{"total":121,"rows":[{"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":"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":"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":"2405.16297","title":"LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles","created":"2024-05-25","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":"2407.09434","title":"Foundation Models for the Electric Power Grid","created":"2024-07-12","cited_by_count":28,"area":null},{"id":"2406.16947","title":"Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales","created":"2024-06-19","cited_by_count":27,"area":null},{"id":"2412.03795","title":"Samudra: An AI Global Ocean Emulator for Climate","created":"2024-12-05","cited_by_count":27,"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":"2401.15305","title":"A Practical Probabilistic Benchmark for AI Weather Models","created":"2024-01-27","cited_by_count":25,"area":null},{"id":"2404.17752","title":"Generative Diffusion-based Downscaling for Climate","created":"2024-04-27","cited_by_count":25,"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":"2409.02891","title":"Regional data-driven weather modeling with a global stretched-grid","created":"2024-09-04","cited_by_count":21,"area":null},{"id":"2407.15586","title":"Data driven weather forecasts trained and initialised directly from observations","created":"2024-07-22","cited_by_count":19,"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":"2501.06907","title":"Deep Learning and Foundation Models for Weather Prediction: A Survey","created":"2025-01-12","cited_by_count":16,"area":null},{"id":"2601.18111","title":"Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting","created":"2026-01-26","cited_by_count":15,"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":"2406.04867","title":"Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting","created":"2024-06-07","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":"2408.01581","title":"Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators","created":"2024-08-02","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":"2506.04528","title":"Hierarchical Implicit Neural Emulators","created":"2025-06-05","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":"2407.06100","title":"Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging","created":"2024-07-08","cited_by_count":8,"area":null},{"id":"2410.07472","title":"Exploring the design space of deep-learning-based weather forecasting systems","created":"2024-10-09","cited_by_count":8,"area":null},{"id":"2412.13074","title":"Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates","created":"2024-12-17","cited_by_count":8,"area":null},{"id":"2504.14264","title":"Generative emulation of chaotic dynamics with coherent prior","created":"2025-04-19","cited_by_count":7,"area":null},{"id":"2603.24500","title":"Project and Generate: Divergence-Free Neural Operators for Incompressible Flows","created":"2026-03-25","cited_by_count":7,"area":null},{"id":"2402.17157","title":"Generative Learning for Forecasting the Dynamics of Complex Systems","created":"2024-02-27","cited_by_count":6,"area":null},{"id":"2405.07395","title":"CaFA: Global Weather Forecasting with Factorized Attention on Sphere","created":"2024-05-12","cited_by_count":6,"area":null},{"id":"2506.10868","title":"A multi-scale loss formulation for learning a probabilistic model with proper score optimisation","created":"2025-06-12","cited_by_count":6,"area":null},{"id":"2511.08860","title":"When is a System Discoverable from Data? Discovery Requires Chaos","created":"2025-11-12","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":"2405.14714","title":"Defining error accumulation in ML atmospheric simulators","created":"2024-05-23","cited_by_count":5,"area":null},{"id":"2409.18885","title":"HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting","created":"2024-09-27","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":"2403.18864","title":"Interpretable Machine Learning for Weather and Climate Prediction: A Survey","created":"2024-03-24","cited_by_count":4,"area":null},{"id":"2410.06731","title":"Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data","created":"2024-10-09","cited_by_count":4,"area":null},{"id":"2410.11807","title":"Regional Ocean Forecasting with Hierarchical Graph Neural Networks","created":"2024-10-15","cited_by_count":4,"area":null},{"id":"2410.18904","title":"Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts","created":"2024-10-24","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":"2503.22235","title":"WeatherMesh-3: Fast and accurate operational global weather forecasting","created":"2025-03-28","cited_by_count":4,"area":null},{"id":"2507.18378","title":"A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting","created":"2025-07-24","cited_by_count":4,"area":null},{"id":"2509.00017","title":"Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland","created":"2025-08-16","cited_by_count":4,"area":null},{"id":"2604.07366","title":"Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing","created":"2026-04-02","cited_by_count":4,"area":null},{"id":"2406.14483","title":"Valid Error Bars for Neural Weather Models using Conformal Prediction","created":"2024-06-20","cited_by_count":3,"area":null},{"id":"2410.10841","title":"AI Foundation Model for Heliophysics: Applications, Design, and Implementation","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2411.03223","title":"Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation","created":"2024-11-05","cited_by_count":3,"area":null},{"id":"2504.17028","title":"Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU","created":"2025-04-23","cited_by_count":3,"area":null},{"id":"2505.14555","title":"Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2506.07969","title":"A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling","created":"2025-06-09","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":"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":"2602.03924","title":"WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2603.12635","title":"Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems","created":"2026-03-13","cited_by_count":3,"area":null},{"id":"2604.01215","title":"The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline","created":"2026-04-01","cited_by_count":3,"area":null},{"id":"2405.06590","title":"Decomposing weather forecasting into advection and convection with neural networks","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2503.09456","title":"SO(3)-Equivariant Neural Networks for Learning from Scalar and Vector Fields on Spheres","created":"2025-03-12","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":"2603.25687","title":"On Neural Scaling Laws for Weather Emulation through Continual Training","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2604.16590","title":"Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction","created":"2026-04-17","cited_by_count":2,"area":null},{"id":"2605.23778","title":"The physics of AI weather models","created":"2026-05-22","cited_by_count":2,"area":null},{"id":"2606.18436","title":"Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks","created":"2026-06-16","cited_by_count":2,"area":null},{"id":"2607.00196","title":"TRIE: An Evaluation Framework for Stochastic PDE Surrogates","created":"2026-06-30","cited_by_count":2,"area":null},{"id":"2403.15598","title":"An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2411.14774","title":"Resolution-Agnostic Transformer-based Climate Downscaling","created":"2024-11-22","cited_by_count":1,"area":null},{"id":"2501.06308","title":"Uncertainty Estimation for Path Loss and Radio Metric Models","created":"2025-01-10","cited_by_count":1,"area":null},{"id":"2503.18023","title":"Regularization of ML models for Earth systems by using longer model timesteps","created":"2025-03-23","cited_by_count":1,"area":null},{"id":"2503.20466","title":"Data-driven Seasonal Climate Predictions via Variational Inference and Transformers","created":"2025-03-26","cited_by_count":1,"area":null},{"id":"2505.01455","title":"Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2505.09803","title":"LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2506.07324","title":"DEF: Diffusion-augmented Ensemble Forecasting","created":"2025-06-08","cited_by_count":1,"area":null},{"id":"2506.13963","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","created":"2025-06-16","cited_by_count":1,"area":null},{"id":"2506.19340","title":"A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2509.00653","title":"IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India","created":"2025-08-31","cited_by_count":1,"area":null},{"id":"2509.18108","title":"Solve it with EASE","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2510.20769","title":"CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2510.26099","title":"SAFE: A Novel Approach to AI Weather Evaluation through Stratified Assessments of Forecasts over Earth","created":"2025-10-30","cited_by_count":1,"area":null},{"id":"2511.17176","title":"On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2512.00089","title":"TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2512.14444","title":"Bridging Artificial Intelligence and Data Assimilation: The Data-driven Ensemble Forecasting System ClimaX-LETKF","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2601.03753","title":"Probabilistic Transformers for Joint Modeling of Global Weather Dynamics and Decision-Centric Variables","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2603.17750","title":"Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2605.01909","title":"Extrapolation in Statistical Learning with Extreme Value Theory","created":"2026-05-03","cited_by_count":1,"area":null},{"id":"2605.26130","title":"AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2605.28851","title":"Towards a Foundation Model for the Martian Atmosphere","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2606.27354","title":"Error-Conditioned Neural Solvers","created":"2026-06-25","cited_by_count":1,"area":null},{"id":"2407.18426","title":"Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting","created":"2024-07-25","cited_by_count":0,"area":null},{"id":"2411.10010","title":"DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models","created":"2024-11-15","cited_by_count":0,"area":null},{"id":"2503.02665","title":"Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2503.13546","title":"CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting","created":"2025-03-16","cited_by_count":0,"area":null},{"id":"2505.15934","title":"Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2507.05416","title":"EmissionNet: Air Quality Pollution Forecasting for Agriculture","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2508.16489","title":"Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2509.09599","title":"Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2511.17721","title":"Prequential posteriors","created":"2025-11-21","cited_by_count":0,"area":null}],"next_cursor":"100"}