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Drought-Monitor-And-Prediction

Drought Monitor And Prediction software

Tool Name:

Drought-Monitor-And-Prediction

Tool Version: 1.0

Tool Type: Commercial

Tool Cost In: 299 US$

Tool Target Platform: Windows

Tool OS Support: Win2000,WinXP,Win7 x32,Win7 x64,Windows 8,Windows 10,WinServer,WinOther,WinVista,WinVista x64

Limitations:

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Short Description:
there are three main drought types, namely meteorological, agricultural, and hydrological droughts. The DMAP (Drought Monitor And Prediction) software can calculate different drought indices in three different types of drought

Long Description 1:
The DMAP (Drought Monitor And Prediction) software is a comprehensive tool that can calculate 18 drought indices in three different drought types, namely meteorological drought (SPI, PN, DI, RAI, RDI, ZSI, CZI, MCZI, EDI, KBDI, PDSI, PHDI, SPEI), agricultural drought (ETDI, SMDI, ARI), and hydrological drought (SWSI and SDI). For running this software you can follow these steps one by one.

Long Description 2:
The DMAP (Drought Monitor And Prediction) software is a comprehensive tool that can calculate 18 drought indices in three different drought types, namely meteorological drought (SPI, PN, DI, RAI, RDI, ZSI, CZI, MCZI, EDI, KBDI, PDSI, PHDI, SPEI), agricultural drought (ETDI, SMDI, ARI), and hydrological drought (SWSI and SDI). For running this software you can follow these steps one by one. In the monitor phase in DMAP (Drought Monitor And Prediction) software, through selecting every index, the user can calculating it and then by available graphs (line, columnar, and Boxplot), the user can monitor the happened drought event in various time scale in the study area. In the prediction phase, the user by importing the downscaled outputs of GCMs models in DMAP tool, he/she can calculate every index the he wants for future period. In DMAP the input file can be in different format files, namely csv, xls, xlsx, and also nc (NetCDF). This is a unique characteristic and due to this feature, users can easily import and browse his fie, without any concern. Another benefit of this software is the positioning of data in columns. In this software, the ordering of data in columns is not important, and the software recognizes the location of the data according to the input column header. This feature is not considered in other existing software that compute only a few indexes. So the user is having trouble, in such tools, therefore DMAP solve the problem and the user by selecting the header of each column can easily determine the order of them.