---
id: "/science-medicine/weather-climate/"
title: "weather & climate: 24 curated resources"
url: "https://skillissue.dev/science-medicine/weather-climate/"
---

# weather & climate: 24 curated resources

weather & climate

[Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md)

24 resources · page 1 of 1

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### [Aurora (Microsoft)](/frontier/research-feeds/aurora-microsoft/index.md)

by [Microsoft](https://opensource.microsoft.com)

Microsoft Aurora GitHub repo: implementation of the Aurora Earth system forecasting model.

entity repo US en 

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### [Climate Change AI](/frontier/research-feeds/climate-change-ai/index.md)

by [Climate Change AI](https://climatechange.ai/)

Climate Change AI site with curated climate-ML research, a summer school, grants and community events.

entity community Global en 

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### [Earth2Studio](/frontier/research-feeds/earth2studio/index.md)

by [NVIDIA Corporation](https://nvidia.com)

NVIDIA Earth2Studio GitHub repo: framework for running AI weather and climate models with data sources.

entity repo US/global en 

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### [ECMWF ai-models](/frontier/research-feeds/ecmwf-ai-models/index.md)

by [ECMWF lab](https://github.com/ecmwf-lab)

ECMWF ai-models GitHub repo: runs AI weather forecasting models with ECMWF data.

entity repo West en 

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### [FengWu](/frontier/research-feeds/fengwu/index.md)

by [OpenEarthLab](https://github.com/OpenEarthLab)

OpenEarthLab FengWu GitHub repo: inference code and weights for the FengWu deep learning weather forecasting model.

entity repo CN en 

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### [FourCastNet](/frontier/research-feeds/fourcastnet/index.md)

by [NVIDIA Research Projects](https://research.nvidia.com/)

NVlabs FourCastNet GitHub repo: code, data and weights for the FourCastNet global weather forecasting model.

entity repo West en 

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### [GraphCast / WeatherNext](/frontier/research-feeds/graphcast-weathernext/index.md)

by [Google DeepMind](https://www.deepmind.com/)

DeepMind weathernext GitHub repo: code for WeatherNext 2, a global medium-range weather and cyclone model.

entity repo UK; US en 

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### [NASA/IBM Prithvi models (HF org)](/frontier/research-feeds/nasa-ibm-prithvi-models-hf-org/index.md)

by [IBM-NASA Prithvi Models Family](https://huggingface.co/ibm-nasa-geospatial)

IBM–NASA Prithvi Hugging Face organisation: Earth observation and weather foundation models with fine-tunes.

entity model US/Germany en 

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### [NeuralGCM](/frontier/research-feeds/neuralgcm-2/index.md)

by [neuralgcm](https://github.com/neuralgcm)

NeuralGCM GitHub repo: hybrid physics and ML general circulation model for weather and climate.

entity repo Global (Google; ECMWF; MIT; Ha en 

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### [Open Climate Fix](/frontier/research-feeds/open-climate-fix/index.md)

by [Open Climate Fix](https://openclimatefix.org)

Open Climate Fix GitHub organisation: open-source solar generation forecasting and climate ML code.

entity org UK en 

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### [Open Climate Fix PVNet](/frontier/research-feeds/open-climate-fix-pvnet/index.md)

by [Open Climate Fix](https://openclimatefix.org)

Open Climate Fix PVNet GitHub repo: training and live running of a solar PV generation forecasting model.

entity repo UK en 

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### [Pangu-Weather (Huawei)](/frontier/research-feeds/pangu-weather-huawei/index.md)

by [Lingxi Xie](https://lingxixie.com)

Pangu-Weather GitHub repo: official Huawei implementation and weights for medium-range weather forecasting.

entity repo CN en 

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### [Prithvi WxC](/frontier/research-feeds/prithvi-wxc/index.md)

by [Office of Data Science and Informatics](https://github.com/NASA-IMPACT)

NASA-IMPACT Prithvi WxC GitHub repo: implementation of the Prithvi weather and climate foundation model.

entity repo Global (IBM Research; NASA; re en 

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### [Climate Change AI tutorials](/frontier/research-feeds/climate-change-ai-tutorials/index.md)

by [Climate Change AI](https://climatechange.ai/)

Climate Change AI tutorials pairing machine-learning methods with concrete climate problems, with notebooks.

Intermediate learning_resource course Global en 

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### [ECMWF AIFS](/frontier/research-feeds/ecmwf-aifs/index.md)

by [European Centre for Medium-Range Weather Forecasts (ECMWF)](https://www.ecmwf.int/)

ECMWF page on AIFS, its operational machine-learning weather forecasting system, with model versions and open data access.

Intermediate–Advanced learning_resource docs EU en 

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### [AIFS paper (ECMWF)](/frontier/research-feeds/aifs-paper-ecmwf/index.md)

by [Simon Lang et al. (ECMWF)](https://www.ecmwf.int/)

arXiv paper (2024) describing AIFS, ECMWF's data-driven weather forecasting system.

Advanced–Expert learning_resource paper West en 

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### [Aurora](/frontier/research-feeds/aurora/index.md)

by [Cristian Bodnar et al. (Microsoft)](https://www.microsoft.com/)

arXiv HTML version of the Aurora paper (2024) on a foundation model of the atmosphere.

Advanced–Expert learning_resource paper Global (Microsoft Research; Ca en 

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### [ClimaX](/frontier/research-feeds/climax/index.md)

by [Tung Nguyen et al. (UCLA and Microsoft Research)](https://www.microsoft.com/en-us/research/)

ICML 2023 paper ClimaX: a foundation model for weather and climate.

Advanced–Expert learning_resource paper Global (Microsoft Research; UC en 

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### [FuXi Weather](/frontier/research-feeds/fuxi-weather-data-to-forecast-arxiv-2408-05472/index.md)

by [Xiuyu Sun et al. (Fudan University)](https://www.fudan.edu.cn/)

arXiv PDF (2024) of FuXi Weather, an end-to-end ML system forecasting directly from raw observations.

Advanced learning_resource paper China (Fudan/Shanghai Academy of AI for Science) en 

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### [GenCast paper](/frontier/research-feeds/gencast-paper/index.md)

by [Ilan Price et al. (Google DeepMind)](https://deepmind.google/)

arXiv paper (2023) introducing GenCast, a diffusion-based ensemble model for medium-range weather forecasting.

Advanced–Expert learning_resource paper West en 

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### [GraphCast paper](/frontier/research-feeds/graphcast-paper/index.md)

by [Remi Lam et al. (Google DeepMind)](https://deepmind.google/)

arXiv paper (2022) introducing GraphCast, a graph neural network for medium-range global weather forecasting.

Advanced–Expert learning_resource paper West en 

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### [NeuralHydrology](/frontier/research-feeds/neuralhydrology/index.md)

by [Neural Hydrology](https://neuralhydrology.github.io/)

NeuralHydrology site: research blog and library for neural networks in rainfall-runoff and hydrological modelling.

Advanced learning_resource docs Europe/US en 

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### [Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)](/frontier/research-feeds/pangu-weather-bi-et-al-nature-2023-huawei/index.md)

by [Kaifeng Bi et al. (Huawei Cloud)](https://www.huaweicloud.com/)

Nature paper (2023) on Huawei's Pangu-Weather, medium-range forecasting with 3D neural networks.

Advanced learning_resource paper China en 

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### [Anemoi](/frontier/research-feeds/anemoi/index.md)

by [ECMWF (Anemoi)](https://www.ecmwf.int/)

Anemoi documentation: ECMWF-led framework for building data-driven weather forecasting models, from data to inference.

Expert learning_resource docs Europe/intergovernmental en 

[Plain-text Markdown copy](/science-medicine/weather-climate/index.md)
