Explore projects

Microservice cron to make EnviDat data accessible via NASA Earthdata scrapers.

Workshop material for analysing spatially autocorrelated (SAC) data

SDMs for artic refugia study

Machine learning models developed for avalanche danger level predictions in Switzerland

Codes investigating the relationship between extreme climate metrics and foodweb metrics.

Package for calculating sub-canopy shortwave radiation

Codes for the CHELSA-W5E5 paper

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.."

This python code uses the Finite Element library FENICS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format from which the paper figure is reproduced.

Codes for the CHELSA_ISIMIP3b_BA_1km project.