raspstephan / nwp-downscale
☆40Updated 3 years ago
Alternatives and similar repositories for nwp-downscale:
Users that are interested in nwp-downscale are comparing it to the libraries listed below
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- Clean, easier to use version of the downscaling cGAN☆23Updated 11 months ago
- ☆30Updated 2 years ago
- Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases☆11Updated 2 years ago
- Diffusion for climate downscaling☆47Updated 7 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- ☆21Updated 7 months ago
- post-processing experiments with neural networks☆60Updated 3 years ago
- ☆18Updated 10 months ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆18Updated 7 months ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆16Updated 3 months ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆23Updated last year
- A NWP precipitation bias correction model based on Unet☆18Updated 2 years ago
- AI Challenges based on the SEVIR weather dataset☆42Updated 3 years ago
- 2021年统计后处理培训教程.☆18Updated 3 years ago
- Simulate SEVIRI satellite channels from WRF output☆17Updated last month
- ☆25Updated 2 years ago
- Code for working with the SEVIR weather dataset☆28Updated 2 years ago
- Deep learning approaches for statistical downscaling in climate☆70Updated 2 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆93Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆87Updated 6 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆90Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 3 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆79Updated last year
- Python code to assist in familiarizing meteorologists with machine learning☆58Updated last year
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆24Updated 2 years ago
- Awesome paper about AI for atmosphere science and oceanography☆27Updated last year