anna-allen / convCNPClimateLinks
Implementation of convolutional conditional neural processes for statistical downscaling
☆33Updated 4 years ago
Alternatives and similar repositories for convCNPClimate
Users that are interested in convCNPClimate are comparing it to the libraries listed below
Sorting:
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 8 months ago
- ☆33Updated 2 years ago
- ☆40Updated 3 years ago
- post-processing experiments with neural networks☆62Updated 3 years ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆98Updated 4 months ago
- Diffusion for climate downscaling☆64Updated last year
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆72Updated 4 years ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆30Updated 3 months ago
- ☆26Updated last year
- ☆19Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆93Updated 11 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆91Updated last year
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆93Updated 2 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆86Updated 4 months ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆39Updated last year
- Clean, easier to use version of the downscaling cGAN☆23Updated last year
- A generative foundation model for the kilometer-scale atmosphere☆60Updated 2 weeks ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆16Updated 2 years ago
- ☆30Updated 2 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…☆84Updated 5 months ago
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆27Updated this week
- Deep learning approaches for statistical downscaling in climate☆72Updated 3 years ago
- Uncertainty quantification for data-driven weather models.☆13Updated 3 months ago
- Ai2 Climate Emulator☆105Updated this week
- AtmoRep model code☆46Updated 4 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- ☆28Updated this week
- ☆29Updated last week
- ☆19Updated 2 weeks ago