting the Past: Features or Bugs of Accurate AI Weather Models? (Aug 2026) - arXiv:2608.25835
AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions (Aug 2026) - arXiv:2608.24954
AICON: An operational global machine learning weather forecasting model (Aug 2026) - arXiv:2608.24651
Extremes on Rewind: Generating 1,000-Member Ensembles Initialized at a Final Condition (Aug 2026) - arXiv:2608.19008
Tianmu-TC: Physics-constraints Generative Artificial Intelligence for Global Tropical Cyclone Forecasting (Aug 2026) - arXiv:2608.18500
How Do AI Climate Models Respond to Warming Across Climate Zones? (Aug 2026) - arXiv:2608.17986
Do AI weather models miss extremes? (Aug 2026) - arXiv:2608.09972
VeinCast: Physics-Guided Dynamic Field Graphs with Graph-Conditioned Fusion for Global Medium-Range Weather Forecasting (Aug 2026) - arXiv:2608.09286
Timestep-Conditioned Transformers for Global Weather Forecasting (Aug 2026) - arXiv:2608.06241
MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres (Aug 2026) - arXiv:2608.05054
Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting (Aug 2026) - arXiv:2608.03959
Weather Emulators at the Frontier of Heat Extremes Predictability (Jul 2026) - arXiv:2607.28220
Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction (Jul 2026) - arXiv:2607.21080
Spatial Generalization Tests for Machine Learning-based Weather Models to Assess Physical Consistency (Jul 2026) - arXiv:2607.20716
Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions (Jul 2026) - arXiv:2607.19370
On the sensitivity of machine-learned probabilistic weather forecast models to scale-aware scoring rules (Jul 2026) - arXiv:2607.19161
Hard conservation correctors can hide a degrading model when training autoregressive emulators (Jul 2026) - arXiv:2607.18416
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction (Jul 2026) - arXiv:2607.17095
TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling (Jul 2026) - arXiv:2607.13101
Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis (Jul 2026) - arXiv:2607.12954
Evaluating the Fidelity of GraphCast AI Forecasts for the Indian Summer Monsoon: A Climatological Assessment Against ERA-5 Reanalysis and IMERG Observations (Jul 2026) - arXiv:2607.11905
Global reanalysis from observations alone with machine learning (Jul 2026) - arXiv:2607.07879
Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting (Jul 2026) - arXiv:2607.05658
AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales (Jul 2026) - arXiv:2607.05100
On the Genealogy of Machine Learning Weather Prediction (Jul 2026) - arXiv:2607.05045
Enhancing the Forecasting Capability of Multi-Model Blending Algorithms for Extreme Precipitation via Joint Use of Station and Gridded Observations (Jul 2026) - arXiv:2607.04862
Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction (Jul 2026) - arXiv:2607.02829
Enhancing a high resolution data-driven weather prediction model with surface descriptors (Jul 2026) - arXiv:2607.02824
Modelling convective cell occurrence in proximity to cold fronts using extreme gradient boosting (Jun 2026) - arXiv:2606.26699
Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting (Jun 2026) - arXiv:2606.26421
Event-Aware Loss Design for Forecasting of Convective Precipitation and Lightning (Jun 2026) - arXiv:2606.25937
Evaluation of medium range machine learning models for sub-seasonal prediction (Jun 2026) - arXiv:2606.25417
Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work (Jun 2026) - arXiv:2606.25076
ARCO-Mars: A Unified Cloud-Optimized Archive of Mars Atmosphere Reanalysis (Jun 2026) - arXiv:2606.21701
Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction (Jun 2026) - arXiv:2606.19642
AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning (Jun 2026) - arXiv:2606.19093
A Hybrid LSTM--Vision Transformer Architecture for Predicting HRRR Forecast Errors (Jun 2026) - arXiv:2606.19026
Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific (Jun 2026) - arXiv:2606.17659
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models (Jun 2026) - arXiv:2606.10642
Performance Evaluation of GraphCast for Medium-Range Weather Forecasting over Brazil (Jun 2026) - arXiv:2606.06348
Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels (Jun 2026) - arXiv:2606.02886
AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret (Jun 2026) - arXiv:2606.02663
Forecasting threshold exceedance of atmospheric variables at a specific location (May 2026) - arXiv:2605.31079
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts (May 2026) - arXiv:2605.30184
Steering Tropical Cyclones Using Small Perturbations in an AI Weather Model (May 2026) - arXiv:2605.29248
RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges (May 2026) - arXiv:2605.24945
The physics of AI weather models (May 2026) - arXiv:2605.23778
A Simulation Methodology Testbed for Typhoon Sensitivity Analysis: Framework Development and Perturbation-Response Experiments with the Pangu Weather Model (May 2026) - arXiv:2605.21864
From Licensing to Open Access: Designing a Sustainable Transition in Operational Weather Data (May 2026) - arXiv:2605.21673
QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting (May 2026) - arXiv:2605.18333
Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE (May 2026) - arXiv:2605.17493
Guided Diffusion Sampling for Precipitation Forecast Interventions (May 2026) - arXiv:2605.14317
AIMIP Phase 1: systematic evaluations of AI weather and climate models (May 2026) - arXiv:2605.06944
Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting (May 2026) - arXiv:2605.06916
From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation (May 2026) - arXiv:2605.05912
Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework (May 2026) - arXiv:2605.05255
Uncertainty Quantification in Forecast Comparisons (May 2026) - arXiv:2605.03997
Cast3: Translating numerical weather prediction principles into data-driven forecasting (May 2026) - arXiv:2605.01599
Extreme Weather Bench: A framework and benchmark for evaluation of high-impact weather (May 2026) - arXiv:2605.01126
Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing (Apr 2026) - arXiv:2604.27944
PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting (Apr 2026) - arXiv:2604.27313
Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS (Apr 2026) - arXiv:2604.25559
Hybrid weather prediction using spectral nudging toward machine-learning forecasts (Apr 2026) - arXiv:2604.22522
Mechanistic Interpretability Tool for AI Weather Models (Apr 2026) - arXiv:2604.20467
Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model (Apr 2026) - arXiv:2604.18906
Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss (Apr 2026) - arXiv:2604.18727
WP-MIP: An Artificial Intelligence, Hybrid, and Physically Based Model Intercomparison Project for Weather Prediction (Apr 2026) - arXiv:2604.16643
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models (Apr 2026) - arXiv:2604.16429
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster (Apr 2026) - arXiv:2604.09041
El Nino Prediction Based on Weather Forecast and Geographical Time-series Data (Apr 2026) - arXiv:2604.04998
AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System (Apr 2026) - arXiv:2604.03300
The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline (Apr 2026) - arXiv:2604.01215
Super-Resolving Coarse-Resolution Weather Forecasts With Flow Matching (Apr 2026) - arXiv:2604.00897
Improving Ensemble Forecasts of Abnormally Deflecting Tropical Cyclones with Fused Atmosphere-Ocean-Terrain Data (Mar 2026) - arXiv:2603.29200
TianJi:An autonomous AI meteorologist for discovering physical mechanisms in atmospheric science (Mar 2026) - arXiv:2603.27738
StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh (Mar 2026) - arXiv:2603.27288
Evaluating data-driven background ensembles covariances from Graphcast: a case study for Hurricane Lee (2023) (Mar 2026) - arXiv:2603.26703
Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model (Mar 2026) - arXiv:2603.26165
On Neural Scaling Laws for Weather Emulation through Continual Training (Mar 2026) - arXiv:2603.25687
Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching (Mar 2026) - arXiv:2603.24428
Assessing the Robustness of Climate Foundation Models under No-Analog Distribution Shifts (Mar 2026) - arXiv:2603.23043
Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction (Mar 2026) - arXiv:2603.22314
Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting (Mar 2026) - arXiv:2603.21284
Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones (Mar 2026) - arXiv:2603.20541
Data-driven ensemble prediction of the global ocean (Mar 2026) - arXiv:2603.19591
Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities (Mar 2026) - arXiv:2603.19488
Target Concept Tuning Improves Extreme Weather Forecasting (Mar 2026) - arXiv:2603.19325
Splitting horizontal and vertical polynomial order in a compatible finite element discretisation for numerical weather prediction (Mar 2026) - arXiv:2603.16571
FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting (Mar 2026) - arXiv:2603.15358
AGCD: Agent-Guided Cross-Modal Decoding for Weather Forecasting (Mar 2026) - arXiv:2603.15260
A Data-Driven Regional Model for Skillful Medium-Range Typhoon Prediction (Mar 2026) - arXiv:2603.15127
3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting (Mar 2026) - arXiv:2603.13049
From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts (Mar 2026) - arXiv:2603.12828
Designing probabilistic AI monsoon forecasts to inform agricultural decision-making (Mar 2026) - arXiv:2603.07893
Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model (Mar 2026) - arXiv:2603.06516
Hybrid ensemble forecasting combining physics-based and machine-learning predictions through spectral nudging (Mar 2026) - arXiv:2603.05570
Two-Stage Photovoltaic Forecasting: Separating Weather Prediction from Plant-Characteristics (Mar 2026) - arXiv:2603.04132
HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis (Mar 2026) - arXiv:2603.01121
Phys-Diff: A Physics-Inspired Latent Diffusion Model for Tropical Cyclone Forecasting (Mar 2026) - arXiv:2603.00521
Scaling Laws of Global Weather Models (Feb 2026) - arXiv:2602.22962
A Synergistic Approach: Dynamics-AI Ensemble in Tropical Cyclone Forecasting (Feb 2026) - arXiv:2602.22533
On Using Medium-Range Ensemble Forecasts for Storm Transposition of Synoptic-Scale Systems in Probable Maximum Precipitation Estimation (Feb 2026) - arXiv:2602.19233
Exploring Novel Data Storage Approaches for Large-Scale Numerical Weather Prediction (Feb 2026) - arXiv:2602.17610
PDE foundation models are skillful AI weather emulators for the Martian atmosphere (Feb 2026) - arXiv:2602.15004
PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather Forecasts (Feb 2026) - arXiv:2602.11807
Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model (Feb 2026) - arXiv:2602.11313
UniPhy: Unifying Riemannian-Clifford Geometry and Biorthogonal Dynamics for Planetary-Scale Continuous Weather Modeling (Feb 2026) - arXiv:2602.09030
Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon (Feb 2026) - arXiv:2602.03767
Role of the ocean for fast atmospheric evolution revealed by machine learning (Feb 2026) - arXiv:2602.01904
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting (Feb 2026) - arXiv:2602.01194
"What is a realistic forecast?" Assessing data-driven weather forecasts, a journey from verification to falsification (Feb 2026) - arXiv:2602.00622
Track-Dependent Links between Tropical Cyclones and Extratropical Predictability in Physical and AI Models (Jan 2026) - arXiv:2601.22540
Physics Informed Reconstruction of Four-Dimensional Atmospheric Wind Fields Using Multi-UAS Swarm Observations in a Synthetic Turbulent Environment (Jan 2026) - arXiv:2601.22111
Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting (Jan 2026) - arXiv:2601.21151
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting (Jan 2026) - arXiv:2601.18111
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts (Jan 2026) - arXiv:2601.17636
Toward Trustworthy Short-Range Forecasts with AFNO: From Skill Metrics to Conservation Checks (Jan 2026) - arXiv:2601.15660
Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting (Jan 2026) - arXiv:2601.09467
Efficient Parameter Calibration of Numerical Weather Prediction Models via Evolutionary Sequential Transfer Optimization (Jan 2026) - arXiv:2601.08663
Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction (Jan 2026) - arXiv:2601.07951
Error in ERA5 2m Temperature identified using GraphCast (Jan 2026) - arXiv:2601.04701
Probabilistic Transformers for Joint Modeling of Global Weather Dynamics and Decision-Centric Variables (Jan 2026) - arXiv:2601.03753
Rainfall forecasts in daily use over East Africa improved by machine learning (Dec 2025) - arXiv:2512.24525
Towards mechanistic understanding in a data-driven weather model: internal activations reveal interpretable physical features (Dec 2025) - arXiv:2512.24440
Controllable Probabilistic Forecasting with Stochastic Decomposition Layers (Dec 2025) - arXiv:2512.18815
Predicting Forecast Error for the HRRR Using LSTM Neural Networks: A Comparative Study Using New York and Oklahoma State Mesonets (Dec 2025) - arXiv:2512.14898
Evaluating Weather Forecasts from a Decision Maker's Perspective (Dec 2025) - arXiv:2512.14779
Bridging Artificial Intelligence and Data Assimilation: The Data-driven Ensemble Forecasting System ClimaX-LETKF (Dec 2025) - arXiv:2512.14444
A Diffusion-Based Framework for High-Resolution Precipitation Forecasting over CONUS (Dec 2025) - arXiv:2512.09059
FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting (Dec 2025) - arXiv:2512.08974
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models (Dec 2025) - arXiv:2512.08832
Robustness Test for AI Forecasting of Hurricane Florence Using FourCastNetv2 and Random Perturbations of the Initial Condition (Dec 2025) - arXiv:2512.05323
Observation-driven correction of numerical weather prediction for marine winds (Dec 2025) - arXiv:2512.03606
Climatological benchmarking of AI-generated tropical cyclones (Nov 2025) - arXiv:2511.21792
Concept drift of simple forecast models as a diagnostic of low-frequency, regime-dependent atmospheric reorganisation (Nov 2025) - arXiv:2511.19638
On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification (Nov 2025) - arXiv:2511.17176
Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts (Nov 2025) - arXiv:2511.14218
Attention-Enhanced Convolutional Autoencoder and Structured Delay Embeddings for Weather Prediction (Nov 2025) - arXiv:2511.12682
Power Ensemble Aggregation for Improved Extreme Event AI Prediction (Nov 2025) - arXiv:2511.11170
Beyond Resolution: Multi-Scale Weather and Climate Data for Alpine Renewable Energy in the Digital Twin Era -- First Evaluations and Recommendations (Nov 2025) - arXiv:2511.05584
Improvement of a neural network convection scheme by including triggering and evaluation in present and future climates (Nov 2025) - arXiv:2511.05074
Do AI models predict storm impacts as accurately as physics-based models? A case study of the February 2020 storm series over the North Atlantic (Nov 2025) - arXiv:2511.01665
Benchmarking Regional Thermodynamic Trends in an AI emulator, ACE2, and a hybrid model, NeuralGCM (Nov 2025) - arXiv:2511.00274
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting (Nov 2025) - arXiv:2511.00049
AI-boosted rare event sampling to characterize extreme weather (Oct 2025) - arXiv:2510.27066
SAFE: A Novel Approach to AI Weather Evaluation through Stratified Assessments of Forecasts over Earth (Oct 2025) - arXiv:2510.26099
Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model (Oct 2025) - arXiv:2510.25045
Revealing the Potential of Learnable Perturbation Ensemble Forecast Model for Tropical Cyclone Prediction (Oct 2025) - arXiv:2510.23794
Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training (Oct 2025) - arXiv:2510.22094
CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting (Oct 2025) - arXiv:2510.20769
Learning Coupled Earth System Dynamics with GraphDOP (Oct 2025) - arXiv:2510.20416
Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting (Oct 2025) - arXiv:2510.19110
Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis (Oct 2025) - arXiv:2510.17852
Leveraging Teleconnections with Physics-Informed Graph Attention Networks for Long-Range Extreme Rainfall Forecasting in Thailand (Oct 2025) - arXiv:2510.12328
Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction (Oct 2025) - arXiv:2510.10140
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting (Oct 2025) - arXiv:2510.09734
Control-Augmented Autoregressive Diffusion for Data Assimilation (Oct 2025) - arXiv:2510.06637
Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM (Oct 2025) - arXiv:2510.04466
Zephyrus: An Agentic Framework for Weather Science (Oct 2025) - arXiv:2510.04017
Deep learning the sources of MJO predictability: a spectral view of learned features (Oct 2025) - arXiv:2510.03582
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming (Oct 2025) - arXiv:2510.02415
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting (Oct 2025) - arXiv:2510.02050
Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting (Sep 2025) - arXiv:2509.25631
A Weather Foundation Model for the Power Grid (Sep 2025) - arXiv:2509.25268
DPSformer: A long-tail-aware model for improving heavy rainfall prediction (Sep 2025) - arXiv:2509.25208
Evaluation of Machine and Deep Learning Techniques for Cyclone Trajectory Regression and Status Classification by Time Series Data (Sep 2025) - arXiv:2509.24146
Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models (Sep 2025) - arXiv:2509.22359
Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models (Sep 2025) - arXiv:2509.22020
Accurate typhoon intensity forecasts using a non-iterative spatiotemporal transformer model (Sep 2025) - arXiv:2509.21349
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting (Sep 2025) - arXiv:2509.20911
S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting (Sep 2025) - arXiv:2509.19648
Graph-based Neural Space Weather Forecasting (Sep 2025) - arXiv:2509.19605
An update to ECMWF's machine-learned weather forecast model AIFS (Sep 2025) - arXiv:2509.18994
Training-Free Data Assimilation with GenCast (Sep 2025) - arXiv:2509.18811
Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0 (Sep 2025) - arXiv:2509.17658
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design (Sep 2025) - arXiv:2509.17601
FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Integration (Sep 2025) - arXiv:2509.14775
Data-Efficient Ensemble Weather Forecasting with Diffusion Models (Sep 2025) - arXiv:2509.11047
How does an AI Weather Model Learn to Forecast Extreme Weather? (Sep 2025) - arXiv:2509.10639
MoWE : A Mixture of Weather Experts (Sep 2025) - arXiv:2509.09052
Seasonal forecasting using the GenCast probabilistic machine learning model (Sep 2025) - arXiv:2509.06457
Distillation of CNN Ensemble Results for Enhanced Long-Term Prediction of the ENSO Phenomenon (Sep 2025) - arXiv:2509.06227
MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon (Sep 2025) - arXiv:2509.01879
Exploring Quantum Machine Learning for Weather Forecasting (Sep 2025) - arXiv:2509.01422
Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction (Aug 2025) - arXiv:2508.18486
Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models (Aug 2025) - arXiv:2508.17903
Intelligent Shanghai Typhoon Model (ISTM): A generative probabilistic emulator for typhoon hybrid modeling (Aug 2025) - arXiv:2508.16851
Generative artificial intelligence improves projections of climate extremes (Aug 2025) - arXiv:2508.16396
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts (Aug 2025) - arXiv:2508.16168
Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms (Aug 2025) - arXiv:2508.16041
Numerical models outperform AI weather forecasts of record-breaking extremes (Aug 2025) - arXiv:2508.15724
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction (Aug 2025) - arXiv:2508.14107
RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts (Aug 2025) - arXiv:2508.12291
Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams (Aug 2025) - arXiv:2508.12198
Decentralized Weather Forecasting via Distributed Machine Learning and Blockchain-Based Model Validation (Aug 2025) - arXiv:2508.09299
MeteorPred: A Meteorological Multimodal Large Model and Dataset for Severe Weather Event Prediction (Aug 2025) - arXiv:2508.06859
UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting (Aug 2025) - arXiv:2508.01426
CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction (Jul 2025) - arXiv:2507.18937
Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity (Jul 2025) - arXiv:2507.17099
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale (Jul 2025) - arXiv:2507.12144
Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency (Jul 2025) - arXiv:2507.10893
XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation (Jul 2025) - arXiv:2507.09202
Intraseasonal Equatorial Kelvin and Rossby Waves in Modern AI-ML Models (Jul 2025) - arXiv:2507.07952
Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism (Jul 2025) - arXiv:2507.05753
Accurate Mediterranean Sea forecasting via graph-based deep learning (Jun 2025) - arXiv:2506.23900
Arnoldi Singular Vector perturbations for machine learning weather prediction (Jun 2025) - arXiv:2506.22450
The First Compute Arms Race: the Early History of Numerical Weather Prediction (Jun 2025) - arXiv:2506.21816
Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics (Jun 2025) - arXiv:2506.20024
A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere (Jun 2025) - arXiv:2506.19340
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes (Jun 2025) - arXiv:2506.19088
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting (Jun 2025) - arXiv:2506.17609
UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications (Jun 2025) - arXiv:2506.17453
PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning (Jun 2025) - arXiv:2506.13652
Forecast error diagnostics in neural weather models (Jun 2025) - arXiv:2506.11987
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation (Jun 2025) - arXiv:2506.10868
Skillful joint probabilistic weather forecasting from marginals (Jun 2025) - arXiv:2506.10772
AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale (Jun 2025) - arXiv:2506.09733
LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting (Jun 2025) - arXiv:2506.09193
Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction (Jun 2025) - arXiv:2506.08285
FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning (Jun 2025) - arXiv:2506.07616
DEF: Diffusion-augmented Ensemble Forecasting (Jun 2025) - arXiv:2506.07324
Meteorologically-Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting (Jun 2025) - arXiv:2506.06638
Improving Post-Processing for Quantitative Precipitation Forecasting Using Deep Learning: Learning Precipitation Physics from High-Resolution Observations (Jun 2025) - arXiv:2506.03842
Probabilistic measures afford fair comparisons of AIWP and NWP model output (Jun 2025) - arXiv:2506.03744
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution (Jun 2025) - arXiv:2506.03210
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs (May 2025) - arXiv:2505.22686
PEAR: Equal Area Weather Forecasting on the Sphere (May 2025) - arXiv:2505.17720
Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model (May 2025) - arXiv:2505.13873
FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models (May 2025) - arXiv:2505.12167
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts (May 2025) - arXiv:2505.11750
Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall (May 2025) - arXiv:2505.10241
Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model (May 2025) - arXiv:2505.08742
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction (May 2025) - arXiv:2505.04918
Exploring Design Choices for Autoregressive Deep Learning Climate Models (May 2025) - arXiv:2505.02506
Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves (Apr 2025) - arXiv:2504.21195
Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions (Apr 2025) - arXiv:2504.20852
Atmospheric Predictability Beyond 30 Days with Machine Learning (Apr 2025) - arXiv:2504.20238
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density (Apr 2025) - arXiv:2504.19822
Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU (Apr 2025) - arXiv:2504.17028
Adversarial Observations in Weather Forecasting (Apr 2025) - arXiv:2504.15942
TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State (Apr 2025) - arXiv:2504.09940
Example-Based Concept Analysis Framework for Deep Weather Forecast Models (Apr 2025) - arXiv:2504.00831
Explainable AI-Based Interface System for Weather Forecasting Model (Apr 2025) - arXiv:2504.00795
Improving prediction of heavy rainfall in the Mediterranean with Neural Networks using both observation and Numerical Weather Prediction data (Mar 2025) - arXiv:2503.24216
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction (Mar 2025) - arXiv:2503.23408
WeatherMesh-3: Fast and accurate operational global weather forecasting (Mar 2025) - arXiv:2503.22235
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling (Mar 2025) - arXiv:2503.19940
Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models (Mar 2025) - arXiv:2503.19354
Local wind speed forecasting at short time horizons based on Numerical Weather Prediction and observations from surrounding stations (Mar 2025) - arXiv:2503.18797
Towards Location-Specific Precipitation Projections Using Deep Neural Networks (Mar 2025) - arXiv:2503.14095
Development of a Data-driven weather forecasting system over India with Pangu-Weather architecture and IMDAA reanalysis Data (Mar 2025) - arXiv:2503.12956
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data (Mar 2025) - arXiv:2503.12273
Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network (Mar 2025) - arXiv:2503.09840
Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting (Mar 2025) - arXiv:2503.06436
Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models (Mar 2025) - arXiv:2503.02665
ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting (Mar 2025) - arXiv:2503.00424
Investigating the use of terrain-following coordinates in AI-driven precipitation forecasts (Mar 2025) - arXiv:2503.00332
Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile (Feb 2025) - arXiv:2502.17495
AI Models Still Lag Behind Traditional Numerical Models in Predicting Sudden-Turning Typhoons (Feb 2025) - arXiv:2502.16036
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models (Feb 2025) - arXiv:2502.11059
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods (Feb 2025) - arXiv:2502.04409
Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space (Feb 2025) - arXiv:2502.02884
Enhancing Near Real Time AI-NWP Hurricane Forecasts: Improving Explainability and Performance Through Physics-Based Models and Land Surface Feedback (Feb 2025) - arXiv:2502.01797
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function (Jan 2025) - arXiv:2501.19374
Improving Tropical Cyclone Forecasting With Video Diffusion Models (Jan 2025) - arXiv:2501.16003
QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting (Jan 2025) - arXiv:2501.10866
Deep Learning and Foundation Models for Weather Prediction: A Survey (Jan 2025) - arXiv:2501.06907
Improving AI weather prediction models using global mass and energy conservation schemes (Jan 2025) - arXiv:2501.05648
OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations (Dec 2024) - arXiv:2412.18239
Assimilating Observed Surface Pressure into ML Weather Prediction Models (Dec 2024) - arXiv:2412.18016
AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score (Dec 2024) - arXiv:2412.15832
GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations (Dec 2024) - arXiv:2412.15687
ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting (Dec 2024) - arXiv:2412.12971
Metastability, atmospheric midlatitude circulation regimes and large-scale teleconnection: a data-driven approach (Dec 2024) - arXiv:2412.06933
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models (Dec 2024) - arXiv:2412.01013
Smoothing and spatial verification of global fields (Dec 2024) - arXiv:2412.00936
Exploring the Use of Machine Learning Weather Models in Data Assimilation (Nov 2024) - arXiv:2411.14677
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation (Nov 2024) - arXiv:2411.12640
FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere (Nov 2024) - arXiv:2411.10191
DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models (Nov 2024) - arXiv:2411.10010
Community Research Earth Digital Intelligence Twin (CREDIT) (Nov 2024) - arXiv:2411.07814
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning (Nov 2024) - arXiv:2411.05420
Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis (Nov 2024) - arXiv:2411.05384
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts (Oct 2024) - arXiv:2410.18904
Can AI weather models predict out-of-distribution gray swan tropical cyclones? (Oct 2024) - arXiv:2410.14932
Data-driven rainfall prediction at a regional scale: a case study with Ghana (Oct 2024) - arXiv:2410.14062
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness (Oct 2024) - arXiv:2410.13175
Testing NeuralGCM's capability to simulate future heatwaves based on the 2021 Pacific Northwest heatwave event (Oct 2024) - arXiv:2410.09120
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model (Oct 2024) - arXiv:2410.09109
Exploring the design space of deep-learning-based weather forecasting systems (Oct 2024) - arXiv:2410.07472
Continuous Ensemble Weather Forecasting with Diffusion models (Oct 2024) - arXiv:2410.05431
YanTian: An Application Platform for AI Global Weather Forecasting Models (Oct 2024) - arXiv:2410.04539
Predictability of Global AI Weather Models (Oct 2024) - arXiv:2410.03266
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting (Sep 2024) - arXiv:2409.18885
Robustness of AI-based weather forecasts in a changing climate (Sep 2024) - arXiv:2409.18529
WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer (Sep 2024) - arXiv:2409.16321
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river (Sep 2024) - arXiv:2409.11605
Super Resolution On Global Weather Forecasts (Sep 2024) - arXiv:2409.11502
Weather Prediction Using CNN-LSTM for Time Series Analysis: A Case Study on Delhi Temperature Data (Sep 2024) - arXiv:2409.09414
WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models (Sep 2024) - arXiv:2409.09371
FuXi-2.0: Advancing machine learning weather forecasting model for practical applications (Sep 2024) - arXiv:2409.07188
Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models (Sep 2024) - arXiv:2409.06735
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics (Sep 2024) - arXiv:2409.06522
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification (Sep 2024) - arXiv:2409.05975
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks (Sep 2024) - arXiv:2409.02123
Uncertainty-aware segmentation for rainfall prediction post processing (Aug 2024) - arXiv:2408.16792
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis (Aug 2024) - arXiv:2408.14587
Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation (Aug 2024) - arXiv:2408.12630
Benchmarking AI-based data assimilation to advance data-driven global weather forecasting (Aug 2024) - arXiv:2408.11438
Atmospheric Transport Modeling of CO$_2$ with Neural Networks (Aug 2024) - arXiv:2408.11032
Uncertainty Quantification of Surrogate Models using Conformal Prediction (Aug 2024) - arXiv:2408.09881
FuXi Weather: A data-to-forecast machine learning system for global weather (Aug 2024) - arXiv:2408.05472
The impact of internal variability on benchmarking deep learning climate emulators (Aug 2024) - arXiv:2408.05288
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators (Aug 2024) - arXiv:2408.03100
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators (Aug 2024) - arXiv:2408.01581
Spatial Temporal Approach for High-Resolution Gridded Wind Forecasting across Southwest Western Australia (Jul 2024) - arXiv:2407.20283
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space (Jul 2024) - arXiv:2407.19187
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1 (Jul 2024) - arXiv:2407.17781
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators (Jul 2024) - arXiv:2407.16463
Data driven weather forecasts trained and initialised directly from observations (Jul 2024) - arXiv:2407.15586
Comparing and Contrasting DLWP Backbones on Navier-Stokes and Atmospheric Dynamics (Jul 2024) - arXiv:2407.14129
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics (Jul 2024) - arXiv:2407.12168
Global atmospheric data assimilation with multi-modal masked autoencoders (Jul 2024) - arXiv:2407.11696
Neural Compression of Atmospheric States (Jul 2024) - arXiv:2407.11666
Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging (Jul 2024) - arXiv:2407.06100
GenCast: Diffusion-based ensemble forecasting for medium-range weather (Dec 2023) - arXiv:2312.15796
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation (Dec 2023) - arXiv:2312.12455
GraphCast: Learning skillful medium-range global weather forecasting (Dec 2022) - arXiv:2212.12794
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast (Nov 2022) - arXiv:2211.02556
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation (May 2022) - arXiv:2205.13158
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (Feb 2022) - arXiv:2202.11214

Regional Models (63)

Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography (Oct 2026) - arXiv:2610.01835
Less is more: error-distance scaling relation for data-efficient kilometer-scale downscaling of extreme heat (Sep 2026) - arXiv:2609.40140
RainAtlas: A Multi-Continental Dataset for Precipitation Downscaling (Sep 2026) - arXiv:2609.39833
West-WRF AI 2-km: High-Resolution Prediction of Integrated Vapor Transport and Precipitation (Sep 2026) - arXiv:2609.25512
Kilometer-Scale AI Downscaling of Atlantic Hurricanes with Generative Ensembles (Sep 2026) - arXiv:2609.02034
Generative data assimilation highlights fronts as key regulators of ocean energy cascade (Aug 2026) - arXiv:2608.14955
High-resolution Calibrated Probabilistic Hourly Precipitation from a Deterministic Forecast (Aug 2026) - arXiv:2608.12685
MAPCast: A Convection Allowing MPAS Emulator for Ensemble-based Background Error Covariance Estimation Toward Multi-Scale Data Assimilation (Jul 2026) - arXiv:2607.21917
Geospatial Diffusion-based Evolution Synthesis (GeoDES) for Storm-Centered Weather Augmentation (Jul 2026) - arXiv:2607.19522
Apeliotes: A Diffusion-Based Modeling Framework for km-scale Multi-Level Atmospheric Fields (Jul 2026) - arXiv:2607.17037
HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting (Jul 2026) - arXiv:2607.11457
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model (Jul 2026) - arXiv:2607.03279
Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet (Jun 2026) - arXiv:2606.31248
From stable online coupling to decade-long climate simulations: A machine learning parameterization for cloud microphysics in ICON (Jun 2026) - arXiv:2606.23829
PRecover 1.0: Process Rate Recovery with Machine Learning (Jun 2026) - arXiv:2606.20165
Skillful high-resolution weather forecasting independent of physical models (May 2026) - arXiv:2605.28153
AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion (May 2026) - arXiv:2605.26130
Exascale Hybrid Numerical-AI Ensembles for Operational Flood-Season Forecasting in East Asia: 15-km Decadal Hindcasts and 1-km High-Resolution Capability (May 2026) - arXiv:2605.24896
Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework (May 2026) - arXiv:2605.24032
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland (May 2026) - arXiv:2605.16163
Federated Weather Modeling on Sensor Data (May 2026) - arXiv:2605.00322
Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting (Apr 2026) - arXiv:2604.22580
Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction (Apr 2026) - arXiv:2604.16590
OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning (Apr 2026) - arXiv:2604.09346
Assessing the ability of a stretched-grid deep-learning weather prediction model to capture physical balances (Apr 2026) - arXiv:2604.01454
Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling (Mar 2026) - arXiv:2603.28173
Calibrated Conformal Prediction Intervals for Microphysical Process Rates (Mar 2026) - arXiv:2603.27699
Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System (Mar 2026) - arXiv:2603.20250
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction (Mar 2026) - arXiv:2603.13563
AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling (Feb 2026) - arXiv:2602.18646
Flo: A data-driven limited-area storm surge model (Jan 2026) - arXiv:2601.02090
HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model (Dec 2025) - arXiv:2512.18224
High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid (Nov 2025) - arXiv:2511.23043
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution (Nov 2025) - arXiv:2511.19431
Km-scale dynamical downscaling through conformalized latent diffusion models (Oct 2025) - arXiv:2510.13301
CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score (Oct 2025) - arXiv:2510.09484
DANRA: The Kilometer-Scale Danish Regional Atmospheric Reanalysis (Oct 2025) - arXiv:2510.04681
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting (Sep 2025) - arXiv:2509.25210
Using machine learning to downscale coarse-resolution environmental variables for understanding the spatial frequency of convective storms (Sep 2025) - arXiv:2509.08802
IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India (Sep 2025) - arXiv:2509.00653
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS) (Aug 2025) - arXiv:2508.03845
A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting (Jul 2025) - arXiv:2507.18378
HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales (Jul 2025) - arXiv:2507.05658
Efficient Kilometer-Scale Precipitation Downscaling with Conditional Wavelet Diffusion (Jul 2025) - arXiv:2507.01354
Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields (May 2025) - arXiv:2505.12732
Improving regional weather forecasts with neural interpolation (May 2025) - arXiv:2505.12040
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere (May 2025) - arXiv:2505.06474
Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings (Apr 2025) - arXiv:2504.09340
CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting (Mar 2025) - arXiv:2503.13546
Generative Modeling of Microweather Wind Velocities for Urban Air Mobility (Mar 2025) - arXiv:2503.02690
Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning (Feb 2025) - arXiv:2502.13316
Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion (Feb 2025) - arXiv:2502.07532
OneForecast: A Universal Framework for Global and Regional Weather Forecasting (Feb 2025) - arXiv:2502.00338
TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models (Dec 2024) - arXiv:2412.13627
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data (Dec 2024) - arXiv:2412.10450
ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting (Nov 2024) - arXiv:2411.16807
Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model (Sep 2024) - arXiv:2409.20087
Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region (Sep 2024) - arXiv:2409.07585
Regional data-driven weather modeling with a global stretched-grid (Sep 2024) - arXiv:2409.02891
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling (Aug 2024) - arXiv:2408.10958
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model (Aug 2024) - arXiv:2408.06400
Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model (Jul 2024) - arXiv:2407.14158
A Deep Learning Approach for Modeling and Hindcasting Lake Michigan Ice Cover (Jul 2024) - arXiv:2407.04937

Nowcasting (101)

Physics-Guided Flow-Map Matching for Precipitation Nowcasting (Sep 2026) - arXiv:2609.37487
NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters (Sep 2026) - arXiv:2609.37038
Explainable Deep Learning for Probabilistic Nowcasting of Radar Reflectivity in Tornadic Storms (Sep 2026) - arXiv:2609.35675
MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation (Sep 2026) - arXiv:2609.34836
IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy (Sep 2026) - arXiv:2609.17175
From Nowcasting to Forecasting: Adapting a Reanalysis-Trained (Sep 2026) - arXiv:2609.03763
GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting (Sep 2026) - arXiv:2609.00544
GOES-East full-disk AI nowcasting of cloud evolution in observation space (Aug 2026) - arXiv:2608.20540
Meteorology-driven Causal Nowcasting of Fugitive Landfill Emissions Enables Proactive Public Health Response (Aug 2026) - arXiv:2608.14254
Real-Time Climate Risk Assessment for Supply Chain Resilience: A Data-Driven Nowcasting Framework for Colombian Agriculture (Aug 2026) - arXiv:2608.09846
FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting (Aug 2026) - arXiv:2608.08436
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting (Aug 2026) - arXiv:2608.06082
Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting (Jul 2026) - arXiv:2607.16080
Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks (Jun 2026) - arXiv:2606.18436
When the Past Matters: FlashBack Memory for Precipitation Nowcasting (Jun 2026) - arXiv:2606.16342
Temporal Context Conditioning for Seasonality-Aware Precipitation Nowcasting of High-Intensity Rainfall (Jun 2026) - arXiv:2606.09959
Learning to Solve Generative ODEs Beyond the Linear Span (Jun 2026) - arXiv:2606.08672
Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting (Jun 2026) - arXiv:2606.02661
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers (May 2026) - arXiv:2605.31204
Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression (May 2026) - arXiv:2605.30122
Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift (May 2026) - arXiv:2605.21507
MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting (May 2026) - arXiv:2605.14606
VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting (May 2026) - arXiv:2605.14597
Spatiotemporal downscaling and nowcasting of urban land surface temperatures with deep neural networks (May 2026) - arXiv:2605.13566
McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting (May 2026) - arXiv:2605.13197
Stable Attention Response for Reliable Precipitation Nowcasting (May 2026) - arXiv:2605.13181
PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows (May 2026) - arXiv:2605.10046
IMPA-Net: Meteorology-Aware Multi-Scale Attention and Dynamic Loss for Extreme Convective Radar Nowcasting (Apr 2026) - arXiv:2604.24224
M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention (Apr 2026) - arXiv:2604.15377
A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions (Apr 2026) - arXiv:2604.10328
MAG-Net: Physics-Aware Multi-Modal Fusion of Geostationary Satellite and Radar for Severe Convective Precipitation Nowcasting (Apr 2026) - arXiv:2604.02818
SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting (Mar 2026) - arXiv:2603.21879
Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors (Mar 2026) - arXiv:2603.21768
PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting (Mar 2026) - arXiv:2603.13818
MeTok: An Efficient Meteorological Tokenization with Hyper-Aligned Group Learning for Precipitation Nowcasting (Mar 2026) - arXiv:2603.13752
Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning (Mar 2026) - arXiv:2603.13589
FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors (Mar 2026) - arXiv:2603.13298
MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting (Mar 2026) - arXiv:2603.04461
Training-free retrieval-augmented generation with reinforced reasoning for flood damage nowcasting (Feb 2026) - arXiv:2602.10312
Machine Learning-Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes (Feb 2026) - arXiv:2602.07108
WADEPre: A Wavelet-based Decomposition Model for Extreme Precipitation Nowcasting with Multi-Scale Learning (Feb 2026) - arXiv:2602.02096
StormDiT: A generative AI model bridges the 2-6 hour 'gray zone' in precipitation nowcasting (Jan 2026) - arXiv:2601.20342
Spread/Error relationship and spatial error structure of precipitation ensemble nowcasting: Comparison of STEPS and generative AI (Jan 2026) - arXiv:2601.19298
RainBalance: Alleviating Dual Imbalance in GNSS-based Precipitation Nowcasting via Continuous Probability Modeling (Jan 2026) - arXiv:2601.06137
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting (Dec 2025) - arXiv:2512.21118
A curated UK rain radar data set for training and benchmarking nowcasting models (Dec 2025) - arXiv:2512.17924
Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes (Dec 2025) - arXiv:2512.16967
Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America (Dec 2025) - arXiv:2512.13910
PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting (Dec 2025) - arXiv:2512.01062
Rectifying Distribution Shift in Cascaded Precipitation Nowcasting (Nov 2025) - arXiv:2511.17628
Nowcasting of Aviation Radiation Using Geospace Environment Properties: A Machine Learning Approach (Nov 2025) - arXiv:2511.15746
Computationally-efficient deep learning models for nowcasting of precipitation: A solution for the Weather4cast 2025 challenge (Nov 2025) - arXiv:2511.11197
A Comparison of Lightweight Deep Learning Models for Particulate-Matter Nowcasting in the Indian Subcontinent & Surrounding Regions (Nov 2025) - arXiv:2511.11185
Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI (Nov 2025) - arXiv:2511.11152
A Space-Time Transformer for Precipitation Nowcasting (Nov 2025) - arXiv:2511.11090
DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting (Nov 2025) - arXiv:2511.10894
FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching (Nov 2025) - arXiv:2511.09731
Precipitation nowcasting of satellite data using physically-aligned neural networks (Nov 2025) - arXiv:2511.05471
Nowcast3D: Reliable precipitation nowcasting via gray-box learning (Nov 2025) - arXiv:2511.04659
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers (Oct 2025) - arXiv:2510.24254
SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization (Oct 2025) - arXiv:2510.21847
A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting (Oct 2025) - arXiv:2510.16031
RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion (Oct 2025) - arXiv:2510.14962
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting (Oct 2025) - arXiv:2510.13050
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation (Oct 2025) - arXiv:2510.07953
BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression (Oct 2025) - arXiv:2510.06293
Probability calibration for precipitation nowcasting (Oct 2025) - arXiv:2510.00594
Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction (Sep 2025) - arXiv:2509.11459
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction (Sep 2025) - arXiv:2509.10501
Stop using root-mean-square error as a precipitation target! (Sep 2025) - arXiv:2509.08369
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland (Sep 2025) - arXiv:2509.00017
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation (Jul 2025) - arXiv:2507.16219
Do Echo Top Heights Improve Deep Learning Nowcasts? (Jul 2025) - arXiv:2507.00845
Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting (May 2025) - arXiv:2505.19258
How to use score-based diffusion in earth system science: A satellite nowcasting example (May 2025) - arXiv:2505.10432
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours (May 2025) - arXiv:2505.10271
Axial-UNet: A Neural Weather Model for Precipitation Nowcasting (Apr 2025) - arXiv:2504.19408
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling (Apr 2025) - arXiv:2504.18309
Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks (Apr 2025) - arXiv:2504.09994
WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia (Apr 2025) - arXiv:2504.06532
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation (Mar 2025) - arXiv:2503.22724
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet (Feb 2025) - arXiv:2502.16116
Skillful Nowcasting of Convective Clouds With a Cascade Diffusion Model (Feb 2025) - arXiv:2502.10957
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong (Jan 2025) - arXiv:2501.02814
Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting (Dec 2024) - arXiv:2412.19832
Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting (Dec 2024) - arXiv:2412.15917
Data-driven Precipitation Nowcasting Using Satellite Imagery (Dec 2024) - arXiv:2412.11480
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America (Dec 2024) - arXiv:2412.02723
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting (Dec 2024) - arXiv:2412.01091
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting (Oct 2024) - arXiv:2410.23159
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning (Oct 2024) - arXiv:2410.21329
Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models (Oct 2024) - arXiv:2410.14103
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention (Oct 2024) - arXiv:2410.13314
Multi-Source Temporal Attention Network for Precipitation Nowcasting (Oct 2024) - arXiv:2410.08641
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling (Oct 2024) - arXiv:2410.05805
Prithvi WxC: Foundation Model for Weather and Climate (Sep 2024) - arXiv:2409.13598
Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data (Sep 2024) - arXiv:2409.10367
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas (Aug 2024) - arXiv:2408.05761
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting (Jul 2024) - arXiv:2407.11317
Skilful Precipitation Nowcasting Using NowcastNet (Nov 2023) - arXiv:2311.17961
MetNet: A Neural Weather Model for Precipitation Forecasting (Mar 2020) - arXiv:2003.12140

Downscaling (98)

Lightweight Probabilistic Downscaling from a Deterministic Base Model (Sep 2026) - arXiv:2609.29383
Generative Atmospheric Super-Resolution from Heterogeneous In Situ Observations through Composable Interfaces (Sep 2026) - arXiv:2609.29027
Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling (Sep 2026) - arXiv:2609.28749
Diffusion-Based Super-Resolution of Adriatic Sea Oceanographic Fields (Sep 2026) - arXiv:2609.22574
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling (Sep 2026) - arXiv:2609.09247
Python-Fortran Hybrid Programming to Fuse AI and Physical Models: Examples of AI-LDA in climate and weather models (Hf2pMDA_v1.0) (Aug 2026) - arXiv:2608.29532
Precipitation Downscaling Using Foundation Model-Conditioned Diffusion (Aug 2026) - arXiv:2608.25858
Earth observation embeddings are effective sub-grid descriptors for probabilistic weather downscaling (Aug 2026) - arXiv:2608.12271
Deep Learning-Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network (Aug 2026) - arXiv:2608.10022
Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment (Aug 2026) - arXiv:2608.05981
Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling (Aug 2026) - arXiv:2608.04230
Physics-Informed Super-Resolution of Atmospheric Data (Jul 2026) - arXiv:2607.18877
Super-Resolution of Radar/Raingauge-Analyzed Precipitation Using Gaussian Process Regression with a Steering Kernel (Jul 2026) - arXiv:2607.07290
Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift (Jul 2026) - arXiv:2607.05645
Exploring Convolutional Neural Processes for Weather Downscaling (Jul 2026) - arXiv:2607.04190
CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview (Jun 2026) - arXiv:2606.29172
Temporal Coverage over Density: Parsimonious Training-Set Design for ML Climate Downscaling (Jun 2026) - arXiv:2606.07898
Flow Matching for Convective-Scale Precipitation Downscaling (Jun 2026) - arXiv:2606.00281
Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection (May 2026) - arXiv:2605.23776
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (May 2026) - arXiv:2605.23403
Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior (May 2026) - arXiv:2605.17603
Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies (May 2026) - arXiv:2605.11531
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution (May 2026) - arXiv:2605.03399
Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in Alaska (Apr 2026) - arXiv:2604.25172
Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting (Apr 2026) - arXiv:2604.07928
Physics-Constrained Adaptive Flow Matching for Climate Downscaling (Apr 2026) - arXiv:2604.03459
Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models (Apr 2026) - arXiv:2604.03303
IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales (Apr 2026) - arXiv:2604.03275
30-meter Land Surface Temperature from Landsat via Progressive Self-Training Downscaling (Mar 2026) - arXiv:2603.29478
Climate Downscaling with Stochastic Interpolants (CDSI) (Mar 2026) - arXiv:2603.03838
Physics Encoded Spatial and Temporal Generative Adversarial Network for Tropical Cyclone Image Super-resolution (Feb 2026) - arXiv:2602.17277
MAUNet-Light: A Concise MAUNet Architecture for Bias Correction and Downscaling of Precipitation Estimates (Feb 2026) - arXiv:2602.12980
Universal Diffusion-Based Probabilistic Downscaling (Feb 2026) - arXiv:2602.11893
WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling (Feb 2026) - arXiv:2602.03924
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression (Feb 2026) - arXiv:2602.02813
HybridOM: Hybrid Physics-Based and Data-Driven Global Ocean Modeling with Efficient Spatial Downscaling (Feb 2026) - arXiv:2602.00598
Zero-Shot Statistical Downscaling via Diffusion Posterior Sampling (Jan 2026) - arXiv:2601.21760
An intercomparison of generative machine learning methods for downscaling precipitation at fine spatial scales (Dec 2025) - arXiv:2512.13987
Time-aware UNet and super-resolution deep residual networks for spatial downscaling (Dec 2025) - arXiv:2512.13753
MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater (Dec 2025) - arXiv:2512.12142
Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe (Dec 2025) - arXiv:2512.07429
China Regional 3km Downscaling Based on Residual Corrective Diffusion Model (Dec 2025) - arXiv:2512.05377
Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models (Dec 2025) - arXiv:2512.05139
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling (Dec 2025) - arXiv:2512.01400
Super-resolution of satellite-derived SST data via Generative Adversarial Networks (Nov 2025) - arXiv:2511.22610
A multiresolution weather dataset for the Southwestern South Atlantic (2017-2018) (Nov 2025) - arXiv:2511.18704
Climate Downscaling of Tropical Cyclone Intensity using Deep Learning (Nov 2025) - arXiv:2511.05392
A PDE-Informed Latent Diffusion Model for 2-m Temperature Downscaling (Oct 2025) - arXiv:2510.23866
Sparse Local Implicit Image Function for sub-km Weather Downscaling (Oct 2025) - arXiv:2510.20228
Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling (Oct 2025) - arXiv:2510.13722
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge (Oct 2025) - arXiv:2510.12148
Deep Learning Reconstruction of Tropical Cyclogenesis in the Western North Pacific from Climate Reanalysis Dataset (Oct 2025) - arXiv:2510.06118
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds (Oct 2025) - arXiv:2510.03364
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules (Sep 2025) - arXiv:2509.26258
CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates (Sep 2025) - arXiv:2509.00010
Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature (Jul 2025) - arXiv:2507.22485
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents (Jul 2025) - arXiv:2507.18067
Wasserstein GAN-Based Precipitation Downscaling with Optimal Transport for Enhancing Perceptual Realism (Jul 2025) - arXiv:2507.17798
Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes (Jul 2025) - arXiv:2507.06527
RainShift: A Benchmark for Precipitation Downscaling Across Geographies (Jul 2025) - arXiv:2507.04930
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence (Jul 2025) - arXiv:2507.00719
Multimodal Atmospheric Super-Resolution With Deep Generative Models (Jun 2025) - arXiv:2506.22780
Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture (Jun 2025) - arXiv:2506.22447
Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling (Jun 2025) - arXiv:2506.19391
MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling (Jun 2025) - arXiv:2506.14798
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting (May 2025) - arXiv:2505.14555
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling (May 2025) - arXiv:2505.04802
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast (May 2025) - arXiv:2505.04396
Zero-Shot Super-Resolution from Unstructured Data Using a Transformer-Based Neural Operator for Urban Micrometeorology (Apr 2025) - arXiv:2504.21361
Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation (Apr 2025) - arXiv:2504.10776
NWP-based deep learning for tropical cyclone intensity prediction (Apr 2025) - arXiv:2504.09143
RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling (Mar 2025) - arXiv:2503.13316
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution (Feb 2025) - arXiv:2502.07814
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling (Jan 2025) - arXiv:2501.14822
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations (Jan 2025) - arXiv:2501.14404
PrecipDiff: Leveraging image diffusion models to enhance satellite-based precipitation observations (Jan 2025) - arXiv:2501.07447
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators (Jan 2025) - arXiv:2501.05058
Continuous latent representations for modeling precipitation with deep learning (Dec 2024) - arXiv:2412.14620
Downscaling Precipitation with Bias-informed Conditional Diffusion Model (Dec 2024) - arXiv:2412.14539
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model (Dec 2024) - arXiv:2412.11399
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport (Dec 2024) - arXiv:2412.10945
Enhancing operational wind downscaling capabilities over Canada: Application of a Conditional Wasserstein GAN methodology (Dec 2024) - arXiv:2412.06958
Global spatio-temporal downscaling of ERA5 precipitation through generative AI (Nov 2024) - arXiv:2411.16098
Resolution-Agnostic Transformer-based Climate Downscaling (Nov 2024) - arXiv:2411.14774
Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches (Oct 2024) - arXiv:2410.12728
Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power (Oct 2024) - arXiv:2410.03945
Dynamical-generative downscaling of climate model ensembles (Oct 2024) - arXiv:2410.01776
Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion (Oct 2024) - arXiv:2410.00381
MoCoLSK: Modality Conditioned High-Resolution Downscaling for Land Surface Temperature (Sep 2024) - arXiv:2409.19835
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data (Sep 2024) - arXiv:2409.17367
On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates (Sep 2024) - arXiv:2409.13934
Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features (Sep 2024) - arXiv:2409.02120
Downscaling Neural Network for Coastal Simulations (Aug 2024) - arXiv:2408.16553
Generative Diffusion Model-based Downscaling of Observed Sea Surface Height over Kuroshio Extension since 2000 (Aug 2024) - arXiv:2408.12632
Rapid Statistical-Physical Adversarial Downscaling Reveals Bangladesh's Rising Rainfall Risk in a Warming Climate (Aug 2024) - arXiv:2408.11790
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling (Aug 2024) - arXiv:2408.10854
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data and Application to Ukraine (Jul 2024) - arXiv:2407.19086
Evaluating the transferability potential of deep learning models for climate downscaling (Jul 2024) - arXiv:2407.12517

Post-processing (25)

ClimTip-GML: A global bias-corrected and downscaled dataset for assessing impacts of climate tipping events (Sep 2026) - arXiv:2609.23149
Statistical versus machine learning-based spatial interpolation of post-processed ensemble weather forecasts (Sep 2026) - arXiv:2609.07512
PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast (Sep 2026) - arXiv:2609.06942
A Differentiable Framework for Global Circulation Model Precipitation Bias Correction (Apr 2026) - arXiv:2604.23045
Improvements to the post-processing of weather forecasts using machine learning and feature selection (Apr 2026) - arXiv:2604.19340
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting (Mar 2026) - arXiv:2603.25046
HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks (Mar 2026) - arXiv:2603.06649
Ensemble-size-dependence of deep-learning post-processing methods that minimize an (un)fair score: motivating examples and a proof-of-concept solution (Feb 2026) - arXiv:2602.15830
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles (Feb 2026) - arXiv:2602.13010
STIPP: Space-time in situ postprocessing over the French Alps using proper scoring rules (Jan 2026) - arXiv:2601.02882
Are we misdiagnosing ensemble forecast reliability? On the insufficiency of Spread-Error and rank-based reliability metrics (Dec 2025) - arXiv:2512.02160
COBASE: A new copula-based shuffling method for ensemble weather forecast postprocessing (Oct 2025) - arXiv:2510.25610
A Review of Neural Networks in Precipitation Prediction (Oct 2025) - arXiv:2510.22855
A Composite-Loss Graph Neural Network for the Multivariate Post-Processing of Ensemble Weather Forecasts (Sep 2025) - arXiv:2509.02784
How to systematically develop an effective AI-based bias correction model? (Apr 2025) - arXiv:2504.15322
Statistical post-processing yields accurate probabilistic forecasts from Artificial Intelligence weather models (Apr 2025) - arXiv:2504.12672
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall (Apr 2025) - arXiv:2504.05471
Generating ensembles of spatially-coherent in-situ forecasts using flow matching (Apr 2025) - arXiv:2504.03463
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models (Apr 2025) - arXiv:2504.00128
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts (Dec 2024) - arXiv:2412.13957
Boosting weather forecast via generative superensemble (Dec 2024) - arXiv:2412.08377
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation (Dec 2024) - arXiv:2412.05825
Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors (Aug 2024) - arXiv:2408.16349
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts (Jul 2024) - arXiv:2407.11050
Improving ensemble extreme precipitation forecasts using generative artificial intelligence (Jul 2024) - arXiv:2407.04882

Data Assimilation (75)

Benchmarking Generative Models for Weather Data Assimilation on Real Station Observations (Oct 2026) - arXiv:2610.00728
A score-based particle flow filter for non-Gaussian data assimilation in high-dimensional chaotic systems (Aug 2026) - arXiv:2608.22454
Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation) (Aug 2026) - arXiv:2608.21234
Coupled multiscale paleoclimate reconstruction with four-dimensional variational data assimilation (Aug 2026) - arXiv:2608.19469
Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities (Jul 2026) - arXiv:2607.26581
Sparse Sensor Placement for Reducing Forecast Errors in Ensemble Kalman Filtering (Jun 2026) - arXiv:2606.27267
Uncertainty quantification via conformal prediction in data assimilation (Jun 2026) - arXiv:2606.27001
Using Distributional Regression Networks to Retrieve Cloud Properties from Solar Satellite Channels for Data Assimilation (Jun 2026) - arXiv:2606.21294
Global kilometre-scale tropical cyclone inner-core vector winds from sparse scalar CYGNSS observations (May 2026) - arXiv:2605.18477
ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing (May 2026) - arXiv:2605.14285
Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining (May 2026) - arXiv:2605.10956
Earth-o1: A Grid-free Observation-native Atmospheric World Model (May 2026) - arXiv:2605.06337
The Physical Limit of Neural Hypoxia Detection in the Black Sea from Satellite Observations (Apr 2026) - arXiv:2604.25608
Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models (Apr 2026) - arXiv:2604.21180
Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models (Apr 2026) - arXiv:2604.00082
Self-Organizing Score-based Data Assimilation (Mar 2026) - arXiv:2603.28048
Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction (Mar 2026) - arXiv:2603.22037
Convergence Analysis of a Fully Discrete Observer For Data Assimilation of the Barotropic Euler Equations (Mar 2026) - arXiv:2603.10962
Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification (Mar 2026) - arXiv:2603.04395
Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation (Feb 2026) - arXiv:2602.23188
LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics (Feb 2026) - arXiv:2602.19406
Preconditioned Adjoint Data Assimilation for Two-Dimensional Decaying Isotropic Turbulence (Feb 2026) - arXiv:2602.14016
FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching (Feb 2026) - arXiv:2602.06800
On a system of equations arising in meteorology: Well-posedness and data assimilation (Feb 2026) - arXiv:2602.02328
SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework (Jan 2026) - arXiv:2601.21664
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines (Jan 2026) - arXiv:2601.20295
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance (Jan 2026) - arXiv:2601.11440
The Ensemble Schr{ö}dinger Bridge filter for Nonlinear Data Assimilation (Dec 2025) - arXiv:2512.18928
A Neural-Network Model-Measurement-Based Observation Operator For Weather Radar Reflectivity Assimilation (Dec 2025) - arXiv:2512.18289
Continuous data assimilation for 2D stochastic Navier-Stokes equations (Dec 2025) - arXiv:2512.15184
Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model (Dec 2025) - arXiv:2512.12276
Predicting CME Arrivals with Heliospheric Imagers from L5: A Data Assimilation Approach (Dec 2025) - arXiv:2512.09738
Data assimilation and discrepancy modeling with shallow recurrent decoders (Dec 2025) - arXiv:2512.01170
Towards Streaming Prediction of Oscillatory Flows: A Data Assimilation and Machine Learning Approach (Nov 2025) - arXiv:2511.15758
SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing (Nov 2025) - arXiv:2511.15182
Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model (Nov 2025) - arXiv:2511.12620
DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation (Nov 2025) - arXiv:2511.01468
Using data assimilation tools to dissect GraphDOP (Oct 2025) - arXiv:2510.27388
Interpolated Discrepancy Data Assimilation for PDEs with Sparse Observations (Oct 2025) - arXiv:2510.24944
LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation (Oct 2025) - arXiv:2510.22562
Continuous data assimilation applied to the Rayleigh-Benard problem for compressible fluid flows (Oct 2025) - arXiv:2510.20316
Non-intrusive structural-preserving sequential data assimilation (Oct 2025) - arXiv:2510.19701
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space (Oct 2025) - arXiv:2510.15978
Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size (Oct 2025) - arXiv:2510.15284
Incorporating Multivariate Consistency in ML-Based Weather Forecasting with Latent-space Constraints (Oct 2025) - arXiv:2510.04006
On the joint observability of flow fields and particle properties from Lagrangian trajectories: evidence from neural data assimilation (Oct 2025) - arXiv:2510.00479
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation (Sep 2025) - arXiv:2509.22949
Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models (Sep 2025) - arXiv:2509.17625
Lagrangian-Eulerian Multiscale Data Assimilation in Physical Domain based on Conditional Gaussian Nonlinear System (Sep 2025) - arXiv:2509.14586
Learning from nature: insights into GraphDOP's representations of the Earth System (Aug 2025) - arXiv:2508.18018
PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models (Aug 2025) - arXiv:2508.00325
Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network (Jul 2025) - arXiv:2507.08749
Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity (Jul 2025) - arXiv:2507.06479
A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation (Jun 2025) - arXiv:2506.11968
Using Diffusion Models to do Data Assimilation (Jun 2025) - arXiv:2506.02249
Data-assimilated model-informed reinforcement learning (Jun 2025) - arXiv:2506.01755
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences (May 2025) - arXiv:2505.22008
PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems (May 2025) - arXiv:2505.12882
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles (May 2025) - arXiv:2505.05452
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation (Apr 2025) - arXiv:2504.18720
Online model learning with data-assimilated reservoir computers (Apr 2025) - arXiv:2504.16767
EnsAI: An Emulator for Atmospheric Chemical Ensembles (Apr 2025) - arXiv:2504.16024
Organization of Historical Oceanic Overturnings on Cross-Sphere Climate Signals (Apr 2025) - arXiv:2504.06783
Hybrid machine learning data assimilation for marine biogeochemistry (Apr 2025) - arXiv:2504.05218
Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation (Mar 2025) - arXiv:2503.19160
Radiosonde-constrained reconstructions reveal a weakening Northern Hadley circulation (Mar 2025) - arXiv:2503.05331
Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather (Feb 2025) - arXiv:2502.15780
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation (Jan 2025) - arXiv:2501.16642
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation (Jan 2025) - arXiv:2501.13312
Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations (Jan 2025) - arXiv:2501.12419
Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves (Jan 2025) - arXiv:2501.08430
Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework (Dec 2024) - arXiv:2412.13477
Mean flow data assimilation using physics-constrained Graph Neural Networks (Nov 2024) - arXiv:2411.09476
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators (Sep 2024) - arXiv:2409.19518
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data (Sep 2024) - arXiv:2409.00127

Climate Modeling (292)

Safe Greenhouse Climate Control Using Lagrangian-Constrained PPO with Kolmogorov-Arnold Networks (Sep 2026) - arXiv:2609.34966
Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models (Sep 2026) - arXiv:2609.30995
Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach (Sep 2026) - arXiv:2609.30420
Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model (Sep 2026) - arXiv:2609.25953
Learning Prognostic Variables for AI Convective Parameterizations via Symbolic Distillation (Sep 2026) - arXiv:2609.24882
Climate Variability Modulates the Impact of Price Spikes on Food Insecurity (Sep 2026) - arXiv:2609.24394
A more predictable Madden-Julian Oscillation index derived from Koopman spectral analysis (Sep 2026) - arXiv:2609.19435
A Self-Diagnosing Structural Error-Aware Parameter Estimation Method for Earth System Models (Sep 2026) - arXiv:2609.16210
A Physics--ML Multi-Fidelity Strategy for Earth System Model Parameter Optimization: A QG Proof-of-Concept (Sep 2026) - arXiv:2609.13275
Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts (Sep 2026) - arXiv:2609.11696
Neptune: An AI model for Global Ocean Subseasonal Prediction (Sep 2026) - arXiv:2609.08606
GCMagicc v1: a fast generative emulator for multivariate climate-impact ensembles (Sep 2026) - arXiv:2609.08383
EastAsiaClimateExtremes: An AI-Ready Dataset of Weekly Atmospheric and Oceanic Extremes over East Asia for Subseasonal Prediction Research (Sep 2026) - arXiv:2609.08241
Radiative and Dynamical Controls on the Land-Ocean Warming Contrast in Climate Models (Sep 2026) - arXiv:2609.03658
A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling (Sep 2026) - arXiv:2609.00847
SimCast-S2S: An Efficient Generative Model for Subseasonal Precipitation Forecasting via Transfer Learning from Climate Simulations (Aug 2026) - arXiv:2608.26594
UHI-Bench: Benchmarking Dual-Source Urban Heat Island Modeling Across Cities in Diverse Climate Regimes (Aug 2026) - arXiv:2608.23857
DySCo: Dynamically consistent data-driven downscaling of extremes in climate projections (Aug 2026) - arXiv:2608.21998
Interpretable AI predicts a 2026 summer dry anomaly in central China (Aug 2026) - arXiv:2608.19163
Developing an Offshore Machine Learning Surface Layer Scheme (Aug 2026) - arXiv:2608.14935
Paleoclimate Boundary Conditions as an Out-of-Sample Test for the Forced Response of Ocean Climate Emulators (Aug 2026) - arXiv:2608.13494
Do AI Forecast Ensembles Sample the Correct Conditional Distribution? (Aug 2026) - arXiv:2608.08954
Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability (Aug 2026) - arXiv:2608.01864
A Sequence-to-Sequence ConvLSTM Approach for Leaf Area Index Forecasting over the South-Central United States (Aug 2026) - arXiv:2608.00879
Anomalous Diffusion of Tropical Cyclones Observed in Huge Ensembles of Hindcasts (Jul 2026) - arXiv:2607.21954
Flexible generation of daily Earth system model projections across radiative forcing scenarios (Jul 2026) - arXiv:2607.21382
A Deep Learning Earth System Model Simulation of Indian Monsoon Intraseasonal and Interannual Variability (Jul 2026) - arXiv:2607.01676
Learning Climate Variability from Scarce Data with Diffusion Models: A Test Case for ENSO (Jun 2026) - arXiv:2606.27094
Sampling sea state using a diffusion model (Jun 2026) - arXiv:2606.26389
Towards bridging the gap between data-driven and theoretical turbulence closures in stratified flows (Jun 2026) - arXiv:2606.20901
Exploring the potential of AlphaEarth and TESSERA embeddings for Fine-scale Local Climate Zone Mapping: A case study across five cities in Switzerland (Jun 2026) - arXiv:2606.20034
Optimal scenario design for climate emulation (Jun 2026) - arXiv:2606.19302
Investigating Inductive Biases for Machine Learning Emulation of Sudden Stratospheric Warmings in Idealised Isca Simulations (Jun 2026) - arXiv:2606.18857
Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning? (Jun 2026) - arXiv:2606.14570
Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction (Jun 2026) - arXiv:2606.11793
MMClima: A Framework for Multimodal Climate Science Data and Evaluation (Jun 2026) - arXiv:2606.10194
U-Net-Accelerated Quality-Diversity Optimization for Climate-Adaptive Urban Layouts (Jun 2026) - arXiv:2606.04658
Probabilistic storyline attribution using machine learning (Jun 2026) - arXiv:2606.02550
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations (May 2026) - arXiv:2605.29976
Probabilistic bias adjustment of seasonal forecasts using generative machine learning: A case study of Arctic sea ice predictions (May 2026) - arXiv:2605.29172
No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation (May 2026) - arXiv:2605.22248
Blending machine learning and physics-based approaches for weather and climate: a typology (May 2026) - arXiv:2605.20925
Spherical Harmonic Optimal Transport: Application to Climate Models Comparisons (May 2026) - arXiv:2605.18389
Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty (May 2026) - arXiv:2605.17419
Emulating the Forced Response of Climate Models with Flow Matching (May 2026) - arXiv:2605.16929
Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator (May 2026) - arXiv:2605.11968
A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence (May 2026) - arXiv:2605.06678
Interpretable Neural Networks to Predict Momentum Fluxes of Orographic Gravity Waves (May 2026) - arXiv:2605.05052
Probabilistic Classification and Uncertainty Quantification of Sahara Desert Climate Using Feedforward Neural Networks (May 2026) - arXiv:2605.04286
Towards accurate extreme event likelihoods from diffusion model climate emulators (May 2026) - arXiv:2605.03802
Physics-Informed Neural Learning for State Reconstruction and Parameter Identification in Coupled Greenhouse Climate Dynamics (May 2026) - arXiv:2605.02524
Leveraging Climate Services to Build Climate Resilient Power Systems (May 2026) - arXiv:2605.00717
Amplified Urban Climate Extremes from Global Warming-Urbanization Synergy: A Physics-Informed Intelligence Paradigm (Apr 2026) - arXiv:2604.24333
Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States (Apr 2026) - arXiv:2604.22909
Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2 (Apr 2026) - arXiv:2604.21233
climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer (Apr 2026) - arXiv:2604.21085
Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators (Apr 2026) - arXiv:2604.19500
AI-based Waste Mapping for Addressing Climate-Exacerbated Flood Risk (Apr 2026) - arXiv:2604.18151
Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction (Apr 2026) - arXiv:2604.16238
Capturing Aleatoric Uncertainty in Climate Models (Apr 2026) - arXiv:2604.15067
Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP (Apr 2026) - arXiv:2604.13481
Fast and principled equation discovery from chaos to climate (Apr 2026) - arXiv:2604.11929
CERBERUS: A Three-Headed Decoder for Vertical Cloud Profiles (Apr 2026) - arXiv:2604.08772
Optimizing Objective Model Calibration Approaches using Single Column Models (Apr 2026) - arXiv:2604.03594
Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields (Apr 2026) - arXiv:2604.03341
Toward Artificial Intelligence Enabled Earth System Coupling (Apr 2026) - arXiv:2604.03289
MIRANDA: MId-feature RANk-adversarial Domain Adaptation toward climate change-robust ecological forecasting with deep learning (Apr 2026) - arXiv:2604.00800
ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model (Mar 2026) - arXiv:2603.28704
Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields? (Mar 2026) - arXiv:2603.25936
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model (Mar 2026) - arXiv:2603.25843
Sub-seasonal Modulation and Predictability of Indian monsoon hourly Rainfall Extremes (Mar 2026) - arXiv:2603.24374
How Can Machine Learning Emulators Best Support Climate Science? (Mar 2026) - arXiv:2603.22320
Constructing efficient score functions for rare event simulation in high-dimensional ocean-climate models (Mar 2026) - arXiv:2603.20257
Recent Weakening of the Global Radiative Feedback (Mar 2026) - arXiv:2603.12515
CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning (Mar 2026) - arXiv:2603.09868
Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes (Mar 2026) - arXiv:2603.07712
Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport (Mar 2026) - arXiv:2603.06278
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality (Mar 2026) - arXiv:2603.05710
The Effect of Planetary Rotation Period on Clouds in a Global Climate Model with a Bin Microphysics Scheme (Mar 2026) - arXiv:2603.03767
Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models (Mar 2026) - arXiv:2603.03483
Addressing Climate Action Misperceptions with Generative AI (Feb 2026) - arXiv:2602.22564
Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators (Feb 2026) - arXiv:2602.16090
High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator (Feb 2026) - arXiv:2602.13416
Selection of CMIP6 Models for Regional Precipitation Projection and Climate Change Assessment in the Jhelum and Chenab River Basins (Feb 2026) - arXiv:2602.13181
Toward generative machine learning for boosting ensembles of climate simulations (Feb 2026) - arXiv:2602.06287
Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting (Feb 2026) - arXiv:2602.04609
Data Driven Air Entrainment Velocity Parameterization by Breaking Waves (Feb 2026) - arXiv:2602.04067
Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI (Jan 2026) - arXiv:2601.20880
Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning (Jan 2026) - arXiv:2601.18586
Field-Space Autoencoder for Scalable Climate Emulators (Jan 2026) - arXiv:2601.15102
Multivariate LSTM-Based Forecasting for Renewable Energy: Enhancing Climate Change Mitigation (Jan 2026) - arXiv:2601.10961
Reinforcement Learning to Discover a North-East Monsoon Index for Rainfall Prediction in Thailand (Jan 2026) - arXiv:2601.10181
Making Tunable Parameters State-Dependent in Weather and Climate Models with Reinforcement Learning (Jan 2026) - arXiv:2601.04268
OptFormer: Optical Flow-Guided Attention and Phase Space Reconstruction for SST Forecasting (Jan 2026) - arXiv:2601.06078
How Large Language Models Systematically Misrepresent American Climate Opinions (Dec 2025) - arXiv:2512.23889
Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models (Dec 2025) - arXiv:2512.22814
Machine learning models for predicting catastrophe bond coupons using climate data (Dec 2025) - arXiv:2512.22660
The Complete Anatomy of the Madden-Julian Oscillation Revealed by Artificial Intelligence (Dec 2025) - arXiv:2512.22144
Even Small Companies Can Save Lives by Reducing Emissions (Dec 2025) - arXiv:2512.20473
Quantum Bayesian Optimization for the Automatic Tuning of Lorenz-96 as a Surrogate Climate Model (Dec 2025) - arXiv:2512.20437
Learning vertical coordinates via automatic differentiation of a dynamical core (Dec 2025) - arXiv:2512.17877
Am I Confused or Is This Confusing?: Deep Ensembles for ENSO Uncertainty Quantification (Dec 2025) - arXiv:2512.17153
An Interpretable Latent Space reveals changing dynamics of European heatwaves (Dec 2025) - arXiv:2512.17097
Quantum Machine Learning for Climate Modelling (Dec 2025) - arXiv:2512.14208
Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model (Dec 2025) - arXiv:2512.12545
NORi: An ML-Augmented Ocean Boundary Layer Parameterization (Dec 2025) - arXiv:2512.04452
Harmonic Extension for Multiscale Analysis and Modeling Near Boundaries, with an Ocean Application (Dec 2025) - arXiv:2512.03051
EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting (Dec 2025) - arXiv:2512.02260
Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models (Nov 2025) - arXiv:2511.23448
Technical Report: Towards Unified Diffusion Models for Multi-Model Climate Emulation at Scale (Nov 2025) - arXiv:2511.22970
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition (Nov 2025) - arXiv:2511.20963
Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments (Nov 2025) - arXiv:2511.20899
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes (Nov 2025) - arXiv:2511.11945
CLINB: A Climate Intelligence Benchmark for Foundational Models (Nov 2025) - arXiv:2511.11597
Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios (Nov 2025) - arXiv:2511.07269
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region (Nov 2025) - arXiv:2511.03770
Assessing Climate Vulnerability Risk for Substations in Massachusetts Via Sensitivity Analysis (Nov 2025) - arXiv:2511.03748
Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways (Nov 2025) - arXiv:2511.03243
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning (Nov 2025) - arXiv:2511.03238
A Probabilistic U-Net Approach to Downscaling Climate Simulations (Nov 2025) - arXiv:2511.03197
Intercomparison of a High-Resolution Regional Climate Model Ensemble for Catchment-Scale Water Cycle Processes under Human Influence (Nov 2025) - arXiv:2511.02799
Towards a Unified Data-Driven Boundary Layer Momentum Flux Parameterization for Ocean and Atmosphere (Nov 2025) - arXiv:2511.01766
A Framework for Hybrid Physics-AI Coupled Ocean Models (Oct 2025) - arXiv:2510.22676
A Physics-Guided AI Cascaded Corrector Model Significantly Extends Madden-Julian Oscillation Prediction Skill (Oct 2025) - arXiv:2510.21796
A Stochastic Parameterization of Non-Orographic Gravity Waves Induced Mixing for Mars Planetary Climate Model (Oct 2025) - arXiv:2510.20410
OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales (Oct 2025) - arXiv:2510.18707
Digestible Pieces: comparing three options for partitioning the Northeast Pacific Coast for S2S sea surface height prediction (Oct 2025) - arXiv:2510.18133
Quantifying Climate Policy Action and Its Links to Development Outcomes: A Cross-National Data-Driven Analysis (Oct 2025) - arXiv:2510.17425
Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal (Oct 2025) - arXiv:2510.16233
Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone (Oct 2025) - arXiv:2510.15474
A Multimodal Approach to Heritage Preservation in the Context of Climate Change (Oct 2025) - arXiv:2510.14136
Specification and Verification for Climate Modeling: Formalization Leading to Impactful Tooling (Oct 2025) - arXiv:2510.13425
Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh (Oct 2025) - arXiv:2510.10702
Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models (Oct 2025) - arXiv:2510.10654
Top-of-atmosphere radiation over the last millennium reconstructed from proxies (Oct 2025) - arXiv:2510.09896
Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration (Oct 2025) - arXiv:2510.09891
Spatial Uncertainty Quantification in Wildfire Forecasting for Climate-Resilient Emergency Planning (Oct 2025) - arXiv:2510.09666
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model (Oct 2025) - arXiv:2510.08107
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM (Oct 2025) - arXiv:2510.07971
Developing a Sequential Deep Learning Pipeline to Model Alaskan Permafrost Thaw Under Climate Change (Oct 2025) - arXiv:2510.06258
Climate Model Tuning with Online Synchronization-Based Parameter Estimation (Oct 2025) - arXiv:2510.06180
Representing Subgrid-Scale Cloud Effects in a Radiation Parameterization using Machine Learning: MLe-radiation v1.0 (Oct 2025) - arXiv:2510.05963
Score-based generative emulation of impact-relevant Earth system model outputs (Oct 2025) - arXiv:2510.04358
Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies (Oct 2025) - arXiv:2510.03305
The land use-climate change-biodiversity nexus in European islands stakeholders (Oct 2025) - arXiv:2510.02829
Generative AI for subgrid turbulence in large-eddy simulations (Oct 2025) - arXiv:2510.00383
The Open-Source Photochem Code: A General Chemical and Climate Model for Interpreting (Exo)Planet Observations (Sep 2025) - arXiv:2509.25578
Generative AI-Downscaling of Large Ensembles Project Unprecedented Future Droughts (Sep 2025) - arXiv:2509.21844
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations (Sep 2025) - arXiv:2509.20422
An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence (Sep 2025) - arXiv:2509.20365
Disrespect Others, Respect the Climate? Applying Social Dynamics with Inequality to Forest Climate Models (Sep 2025) - arXiv:2509.17252
ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching (Sep 2025) - arXiv:2509.15942
An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk (Sep 2025) - arXiv:2509.14162
Do machine learning climate models work in changing climate dynamics? (Sep 2025) - arXiv:2509.12147
DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts (Sep 2025) - arXiv:2509.10494
A Deep Learning Model of Lightning Stroke Density (Sep 2025) - arXiv:2509.10399
Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change (Sep 2025) - arXiv:2509.08024
Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves (Sep 2025) - arXiv:2509.03816
LUCIE-3D: A three-dimensional climate emulator for forced responses (Sep 2025) - arXiv:2509.02061
Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore (Sep 2025) - arXiv:2509.01845
Advanced Torrential Loss Function for Precipitation Forecasting (Sep 2025) - arXiv:2509.01348
Imputing Missing Long-Term Spatiotemporal Multivariate Atmospheric Data with CNN-Transformer Machine Learning (Sep 2025) - arXiv:2509.01141
Towards a Climate OSSE Framework for Satellite Mission Design (Sep 2025) - arXiv:2509.00211
GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes (Aug 2025) - arXiv:2508.15196
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models (Aug 2025) - arXiv:2508.14315
Data-driven global ocean model resolving ocean-atmosphere coupling dynamics (Aug 2025) - arXiv:2508.10908
Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction (Aug 2025) - arXiv:2508.07062
A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery (Jul 2025) - arXiv:2507.19759
A Self-Evolving AI Agent System for Climate Science (Jul 2025) - arXiv:2507.17311
Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems (Jul 2025) - arXiv:2507.17189
Linear stability of an oceanic front at finite Rossby number (Jul 2025) - arXiv:2507.13304
Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling (Jul 2025) - arXiv:2507.09211
Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters (Jul 2025) - arXiv:2507.05440
Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies (Jul 2025) - arXiv:2507.03176
Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models (Jun 2025) - arXiv:2506.22552
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap (Jun 2025) - arXiv:2506.16281
Blended parameterization in an atmospheric model: Improving severestorm ensemble prediction by considering uncertainties in model physics (Jun 2025) - arXiv:2506.15472
AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability (Jun 2025) - arXiv:2506.14022
ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries (Jun 2025) - arXiv:2506.13796
AI reconstruction of European weather from the Euro-Atlantic regimes (Jun 2025) - arXiv:2506.13758
Causal Climate Emulation with Bayesian Filtering (Jun 2025) - arXiv:2506.09891
Accelerated Bayesian calibration and uncertainty quantification of RANS turbulence model parameters for stratified atmospheric boundary layer flows (May 2025) - arXiv:2505.18756
AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa (May 2025) - arXiv:2505.18694
Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning (May 2025) - arXiv:2505.18328
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models (May 2025) - arXiv:2505.15934
Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty (May 2025) - arXiv:2505.13264
Predicting temperatures in Brazilian states capitals via Machine Learning (May 2025) - arXiv:2505.11511
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting (May 2025) - arXiv:2505.09395
Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control (May 2025) - arXiv:2505.07045
A machine learning model for skillful climate system prediction (May 2025) - arXiv:2505.06269
Reduced Cloud Cover Errors in a Hybrid AI-Climate Model Through Equation Discovery And Automatic Tuning (May 2025) - arXiv:2505.04358
Windows of opportunity in subseasonal weather regime forecasting: A statistical-dynamical approach (May 2025) - arXiv:2505.02680
Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model (May 2025) - arXiv:2505.01455
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning (May 2025) - arXiv:2505.01115
A Novel Dynamic Bias-Correction Framework for Hurricane Risk Assessment under Climate Change (May 2025) - arXiv:2505.00832
AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring (May 2025) - arXiv:2505.00786
Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal (Apr 2025) - arXiv:2504.20620
Quantifying the Influence of Climate on Storm Activity Using Machine Learning (Apr 2025) - arXiv:2504.20521
Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework (Apr 2025) - arXiv:2504.20442
Global Climate Model Bias Correction Using Deep Learning (Apr 2025) - arXiv:2504.19145
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence (Apr 2025) - arXiv:2504.15487
Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies (Apr 2025) - arXiv:2504.14473
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making (Apr 2025) - arXiv:2504.10031
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather (Apr 2025) - arXiv:2504.07625
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change (Apr 2025) - arXiv:2504.03727
Generating realistic global precipitation fields from modelled atmospheric circulation (Apr 2025) - arXiv:2504.00307
Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data (Mar 2025) - arXiv:2503.23953
DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts using Diffusion Models (Mar 2025) - arXiv:2503.23893
Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years (Mar 2025) - arXiv:2503.21211
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers (Mar 2025) - arXiv:2503.20466
ClimateGS: Real-Time Climate Simulation with 3D Gaussian Style Transfer (Mar 2025) - arXiv:2503.14845
Climate land use and other drivers impacts on island ecosystem services: a global review (Mar 2025) - arXiv:2503.10278
Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X (Mar 2025) - arXiv:2503.09361
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change (Mar 2025) - arXiv:2503.08163
Transforming Weather Data from Pixel to Latent Space (Mar 2025) - arXiv:2503.06623
Data-Driven Probabilistic Air-Sea Flux Parameterization (Mar 2025) - arXiv:2503.03990
Generative assimilation and prediction for weather and climate (Mar 2025) - arXiv:2503.03038
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones (Feb 2025) - arXiv:2502.20132
Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework (Feb 2025) - arXiv:2502.17583
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints (Feb 2025) - arXiv:2502.13185
Reanalysis-based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator (Feb 2025) - arXiv:2502.10893
Opportunities and challenges of quantum computing for climate modelling (Feb 2025) - arXiv:2502.10488
Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models (Feb 2025) - arXiv:2502.10131
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies (Feb 2025) - arXiv:2502.07741
Learning to generate physical ocean states: Towards hybrid climate modeling (Feb 2025) - arXiv:2502.02499
Physically Interpretable Emulation of a Moist Convecting Atmosphere with a Recurrent Neural Network (Jan 2025) - arXiv:2501.08513
Utilizing long memory and circulation patterns for stochastic forecasts of temperature extremes (Jan 2025) - arXiv:2501.03267
Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework (Jan 2025) - arXiv:2501.02905
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards (Jan 2025) - arXiv:2501.04018
LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes (Jan 2025) - arXiv:2501.00149
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning (Dec 2024) - arXiv:2412.17506
Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers (Dec 2024) - arXiv:2412.16763
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations (Dec 2024) - arXiv:2412.16691
Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate (Dec 2024) - arXiv:2412.16407
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation (Dec 2024) - arXiv:2412.15361
Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation (Dec 2024) - arXiv:2412.12160
Regional climate risk assessment from climate models using probabilistic machine learning (Dec 2024) - arXiv:2412.08079
Online learning in idealized ocean gyres (Dec 2024) - arXiv:2412.06393
ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO$_2$ (Dec 2024) - arXiv:2412.04418
WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks (Dec 2024) - arXiv:2412.02780
Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model (Nov 2024) - arXiv:2411.19077
Density correction for multivariate spatial fields of global climate model output using deep learning (Nov 2024) - arXiv:2411.18799
Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization (Nov 2024) - arXiv:2411.16728
Kolmogorov Modes and Linear Response of Jump-Diffusion Models (Nov 2024) - arXiv:2411.14769
Origin and Limits of Invariant Warming Patterns in Climate Models (Nov 2024) - arXiv:2411.14183
Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence (Nov 2024) - arXiv:2411.14106
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs (Nov 2024) - arXiv:2411.13496
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses (Nov 2024) - arXiv:2411.11268
Building Interpretable Climate Emulators for Economics (Nov 2024) - arXiv:2411.10768
Towards unearthing neglected climate innovations from scientific literature using Large Language Models (Nov 2024) - arXiv:2411.10055
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma (Nov 2024) - arXiv:2411.09856
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes (Nov 2024) - arXiv:2411.07753
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing (Nov 2024) - arXiv:2411.06604
HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data (Nov 2024) - arXiv:2411.06155
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates (Nov 2024) - arXiv:2411.05952
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain (Nov 2024) - arXiv:2411.05850
Anticipatory Understanding of Resilient Agriculture to Climate (Nov 2024) - arXiv:2411.05219
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1 (Oct 2024) - arXiv:2410.21920
A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator (Oct 2024) - arXiv:2410.21657
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models (Oct 2024) - arXiv:2410.19882
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing (Oct 2024) - arXiv:2410.17225
Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate Impacts (Oct 2024) - arXiv:2410.16544
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data (Oct 2024) - arXiv:2410.14963
Machine Learning-Based Estimation of Superdroplet Growth Rates Using DNS Data (Oct 2024) - arXiv:2410.13890
Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations (Oct 2024) - arXiv:2410.07287
QESM: A Leap Towards Quantum-Enhanced ML Emulation Framework for Earth and Climate Modeling (Oct 2024) - arXiv:2410.01551
A simple emulator that enables interpretation of parameter-output relationships, applied to two climate model PPEs (Oct 2024) - arXiv:2410.00931
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen (Sep 2024) - arXiv:2409.18574
Random Forest Regression Feature Importance for Climate Impact Pathway Detection (Sep 2024) - arXiv:2409.16609
New Insights into Global Warming: End-to-End Visual Analysis and Prediction of Temperature Variations (Sep 2024) - arXiv:2409.16311
A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate (Sep 2024) - arXiv:2409.16247
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation (Sep 2024) - arXiv:2409.12815
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models (Sep 2024) - arXiv:2409.11601
Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability? (Sep 2024) - arXiv:2409.10755
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models (Sep 2024) - arXiv:2409.10046
Deep Learning for predicting rate-induced tipping (Sep 2024) - arXiv:2409.07590
A Liang-Kleeman Causality Analysis based on Linear Inverse Modeling (Sep 2024) - arXiv:2409.06797
Applications of machine learning to predict seasonal precipitation for East Africa (Sep 2024) - arXiv:2409.06238
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling (Sep 2024) - arXiv:2409.01626
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions (Sep 2024) - arXiv:2409.01500
AI-driven weather forecasts enable anticipated attribution of extreme events to human-made climate change (Aug 2024) - arXiv:2408.16433
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models (Aug 2024) - arXiv:2408.16118
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution (Aug 2024) - arXiv:2408.15993
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 (Aug 2024) - arXiv:2408.14889
Machine Learning for the Physics of Climate (Aug 2024) - arXiv:2408.09627
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting (Aug 2024) - arXiv:2408.06262
A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data (Aug 2024) - arXiv:2408.02688
Climate-Driven Doubling of U.S. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo (Aug 2024) - arXiv:2408.02217
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications (Aug 2024) - arXiv:2408.02161
Quantum Computing for Climate Resilience and Sustainability Challenges (Jul 2024) - arXiv:2407.16296
Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023 (Jul 2024) - arXiv:2407.12447
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed (Jul 2024) - arXiv:2407.05224

Hydrology (37)

Rainfall Sensing via Mobile Communication Signals (Aug 2026) - arXiv:2608.16088
From Conceptual Hydrologic Models to Conceptually Interpretable Neural Networks: A Snow-Water Mass-Conserving-Perceptron Framework for Discovering Catchment-Scale Precipitation-Storage-Runoff Representations (Jul 2026) - arXiv:2607.26492
Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector (Jul 2026) - arXiv:2607.10208
A harmonised dataset for Earth system foundation models (Jul 2026) - arXiv:2607.03298
Deep Learning for Soil Moisture Estimation: Fusing Satellite Data with Optimally-Lagged Meteorological Features (Jun 2026) - arXiv:2606.21475
Interpretable rainfall modelling reveals rapid reorganisation of Amazonian rainfall under vegetation loss (May 2026) - arXiv:2605.10948
METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality Control (May 2026) - arXiv:2605.08701
Observation-Guided Neural Surrogate Learning for Scientific Simulation Emulation: A Single-Gauge Flood-Inundation Proof of Concept (Apr 2026) - arXiv:2604.25890
Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints (Mar 2026) - arXiv:2603.25093
Climate Adaptation-Aware Flood Prediction for Coastal Cities Using Deep Learning (Oct 2025) - arXiv:2510.26017
Progressive Scale Convolutional Network for Spatio-Temporal Downscaling of Soil Moisture: A Case Study Over the Tibetan Plateau (Oct 2025) - arXiv:2510.10244
QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification (Oct 2025) - arXiv:2510.05453
Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics (Oct 2025) - arXiv:2510.02605
RainSeer: Fine-Grained Rainfall Reconstruction via Physics-Guided Modeling (Oct 2025) - arXiv:2510.02414
Projecting U.S. coastal storm surge risks and impacts with deep learning (Jun 2025) - arXiv:2506.13963
Functional data decomposition reveals unexpectedly strong soil moisture-precipitation coupling over the Great Plains (Jun 2025) - arXiv:2506.13939
Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning (Jun 2025) - arXiv:2506.12919
Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling (Jun 2025) - arXiv:2506.03819
A Multi-Tiered Bayesian Network Coastal Compound Flood Analysis Framework (May 2025) - arXiv:2505.15520
Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors (May 2025) - arXiv:2505.14122
A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States (Apr 2025) - arXiv:2504.20129
Enhancing Deterministic Freezing Level Predictions in the Northern Sierra Nevada Through Deep Neural Networks (Apr 2025) - arXiv:2504.11560
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting (Mar 2025) - arXiv:2503.19943
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models (Feb 2025) - arXiv:2502.16444
Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning (Jan 2025) - arXiv:2501.15690
A Deep State Space Model for Rainfall-Runoff Simulations (Jan 2025) - arXiv:2501.14980
AI-Driven Reinvention of Hydrological Modeling for Accurate Predictions and Interpretation to Transform Earth System Modeling (Jan 2025) - arXiv:2501.04733
Graph Learning-based Regional Heavy Rainfall Prediction Using Low-Cost Rain Gauges (Dec 2024) - arXiv:2412.16842
A Physics-Constrained Neural Differential Equation Framework for Data-Driven Snowpack Simulation (Dec 2024) - arXiv:2412.06819
Using Machine Learning to Discover Parsimonious and Physically-Interpretable Representations of Catchment-Scale Rainfall-Runoff Dynamics (Dec 2024) - arXiv:2412.04845
Learning Surrogate Rainfall-driven Inundation Models with Few Data (Nov 2024) - arXiv:2411.19323
Unravelling compound risks of hydrological extremes in a changing climate: Typology, methods and futures (Sep 2024) - arXiv:2409.19003
High-Resolution Flood Probability Mapping Using Generative Machine Learning with Large-Scale Synthetic Precipitation and Inundation Data (Sep 2024) - arXiv:2409.13936
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Prediction using Weather Image Time Series (Sep 2024) - arXiv:2409.13284
CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction (Sep 2024) - arXiv:2409.05369
Evapotranspiration trends over the last 300 years reconstructed from historical weather station observations via machine learning (Jul 2024) - arXiv:2407.16265
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments (Jul 2024) - arXiv:2407.15882

Ocean & Sea Ice (85)

On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting (Sep 2026) - arXiv:2609.30688
HClimRep-Ocean: A Global Ocean Emulator on an Unstructured Mesh (Sep 2026) - arXiv:2609.28601
How well is surface ocean carbon represented in observations and ocean models? (Sep 2026) - arXiv:2609.00133
Decadal wave reconstruction in the Mediterranean Sea with graph neural networks (Aug 2026) - arXiv:2608.16449
DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice (Aug 2026) - arXiv:2608.11545
Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation (Aug 2026) - arXiv:2608.10277
FESOM2-JAX v1.0: a differentiable shadow of the ocean-sea-ice model FESOM2, cast onto GPUs (Aug 2026) - arXiv:2608.01546
Memory compression and physical state augmentation favor different AMOC prediction tasks (Jul 2026) - arXiv:2607.28468
Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification (Jun 2026) - arXiv:2606.31957
Disentangling the effects of sea surface temperature and CO$_2$ in global machine learned weather-climate emulators (Jun 2026) - arXiv:2606.07928
Samudra 2: Scaling Ocean Emulators across Resolutions (Jun 2026) - arXiv:2606.02610
Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting (May 2026) - arXiv:2605.15470
Prediction and Predictability of the Wet-Season Rainfall over Southeast India (May 2026) - arXiv:2605.01326
An Adaptive Spatiotemporal Clustering Framework for 3D Ocean Subsurface Temperature Reconstruction (May 2026) - arXiv:2605.00860
Optimal sensor placement for the reconstruction of ocean states using differentiable Gumbel-Softmax sampling operator (Apr 2026) - arXiv:2604.22511
Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings (Apr 2026) - arXiv:2604.07861
What's in the latent space? Exploring coupled tropical Pacific variability within a Multi-branch $β$-Variational Autoencoder (Apr 2026) - arXiv:2604.07137
Calibration of a neural network ocean closure for improved mean state and variability (Apr 2026) - arXiv:2604.06398
Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations (Apr 2026) - arXiv:2604.03292
High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observations (Apr 2026) - arXiv:2604.02850
CNN-based forecasting of early winter NAO using sea surface temperature (Mar 2026) - arXiv:2603.16312
Probabilistic reconstruction of global sea surface temperature using generative diffusion models (Mar 2026) - arXiv:2603.16272
FloeNet: A mass-conserving global sea ice emulator that generalizes across climates (Mar 2026) - arXiv:2603.12449
Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models (Feb 2026) - arXiv:2602.05416
Large-Ensemble Simulations Reveal Links Between Atmospheric Blocking Frequency and Sea Surface Temperature Variability (Feb 2026) - arXiv:2602.05083
Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning (Jan 2026) - arXiv:2601.23190
Rapid estimation of global sea surface temperatures from sparse streaming in situ observations (Jan 2026) - arXiv:2601.21913
Estimation of temperature and precipitation uncertainties using quantile neural networks (Jan 2026) - arXiv:2601.17243
Extending SST Anomaly Forecasts Through Simultaneous Decomposition of Seasonal and PDO Modes (Jan 2026) - arXiv:2601.01864
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data (Dec 2025) - arXiv:2512.22152
Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows (Dec 2025) - arXiv:2512.09572
CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows (Nov 2025) - arXiv:2511.20109
The Role of Deep Mesoscale Eddies in Ensemble Forecast Performance (Nov 2025) - arXiv:2511.09747
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction (Nov 2025) - arXiv:2511.05629
OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights (Nov 2025) - arXiv:2511.01019
Sensitivity Analysis for Climate Science with Generative Flow Models (Nov 2025) - arXiv:2511.00663
Leveraging an Atmospheric Foundational Model for Subregional Sea Surface Temperature Forecasting (Oct 2025) - arXiv:2510.25563
Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure (Oct 2025) - arXiv:2510.09792
Down-scale marine hydrodynamic analysis at the Norwegian coast -- the NORA-SARAH open framework (Sep 2025) - arXiv:2509.21329
Data-Driven Reconstruction of Significant Wave Heights from Sparse Observations (Sep 2025) - arXiv:2509.19384
Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming (Sep 2025) - arXiv:2509.18741
A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution (Sep 2025) - arXiv:2509.17015
Artificial neural networks ensemble methodology to predict significant wave height (Sep 2025) - arXiv:2509.14020
SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators (Sep 2025) - arXiv:2509.12490
Detecting extreme event-driven causality (Sep 2025) - arXiv:2509.05043
MedFormer: a data-driven model for forecasting the Mediterranean Sea (Sep 2025) - arXiv:2509.00015
DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation (Sep 2025) - arXiv:2509.00007
Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling (Aug 2025) - arXiv:2508.16489
Generative AI models capture realistic sea-ice evolution from days to decades (Aug 2025) - arXiv:2508.14984
Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales (Aug 2025) - arXiv:2508.08490
Sparsity-Promoting Dynamic Mode Decomposition Applied to Sea Surface Temperature Fields (Jul 2025) - arXiv:2507.05711
IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting (Jul 2025) - arXiv:2507.00036
Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial (Jun 2025) - arXiv:2506.09254
Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System (May 2025) - arXiv:2505.24429
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation (May 2025) - arXiv:2505.21020
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting (May 2025) - arXiv:2505.10191
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models (May 2025) - arXiv:2505.08900
Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network (May 2025) - arXiv:2505.06255
Exploring the Potential of Latent Embeddings for Sea Ice Characterization using ICESat-2 Data (Apr 2025) - arXiv:2504.18668
Improving Significant Wave Height Prediction Using Chronos Models (Apr 2025) - arXiv:2504.16834
Low latency global carbon budget reveals a continuous decline of the land carbon sink during the 2023/24 El Nino event (Apr 2025) - arXiv:2504.09189
CAMulator: Fast Emulation of the Community Atmosphere Model (Apr 2025) - arXiv:2504.06007
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics (Mar 2025) - arXiv:2503.21303
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models (Feb 2025) - arXiv:2502.13495
Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales (Feb 2025) - arXiv:2502.11293
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies (Jan 2025) - arXiv:2501.05731
LangYa: Revolutionizing Cross-Spatiotemporal Ocean Forecasting (Dec 2024) - arXiv:2412.18097
TSformer: A Non-autoregressive Spatial-temporal Transformers for 30-day Ocean Eddy-Resolving Forecasting (Dec 2024) - arXiv:2412.17392
Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach (Dec 2024) - arXiv:2412.15532
Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network (Dec 2024) - arXiv:2412.10656
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble (Dec 2024) - arXiv:2412.05475
GLONET: Mercator's end-to-end neural Global Ocean forecasting system (Dec 2024) - arXiv:2412.05454
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach (Dec 2024) - arXiv:2412.04475
Samudra: An AI Global Ocean Emulator for Climate (Dec 2024) - arXiv:2412.03795
Assessing the potential of state-of-the-art machine learning and physics-informed machine learning in predicting sea surface temperature (Nov 2024) - arXiv:2411.19031
A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region (Nov 2024) - arXiv:2411.15202
Accelerate Coastal Ocean Circulation Model with AI Surrogate (Oct 2024) - arXiv:2410.14952
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting (Oct 2024) - arXiv:2410.14732
Regional Ocean Forecasting with Hierarchical Graph Neural Networks (Oct 2024) - arXiv:2410.11807
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior (Oct 2024) - arXiv:2410.09111
Multi-scale decomposition of sea surface height snapshots using machine learning (Sep 2024) - arXiv:2409.17354
Modeling Snow on Sea Ice using Physics Guided Machine Learning (Sep 2024) - arXiv:2409.08092
Sea ice floe segmentation in close-range optical imagery using active contour and foundation models (Sep 2024) - arXiv:2409.06641
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models (Jul 2024) - arXiv:2407.20053
Dynamic-Mode Decomposition of Geostrophically Balanced Motions from SWOT Altimetry (Jul 2024) - arXiv:2407.09309

Air Quality & Composition (71)

From Regional to Global: Transfer Learning for Atmospheric Transport Emulators (Sep 2026) - arXiv:2609.23838
Quantifying AI data center nitrogen oxide (NO$_x$) emissions from space (Aug 2026) - arXiv:2608.22153
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections (Aug 2026) - arXiv:2608.18690
Observational Evidence Revises Presumed Large Ozone Worsening from Nitrogen Oxides Cuts (Aug 2026) - arXiv:2608.10399
Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry (Jul 2026) - arXiv:2607.20778
OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes (Jul 2026) - arXiv:2607.11896
AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics (Jul 2026) - arXiv:2607.11073
Air Quality Downscaling with Station-Guided Pseudo-Supervision (Jul 2026) - arXiv:2607.05292
Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry (Jun 2026) - arXiv:2606.31291
Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows (Jun 2026) - arXiv:2606.17413
Deep learning reveals a stronger fossil fuel influence than biomass burning in shaping remote tropospheric ozone (Jun 2026) - arXiv:2606.09793
TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research (Jun 2026) - arXiv:2606.07697
Emergent conservation in atmospheric chemical mechanisms (May 2026) - arXiv:2605.27271
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening (May 2026) - arXiv:2605.27236
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing (May 2026) - arXiv:2605.24273
Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information (May 2026) - arXiv:2605.24009
Learning from Translation: Seasonal Errors and Feature Importance of the ERA5 Turbulence Predictions (May 2026) - arXiv:2605.07981
Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators (May 2026) - arXiv:2605.04164
Aerosol memory in stratocumulus clouds leads to noise-induced patterns and non-ergodic sampling (May 2026) - arXiv:2605.04002
Style-Based Neural Architectures for Real-Time Weather Classification (Apr 2026) - arXiv:2604.18251
GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support (Apr 2026) - arXiv:2604.12306
Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT (Apr 2026) - arXiv:2604.10094
PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion (Apr 2026) - arXiv:2604.03311
Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings (Mar 2026) - arXiv:2603.29974
Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments (Mar 2026) - arXiv:2603.25635
Diffusion-based Probabilistic Air Quality Forecasting with Mechanistic Insight (Mar 2026) - arXiv:2603.21131
Reconstructing Carbon Monoxide Reanalysis with Machine Learning (Feb 2026) - arXiv:2602.15056
Blackening Cryosphere: Revealing Hotspot Shifts and HGB-Based Forecasting of Absorbing Aerosol Threats over the Himalayan Frozen Frontiers (Feb 2026) - arXiv:2602.15052
AODDiff: Probabilistic Reconstruction of Aerosol Optical Depth via Diffusion-based Bayesian Inference (Dec 2025) - arXiv:2512.24847
Calibrating Geophysical Predictions under Constrained Probabilistic Distributions (Dec 2025) - arXiv:2512.03081
Spatiotemporal Pyramid Flow Matching for Climate Emulation (Dec 2025) - arXiv:2512.02268
Reconstructing the Aerosol State from Partial Observations with Generative Modeling (Nov 2025) - arXiv:2511.14059
AI-Driven Carbon Monitoring: Transformer-Based Reconstruction of Atmospheric CO2 in Canadian Poultry Regions (Oct 2025) - arXiv:2510.23663
Navigating Through Turbulence: Blueprint for the Next Generation of Weather-Climate Scientists (Oct 2025) - arXiv:2510.21123
Discovering How Ice Crystals Grow Using Neural ODE's and Symbolic Regression (Oct 2025) - arXiv:2510.17935
Generative Modeling of Aerosol State Representations (Oct 2025) - arXiv:2510.10361
Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model (Oct 2025) - arXiv:2510.06140
Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport (Oct 2025) - arXiv:2510.05751
Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters (Sep 2025) - arXiv:2509.11728
A Feed-Forward Artificial Intelligence Pipeline for Sustainable Desalination under Climate Uncertainties: UAE Insights (Jul 2025) - arXiv:2507.10609
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction (Jun 2025) - arXiv:2506.18018
Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation (Jun 2025) - arXiv:2506.07321
Effective climate policies for major emission reductions of ozone precursors: Global evidence from two decades (May 2025) - arXiv:2505.14731
An AI-driven framework for the prediction of personalised health response to air pollution (May 2025) - arXiv:2505.10556
BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids (Apr 2025) - arXiv:2504.19764
Prototype-enhanced prediction in graph neural networks for climate applications (Apr 2025) - arXiv:2504.17492
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi (Mar 2025) - arXiv:2503.18912
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling (Mar 2025) - arXiv:2503.18405
Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning (Mar 2025) - arXiv:2503.12367
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point (Mar 2025) - arXiv:2503.06777
Deep Spatio-Temporal Neural Network for Air Quality Reanalysis (Feb 2025) - arXiv:2502.11941
Discontinuous stochastic forcing in Greenland ice core data (Feb 2025) - arXiv:2502.08460
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network (Feb 2025) - arXiv:2502.01654
Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring (Jan 2025) - arXiv:2501.18761
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting (Dec 2024) - arXiv:2412.08851
Advancing global aerosol forecasting with artificial intelligence (Dec 2024) - arXiv:2412.02498
Developing Global Aerosol Models based on the Analysis of 30-Year Ground Measurements by AERONET (AEROEX models) and Implication on Satellite based Aerosol Retrievals (Nov 2024) - arXiv:2411.15518
Neural and Time-Series Approaches for Pricing Weather Derivatives: Performance and Regime Adaptation Using Satellite Data (Nov 2024) - arXiv:2411.12013
Climate AI for Corporate Decarbonization Metrics Extraction (Nov 2024) - arXiv:2411.03402
AI, Climate, and Regulation: From Data Centers to the AI Act (Oct 2024) - arXiv:2410.06681
Automated Spatio-Temporal Weather Modeling for Load Forecasting (Sep 2024) - arXiv:2409.16326
Learning to Simulate Aerosol Dynamics with Graph Neural Networks (Sep 2024) - arXiv:2409.13861
Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms (Sep 2024) - arXiv:2409.10696
AI, Climate, and Transparency: Operationalizing and Improving the AI Act (Sep 2024) - arXiv:2409.07471
Are Hourly PM2.5 Forecasts Sufficiently Accurate to Plan Your Day? Individual Decision Making in the Face of Increasing Wildfire Smoke (Sep 2024) - arXiv:2409.05866
A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction (Aug 2024) - arXiv:2408.16109
Machine Learning for Methane Detection and Quantification from Space - A survey (Aug 2024) - arXiv:2408.15122
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features (Aug 2024) - arXiv:2408.12476
Neural Network Emulator for Atmospheric Chemical ODE (Aug 2024) - arXiv:2408.01829
Reconstructing Global Daily CO2 Emissions via Machine Learning (Jul 2024) - arXiv:2407.20057
Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation (Jul 2024) - arXiv:2407.12539

Remote Sensing (99)

Low latency global carbon budget reveals strong land sink recovery in 2025 (Sep 2026) - arXiv:2609.34226
Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework (Sep 2026) - arXiv:2609.12254
Distilling deep optical flow stereo methods to retrieve dense three-dimensional wind fields (Sep 2026) - arXiv:2609.03100
A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data (Sep 2026) - arXiv:2609.01514
Application of the latent twins approach for clear sky retrieval from IASI observations (Aug 2026) - arXiv:2608.27692
Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning (Aug 2026) - arXiv:2608.25700
Deep Learning Super Resolution for Satellite Cloud Mask Downscaling (Aug 2026) - arXiv:2608.24715
The impact of feature engineering and an optimisation framework for ocean colour machine learning (Aug 2026) - arXiv:2608.19899
Rapid Debris-Volume Estimation from Post-Hurricane Aerial Imagery (Aug 2026) - arXiv:2608.17165
FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting (Aug 2026) - arXiv:2608.11254
Tropical Cyclone Forecasting via Latent Rectified Flow using Satellite Imagery and Atmospheric Fields (Aug 2026) - arXiv:2608.08354
Meteosat Third Generation imagery improves CNN-based SSI retrieval (Jul 2026) - arXiv:2607.28093
C3DIR: A Deep Learning 3-Dimensional Cloud Property Retrieval Scheme for Passive Satellite Imagers (Jul 2026) - arXiv:2607.16929
Physics-Informed Feature Engineering 1D-CNN for Multilayer Cloud Detection from Geostationary Satellites (Jul 2026) - arXiv:2607.16270
OCELOT: Direct Atmospheric Forecasting from Heterogeneous Earth Observations Using a Graph-Transformer Hybrid Model (Jul 2026) - arXiv:2607.14196
GlacierCastAI: Predicting Glacier Retreat from Multi-Modal Satellite Imagery and Climate Signals (Jul 2026) - arXiv:2607.04117
MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones (Jun 2026) - arXiv:2606.24263
SIMBA: ABidirectional Retrieval Forward Simulation Framework for Modeling FY-4A GIIRS Hyperspectral Infrared Radiances Toward NWP Applications (Jun 2026) - arXiv:2606.19943
Urban Heat MiniCubes: An AI-Ready dataset for urban heat research (Jun 2026) - arXiv:2606.11534
Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction (Jun 2026) - arXiv:2606.08563
Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging (Jun 2026) - arXiv:2606.08324
Towards a Foundation Model for the Martian Atmosphere (May 2026) - arXiv:2605.28851
Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East) (May 2026) - arXiv:2605.23991
Impact of Atmospheric Turbulence and Pointing Error on Earth Observation (May 2026) - arXiv:2605.22268
A plug-and-play generative framework for multi-satellite precipitation estimation (May 2026) - arXiv:2605.14426
Cloud-top infrared observations reveal the four-dimensional precipitation structure (May 2026) - arXiv:2605.07499
GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products (May 2026) - arXiv:2605.07167
Climate-based Pre-screening of Self-sustaining Regreening Opportunities in Drylands: A Case Study for Saudi Arabia (May 2026) - arXiv:2605.04206
Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration (May 2026) - arXiv:2605.00972
Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting (May 2026) - arXiv:2605.00850
Attention-based Multi-modal Deep Learning Model of Spatio-temporal Crop Yield Prediction with Satellite, Soil and Climate Data (Apr 2026) - arXiv:2604.19217
ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis (Apr 2026) - arXiv:2604.16922
CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting (Apr 2026) - arXiv:2604.12180
Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting (Mar 2026) - arXiv:2603.14845
Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data (Mar 2026) - arXiv:2603.06782
Fusion and Grouping Strategies in Deep Learning for Local Climate Zone Classification of Multimodal Remote Sensing Data (Mar 2026) - arXiv:2603.04562
Retrodictive Forecasting: A Proof-of-Concept for Exploiting Temporal Asymmetry in Time Series Prediction (Mar 2026) - arXiv:2603.00636
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates (Feb 2026) - arXiv:2602.17683
A Dual-TransUNet Deep Learning Framework for Multi-Source Precipitation Merging and Improving Seasonal and Extreme Estimates (Feb 2026) - arXiv:2602.04757
Radar-Based Raindrop Size Distribution Prediction: Comparing Analytical, Neural Network, and Decision Tree Approaches (Feb 2026) - arXiv:2602.01236
Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks (Feb 2026) - arXiv:2602.00331
Learning Accurate Storm-Scale Evolution from Observations (Jan 2026) - arXiv:2601.17268
Long-Term Probabilistic Forecast of Vegetation Conditions Using Climate Attributes in the Four Corners Region (Jan 2026) - arXiv:2601.16347
THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications (Jan 2026) - arXiv:2601.16011
FAConvLSTM: Factorized-Attention ConvLSTM for Efficient Feature Extraction in Multivariate Climate Data (Jan 2026) - arXiv:2601.10914
Latent Twins: A Framework for Scene Recognition and Fast Radiative Transfer Inversion in FORUM All-Sky Observations (Dec 2025) - arXiv:2512.24865
Huayu: Advanced Real-Time Precipitation Estimation from Geostationary Satellite (Dec 2025) - arXiv:2512.15222
High-Resolution Retrieval of Atmospheric Boundary Layers with Nonstationary Gaussian Processes (Dec 2025) - arXiv:2512.04217
TabGRU: An Enhanced Design for Urban Rainfall Intensity Estimation Using Commercial Microwave Links (Dec 2025) - arXiv:2512.02465
Oya: Deep Learning for Accurate Global Precipitation Estimation (Nov 2025) - arXiv:2511.10562
Global 3D Reconstruction of Clouds & Tropical Cyclones (Nov 2025) - arXiv:2511.04773
Accelerating Radiative Transfer for Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model (Oct 2025) - arXiv:2510.27050
Hurdle-IMDL: An Imbalanced Learning Framework for Infrared Rainfall Retrieval (Oct 2025) - arXiv:2510.20486
Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery (Oct 2025) - arXiv:2510.09736
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data (Oct 2025) - arXiv:2510.07350
Multi-faceted light pollution modelling and its application to the decline of artificial illuminance in France (Oct 2025) - arXiv:2510.02977
AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need (Sep 2025) - arXiv:2509.21553
SGMAGNet: A Baseline Model for 3D Cloud Phase Structure Reconstruction on a New Passive Active Satellite Benchmark (Sep 2025) - arXiv:2509.15706
A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain (Sep 2025) - arXiv:2509.08816
A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval (Sep 2025) - arXiv:2509.04991
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers (Sep 2025) - arXiv:2509.00631
CuMoLoS-MAE: A Masked Autoencoder for Remote Sensing Data Reconstruction (Aug 2025) - arXiv:2508.14957
Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints (Aug 2025) - arXiv:2508.10120
Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning (Aug 2025) - arXiv:2508.07659
Learning Representations of Satellite Images with Evaluations on Synoptic Weather Events (Aug 2025) - arXiv:2508.06122
SolarSeer: Ultrafast and accurate 24-hour solar irradiance forecasts outperforming numerical weather prediction across the USA (Aug 2025) - arXiv:2508.03590
Fusion of multi-source precipitation records via coordinate-based generative model (Jun 2025) - arXiv:2506.11698
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops (Jun 2025) - arXiv:2506.10228
Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context (Jun 2025) - arXiv:2506.10174
Automatic detection of overshooting tops and their properties from visible satellite channels (Jun 2025) - arXiv:2506.00246
GAIA: A Foundation Model for Operational Atmospheric Dynamics (May 2025) - arXiv:2505.18179
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions (May 2025) - arXiv:2505.15633
AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data (May 2025) - arXiv:2505.03808
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning (Apr 2025) - arXiv:2504.16192
Physics-Guided Multimodal Transformers are the Necessary Foundation for the Next Generation of Meteorological Science (Apr 2025) - arXiv:2504.14174
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature (Apr 2025) - arXiv:2504.07481
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data (Mar 2025) - arXiv:2503.22276
Forecasting Volcanic Radiative Power (VPR) at Fuego Volcano Using Bayesian Regularized Neural Network (Mar 2025) - arXiv:2503.21803
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features (Jan 2025) - arXiv:2501.11270
Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps (Jan 2025) - arXiv:2501.04381
LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval (Jan 2025) - arXiv:2501.02613
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers (Nov 2024) - arXiv:2411.16989
Machine Learning for the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks (Nov 2024) - arXiv:2411.16421
DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting (Nov 2024) - arXiv:2411.10144
Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale (Nov 2024) - arXiv:2411.08843
Machine Learning-based Denoising of Surface Solar Irradiance simulated with Monte Carlo Ray Tracing (Nov 2024) - arXiv:2411.06574
Rainfall regression from C-band Synthetic Aperture Radar using Multi-Task Generative Adversarial Networks (Nov 2024) - arXiv:2411.03480
A physics-aware data-driven surrogate approach for fast atmospheric radiative transfer inversion (Oct 2024) - arXiv:2410.22609
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data (Oct 2024) - arXiv:2410.12938
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI (Oct 2024) - arXiv:2410.04135
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery (Sep 2024) - arXiv:2409.16507
Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models (Sep 2024) - arXiv:2409.16320
Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes well to other climate zones (Sep 2024) - arXiv:2409.16316
Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models (Sep 2024) - arXiv:2409.07961
An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery (Sep 2024) - arXiv:2409.05494
A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning (Sep 2024) - arXiv:2409.00020
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN (Aug 2024) - arXiv:2408.06761
Enhancing 3D Planetary Atmosphere Simulations with a Surrogate Radiative Transfer Model (Jul 2024) - arXiv:2407.08556
A Physics-Informed Machine Learning Approach utilizing Multiband Satellite Data for Solar Irradiance Estimation (Jul 2024) - arXiv:2407.04283

Other (202)

AI Emulation of Stochastic Sudden Stratospheric Warming with Interpretable Latent Structure (Oct 2026) - arXiv:2610.02069
Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching (Oct 2026) - arXiv:2610.01890
Explaining El Niño Forecasts with the Average Gradient Outer Product (Oct 2026) - arXiv:2610.01095
A library for differentiable signal processing and machine learning on the sphere (Sep 2026) - arXiv:2609.39737
Methodological Changes to the Attention ResUNet Hourly Precipitation Postprocessor (Sep 2026) - arXiv:2609.38609
Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods (Sep 2026) - arXiv:2609.34692
StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences (Sep 2026) - arXiv:2609.33761
Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events (Sep 2026) - arXiv:2609.30746
PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning (Sep 2026) - arXiv:2609.28022
Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins (Sep 2026) - arXiv:2609.27290
Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data (Sep 2026) - arXiv:2609.24754
Predictability-Guided Multiscale Probabilistic Forecasting of Wind Direction under Extreme Shear (Sep 2026) - arXiv:2609.16707
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling (Sep 2026) - arXiv:2609.12815
Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining (Sep 2026) - arXiv:2609.07798
When Does Forecast-Error Energy Grow Logistically in Geophysical Turbulence? (Aug 2026) - arXiv:2608.26492
Frequency-aware forecasting for short-term typhoon gust prediction (Aug 2026) - arXiv:2608.25604
Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials (Aug 2026) - arXiv:2608.25448
Predictability of El Niño from Delayed Observations (Aug 2026) - arXiv:2608.24428
Tracing the Unlabeled Storm: Cross-Variable Transfer in a Lagrangian Atmospheric JEPA Framework (Aug 2026) - arXiv:2608.22358
A Graph Neural Network Framework for Characterizing Rainfall Variability Regimes across India (Aug 2026) - arXiv:2608.20947
An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction (Aug 2026) - arXiv:2608.20320
Machine learning correction of satellite precipitation is governed by mechanism purity, not algorithmic complexity: a proof-of-concept study in Hunan, China, with pre-registered cross-regional validation (Aug 2026) - arXiv:2608.12988
Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data (Aug 2026) - arXiv:2608.09683
Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System (Aug 2026) - arXiv:2608.07406
Climate-Dyna Deep Hedging for XVAs: Model-Based Reinforcement Learning, Residual Climate HVA, and Hedge-Instrument Discovery (Aug 2026) - arXiv:2608.01208
A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar (Aug 2026) - arXiv:2608.00653
From Heat Stress to Perception: Interpretable Data-Driven Models of Human Thermal Sensation (Jul 2026) - arXiv:2607.25850
A Physics-Informed Neural Operator for Thermal Ranking of Low-Cost Wall Materials in Hot-Dry Climates (Jul 2026) - arXiv:2607.25668
Predictive Modeling of High-Altitude Clear Air Turbulence in the United States: A Machine Learning Approach (Jul 2026) - arXiv:2607.11899
Improved Global Ocean Heat Content Estimation by Modeling Vertical Spatio-Temporal Dependence (Jul 2026) - arXiv:2607.11832
Tracing the space-time causal origins of Earth system extremes (Jul 2026) - arXiv:2607.10033
Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction (Jul 2026) - arXiv:2607.01621
Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence (Jul 2026) - arXiv:2607.01528
Conditional Tropical Cyclogenesis Rates via Rare-Event Sampling in a Neural Weather Emulator (Jun 2026) - arXiv:2606.30920
An Integrated Two-Stage Deep-Learning Tool for Rapid Post-Hurricane Damage Identification and Repair Scheduling (Jun 2026) - arXiv:2606.29117
Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution (Jun 2026) - arXiv:2606.26361
Short-Term Electricity Demand Forecasting for New England: A Comprehensive Machine Learning Benchmark with Weather, Calendar, and COVID-19 Indicators (Jun 2026) - arXiv:2606.20918
KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting (Jun 2026) - arXiv:2606.17070
Can Machine Learning Forecast Rice Yields in Data-Constrained Settings? Satellite Climate Data, National Crop Statistics, and Lessons from Sierra Leone (Jun 2026) - arXiv:2606.13959
AI Receptivity or AI Adoption Breadth? A Tool-Specific Reanalysis of the Lower-Literacy/Higher-Usage Link (Jun 2026) - arXiv:2606.13734
Stochastic weather generators for high-frequency wind vector time series (Jun 2026) - arXiv:2606.09941
Learning effective Sargassum transport dynamics from limited drifter observations (May 2026) - arXiv:2605.30603
LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support (May 2026) - arXiv:2605.25141
JAX-SCM v1.0: a modern atmospheric single-column model for boundary layer research (May 2026) - arXiv:2605.24544
Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics (May 2026) - arXiv:2605.20580
Training-Free Bayesian Filtering with Generative Emulators (May 2026) - arXiv:2605.20028
Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping (May 2026) - arXiv:2605.00315
Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina (May 2026) - arXiv:2605.00167
K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology (Apr 2026) - arXiv:2604.24645
Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather (Apr 2026) - arXiv:2604.23500
Eco-Bee: A Personalised Multi-Modal Agent for Advancing Student Climate Awareness and Sustainable Behaviour in Campus Ecosystems (Apr 2026) - arXiv:2604.15327
Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection (Apr 2026) - arXiv:2604.13947
Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia (Apr 2026) - arXiv:2604.12304
Data-driven Urban Surface Classification Elucidates Global City Heterogeneity (Apr 2026) - arXiv:2604.12193
A solver-in-the-loop framework for end-to-end differentiable coastal hydrodynamics (Apr 2026) - arXiv:2604.07129
PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction (Apr 2026) - arXiv:2604.00074
Spectral-Aware Text-to-Time Series Generation with Billion-Scale Multimodal Meteorological Data (Mar 2026) - arXiv:2603.27135
Contrastive Learning Boosts Deterministic and Generative Models for Weather Data (Mar 2026) - arXiv:2603.24744
Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional Conditioning (Mar 2026) - arXiv:2603.21856
Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation (Mar 2026) - arXiv:2603.15491
High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction (Mar 2026) - arXiv:2603.11121
Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning (Mar 2026) - arXiv:2603.10305
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes (Mar 2026) - arXiv:2603.09974
Idealized Impacts of Mountainous Terrain on the Energetics of Hurricane Melissa (2025) (Mar 2026) - arXiv:2603.03611
Data-driven, non-Markovian modelling of weather in the presence of non-stationary, non-Gaussian, and heteroskedastic climate dynamics (Mar 2026) - arXiv:2603.00259
Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026 (Feb 2026) - arXiv:2602.19564
Distillation and Interpretability of Ensemble Forecasts of ENSO Phase using Entropic Learning (Feb 2026) - arXiv:2602.16857
Winter forecasting of September/October rainfall (Feb 2026) - arXiv:2602.12497
KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite (Feb 2026) - arXiv:2602.12117
Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction (Feb 2026) - arXiv:2602.06129
MSWEP V3: Machine Learning-Powered Global Precipitation Estimates at 0.1$^\circ$ Hourly Resolution (1979-Present) (Feb 2026) - arXiv:2602.01436
WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction (Jan 2026) - arXiv:2601.22586
AI Decodes Historical Chinese Archives to Reveal Lost Climate History (Jan 2026) - arXiv:2601.22458
Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation (Jan 2026) - arXiv:2601.22298
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters (Jan 2026) - arXiv:2601.19674
Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models (Jan 2026) - arXiv:2601.18129
Weather Estimation for Integrated Sensing and Communication (Jan 2026) - arXiv:2601.15145
Weather-R1: Logically Consistent Reinforcement Fine-Tuning for Multimodal Reasoning in Meteorology (Jan 2026) - arXiv:2601.14044
SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics (Jan 2026) - arXiv:2601.12131
Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data (Jan 2026) - arXiv:2601.08116
Weather-Aware Transformer for Real-Time Route Optimization in Drone-as-a-Service Operations (Jan 2026) - arXiv:2601.03376
Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles (Jan 2026) - arXiv:2601.00915
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors (Dec 2025) - arXiv:2512.22699
Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation (Dec 2025) - arXiv:2512.21643
Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning (Dec 2025) - arXiv:2512.17711
A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition (Dec 2025) - arXiv:2512.15650
Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method (Dec 2025) - arXiv:2512.13899
ByteStorm: a multi-step data-driven approach for Tropical Cyclones detection and tracking (Dec 2025) - arXiv:2512.07885
Extending Integrated Assessment Model scenarios until 2150 using an emulation Framework (Dec 2025) - arXiv:2512.06026
Conditional updates of neural network weights for increased out of training performance (Dec 2025) - arXiv:2512.03653
The promising potential of vision language models for the generation of textual weather forecasts (Dec 2025) - arXiv:2512.03623
EWE: An Agentic Framework for Extreme Weather Analysis (Nov 2025) - arXiv:2511.21444
Causal Feature Selection for Weather-Driven Residential Load Forecasting (Nov 2025) - arXiv:2511.20508
Weather Maps as Tokens: Transformers for Renewable Energy Forecasting (Nov 2025) - arXiv:2511.13935
A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence (Nov 2025) - arXiv:2511.13745
MMWSTM-ADRAN+: A Novel Hybrid Deep Learning Architecture for Enhanced Climate Time Series Forecasting and Extreme Event Prediction (Nov 2025) - arXiv:2511.13419
SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer (Nov 2025) - arXiv:2511.08291
Topography, climate, land cover, and biodiversity: Explaining endemic richness and management implications on a Mediterranean island (Nov 2025) - arXiv:2511.03242
Tipping Points and Cascading Transitions: Methods, Principles, and Evidences (Nov 2025) - arXiv:2511.01168
An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals (Nov 2025) - arXiv:2511.00211
Physiologically Active Vegetation Reverses Its Cooling Effect in Humid Urban Climates (Nov 2025) - arXiv:2511.00134
A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds (Oct 2025) - arXiv:2510.27101
Predictability of Storms in an Idealized Climate Revealed by Machine Learning (Oct 2025) - arXiv:2510.25633
Automated Supervised Identification of Thunderstorm Ground Enhancements (TGEs) (Oct 2025) - arXiv:2510.25125
Hazard-Responsive Digital Twin for Climate-Driven Urban Resilience and Equity (Oct 2025) - arXiv:2510.22941
Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting (Oct 2025) - arXiv:2510.21819
A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting (Oct 2025) - arXiv:2510.19611
Optical turbulence forecast for ground-based astronomy and free-space optical communication (Oct 2025) - arXiv:2510.16845
From Binary to Bilingual: How the National Weather Service is Using Artificial Intelligence to Develop a Comprehensive Translation Program (Oct 2025) - arXiv:2510.14369
Road Surface Condition Detection with Machine Learning using New York State Department of Transportation Camera Images and Weather Forecast Data (Oct 2025) - arXiv:2510.06440
Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires (Sep 2025) - arXiv:2509.21327
BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management (Sep 2025) - arXiv:2509.19846
Discovering strategies for coastal resilience with AI-based prediction and optimization (Sep 2025) - arXiv:2509.19263
Satellite-derived Land Surface Temperatures Strongly Mischaracterise Urban Heat Hazard (Sep 2025) - arXiv:2509.16568
Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting (Sep 2025) - arXiv:2509.12708
Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting (Sep 2025) - arXiv:2509.11903
A Hybrid Analytical Framework for Asymmetric Pressure and Boundary Layer Wind Simulation in Nor'easters (Sep 2025) - arXiv:2509.09556
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer (Sep 2025) - arXiv:2509.09458
Understanding Ice Crystal Habit Diversity with Self-Supervised Learning (Sep 2025) - arXiv:2509.07688
Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education (Aug 2025) - arXiv:2508.21666
Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities (Aug 2025) - arXiv:2508.17648
RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator (Aug 2025) - arXiv:2508.11409
Estimating carbon pools in the European Shelf sea environment: replacing reanalysis by model-informed machine learning? (Aug 2025) - arXiv:2508.10178
Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions (Aug 2025) - arXiv:2508.08326
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images (Aug 2025) - arXiv:2508.07847
A historical record of four black rainstorm episodes in Hong Kong, China in July to August 2025 (Aug 2025) - arXiv:2508.07600
Leveraging GNN to Enhance MEF Method in Predicting ENSO (Aug 2025) - arXiv:2508.07410
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting (Aug 2025) - arXiv:2508.03589
Conditional Diffusion Models for Global Precipitation Map Inpainting (Jul 2025) - arXiv:2507.20478
Discovering the dynamics of \emph{Sargassum} rafts' centers of mass (Jul 2025) - arXiv:2507.18771
Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery (Jul 2025) - arXiv:2507.06425
Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers (Jul 2025) - arXiv:2507.04802
Predictive Modeling of Effluent Temperature in SAT Systems Using Ambient Meteorological Data: Implications for Infiltration Management (Jul 2025) - arXiv:2507.04050
Multi-Label Classification Framework for Hurricane Damage Assessment (Jul 2025) - arXiv:2507.02265
Atmospheric model-trained machine learning selection and classification of ultracool TY dwarfs (Jul 2025) - arXiv:2507.00957
AIR-VIEW: The Aviation Image Repository for Visibility Estimation of Weather, A Dataset and Benchmark (Jun 2025) - arXiv:2506.20939
Spatiotemporal deep learning models for detection of rapid intensification in cyclones (Jun 2025) - arXiv:2506.08397
Deep learning methods for modeling infrasound transmission loss in the middle atmosphere (Jun 2025) - arXiv:2506.06351
Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data (May 2025) - arXiv:2505.24556
Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control (May 2025) - arXiv:2505.23355
Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass Adoption (May 2025) - arXiv:2505.18892
Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion (May 2025) - arXiv:2505.18747
A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation (May 2025) - arXiv:2505.15802
Controllable Weather Synthesis and Removal with Video Diffusion Models (May 2025) - arXiv:2505.00704
Enhancing Tropical Cyclone Path Forecasting with an Improved Transformer Network (May 2025) - arXiv:2505.00495
Validation of a 24-hour-ahead Prediction model for a Residential Electrical Load under diverse climate (May 2025) - arXiv:2505.00348
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics (Apr 2025) - arXiv:2504.19066
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models (Apr 2025) - arXiv:2504.12542
Weather-Aware Object Detection Transformer for Domain Adaptation (Apr 2025) - arXiv:2504.10877
A physics informed neural network approach to simulating ice dynamics governed by the shallow ice approximation (Apr 2025) - arXiv:2504.08136
From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data (Apr 2025) - arXiv:2504.07905
The Gradient of Mean Molecular Weight Across the Radius Valley (Apr 2025) - arXiv:2504.02499
Deep learning-based identification of precipitation clouds from all-sky camera data for observatory safety (Mar 2025) - arXiv:2503.18670
Improving the quasi-biennial oscillation via a surrogate-accelerated multi-objective optimization (Mar 2025) - arXiv:2503.13498
Typhoon T1: An Open Thai Reasoning Model (Feb 2025) - arXiv:2502.09042
Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning (Feb 2025) - arXiv:2502.05014
Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach (Feb 2025) - arXiv:2502.00300
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter (Jan 2025) - arXiv:2501.17781
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction (Jan 2025) - arXiv:2501.16900
Using Generative Models to Produce Realistic Populations of UK Windstorms (Jan 2025) - arXiv:2501.16110
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis (Jan 2025) - arXiv:2501.12500
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks (Jan 2025) - arXiv:2501.11762
Learning Physically Interpretable Atmospheric Models from Data with WSINDy (Jan 2025) - arXiv:2501.00738
Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models (Dec 2024) - arXiv:2412.13702
Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates (Dec 2024) - arXiv:2412.12183
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions (Dec 2024) - arXiv:2412.03307
Distribution of plastics of various sizes and densities in the global ocean from a 3D Eulerian model (Nov 2024) - arXiv:2411.14335
Lagrangian Drifter Path Identification and Prediction: SINDy vs Neural ODE (Nov 2024) - arXiv:2411.04350
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models (Oct 2024) - arXiv:2410.23971
Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array (Oct 2024) - arXiv:2410.22849
Stochastic Flow Matching for Resolving Small-Scale Physics (Oct 2024) - arXiv:2410.19814
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence (Oct 2024) - arXiv:2410.14024
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks (Oct 2024) - arXiv:2410.12823
WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation (Oct 2024) - arXiv:2410.12075
Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers (Oct 2024) - arXiv:2410.10665
A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations (Oct 2024) - arXiv:2410.08218
UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake (Oct 2024) - arXiv:2410.03951
Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection (Oct 2024) - arXiv:2410.03549
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves (Oct 2024) - arXiv:2410.00984
CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting (Sep 2024) - arXiv:2409.19058
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024 (Sep 2024) - arXiv:2409.16799
A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations (Sep 2024) - arXiv:2409.16319
SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling (Sep 2024) - arXiv:2409.16313
Deep Learning Techniques for Atmospheric Turbulence Removal: A Review (Sep 2024) - arXiv:2409.14587
ERIC: Estimating Rainfall with Commodity Doorbell Camera for Precision Residential Irrigation (Sep 2024) - arXiv:2409.13104
GPC/m: Global Precipitation Climatology by Machine Learning; Quasi-global, Daily, and One Degree Spatial Resolution (Sep 2024) - arXiv:2409.09639
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics (Sep 2024) - arXiv:2409.08530
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems (Sep 2024) - arXiv:2409.07637
Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned (Sep 2024) - arXiv:2409.05176
Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks (Sep 2024) - arXiv:2409.03663
Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks (Aug 2024) - arXiv:2408.16152
Forecasting seasonal rainfall in SE Australia using Empirical Orthogonal Functions and Neural Networks (Aug 2024) - arXiv:2408.10550
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting (Aug 2024) - arXiv:2408.09695
A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay (Aug 2024) - arXiv:2408.05797
Detection of Animal Movement from Weather Radar using Self-Supervised Learning (Aug 2024) - arXiv:2408.04424
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection (Aug 2024) - arXiv:2408.04254
OTCliM: generating a near-surface climatology of optical turbulence strength ($C_n^2$) using gradient boosting (Aug 2024) - arXiv:2408.00520
Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather (Jul 2024) - arXiv:2407.19663
Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes (Jul 2024) - arXiv:2407.19237
On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study (Jul 2024) - arXiv:2407.17842
The QBO, the annual cycle, and their interactions: Isolating periodic modes with Koopman analysis (Jul 2024) - arXiv:2407.17422
Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks (Jul 2024) - arXiv:2407.08668

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papers.yml		papers.yml
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