SantanderMetGroup / DeepDownscalingLinks
Deep learning approaches for statistical downscaling in climate
☆71Updated 3 years ago
Alternatives and similar repositories for DeepDownscaling
Users that are interested in DeepDownscaling are comparing it to the libraries listed below
Sorting:
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆94Updated last year
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated 9 months ago
- Jupyter notebooks for WRF-Hydro trainings☆54Updated 4 months ago
- A Python Package for Statistical Analysis of Climate☆63Updated last year
- Python package for accessing and downloading CMIP6 database☆131Updated last year
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆54Updated 8 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆143Updated 3 months ago
- Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospher…☆77Updated last year
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆53Updated 5 months ago
- Python API for the WRF-Hydro model☆61Updated last year
- ☆111Updated 4 years ago
- ☆27Updated last year
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆42Updated 4 years ago
- A line of code to analyze climate☆45Updated 3 weeks ago
- Atmospheric moisture tracking☆54Updated last week
- Python code to assist in familiarizing meteorologists with machine learning☆60Updated 2 years ago
- Maximum Covariance Analysis in xarray for Climate Science☆70Updated 2 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆37Updated 3 years ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆52Updated 4 months ago
- A collection of bias correction techniques written in Python - for climate sciences.☆71Updated last month
- CaMa-Flood_v4 development master☆86Updated last week
- Climate downscaling using CMIP6 data☆194Updated 2 months ago
- post-processing experiments with neural networks☆63Updated 3 years ago
- Python code to compute global teleconnections from rainfall data☆34Updated last year
- A collection of Python scripts for running WRF with the DART data assimilation system☆31Updated 2 years ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆94Updated 3 years ago
- Methods to downscale climate timeseries from CORDEX RCM data.☆10Updated 2 years ago
- TATHU is a Python package for tracking and analyzing the life cycle of convective systems.☆33Updated last month
- ☆34Updated 2 years ago