jleinonen / downscaling-rnn-ganLinks
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
☆73Updated 4 years ago
Alternatives and similar repositories for downscaling-rnn-gan
Users that are interested in downscaling-rnn-gan are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆91Updated 2 years ago
- Diffusion for climate downscaling☆72Updated last year
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- ☆33Updated 2 years ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆25Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆95Updated last year
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆101Updated 8 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- a GAN for precipitation downscaling☆42Updated 3 years ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 3 years ago
- post-processing experiments with neural networks☆63Updated 3 years ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆96Updated 3 years ago
- Code release to showcase potential usages of TAASRAD19 Dataset☆47Updated 4 years ago
- Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases☆11Updated 3 years ago
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆87Updated 5 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆89Updated 8 months ago
- ☆21Updated last year
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆89Updated last week
- AI Challenges based on the SEVIR weather dataset☆45Updated 4 months ago
- A NWP precipitation bias correction model based on Unet☆19Updated 3 years ago
- ☆34Updated 3 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆29Updated 2 years ago
- ☆26Updated last year
- 2021年统计后处理培训教程.☆18Updated 4 years ago
- A collection of Python scripts for running WRF with the DART data assimilation system☆31Updated 2 years ago
- The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.☆160Updated 5 years ago
- Code for working with the SEVIR weather dataset☆37Updated 3 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago