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 …
☆35Updated 2 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.☆26Updated 2 years ago
- Jupyter notebooks for WRF-Hydro trainings☆54Updated 3 weeks ago
- Training materials for the VIC hydrologic model setup developed for the @SERVIR program☆38Updated 5 years ago
- run theory to characterize drought indices☆20Updated 4 years ago
- A Google AppEngine application using Google Earth Engine to monitor suspended sediment concentration in the Lower Mekong Basin.☆11Updated 6 years ago
- Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.☆19Updated 3 years ago
- MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps. It is lice…☆38Updated 9 months ago
- ☆27Updated 11 months ago
- global automatic rapid watershed delineation☆35Updated 3 years ago
- Software for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded …☆31Updated last month
- ☆35Updated 2 years ago
- Utrecht atmospheric moisture tracking model☆28Updated 3 years ago
- Toolbox for Streamflow Signatures in Hydrology (TOSSH)☆31Updated 2 months ago
- Short course on interactive analysis of Big Earth Data with Jupyter Notebooks☆31Updated 6 years ago
- ☆15Updated 4 years ago
- A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.☆83Updated 3 weeks ago
- ☆38Updated last month
- Python module for partitioning eddy covariance flux measurements.☆32Updated last year
- Functions and Python scripts to ingest ERA5 data into Google Earth Engine☆88Updated 3 years ago
- Jupyter Notebooks demonstrating basic wrf-python usage.☆13Updated 3 years ago
- Spatial Processes in HYdrology hydrological model☆51Updated 4 months ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆31Updated 6 months ago
- Comparison of weather station and gridded climate datasets☆20Updated 4 months ago
- 2024 SWOT Early Career Researcher Workshop using Binder☆13Updated 9 months ago
- Catchment Attributes and Meteorology for Large-sample Studies☆33Updated last year
- CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at glo…☆4Updated 4 years ago
- Energy Balance Closure Analysis and Eddy Flux Data Post-Processing☆30Updated last month
- A script to calculate heatwaves from AWAP☆32Updated last year
- Examples of analysis of CMIP6 data using xarray and dask☆53Updated 5 years ago
- ☆20Updated 4 years ago