paulaharder / constrained-downscalingLinks
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
☆14Updated 2 years ago
Alternatives and similar repositories for constrained-downscaling
Users that are interested in constrained-downscaling are comparing it to the libraries listed below
Sorting:
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆11Updated 10 months ago
- ☆33Updated 2 years ago
- ☆25Updated 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
- ☆26Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Clean, easier to use version of the downscaling cGAN☆23Updated last year
- Generalized Analog Regression Downscaling (GARD) code☆34Updated last year
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆21Updated 9 months ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆14Updated 4 months ago
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- R&D Python package for processing ICON data with xarray☆10Updated last year
- Code for Sonnewald and Lguensat 2021☆23Updated 2 years ago
- Code used to identify and analyze drought clusters from gridded data.☆26Updated 2 years ago
- Predicting weather by machine learning.☆14Updated 5 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated 7 months ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 3 years ago
- Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.☆16Updated 3 weeks ago
- DeepR: Deep Reanalysis☆25Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 9 months ago
- A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data☆13Updated 3 years ago
- Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon☆15Updated 5 years ago
- diagnostic analyses and calculations in contour-based coordinates☆18Updated 10 months ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆13Updated 2 weeks ago
- Hybrid Hydrological modeling using Deep Learning methods☆22Updated 6 months ago
- Climate Analysis Tool written in python☆28Updated 2 years ago
- Python line-by-line radiative transfer model☆11Updated last year