scikit-downscale
Climate downscaler
Tools for enhancing climate model simulations through statistical postprocessing and downscaling techniques
Statistical climate downscaling in Python
187 stars
14 watching
47 forks
Language: Python
last commit: 5 months ago
Linked from 1 awesome list
climatedownscalingscikit-learnxarray
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library for downscaling climate data to hillslope scale using topography-based methods | 42 |
| Verification and analysis of weather and climate forecasts using Python. | 234 |
| A package for preprocessing and analyzing CMIP6 climate model data in Python using Pangeo tools. | 198 |
| Tools for dimensionality reduction in climate science data analysis | 109 |
| An open-source framework for downscaling climate variables using machine learning and reanalysis datasets. | 48 |
| A package that provides statistical downscaling routines to refine coarse-scale climate model output at fine spatial resolutions. | 67 |
| Provides tools and data for downscaling CMIP6 climate models to daily timescales | 179 |
| Provides tools and methods for bias correction and daily downscaling of climate data | 105 |
| Interactive computing environment and tutorial materials for big data analysis in the geosciences using Python | 91 |
| Makes CMIP6 climate model data more applicable for understanding climate impacts on humans and society by applying bias correction and downsampling techniques | 136 |
| An R package for retrieving and downscaling climate data from the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family. | 106 |
| A collection of bias correction techniques for climate data analysis | 60 |
| A toolkit for climate forecasting and data analysis | 67 |
| An interactive tutorial on big data analysis with Dask and Xarray for atmospheric data analysis | 31 |
| An open-source software conversion of Project Drawdown's climate models into a Python-based framework for analyzing and predicting global warming solutions | 220 |