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Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain. It is based on deep learning and was trained with data from 261 stations. Dujardin and Lehning 2022 "Wind-Topo: Downscaling.."

Servlet listing the paths in the S3 EnviDat bucket

API for publishing EnviDat DOIs to DataCite.

CRYOWRF

Basic OpenLayers implementation to view COG data.

A conceptual model to calculate snow depth from snow water equivalent of the snow pack.

Codes related to CHELSA EarthEnv project. Karger, D.N., Wilson, A.M., Mahony, C., Zimmermann, N.E., Jetz, W. (in review) 'Global daily 1km land surface precipitation based on cloud cover-informed downscaling', Scientific Data

Codes to SAR scale GCM output