carlos-gg / dl4ds
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
☆83Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for dl4ds
- Deep learning approaches for statistical downscaling in climate☆69Updated 2 years ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆47Updated 2 weeks ago
- post-processing experiments with neural networks☆59Updated 2 years ago
- ☆111Updated 3 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- ☆29Updated last year
- Jupyter notebooks for WRF-Hydro trainings☆50Updated 3 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆72Updated last year
- Statistical climate downscaling in Python☆185Updated last month
- ☆38Updated 3 years ago
- Python scripts during my PhD studies (2020 - 2022)☆24Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆12Updated 3 years ago
- A collection of Python scripts for running WRF with the DART data assimilation system☆29Updated last year
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆87Updated 10 months ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆42Updated 3 years ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆46Updated 3 weeks ago
- Python package for accessing and downloading CMIP6 database☆122Updated last year
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆87Updated last year
- A line of code to analyze climate☆31Updated this week
- Parse and read ctl and associated binary file commonly used by GrADS into xarray☆71Updated 3 weeks ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆22Updated last year
- Reach-based river routing model☆44Updated this week
- A commandline utility for converting GeoTIFF files for use in WRF☆50Updated last year
- Python code to assist in familiarizing meteorologists with machine learning☆56Updated last year
- Ruby/Python bindings for CDO☆99Updated 3 months ago
- CaMa-Flood_v4 development master☆77Updated last month
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆72Updated this week
- Scripts of downloading weather data: satellite and reanalysis data☆18Updated last year
- Climate downscaling using CMIP6 data☆178Updated last week