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Statistical climate downscaling in Python
Created
2017-07-19
371 commits to main branch, last one about a year ago
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Created
2017-08-11
1,375 commits to master branch, last one 8 months ago
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
Created
2021-03-15
477 commits to master branch, last one 2 years ago
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Created
2023-01-05
45 commits to main branch, last one about a year ago
The Intermediate Complexity Atmospheric Research model (ICAR)
Created
2015-10-27
1,835 commits to main branch, last one 11 months ago
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipi...
Created
2021-11-14
172 commits to main branch, last one about a month ago
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Created
2021-09-28
607 commits to main branch, last one 10 days ago
Diffusion for climate downscaling
Created
2023-11-04
34 commits to main branch, last one 5 months ago
Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.
Created
2024-03-13
421 commits to main branch, last one 10 days ago