taohan10200 / CRA5
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
☆46Updated 4 months ago
Alternatives and similar repositories for CRA5:
Users that are interested in CRA5 are comparing it to the libraries listed below
- Diffusion for climate downscaling☆50Updated 7 months ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆32Updated 9 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆94Updated last year
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- ☆40Updated 3 years ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆137Updated this week
- ☆95Updated 4 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆80Updated last year
- ☆48Updated 9 months ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆16Updated 4 months ago
- Ai2 Climate Emulator☆81Updated last week
- ☆24Updated 11 months ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆36Updated 9 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆91Updated last year
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆62Updated 9 months ago
- Awesome paper about AI for atmosphere science and oceanography☆29Updated last year
- Diffusion Probabilistic Downscaling Model☆21Updated 7 months ago
- A cascade machine learning forecasting system for 15-day global weather forecast☆106Updated last year
- An implementation of "metnet3" in Pytorch☆38Updated 3 weeks ago
- ☆114Updated last month
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆81Updated 2 weeks ago
- ☆37Updated last month
- A collection of research papers on Diffusion Models for Weather Forecasting.☆98Updated 3 weeks ago
- A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…☆27Updated this week
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"☆113Updated 4 months ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆88Updated 6 months ago
- ☆44Updated this week
- Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…☆214Updated 2 months ago