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Journal Article

Spatiotemporal variations of aridity in Iran using high‐resolution gridded data

Alireza Araghi; Christopher J. Martinez; Jan Adamowski; Jørgen E. Olesen
International Journal of Climatology · Vol. 38, Issue 6 · pp. 2701-2717 · 2018

Abstract

Aridity is a permanent feature of climate based on long‐term climatic conditions over a region. Climatic indices are reliable tools to explore climate type, and climatologists have proposed various indices to classify climate and investigate the aridity or humidity in any region. In this study, we examined spatiotemporal variations of aridity in Iran during the last six decades from 1954 to 2013, using the de Martonne aridity index ( I DM ), which is calculated based on precipitation and temperature. Data used in this study were extracted from the Global Precipitation Climatology Centre and the University of Delaware gridded data sets, respectively. Both data sets have global high‐resolution (0.5° × 0.5°) coverage, and temporally span more than a century of data (from 1901). According to the data obtained from these data sets, more than 80% of Iran has an arid and semi‐arid climate (annually), although the spatial pattern of I DM varies throughout the year. Using the Mann–Kendall test showed a negative significant trend in I DM in 20% of Iran's total area in spring, and less than 7% in the other seasons of the year. Overall, it can be concluded that there were no significant trends in aridity for most parts of Iran during the last six decades.

Bibliographic Information

JournalInternational Journal of Climatology
PublisherWiley
Publication Date2018-05-01
Publication Year2018
Volume38
Issue6
Pages2701-2717
Document TypeJournal Article
Print ISSN0899-8418
eISSN1097-0088
DOI10.1002/joc.5454
SubjectAtmospheric Sciences

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NARA Access Coverage1996-01-01~Current
Journal Homepagehttps://rmets.onlinelibrary.wiley.com/loi/10970088
Publisher PageOpen Publisher Page
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