spcl / deep-weatherLinks
Deep Learning for Post-Processing Ensemble Weather Forecasts
☆92Updated 2 years ago
Alternatives and similar repositories for deep-weather
Users that are interested in deep-weather are comparing it to the libraries listed below
Sorting:
- post-processing experiments with neural networks☆63Updated 3 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- ☆40Updated 3 years ago
- ☆42Updated 9 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- ☆31Updated this week
- ☆34Updated 2 years ago
- ☆34Updated 3 months ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆94Updated last year
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆37Updated last week
- Clean, easier to use version of the downscaling cGAN☆23Updated last year
- ☆57Updated this week
- ☆13Updated this week
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated this week
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆100Updated 7 months ago
- Deep learning approaches for statistical downscaling in climate☆71Updated 3 years ago
- Simulate SEVIRI satellite channels from WRF output☆24Updated 9 months ago
- Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …☆71Updated last year
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆35Updated 6 months ago
- Core packages for Anemoi.☆78Updated this week
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆56Updated 6 months ago
- Diffusion for climate downscaling☆69Updated last year
- ☆21Updated last year
- ☆19Updated 9 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- End-to-end machine-learning library for predicting thunderstorm hazards.☆34Updated 2 weeks ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆21Updated 2 weeks ago
- A MetNet implementation in Pytorch and fastai☆32Updated 4 years ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆24Updated 2 years ago
- IMPROVER is a library of algorithms for meteorological post-processing.☆116Updated this week