RupaKurinchiVendhan / WiSoSuper
☆18Updated last year
Alternatives and similar repositories for WiSoSuper:
Users that are interested in WiSoSuper are comparing it to the libraries listed below
- Clean, easier to use version of the downscaling cGAN☆23Updated 11 months ago
- ☆30Updated 2 years ago
- Diffusion for climate downscaling☆47Updated 7 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆79Updated last year
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆31Updated 8 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆28Updated 2 years ago
- ☆60Updated last year
- ☆40Updated 3 years ago
- Deep learning approaches for statistical downscaling in climate☆70Updated 2 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- post-processing experiments with neural networks☆60Updated 3 years ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆18Updated 7 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆93Updated last year
- 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
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- a GAN for precipitation downscaling☆39Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆87Updated 6 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆48Updated 2 weeks ago
- Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, M…☆15Updated 4 years ago
- ☆24Updated 10 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆11Updated last year
- A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.☆35Updated 3 months ago
- DeepR: Deep Reanalysis☆24Updated last year
- ☆39Updated this week
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 3 months ago
- ☆25Updated 2 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆32Updated last year
- ☆18Updated 10 months ago