The Intermediate Complexity Atmospheric Research model (ICAR)
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Updated
Jun 4, 2024 - Fortran
The Intermediate Complexity Atmospheric Research model (ICAR)
Statistical climate downscaling in Python
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
Generalized Analog Regression Downscaling (GARD) code
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. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Diffusion for climate downscaling
Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
A collection of notebooks and tools for analyzing the LOCA dataset
Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.
The official AtmoSwing repository
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Generate stocastic Gaussian realization constrained to a coarse scale image.
This repository contains three packages that assemble codes and scripts to downscale coarse-resolution reanalysis fields to finer resolutions, accounting for subgrid-scale variability and/or topographic effects.
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.
Weather Generators with Bayesian Networks
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