awesome-earth-system-ml
github.com/blutjens/awesome-earth-system-ml ↗🌎 A curated list of Earth system datasets for the machine learning and weather, climate, ice, ocean, etc. community.
29
GitHub Stars
20
Curated Resources
8
Categories
23 hours ago
Last Refreshed
AtmosphereClimateLand surface, forest, and biodiversityRenewables wind and solarScientific machine learning and numerical methodsWeatherWildfireAwesome-awesome
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Installation instructions →What's inside
Awesome-awesome
Climate
Atmosphere
- CUMULO : A Dataset for Learning Cloud Classes
- Fast and accurate learned multiresolution dynamical downscaling for precipitation
- RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
- SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
Land surface, forest, and biodiversity
Weather
- ERA5
- RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery
- WeatherBench: A benchmark dataset for data-driven weather forecasting
32x64 with 13 vertical grid points, totaling 191GB storage. Includes geopotential, temperature, humidity, wind, potential vorticity, solar radiation, and others. Includes ERA5 and CMIP-MPI-ESM-HR data. Evaluate RMSE. Used in
Scientific machine learning and numerical methods
Renewables wind and solar
Showing a sample of 20 resources. View the full list on GitHub →