ECMWFCode4Earth / DeepRLinks
DeepR: Deep Reanalysis
☆30Updated 2 years ago
Alternatives and similar repositories for DeepR
Users that are interested in DeepR are comparing it to the libraries listed below
Sorting:
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆93Updated 9 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆104Updated 9 months ago
- ☆40Updated 4 years ago
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆47Updated 2 months ago
- Clean, easier to use version of the downscaling cGAN☆25Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆97Updated last year
- Deep learning approaches for statistical downscaling in climate☆73Updated 3 years ago
- Diffusion for climate downscaling☆75Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆18Updated this week
- ☆35Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆19Updated 4 years ago
- Ai2 Climate Emulator☆148Updated last month
- A Python package for Earth forecasting transformer☆90Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆41Updated last year
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆27Updated last year
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆12Updated last year
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆15Updated 2 years ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆91Updated last month
- Code for CLIMEA-BCUD☆12Updated 2 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive☆71Updated this week
- ☆33Updated this week
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆31Updated last year
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆38Updated 3 years ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆40Updated 8 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- ☆13Updated last week
- Generating Weather Model Ensembles Using ecmwf-lab/ai-models☆14Updated last month