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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.."

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

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.

Fork of https://github.com/fastapi/fastapi-cli

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.

This plugin takes various feature classes from the Federal Register of Buildings and Dwellings (RBD) data, produced by the Swiss Federal Statistical Office (FSO), and data from the Topografischen Landschaftsmodells (TLM) dataset called "SwissTLM3D", produced by swisstopo, to calculate a final "Settlement" polygon layer.

Download Settlement Calculator Plugin v1.0.0 ZIP

Codes for the CHELSA_ISIMIP3b_BA_1km project.

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

GC-Net

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

Codes for the CHELSA-W5E5 paper

Extension to allow dataset restriction via CKAN API.