panbaoxiang / RADALinks
Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases
☆11Updated 3 years ago
Alternatives and similar repositories for RADA
Users that are interested in RADA are comparing it to the libraries listed below
Sorting:
- ☆41Updated 4 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- post-processing experiments with neural networks☆63Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆38Updated 2 years ago
- The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.☆161Updated 5 years ago
- 2021年统计后处理培训教程.☆18Updated 4 years ago
- ☆21Updated last year
- Core packages for Anemoi.☆105Updated this week
- A Python Package for Statistical Analysis of Climate☆64Updated this week
- This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.☆58Updated 3 months ago
- ☆37Updated 7 months ago
- Clean, easier to use version of the downscaling cGAN☆25Updated last year
- Weather Research and Forecasting (WRF) model with moisture tracers☆34Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆98Updated last year
- Simulate satellite images from WRF and MPAS model output☆26Updated 2 months ago
- ☆35Updated 3 years ago
- Diffusion for climate downscaling☆83Updated last year
- Inference of Machine Learning weather forecasting models☆33Updated last week
- ☆45Updated last year
- ☆39Updated 4 years ago
- public codes for fusing CNN networks☆23Updated 6 years ago
- A NWP precipitation bias correction model based on Unet☆19Updated 3 years ago
- Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …☆71Updated last year
- Uses machine learning to predict convective initiation and decay from satellite data.☆27Updated 2 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆34Updated 4 years ago
- CNN based ENSO all season forecast model