nram812 / A-Robust-Generative-Adversarial-Network-Approach-for-Climate-DownscalingLinks
Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"
☆11Updated 10 months ago
Alternatives and similar repositories for A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling
Users that are interested in A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling are comparing it to the libraries listed below
Sorting:
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- codes for reproducing the results presented in the manuscript by Xia et al.☆10Updated 3 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Code used to identify and analyze drought clusters from gridded data.☆26Updated 2 years ago
- ☆18Updated 4 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon☆15Updated 5 years ago
- ☆11Updated 3 years ago
- PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño☆12Updated 3 years ago
- A Python package of algorithms and metrics used to characterise and identify jet streams, based on xarray.☆26Updated 2 weeks ago
- Notes and practicals for my "Physics of the Climate System" lecture☆27Updated 11 months ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 3 years ago
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆28Updated 2 years ago
- Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …☆13Updated 5 years ago
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆21Updated 9 months ago
- TROVA: TRansport Of water VApor☆11Updated 3 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆14Updated 2 years ago
- An open, reproducible and transferable workflow to assess and anticipate climate extremes beyond the observed record☆18Updated last year
- Predicting weather by machine learning.☆14Updated 5 years ago
- Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.☆16Updated 3 weeks ago
- diagnostic analyses and calculations in contour-based coordinates☆18Updated 10 months ago
- Python code to manage ERA5 downloads at NCI☆33Updated 4 years ago
- Python code to create the Observational Large Ensemble.☆11Updated 2 years ago
- spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation☆15Updated last week
- A Python library for fitting streamflow rating curves.☆20Updated last year
- Examples of CMIP6 cloud data analysis with Pangeo☆24Updated last year
- Jupyter Notebooks demonstrating basic wrf-python usage.☆14Updated 3 years ago
- Downscaling Oceanographic Satellite Data with Convolutional Neural Networks☆21Updated 4 years ago
- Examples of analysis of Google Cloud CMIP6 data using Pangeo tools☆14Updated last week
- Coelho, G. de A. et al. (2022) Potential Impacts of Future Extreme Precipitation Changes on Flood Engineering Design across the Contiguou…☆11Updated 3 years ago