neuralchen / RainNet
[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
☆57Updated 8 months ago
Alternatives and similar repositories for RainNet
Users that are interested in RainNet are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of paper "REMNet: Recurrent Evolution Memory-aware Network for Accurate Long-term Weather Radar Echo Extrapolation…☆11Updated last year
- Code for working with the SEVIR weather dataset☆32Updated 3 years ago
- ☆40Updated 3 years ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- AI Challenges based on the SEVIR weather dataset☆42Updated 4 years ago
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆16Updated 3 weeks ago
- Diffusion Probabilistic Downscaling Model☆23Updated 10 months ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆22Updated 11 months ago
- Diffusion for climate downscaling☆59Updated 10 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆70Updated 3 years ago
- ☆26Updated 2 years ago
- The code of "MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data" accepted by AAAI2023.☆15Updated last year
- [ECCV 2024] Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model☆34Updated 6 months ago
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆25Updated 3 years ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆36Updated 11 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆97Updated 2 months ago
- Deep learning for multi-year ENSO forecasts Reproduction☆51Updated 9 months ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆38Updated last year
- Uses machine learning to predict convective initiation and decay from satellite data.☆24Updated last year
- ☆24Updated last year
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- Code relative to the publication "Precipitation nowcasting with generative diffusion models"☆31Updated last year
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆19Updated 2 years ago
- ☆17Updated last year
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆91Updated 9 months ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆83Updated 3 months ago
- Skilful precipitation nowcasting using deep generative models of radar☆35Updated 3 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year