Explore projects
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Microservice cron to make EnviDat data accessible via OpenDataSwiss scrapers.
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Microservice cron to make EnviDat data accessible via NASA Earthdata scrapers.
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Codes for very long chelsa climatologies
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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.."
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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.
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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
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snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in OpenFOAM 5.
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