A client-side dashboard for deriving nonparametric standardized drought indices from station and gridded datasets.
The Standardized Drought Analysis Toolbox offers a generalized framework for deriving statistically comparable drought indicators without forcing a parametric distribution fit. It can be applied to precipitation, soil moisture, relative humidity, runoff, streamflow, groundwater level, surface water supply, and water storage data.
Projects keep your run history, restored results, station map, and CSV downloads together.
Select the indicator name that matches your input variable; the dashboard keeps the SDAT computation framework consistent.
Download the SDAT source package and compare the dashboard output with the original toolbox.
Click Here to Download SDAT Source CodeHao Z., AghaKouchak A., Nakhjiri N., Farahmand A., 2014, Global Integrated Drought Monitoring and Prediction System, Scientific Data, 1:140001, 1-10, doi: 10.1038/sdata.2014.1. pdf
Farahmand A., AghaKouchak A., 2015, A Generalized Framework for Deriving Nonparametric Standardized Drought Indicators, Advances in Water Resources, 76, 140-145, doi: 10.1016/j.advwatres.2014.11.012. pdf
Open a saved project or create a fresh workspace for a new dataset.