Deep learning approaches for statistical downscaling in climate
☆74Jul 1, 2022Updated 4 years ago
Alternatives and similar repositories for DeepDownscaling
Users that are interested in DeepDownscaling are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Statistical climate downscaling in Python☆198Oct 5, 2026Updated 3 weeks ago
- Python functions for climate data downscaling with Deep Learning☆13Jul 8, 2026Updated 3 months ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆23Oct 19, 2021Updated 5 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆100Jul 30, 2024Updated 2 years ago
- An R package for climate data post-processing (part of the climate4R bundle)☆12May 5, 2026Updated 5 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for manuscript titled: "On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer cli…☆10Apr 6, 2025Updated last year
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Jun 10, 2021Updated 5 years ago
- Climate downscaling using CMIP6 data☆217Jun 24, 2026Updated 4 months ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆101Jun 8, 2022Updated 4 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆102Feb 25, 2025Updated last year
- Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climati…☆30Nov 3, 2021Updated 4 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Apr 8, 2021Updated 5 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆20May 29, 2021Updated 5 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆15Aug 13, 2026Updated 2 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆110Feb 21, 2025Updated last year
- A statistical downscaling approach using ConvLSTMs.☆30Nov 12, 2021Updated 4 years ago
- a GAN for precipitation downscaling☆42Mar 7, 2022Updated 4 years ago
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆14Sep 13, 2024Updated 2 years ago
- Methods to downscale climate timeseries from CORDEX RCM data.☆12Jul 6, 2023Updated 3 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆39Jun 1, 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
- An R package for climate data bias correction and downscaling (part of the climate4R bundle)☆112Mar 11, 2025Updated last year
- 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆154May 28, 2025Updated last year
- An R Framework for Climate Data Access and Post-processing☆143Nov 5, 2025Updated 11 months ago
- An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.☆93Updated this week
- A non-exhaustive list of open resources to help environmental scientists get started with machine learning☆23May 22, 2025Updated last year
- The Rainfall Intensity Data Series can be Fitted to Eight Different PDFs and the Intensity-Duration-Frequency Curves are Computed☆15Dec 26, 2022Updated 3 years ago
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆23Sep 16, 2026Updated last month
- Research and experiments for downscaling climate/weather data via generative learning☆37Mar 30, 2022Updated 4 years ago
- Datasets, code and virtual workspace for the Climate Change ATLAS☆109Oct 7, 2026Updated 3 weeks ago
- Diffusion for climate downscaling☆94Jun 28, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆23Oct 12, 2022Updated 4 years ago
- Clean, easier to use version of the downscaling cGAN☆25Feb 26, 2024Updated 2 years ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆27May 12, 2023Updated 3 years ago
- ☆18Oct 26, 2026Updated last week
- ☆13Jan 6, 2023Updated 3 years ago
- ☆10Apr 1, 2021Updated 5 years ago
- Analysis framework and collection of process-oriented diagnostics for weather and climate simulations☆81Oct 19, 2026Updated 2 weeks ago