Awesome-LWMs
Weather Models Hub
A curated collection of articles and projects related to large weather models, aiming to facilitate understanding and collaboration in the field.
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
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🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 🆕 LWMs News | |||
| [link] | 2024/09/20: IBM and Nasa Prithvi-WxC Foundation model | ||
| [link] | 2024/08/15: MetMamba, a DLWP model built on a state-of-the-art state-space model, Mamba, offers notable performance gains ; | ||
| [link] | 2024/07/30: FuXi-S2S published in Nature Communications ; | ||
| [link] | 2024/06/20: WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark ; | ||
| [link] | 2024/05/24: ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions ; | ||
| [link] | 2024/05/22: Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling ; | ||
| [link] | 2024/05/20: Aurora: A Foundation Model of the Atmosphere ; | ||
| [link] | 2024/05/09: FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting ; | ||
| [link] | 2024/05/06: CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer ; | ||
| [link] | 2024/04/15: ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs ; | ||
| [link] | 2024/04/12: FuXi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations ; | ||
| [link] | 2024/03/29: SEEDS: Generative emulation of weather forecast ensembles with diffusion models ; | ||
| [link] | 2024/03/13: KARINA: An Efficient Deep Learning Model for Global Weather Forecast ; | ||
| [link] | 2024/02/06: CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ; | ||
| [link] | 2024/02/04: XiHe, the first data-driven 1/12° resolution global ocean eddy-resolving forecasting model ; | ||
| [link] | 2024/02/02: ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast ; | ||
| [link] | 2024/01/28: FengWu-GHR, the first data-driven global weather forecasting model running at the 0.09∘ horizontal resolution ; | ||
| [link] | 2023/12/27: GenCast, a ML-based generative model for ensemble weather forecasting ; | ||
| [link] | 2023/12/16: Four-Dimensional Variational (4DVar) assimilation, and develop an AI-based cyclic weather forecasting system, FengWu-4DVar ; | ||
| [link] | 2023/12/15: FuXi-S2S: An accurate machine learning model for global subseasonal forecasts ; | ||
| [link] | 2023/12/11: A unified and flexible framework that can equip any type of spatio-temporal models is proposed based on residual diffusion DiffCast ; | ||
| [link] | 2023/11/13: GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud formation. ; | ||
| [link] | 46 | 7 months ago | 2023/12/13: FuXi is open source ; |
| [link] | 2023/11/14: GraphCast published in Science ; | ||
| [link] | 2023/10/25: IBM and Nasa Prithvi-100M Model ; | ||
| [link] | 2023/09/14: Pangu-Weather published in Nature ; | ||
| [link] | 2023/08/25: ClimaX published in ICML 2023 ; | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 🗂️ LWMs Lists | |||
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| [MIT] | 242 | 10 days ago | |
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| [BSD-3] | 534 | about 1 year ago | |
| [BSD-3] | 534 | about 1 year ago | |
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| [MIT] | 242 | 10 days ago | |
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| [Apache 2.0] | 4,641 | about 1 month ago | |
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| [MIT] | 612 | about 1 year ago | |
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| [Apache 2.0] | 46 | 7 months ago | |
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| [MIT] | 71 | 4 months ago | |
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| [MIT] | 241 | about 1 month ago | |
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🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 🗃️ Dataset Lists | |||
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🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / WeatherBench | |||
| [pdf] | WeatherBench: A benchmark dataset for data-driven weather forecasting | ||
| [pdf] | WeatherBench 2: A benchmark for the next generation of data-driven global weather models | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / MetNet | |||
| [pdf] | MetNet: A Neural Weather Model for Precipitation Forecasting (MetNet) | ||
| [pdf] | Deep learning for twelve hour precipitation forecasts (MetNet-2) | ||
| [pdf] | Deep Learning for Day Forecasts from Sparse Observations (MetNet-3) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / FourCastNet | |||
| [pdf] | FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (FourCastNet) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / Pangu-Weather | |||
| [pdf] | Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / GraphCast | |||
| [pdf] | Learning skillful medium-range global weather forecasting (GraphCast) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / ClimaX | |||
| [pdf] | ClimaX: A foundation model for weather and climate (ClimaX) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / FengWu | |||
| [pdf] | FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead (FengWu) | ||
| [pdf] | FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation | ||
| [pdf] | Towards an end-to-end artificial intelligence driven global weather forecasting system | ||
| [pdf] | FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting | ||
| [pdf] | ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / FuXi | |||
| [pdf] | FuXi: A cascade machine learning forecasting system for 15-day global weather forecast (FuXi) | ||
| [pdf] | FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model (FuXi-Extreme) | ||
| [pdf] | FuXi-S2S: An accurate machine learning model for global subseasonal forecasts | ||
| [pdf] | Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations | ||
| [pdf] | FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / AI-GOMS | |||
| [pdf] | AI-GOMS: Large AI-Driven Global Ocean Modeling System (AI-GOMS) | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / XiHe | |||
| [pdf] | XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / FNO | |||
| [pdf] | Fourier Neural Operator with Learned Deformations for PDEs on General Geometries | ||
| [pdf] | SFNO: Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / Nowcast | |||
| [pdf] | Earthformer: Exploring Space-Time Transformers for Earth System Forecasting | ||
| [pdf] | PreDiff: Precipitation Nowcasting with Latent Diffusion Models | ||
| [odf] | DGMR: Skilful precipitation nowcasting using deep generative models of radar | ||
| [pdf] | Skilful nowcasting of extreme precipitation with NowcastNet (NowcastNet) | ||
| [pdf] | DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting | ||
| [pdf] | CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling | ||
| [pdf] | Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / Physics-AI | |||
| [pdf] | Neural General Circulation Models for Weather and Climate | ||
| [pdf] | ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs | ||
| [pdf] | Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / Datasets | |||
| [pdf] | WeatherBench: A benchmark dataset for data-driven weather forecasting | ||
| [pdf] | The ERA5 global reanalysis | ||
| [pdf] | SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology | ||
| [pdf] | WeatherBench 2: A benchmark for the next generation of data-driven global weather models | ||
| [pdf] | CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer | ||
| [pdf] | WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 📖 Papers / More | |||
| [pdf] | Can deep learning beat numerical weather prediction? | ||
| [pdf] | AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning | ||
| [pdf] | Anthropogenic fingerprints in daily precipitation revealed by deep learning | ||
| [pdf] | GenCast: Diffusion-based ensemble forecasting for medium-range weather | ||
| [pdf] | KARINA: An Efficient Deep Learning Model for Global Weather Forecast | ||
| [pdf] | SEEDS: Generative emulation of weather forecast ensembles with diffusion models | ||
| [pdf] | Aurora: A Foundation Model of the Atmosphere | ||
| [pdf] | ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions | ||
🌍 Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science) / 🚀 Code | |||
| ECMWF AI Models | 402 | 14 days ago | : AI-based weather forecasting models |
| Skyrim | 158 | about 1 month ago | : AI weather models united |
| NVIDIA Earth2Mip | 201 | 3 months ago | : Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate |
| AI Models for All | 108 | 8 months ago | : Run AI NWP forecasts hassle-free, serverless in the cloud! |
| OpenEarthLab | : OpenEarthLab, aiming at developing cutting-edge Spatiaotemporal Generation algorithms and promoting the development of Earth Science | ||
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