raspstephan / nwp-downscaleLinks
☆40Updated 4 years ago
Alternatives and similar repositories for nwp-downscale
Users that are interested in nwp-downscale are comparing it to the libraries listed below
Sorting:
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆25Updated 2 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆103Updated 8 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- ☆34Updated 4 months ago
- post-processing experiments with neural networks☆63Updated 3 years ago
- ☆33Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆96Updated last year
- Diffusion for climate downscaling☆74Updated last year
- Code for working with the SEVIR weather dataset☆39Updated 3 years ago
- AI Challenges based on the SEVIR weather dataset☆45Updated 4 months ago
- A NWP precipitation bias correction model based on Unet☆19Updated 3 years ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆29Updated 2 years ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆38Updated 7 months ago
- a GAN for precipitation downscaling☆42Updated 3 years ago
- ☆26Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated last month
- ☆21Updated last year
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆90Updated last month
- 2021年统计后处理培训教程.☆18Updated 4 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆19Updated 4 years ago
- Code release to showcase potential usages of TAASRAD19 Dataset☆46Updated 4 years ago
- A MetNet implementation in Pytorch and fastai☆31Updated 4 years ago
- CNN based ENSO all season forecast model☆19Updated last year
- Simulate SEVIRI satellite channels from WRF output☆24Updated last week
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆22Updated 2 weeks ago
- Deep learning approaches for statistical downscaling in climate☆73Updated 3 years ago