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Site
- Preprocessed Datasets
- AI for Earth System Science Summer School Hackathon
- AMS Solar Energy Prediction Contest
- AQ-Bench: A Benchmark Dataset for Machine Learning on Global Air Quality Metrics
- CAMELS: CATCHMENT ATTRIBUTES AND METEOROLOGY FOR LARGE-SAMPLE STUDIES
- ClimateNet: an expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather
- CloudCast: A large-scale dataset and baseline for forecasting clouds
- CUMULO: a benchmark dataset for training and evaluating global cloud classification models
- Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System (+ Competition)
- EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
- The ExtremeWeather Dataset
- FlowDB: A new large scale river flow, flash flood, and precipitation dataset
- How Much Did It Rain I and II
- MeteoNet, an open reference weather dataset by METEO FRANCE
- Neural Networks for Postprocessing Ensemble Weather Forecasts
- RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
- SEVIR Dataset
- SVRIMG - SeVere Reflectivity IMaGe Dataset
- TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting
- Understanding Clouds from Satellite Images
- VALUE: A framework to validate downscaling approaches for climate change studies
- WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
- s2s-ai-challenge
- Template
- Raw datasets
- Hybrid ML-Physics Models
- Preprocessed Datasets