Awesome-LWMs

2024/12/11: ECMWF releases its Artificial Intelligence Forecast System (AIFS) model and weights freely available on the web

2024/12/04: Google DeepMind releases GenCast, an ensemble AI forecast model

2024/09/20: IBM and Nasa Prithvi-WxC Foundation model

2024/08/15: MetMamba, a DLWP model built on a state-of-the-art state-space model, Mamba, offers notable performance gains ;

2024/07/30: FuXi-S2S published in Nature Communications ;

2024/06/20: WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark ;

2024/05/24: ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions ;

2024/05/22: Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling ;

2024/05/20: Aurora: A Foundation Model of the Atmosphere ;

2024/05/09: FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting ;

2024/05/06: CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer ;

2024/04/15: ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs ;

2024/04/12: FuXi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations ;

2024/03/29: SEEDS: Generative emulation of weather forecast ensembles with diffusion models ;

2024/03/13: KARINA: An Efficient Deep Learning Model for Global Weather Forecast ;

2024/02/06: CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ;

2024/02/04: XiHe, the first data-driven 1/12° resolution global ocean eddy-resolving forecasting model ;

2024/02/02: ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast ;

2024/01/28: FengWu-GHR, the first data-driven global weather forecasting model running at the 0.09∘ horizontal resolution ;

2023/12/27: GenCast, a ML-based generative model for ensemble weather forecasting ;

2023/12/16: Four-Dimensional Variational (4DVar) assimilation, and develop an AI-based cyclic weather forecasting system, FengWu-4DVar ;

2023/12/15: FuXi-S2S: An accurate machine learning model for global subseasonal forecasts ;

2023/12/11: A unified and flexible framework that can equip any type of spatio-temporal models is proposed based on residual diffusion DiffCast ;

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]

2023/12/13: FuXi is open source ;

2023/11/14: GraphCast published in Science ;

2023/10/25: IBM and Nasa Prithvi-100M Model ;

2023/09/14: Pangu-Weather published in Nature ;

2023/08/25: ClimaX published in ICML 2023 ;

[MIT]

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WeatherBench: A benchmark dataset for data-driven weather forecasting

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

MetNet: A Neural Weather Model for Precipitation Forecasting (MetNet)

Deep learning for twelve hour precipitation forecasts (MetNet-2)

Deep Learning for Day Forecasts from Sparse Observations (MetNet-3)

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (FourCastNet)

Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)

Learning skillful medium-range global weather forecasting (GraphCast)

ClimaX: A foundation model for weather and climate (ClimaX)

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead (FengWu)

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation

Towards an end-to-end artificial intelligence driven global weather forecasting system

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast (FuXi)

FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model (FuXi-Extreme)

FuXi-S2S: An accurate machine learning model for global subseasonal forecasts

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations

FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting

AI-GOMS: Large AI-Driven Global Ocean Modeling System (AI-GOMS)

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

SFNO: Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

DGMR: Skilful precipitation nowcasting using deep generative models of radar

Skilful nowcasting of extreme precipitation with NowcastNet (NowcastNet)

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

Neural General Circulation Models for Weather and Climate

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

WeatherBench: A benchmark dataset for data-driven weather forecasting

The ERA5 global reanalysis

SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer

WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark

Can deep learning beat numerical weather prediction?

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Anthropogenic fingerprints in daily precipitation revealed by deep learning

GenCast: Diffusion-based ensemble forecasting for medium-range weather

KARINA: An Efficient Deep Learning Model for Global Weather Forecast

SEEDS: Generative emulation of weather forecast ensembles with diffusion models

Aurora: A Foundation Model of the Atmosphere

ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions

ECMWF AI Models

: AI-based weather forecasting models

Skyrim

: AI weather models united

NVIDIA Earth2Mip

: 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

: Run AI NWP forecasts hassle-free, serverless in the cloud!

: OpenEarthLab, aiming at developing cutting-edge Spatiaotemporal Generation algorithms and promoting the development of Earth Science