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Global Drought Classification Dataset(1981–2014)


WU Jianjun1YANG Jianhua1
1 Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China

DOI:10.3974/geodb.2017.04.10.V1

Published:Nov. 2017

Visitors:3873       Data Files Downloaded:571      
Data Downloaded:314.44 MB      Citations:

Key Words:

global,yearly,drought classification,1981-2014,0.5°X0.5°

Abstract:

Based on the 12-month scale standard precipitation evapotranspiration index (SPEI) at December of each year, 5 levels of global drought from 1981-2014 were identified. They are: SPEI>-0.5 no drought; -1.0<SPEI≤-0.5 light drought, -1.5<SPEI≤-1.0moderate drought, -2.0<SPEI≤-1.5 severe drought,SPEI≤-2.0 very severe drought. The Global Drought Classification Dataset(1981–2014)is consisted of the following data files: (1) Yearly spatial data of global drought classification from 1981 to 2014. (2) Yearly proportion of Global Drought classification from 1981 to 2014 based on the 12-month scale SPEI. The data results show that the global light and moderate drought areas decreased from 1981 to 2014; however, as for the areas of severe and very severe drought, there was a downward trend before 2004 and an upward trend since 2004. The dataset is archived in .tif and .xlsx format. The temporal resolution is 1 year and the spatial resolution is 0.5°X 0.5°. The data size is 33.6MB (563KB in compressed file).

Foundation Item:

Ministry of Science and Technology of P. R. China (2016ST0010)

Data Citation:

WU Jianjun, YANG Jianhua.Global Drought Classification Dataset(1981–2014)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2017. https://doi.org/10.3974/geodb.2017.04.10.V1.

Data Product:

ID Data Name Data Size Operation
1 GlobalDrought1981-2014.rar 563.90KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum