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Do you know a drought analysis software?

Drought is one of the most severe and extreme weather events affecting more people than any other form of natural disaster (e.g. Wilhite, 2000). As we know for monitoring drought event and drought analysis we should use the related drought indices by drought analysis software. In the scientific literature four types of droughts are commonly distinguished: meteorological or climatological, hydrological, agricultural, and socioeconomic (e.g. Rasmussen et al., 1993, Wilhite and Glantz, 1985).

For drought monitoring, various drought indices have been developed to describe the intensity of a drought, including SPI (Standardized Precipitation Index), PNI (Percent of Normal Index) (Willeke et al., 1994), DI (Deciles Index), EDI (Effective Drought Index) (Byun and Wilhite, 1999), CZI (China-Z index), MCZI (modified CZI), RAI (Rainfall Anomaly Index) and ZSI (Z-Score Index). Drought indices are calculated by a combination of climatic and meteorological variables, among which precipitation is the most important in defining the magnitude and intensity of a drought (Alley, 1984; Chang and Kleopa, 1991; Salehnia et al., 2017).

So, if you want to calculate different drought indices you need to apply a proper and simple tool as a drought analysis software. If you search in the net you can find out that there are different R packages and Matlab codes to compute some of drought indices, most of them are not easy to apply and run as a drought analysis software. However, we want to introduce four different user-friendly software tools that you can prepare them from www.agrimetsoft.com, in this website you can see all the mentioned tools as a drought analysis software.

  1. The first and comprehensive one is: DMAP (Drought Monitor And Prediction)
  2. The second applicable software tool is: MDM (Meteorological Drought Monitor)
  3. The third wonderful drought tool is: RDIT (Rain-based Drought Indices Tool) software.
  4. The fourth useful drought is: KBDIS (Keetch-Byram Drought Index) Software
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