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Machine learning models developed for avalanche danger level predictions in Switzerland

Microservice cron to make EnviDat data accessible via Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).

codes for chelsa cmip6 mountain climatic belts

Converting S3 based GeoTIFF to COG using rio-cogeo.

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

Utilities for EnviDat projects in Python. API helpers, S3 wrappers etc.

Microservice cron to make EnviDat data accessible via OpenDataSwiss scrapers.

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

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.

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

Backend database and API for MastWeb.

Django API and data import/export Python software package for long-term environmental monitoring data.

GC-Net