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.
☆59Jan 14, 2025Updated last year
Alternatives and similar repositories for PyESD
Users that are interested in PyESD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)☆12May 26, 2022Updated 4 years ago
- This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module pe…☆19Apr 14, 2025Updated last year
- Generalized Analog Regression Downscaling (GARD) code☆34Mar 20, 2024Updated 2 years ago
- Statistical climate downscaling in Python☆196Jul 6, 2026Updated last month
- ☆23Apr 3, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆152May 28, 2025Updated last year
- A Python library for fitting streamflow rating curves.☆21Apr 15, 2026Updated 3 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆101Feb 25, 2025Updated last year
- Python code to create the Observational Large Ensemble.☆11Feb 13, 2023Updated 3 years ago
- Climate downscaling using CMIP6 data☆213Jun 24, 2026Updated last month
- predicting vegetation health from precipitation and temperature☆12May 2, 2019Updated 7 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆101Jul 30, 2024Updated 2 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆15Jun 8, 2023Updated 3 years ago
- Scripts and documentation for processing declassified spy satellite images from Corona and Hexagon with the Ames Stereo Pipeline☆24May 19, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A curated link list related to the cryosphere and its subspheres☆19Apr 11, 2022Updated 4 years ago
- This repository contains scripts to apply the MTM-SVD analysis method to climate data and model outputs. It is a direct adaptation of the…☆16Jul 6, 2020Updated 6 years ago
- A re-implementation of the Kienholz 2014 algorithm in python, "forked" out of the OGGM base☆11Feb 22, 2023Updated 3 years ago
- Maximum Covariance Analysis in Python☆58Jul 7, 2023Updated 3 years ago
- Python for Climate and Meteorological Data Analysis and Visualisation☆23Jan 31, 2019Updated 7 years ago
- TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale☆63Jul 2, 2026Updated last month
- Examples of analysis of Google Cloud CMIP6 data using Pangeo tools☆17Updated this week
- a GAN for precipitation downscaling☆43Mar 7, 2022Updated 4 years ago
- ☆36May 21, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆26Jun 12, 2024Updated 2 years ago
- A hydrologic model in Python☆54Jul 13, 2026Updated 3 weeks ago
- ☆15Jun 4, 2014Updated 12 years ago
- a toolbox for Earth System Model analysis☆29Aug 8, 2021Updated 5 years ago
- xarray-based wavelet analysis☆16Oct 14, 2022Updated 3 years ago
- A collection of bias correction techniques written in Python - for climate sciences.☆83Aug 2, 2026Updated last week
- Repository containing the code and results of experiments to estimate glacier ice thickness with a PINN.☆17Dec 12, 2024Updated last year
- Tools for separating hydrograph in baseflow and peak flow, and extreme value analyses☆27Dec 19, 2019Updated 6 years ago
- Pipeline for statistical downscaling of earth system model output☆12Oct 18, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.☆13Aug 3, 2026Updated last week
- University of FRIbourg variant of the COupled Snow and Ice Model in PYthon (FRICOSIPY) is a 1-dimensonal, coupled surface energy balance …☆25Updated this week
- An R package for climate data bias correction and downscaling (part of the climate4R bundle)☆112Mar 11, 2025Updated last year
- python library for bias correction☆32Jul 9, 2026Updated last month
- Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.☆19May 26, 2022Updated 4 years ago
- Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data☆71Sep 17, 2024Updated last year
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆99Jun 8, 2022Updated 4 years ago