domains · climate
a century of climate, one query away
Climate datasets are too large to move and too valuable to leave unused. Earthmover keeps reanalysis, model output, and large ensembles as cloud-native data cubes that stay in place while your analysis comes to them.
the data
What we store
Reanalysis
ERA5, MERRA-2, and regional reanalyses as continuous data cubes spanning their full record.
Climate model output
CMIP-class simulations across models, scenarios, and variables, addressable along every dimension.
Large ensembles
Hundreds of members treated as one array dimension rather than hundreds of separate datasets.
Downscaled projections
Bias-corrected and statistically downscaled products, versioned alongside the source they derive from.
on the platform
What Earthmover adds
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Ensembles as a dimension — slice across members the same way you slice across time.
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No download step — stream the subset your analysis needs directly from object storage.
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Provenance you can cite — tag the exact dataset version behind a published figure.
case studies
Teams building on climate data
Eoliann
Built Airis, a climate-risk model estimating the physical impact of floods, wildfires, and storms on critical assets, on Earthmover instead of GeoTIFF sprawl.
Kettle
Powers wildfire risk modeling at scale, combining climate, weather, and vegetation data to price reinsurance.