{"total":200,"rows":[{"id":"2311.07222","title":"Neural General Circulation Models for Weather and Climate","created":"2023-11-13","cited_by_count":239,"area":null},{"id":"2312.15796","title":"GenCast: Diffusion-based ensemble forecasting for medium-range weather","created":"2023-12-25","cited_by_count":177,"area":null},{"id":"2312.03876","title":"Scaling transformer neural networks for skillful and reliable medium-range weather forecasting","created":"2023-12-06","cited_by_count":110,"area":null},{"id":"2404.10024","title":"ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs","created":"2024-04-15","cited_by_count":82,"area":null},{"id":"2507.12144","title":"FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale","created":"2025-07-16","cited_by_count":62,"area":null},{"id":"2411.11268","title":"ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses","created":"2024-11-18","cited_by_count":54,"area":null},{"id":"2402.00712","title":"ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction","created":"2024-02-01","cited_by_count":43,"area":null},{"id":"2312.03014","title":"Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey","created":"2023-12-05","cited_by_count":34,"area":null},{"id":"2502.00338","title":"OneForecast: A Universal Framework for Global and Regional Weather Forecasting","created":"2025-02-01","cited_by_count":34,"area":null},{"id":"2405.04285","title":"On the Foundations of Earth and Climate Foundation Models","created":"2024-05-07","cited_by_count":33,"area":null},{"id":"2409.13598","title":"Prithvi WxC: Foundation Model for Weather and Climate","created":"2024-09-20","cited_by_count":31,"area":null},{"id":"2402.00059","title":"FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting","created":"2024-01-28","cited_by_count":30,"area":null},{"id":"2406.04759","title":"Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks","created":"2024-06-07","cited_by_count":30,"area":null},{"id":"2311.06253","title":"Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh","created":"2023-09-11","cited_by_count":28,"area":null},{"id":"2501.19374","title":"Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function","created":"2025-01-31","cited_by_count":28,"area":null},{"id":"2403.13458","title":"Uncertainty quantification for data-driven weather models","created":"2024-03-20","cited_by_count":26,"area":null},{"id":"2410.14932","title":"Can AI weather models predict out-of-distribution gray swan tropical cyclones?","created":"2024-10-19","cited_by_count":26,"area":null},{"id":"2311.03721","title":"ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning","created":"2023-11-07","cited_by_count":25,"area":null},{"id":"2401.15305","title":"A Practical Probabilistic Benchmark for AI Weather Models","created":"2024-01-27","cited_by_count":25,"area":null},{"id":"2309.17370","title":"Graph-based Neural Weather Prediction for Limited Area Modeling","created":"2023-09-29","cited_by_count":22,"area":null},{"id":"2312.12462","title":"Towards an end-to-end artificial intelligence driven global weather forecasting system","created":"2023-12-18","cited_by_count":21,"area":null},{"id":"2406.08632","title":"Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model","created":"2024-06-12","cited_by_count":21,"area":null},{"id":"2406.14798","title":"Probabilistic Emulation of a Global Climate Model with Spherical DYffusion","created":"2024-06-21","cited_by_count":21,"area":null},{"id":"2408.03100","title":"Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators","created":"2024-08-06","cited_by_count":18,"area":null},{"id":"2502.12902","title":"Probabilistic neural operators for functional uncertainty quantification","created":"2025-02-18","cited_by_count":18,"area":null},{"id":"2404.14712","title":"ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability","created":"2024-04-23","cited_by_count":17,"area":null},{"id":"2501.06907","title":"Deep Learning and Foundation Models for Weather Prediction: A Survey","created":"2025-01-12","cited_by_count":16,"area":null},{"id":"2404.19630","title":"Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction","created":"2024-04-30","cited_by_count":15,"area":null},{"id":"2310.05517","title":"WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction","created":"2023-10-09","cited_by_count":14,"area":null},{"id":"2404.17652","title":"Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events","created":"2024-04-26","cited_by_count":14,"area":null},{"id":"2502.19750","title":"CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer","created":"2025-02-27","cited_by_count":14,"area":null},{"id":"2508.15724","title":"Numerical models outperform AI weather forecasts of record-breaking extremes","created":"2025-08-21","cited_by_count":14,"area":null},{"id":"2405.05925","title":"FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting","created":"2024-05-09","cited_by_count":13,"area":null},{"id":"2604.09041","title":"U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster","created":"2026-04-10","cited_by_count":12,"area":null},{"id":"2408.09881","title":"Uncertainty Quantification of Surrogate Models using Conformal Prediction","created":"2024-08-19","cited_by_count":11,"area":null},{"id":"2409.07188","title":"FuXi-2.0: Advancing machine learning weather forecasting model for practical applications","created":"2024-09-11","cited_by_count":11,"area":null},{"id":"2503.01505","title":"Lossy Neural Compression for Geospatial Analytics: A Review","created":"2025-03-03","cited_by_count":10,"area":null},{"id":"2503.02618","title":"ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish","created":"2025-03-04","cited_by_count":10,"area":null},{"id":"2602.22962","title":"Scaling Laws of Global Weather Models","created":"2026-02-26","cited_by_count":9,"area":null},{"id":"2406.01645","title":"FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation","created":"2024-06-03","cited_by_count":8,"area":null},{"id":"2409.09371","title":"WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models","created":"2024-09-14","cited_by_count":8,"area":null},{"id":"2503.03038","title":"Generative assimilation and prediction for weather and climate","created":"2025-03-04","cited_by_count":8,"area":null},{"id":"2605.00850","title":"Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting","created":"2026-04-20","cited_by_count":8,"area":null},{"id":"2401.11960","title":"Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method","created":"2024-01-22","cited_by_count":7,"area":null},{"id":"2410.04740","title":"Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario","created":"2024-10-07","cited_by_count":7,"area":null},{"id":"2502.01550","title":"FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction","created":"2025-02-03","cited_by_count":7,"area":null},{"id":"2509.25210","title":"STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting","created":"2025-09-21","cited_by_count":7,"area":null},{"id":"2405.14527","title":"ArchesWeather: An efficient AI weather forecasting model at 1.5{\\deg} resolution","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2407.08418","title":"PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines","created":"2024-07-11","cited_by_count":6,"area":null},{"id":"2408.02767","title":"4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models","created":"2024-08-05","cited_by_count":6,"area":null},{"id":"2507.03578","title":"SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications","created":"2025-07-04","cited_by_count":6,"area":null},{"id":"2401.16669","title":"Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models","created":"2024-01-30","cited_by_count":5,"area":null},{"id":"2403.13850","title":"Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2504.20238","title":"Atmospheric Predictability Beyond 30 Days with Machine Learning","created":"2025-04-28","cited_by_count":5,"area":null},{"id":"2505.08529","title":"ExEBench: Benchmarking Foundation Models on Extreme Earth Events","created":"2025-05-13","cited_by_count":5,"area":null},{"id":"2505.17720","title":"PEAR: Equal Area Weather Forecasting on the Sphere","created":"2025-05-23","cited_by_count":5,"area":null},{"id":"2507.04930","title":"RainShift: A Benchmark for Precipitation Downscaling Across Geographies","created":"2025-07-07","cited_by_count":5,"area":null},{"id":"2604.16429","title":"(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models","created":"2026-04-06","cited_by_count":5,"area":null},{"id":"2606.10642","title":"PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models","created":"2026-06-09","cited_by_count":5,"area":null},{"id":"2402.17966","title":"STC-ViT: Spatio Temporal Continuous Vision Transformer for Medium-range Global Weather Forecasting","created":"2024-02-28","cited_by_count":4,"area":null},{"id":"2408.14587","title":"Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2411.07814","title":"Community Research Earth Digital Intelligence Twin (CREDIT)","created":"2024-11-09","cited_by_count":4,"area":null},{"id":"2501.13312","title":"Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation","created":"2025-01-23","cited_by_count":4,"area":null},{"id":"2503.22235","title":"WeatherMesh-3: Fast and accurate operational global weather forecasting","created":"2025-03-28","cited_by_count":4,"area":null},{"id":"2507.09703","title":"EPT-2 Technical Report","created":"2025-07-13","cited_by_count":4,"area":null},{"id":"2507.10747","title":"A Benchmarking Framework for AI models in Automotive Aerodynamics","created":"2025-07-14","cited_by_count":4,"area":null},{"id":"2509.01879","title":"MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon","created":"2025-09-02","cited_by_count":4,"area":null},{"id":"2509.17955","title":"Breaking the Discretization Barrier of Continuous Physics Simulation Learning","created":"2025-09-22","cited_by_count":4,"area":null},{"id":"2510.13025","title":"Information Shapes Koopman Representation","created":"2025-10-14","cited_by_count":4,"area":null},{"id":"2601.21151","title":"Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting","created":"2026-01-29","cited_by_count":4,"area":null},{"id":"2605.30184","title":"Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts","created":"2026-05-28","cited_by_count":4,"area":null},{"id":"2504.03603","title":"Towards deployment-centric multimodal AI beyond vision and language","created":"2025-04-04","cited_by_count":3,"area":null},{"id":"2504.09940","title":"TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2506.03744","title":"Probabilistic measures afford fair comparisons of AIWP and NWP model output","created":"2025-06-04","cited_by_count":3,"area":null},{"id":"2506.10660","title":"Constructing Extreme Heatwave Storylines with Differentiable Climate Models","created":"2025-06-12","cited_by_count":3,"area":null},{"id":"2506.19088","title":"Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes","created":"2025-06-23","cited_by_count":3,"area":null},{"id":"2509.22020","title":"Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models","created":"2025-09-26","cited_by_count":3,"area":null},{"id":"2511.18732","title":"OceanForecastBench: A Benchmark Dataset for Data-Driven Global Ocean Forecasting","created":"2025-11-24","cited_by_count":3,"area":null},{"id":"2512.05456","title":"Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data","created":"2025-12-05","cited_by_count":3,"area":null},{"id":"2512.14779","title":"Forecast Skill Is Not Decision Skill: Evidence from Weather-Dependent Decision Tasks","created":"2025-12-16","cited_by_count":3,"area":null},{"id":"2512.18815","title":"Controllable Probabilistic Forecasting with Stochastic Decomposition Layers","created":"2025-12-21","cited_by_count":3,"area":null},{"id":"2602.01194","title":"EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting","created":"2026-02-01","cited_by_count":3,"area":null},{"id":"2602.03767","title":"Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2602.03924","title":"WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2605.01126","title":"Extreme Weather Bench: A framework and benchmark for evaluation of high-impact weather","created":"2026-05-01","cited_by_count":3,"area":null},{"id":"2605.06916","title":"Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2401.16437","title":"A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data","created":"2024-01-26","cited_by_count":2,"area":null},{"id":"2404.00411","title":"Aardvark weather: end-to-end data-driven weather forecasting","created":"2024-03-30","cited_by_count":2,"area":null},{"id":"2406.04678","title":"ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting","created":"2024-06-07","cited_by_count":2,"area":null},{"id":"2406.09474","title":"Lightning-Fast Convective Outlooks: Predicting Severe Convective Environments with Global AI-based Weather Models","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2505.24429","title":"Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System","created":"2025-05-30","cited_by_count":2,"area":null},{"id":"2506.08049","title":"Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting","created":"2025-06-08","cited_by_count":2,"area":null},{"id":"2509.09052","title":"MoWE : A Mixture of Weather Experts","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2509.14775","title":"FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Solver","created":"2025-09-18","cited_by_count":2,"area":null},{"id":"2509.26282","title":"Reframing Generative Models for Physical Systems using Stochastic Interpolants","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2510.02415","title":"The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming","created":"2025-10-02","cited_by_count":2,"area":null},{"id":"2510.25599","title":"Uncertainty Quantification for Regression: A Unified Framework based on kernel scores","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2602.15004","title":"PDE foundation models are skillful AI weather emulators for the Martian atmosphere","created":"2026-02-16","cited_by_count":2,"area":null},{"id":"2603.25687","title":"On Neural Scaling Laws for Weather Emulation through Continual Training","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2604.10414","title":"Neural Stochastic Processes for Satellite Precipitation Refinement","created":"2026-04-12","cited_by_count":2,"area":null}],"next_cursor":"100"}