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Open AccessArticle

Spatio-Temporal Analysis of Droughts in Semi-Arid Regions by Using Meteorological Drought Indices

1
Remote Sensing Unit, Institute of Geography and Geology, University of Wuerzburg, Campus Hubland Nord-86, 97074 Wuerzburg, Germany
2
Institute of Meteorology, University of Natural Resources and Life Sciences Vienna, Peter-Jordan Str. 82, 1190 Vienna, Austria
3
CzechGlobe—Global Change Research Centre, Academy of Sciences of the Czech Republic ASCR, v. v. i., Bělidla 986/4a, 603 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Atmosphere 2013, 4(2), 94-112; https://doi.org/10.3390/atmos4020094
Received: 27 February 2013 / Revised: 25 March 2013 / Accepted: 12 April 2013 / Published: 25 April 2013
(This article belongs to the Special Issue Agrometeorology: From Scientific Analysis to Operational Application)
Six meteorological drought indices including percent of normal (PN), standardized precipitation index (SPI), China-Z index (CZI), modified CZI (MCZI), Z-Score (Z), the aridity index of E. de Martonne (I) are compared and evaluated for assessing spatio-temporal dynamics of droughts in six climatic regions in Iran. Results indicated that by consideration of the advantages and disadvantages of the mentioned drought predictors in Iran, the Z-Score, CZI and MCZI could be used as a good meteorological drought predictor. Depending on the month, the length of drought and climatic conditions of the region, they are an alternative to the SPI that has limitations both because of only a few available long term data series in Iran and its complex structure. View Full-Text
Keywords: drought monitoring; drought index; standardized precipitation index; semi-arid region; Iran drought monitoring; drought index; standardized precipitation index; semi-arid region; Iran
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Shahabfar, A.; Eitzinger, J. Spatio-Temporal Analysis of Droughts in Semi-Arid Regions by Using Meteorological Drought Indices. Atmosphere 2013, 4, 94-112.

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