Explore projects

Geospatial module to accompany EnviDat-Frontend.

Frontend for the Envidat platform which provides environmental research data from researchers of the Swiss Federal Institute for Forest, Snow and Landscape.

Train and apply a quantile mapping model for snow water equivalent maps

CRYOWRF

Codes for the CHELSA-W5E5 paper

Implements support for resource storage against multiple popular providers via apache-libcloud (S3, Azure Storage, etc...)

Utility functions for CHELSA

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.."