DeepExtremeCubes: Earth system data for assessing compound heatwave and drought impacts
Over 40,000 globally sampled minicubes with Sentinel-2, ERA5-Land, and extreme event data (2016-2022) for ML assessment of compound heatwave and drought ecosystem impacts.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Drought Indices
- Machine Learning
What you can do with it
Typical work that data of this type supports.
- 01
Drought indices
Track SPI and SPEI style indices for declarations and relief.
Because it has: Drought Indices
- 02
Planning
Plan reservoir releases and cropping for a dry year.
- 03
No-gauge areas
Monitor places with no ground stations.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Onset forecasts
Predict drought onset months ahead from climate signals.
- 02
One risk score
Combine many indices into a single, explainable risk score.
- 03
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Data paper
DeepExtremeCubes: Earth system data for assessing compound heatwave and drought impacts
Scientific Data 2025
Read the paperRelated water data
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- Dheed: ERA5 based global database of compound dry and hot extreme events (1950-2023)Global | Free
- ERA5-Drought: global drought indices based on ECMWF reanalysisGlobal | Free
- First global multi-timescale daily SPEI dataset (1982-2021)Global | Free
- Global daily evapotranspiration deficit index for drought severity (1979-2022)Global | Free
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