RolnickLab / constrained-downscalingLinks
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
☆86Updated 3 months ago
Alternatives and similar repositories for constrained-downscaling
Users that are interested in constrained-downscaling are comparing it to the libraries listed below
Sorting:
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆96Updated 3 months ago
- Ai2 Climate Emulator☆95Updated 3 months ago
- Diffusion for climate downscaling☆62Updated 11 months ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆92Updated 10 months ago
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- ☆90Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆32Updated 2 years ago
- A generative foundation model for the kilometer-scale atmosphere☆42Updated last week
- Benchmarking of weather forecasts based on station observations☆74Updated 3 weeks ago
- A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…☆38Updated last week
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆40Updated 3 weeks ago
- ☆28Updated this week
- ☆40Updated 3 years ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆37Updated last year
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆60Updated last month
- Lorenz 1996 two time-scale model for learning machine learning☆51Updated 4 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆52Updated 4 months ago
- DeepR: Deep Reanalysis☆25Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 7 months ago
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆141Updated last week
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 4 years ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆56Updated 2 months ago
- Discover the ECMWF Code for Earth 2023 challenges☆54Updated 2 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- ☆111Updated 3 years ago
- Core implementation of the 4DVarNet architecture☆26Updated last year