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.."

CRYOWRF

CRYOWRF

Microservice cron to make EnviDat data accessible via OpenDataSwiss scrapers.

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

Codes related to DN Karger, AM Wilson, C Mahony, NE Zimmermann, W Jetz 'Global daily 1km land surface precipitation based on cloud cover-informed downscaling', arXiv preprint arXiv:2012.10108.

FastAPI implementation of the OAI-PMH protocol, for use with a downstream metadata API.

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

Workshop material for analysing spatially autocorrelated (SAC) data

Large Eddy Simulation flow solver coupled with Lagrangian Stochastic Model

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

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