{"total":56,"rows":[{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"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":"2506.10521","title":"Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning","created":"2025-06-12","cited_by_count":34,"area":"lr"},{"id":"2405.13796","title":"Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling","created":"2024-05-22","cited_by_count":23,"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":"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":"2505.23522","title":"OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data","created":"2025-05-29","cited_by_count":14,"area":null},{"id":"2411.05420","title":"WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning","created":"2024-11-08","cited_by_count":12,"area":null},{"id":"2410.05805","title":"PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling","created":"2024-10-08","cited_by_count":10,"area":"diffusion"},{"id":"2508.12291","title":"RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts","created":"2025-08-17","cited_by_count":8,"area":null},{"id":"2511.09731","title":"FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching","created":"2025-11-12","cited_by_count":8,"area":"diffusion"},{"id":"2504.14264","title":"Generative emulation of chaotic dynamics with coherent prior","created":"2025-04-19","cited_by_count":7,"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":"2511.17558","title":"WaveC2R: Wavelet-Driven Coarse-to-Refined Hierarchical Learning for Radar Retrieval","created":"2025-11-13","cited_by_count":6,"area":null},{"id":"2602.05204","title":"Extreme Weather Nowcasting via Local Precipitation Pattern Prediction","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2412.01091","title":"DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting","created":"2024-12-02","cited_by_count":4,"area":null},{"id":"2503.06623","title":"Transforming Weather Data from Pixel to Latent Space","created":"2025-03-09","cited_by_count":3,"area":null},{"id":"2606.02661","title":"Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting","created":"2026-06-01","cited_by_count":3,"area":"diffusion"},{"id":"2412.14048","title":"Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events","created":"2024-12-18","cited_by_count":2,"area":null},{"id":"2505.10271","title":"RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours","created":"2025-05-15","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":"2510.07953","title":"SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2510.14962","title":"RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion","created":"2025-10-16","cited_by_count":2,"area":null},{"id":"2510.21847","title":"SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization","created":"2025-10-22","cited_by_count":2,"area":"alignment"},{"id":"2512.21643","title":"Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation","created":"2025-12-25","cited_by_count":2,"area":null},{"id":"2605.13181","title":"Stable Attention Response for Reliable Precipitation Nowcasting","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2605.13197","title":"McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2605.31204","title":"Probabilistic Precipitation Nowcasting with Rectified Flow Transformers","created":"2026-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2606.29855","title":"RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2510.15978","title":"DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2511.04659","title":"Nowcast3D: Reliable precipitation nowcasting via gray-box learning","created":"2025-11-06","cited_by_count":1,"area":null},{"id":"2511.05471","title":"Precipitation nowcasting of satellite data using physically-aligned neural networks","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2512.21118","title":"STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting","created":"2025-12-24","cited_by_count":1,"area":"diffusion"},{"id":"2605.10046","title":"PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2502.11013","title":"Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems","created":"2025-02-16","cited_by_count":0,"area":"diffusion"},{"id":"2507.00845","title":"Do Echo Top Heights Improve Deep Learning Nowcasts?","created":"2025-07-01","cited_by_count":0,"area":null},{"id":"2511.08291","title":"SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer","created":"2025-11-11","cited_by_count":0,"area":"diffusion"},{"id":"2511.17628","title":"Rectifying Distribution Shift in Cascaded Precipitation Nowcasting","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2512.08974","title":"FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2603.00418","title":"Station2Radar: query conditioned gaussian splatting for precipitation field","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2603.13298","title":"FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2605.05912","title":"From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.12542","title":"Earth Science Foundation Models: From Perception to Reasoning and Discovery","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.14606","title":"MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting","created":"2026-05-14","cited_by_count":0,"area":"ssm"},{"id":"2605.19366","title":"Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.30821","title":"Mind the Residual Gap: Probabilistic Downscaling under Real-World Bias","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.08436","title":"FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.30205","title":"Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.29772","title":"WeatherDiagFlow: Evidence-Grounded Radar Nowcasting with Diagnostic Flow Refinement","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.33457","title":"A Free Knob: Decoupling Calibration and Predictive Skill in Threshold-Based Evaluation","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34836","title":"MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37038","title":"NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2609.37487","title":"Physics-Guided Flow-Map Matching for Precipitation Nowcasting","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.38926","title":"PrecipJEPA: JEPA-Regularized Future-State Prediction with Motion-Source Rendering for Precipitation Nowcasting","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.03759","title":"BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables","created":"2026-09-27","cited_by_count":0,"area":"diffusion"},{"id":"2610.18621","title":"Deterministic Prediction as Global Velocity: Flow Matching for Probabilistic Time-Series Forecast","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}