RolnickLab / constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
☆84Updated last month
Alternatives and similar repositories for constrained-downscaling:
Users that are interested in constrained-downscaling are comparing it to the libraries listed below
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆97Updated last month
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆91Updated 8 months ago
- Diffusion for climate downscaling☆56Updated 9 months ago
- Ai2 Climate Emulator☆88Updated 2 months ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 2 years ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆39Updated 4 months ago
- ☆31Updated 2 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- ☆40Updated 3 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆32Updated 4 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆67Updated 3 years ago
- ☆90Updated 11 months ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆37Updated 10 months ago
- ☆40Updated this week
- Benchmarking of weather forecasts based on station observations☆62Updated last month
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆49Updated 3 months ago
- A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…☆33Updated 2 weeks ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆56Updated 2 months ago
- AtmoRep model code☆46Updated last month
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 5 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 3 years ago
- A modular framework for evaluating weather forecasts☆85Updated this week
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆22Updated 2 weeks ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆52Updated last week
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆138Updated last year
- post-processing experiments with neural networks☆61Updated 3 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago