royalosyin / Calculate-Precipitation-based-Agricultural-Drought-Indices-with-PythonLinks
Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z …
☆37Updated 3 years ago
Alternatives and similar repositories for Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python
Users that are interested in Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python are comparing it to the libraries listed below
Sorting:
- Code used to identify and analyze drought clusters from gridded data.☆25Updated 3 years ago
- ☆35Updated 2 years ago
- ☆26Updated last year
- ☆21Updated 2 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆38Updated 3 years ago
- Software for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded …☆32Updated 8 months ago
- Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.☆19Updated 3 years ago
- An open, reproducible and transferable workflow to assess and anticipate climate extremes beyond the observed record☆18Updated last year
- A python jupyter notebook with a GUI using ipywidgets and the geemap python package for interactive surface water mapping using Google Ea…☆34Updated 3 months ago
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 6 years ago
- Jupyter Notebooks demonstrating basic wrf-python usage.☆15Updated 4 years ago
- Jupyter notebooks for WRF-Hydro trainings☆55Updated 7 months ago
- An introduction to netcdf files in R, python, and matlab☆31Updated 9 years ago
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆74Updated 5 years ago
- Climate Analysis Tool written in python☆28Updated 2 years ago
- Functions and Python scripts to ingest ERA5 data into Google Earth Engine☆89Updated 4 years ago
- run theory to characterize drought indices☆21Updated 4 years ago
- Utrecht atmospheric moisture tracking model☆34Updated 4 years ago
- Model to calculate various drought indices from precipitation/temperature data☆12Updated 4 years ago
- A collection of bias correction techniques written in Python - for climate sciences.☆76Updated last month
- Bias Correction for Satellite Precipitation Observations☆13Updated 7 years ago
- Short course on interactive analysis of Big Earth Data with Jupyter Notebooks☆31Updated 6 years ago
- A python course intended to provide a thorough grounding for those working in the earth sciences☆37Updated 8 years ago
- ☆39Updated 2 months ago
- MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps. It is lice…☆39Updated last year
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated last year
- Notebooks that use Google Earth Engine and CUAHSI to teach and develop remote sensing projects☆31Updated 7 months ago
- HydroAnalysis is a Python package to calculate indices and metrics useful in the everyday job of an hydrologist.☆11Updated 9 months ago
- Quick tutorial to evaluate Rainfall for a given Return Period with different probabilistic distributions implemented on Scipy☆25Updated 8 years ago
- Training materials for the VIC hydrologic model setup developed for the @SERVIR program☆40Updated 5 years ago