DOI: 10.1002/joc.5454
论文题名: Spatiotemporal variations of aridity in Iran using high-resolution gridded data
作者: Araghi A. ; Martinez C.J. ; Adamowski J. ; Olesen J.E.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 6 起始页码: 2701
结束页码: 2717
语种: 英语
英文关键词: aridity
; de Martonne index
; gridded data
; Iran
; Mann–Kendall
Scopus关键词: Precipitation (meteorology)
; Aridity
; De Martonne index
; Gridded data
; Iran
; Mann-Kendall
; Climatology
; air temperature
; aridity
; data set
; humidity
; precipitation (climatology)
; resolution
; spatiotemporal analysis
; trend analysis
; Iran
英文摘要: 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 (IDM), 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 IDM varies throughout the year. Using the Mann–Kendall test showed a negative significant trend in IDM 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. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116898
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran; Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, United States; Department of Bioresource Engineering, Faculty of Agriculture and Environmental Sciences, McGill UniversityQC, Canada; Department of Agroecology, Aarhus University, Tjele, Denmark
Recommended Citation:
Araghi A.,Martinez C.J.,Adamowski J.,et al. Spatiotemporal variations of aridity in Iran using high-resolution gridded data[J]. International Journal of Climatology,2018-01-01,38(6)