tjvandal / deepsd
DeepSD Super-resolution for Climate Downscaling in KDD 2017
☆90Updated 2 years ago
Alternatives and similar repositories for deepsd:
Users that are interested in deepsd are comparing it to the libraries listed below
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- Deep learning approaches for statistical downscaling in climate☆70Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆87Updated 6 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆48Updated 2 weeks ago
- ☆111Updated 3 years ago
- Jupyter notebooks for WRF-Hydro trainings☆52Updated 5 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- ☆40Updated 3 years ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Clean, easier to use version of the downscaling cGAN☆23Updated 11 months ago
- ☆30Updated 2 years ago
- a GAN for precipitation downscaling☆39Updated 2 years ago
- ☆28Updated 6 months ago
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆137Updated 9 months ago
- Detection and Attribution framework in python using the Optimal Fingerprinting Approach (Hasselmann, 1993; Ribes et al. 2013)☆45Updated 5 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆33Updated 2 years ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆50Updated 3 months ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆23Updated last year
- post-processing experiments with neural networks☆60Updated 3 years ago
- Statistical climate downscaling in Python☆188Updated 3 months ago
- Python code to assist in familiarizing meteorologists with machine learning☆58Updated last year
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 5 years ago
- Climate downscaling using CMIP6 data☆182Updated 3 weeks ago
- A collection of Python scripts for running WRF with the DART data assimilation system☆29Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- ☆26Updated 7 months ago
- TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale☆43Updated 2 weeks ago
- TATHU is a Python package for tracking and analyzing the life cycle of convective systems.☆27Updated 3 weeks ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆93Updated last year