GSTDTAP  > 气候变化
DOI10.1002/joc.5454
Spatiotemporal variations of aridity in Iran using high-resolution gridded data
Araghi, Alireza1; Martinez, Christopher J.2; Adamowski, Jan3; Olesen, Jorgen E.4
2018-05-01
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2018
卷号38期号:6页码:2701-2717
文章类型Article
语种英语
国家Iran; USA; Canada; Denmark
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 (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 degrees x0.5 degrees) 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.


英文关键词aridity de Martonne index Mann-Kendall gridded data Iran
领域气候变化
收录类别SCI-E
WOS记录号WOS:000437834500007
WOS关键词TEMPERATURE TRENDS ; TEMPORAL VARIABILITY ; SPATIAL-DISTRIBUTION ; DAILY PRECIPITATION ; CLIMATE INDEXES ; TURKEY ; GREECE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/37297
专题气候变化
作者单位1.Ferdowsi Univ Mashhad, Dept Water Engn, Fac Agr, Azadi Sq, Mashhad, Iran;
2.Univ Florida, Inst Food & Agr Sci, Dept Agr & Biol Engn, Gainesville, FL 32611 USA;
3.McGill Univ, Dept Bioresource Engn, Fac Agr & Environm Sci, Quebec City, PQ, Canada;
4.Aarhus Univ, Dept Agroecol, Tjele, Denmark
推荐引用方式
GB/T 7714
Araghi, Alireza,Martinez, Christopher J.,Adamowski, Jan,et al. Spatiotemporal variations of aridity in Iran using high-resolution gridded data[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(6):2701-2717.
APA Araghi, Alireza,Martinez, Christopher J.,Adamowski, Jan,&Olesen, Jorgen E..(2018).Spatiotemporal variations of aridity in Iran using high-resolution gridded data.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(6),2701-2717.
MLA Araghi, Alireza,et al."Spatiotemporal variations of aridity in Iran using high-resolution gridded data".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.6(2018):2701-2717.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Araghi, Alireza]的文章
[Martinez, Christopher J.]的文章
[Adamowski, Jan]的文章
百度学术
百度学术中相似的文章
[Araghi, Alireza]的文章
[Martinez, Christopher J.]的文章
[Adamowski, Jan]的文章
必应学术
必应学术中相似的文章
[Araghi, Alireza]的文章
[Martinez, Christopher J.]的文章
[Adamowski, Jan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。