OpheliaMiralles / wind-downscaling-ganLinks
☆33Updated 2 years ago
Alternatives and similar repositories for wind-downscaling-gan
Users that are interested in wind-downscaling-gan are comparing it to the libraries listed below
Sorting:
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- Beta for Pangeo Postprocessing☆17Updated 4 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆93Updated 11 months ago
- ☆40Updated 3 years ago
- post-processing experiments with neural networks☆62Updated 3 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆72Updated 4 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 3 years ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆98Updated 4 months 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
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆93Updated 2 years ago
- ☆29Updated last week
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 8 months ago
- Clean, easier to use version of the downscaling cGAN☆23Updated last year
- ☆28Updated this week
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆54Updated 6 months ago
- Diffusion for climate downscaling☆64Updated last year
- Simulate SEVIRI satellite channels from WRF output☆23Updated 6 months ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆23Updated last year
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆86Updated 4 months ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- Python code to assist in familiarizing meteorologists with machine learning☆31Updated 6 months ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆52Updated 3 months ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated 7 months ago
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆28Updated 2 years ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆16Updated 2 years ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆60Updated last week
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- GOES-16 Convective Initiation Benchmark☆17Updated 3 years ago