Analysis of pervasive precipitation in similar gradient areas of Iran

被引:4
作者
Asakereh, Hossein [1 ]
Darand, Mohammad [2 ]
Doostkamian, Mehdi [1 ]
机构
[1] Univ Zanjan, Dept Geog, Zanjan 3879145371, Iran
[2] Univ Kurdistan, Dept Climatol, Sanandaj 6617715177, Iran
关键词
Similar gradient; Precipitation; Alexanderson index (SNHT); Homogeneity; Iran; RAINFALL TRENDS; EXTREME PRECIPITATION; PATTERNS; REGION;
D O I
10.1007/s12517-018-3873-z
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Precipitation is a major climatic element with high spatial variations. Temporal and spatial variations may differ in large and small scales. It is, therefore, of utmost importance to study areas with similar gradients in terms of precipitation patterns in order to shed light on the complexities of precipitation variations. In the present study, attempts were made to identify areas with similar gradients experiencing the same precipitation pattern over a 50-year period (1964-2013). To this end, data were collected from synoptic stations in Iran in two phases (i.e., 1434 stations in the first phase and 673 stations in the second one). Alexanderson's technique was adopted to examine sudden changes in precipitation patterns. The results showed that five regions with similar gradients could be identified in terms of precipitation patterns: negative and high variations, negative and moderate variations, positive and high variations, positive and moderate variations, and little or no variations. The distribution of such regions indicated that the regions with positive trends experienced more annual variations and had further spatial distribution. Furthermore, the findings revealed that the regions with negative precipitation patterns experienced more sudden changes in comparison with those with positive precipitation patterns. Additionally, more variations were observed in the precipitation patterns in recent years.
引用
收藏
页数:9
相关论文
共 48 条
  • [1] Urban and peri-urban precipitation and air temperature trends in mega cities of the world using multiple trend analysis methods
    Ajaaj, Aws A.
    Mishra, Ashok K.
    Khan, Abdul A.
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 132 (1-2) : 403 - 418
  • [2] Akinremi OO, 2001, J CLIMATE, V14, P2177, DOI 10.1175/1520-0442(2001)014<2177:SASPOR>2.0.CO
  • [3] 2
  • [4] Albert P, 2004, J CLIMATOL, V24, P1001, DOI [10.1002/joc.1036, DOI 10.1002/JOC.1036]
  • [5] Alexandersson H., 1995, Proceedings of the 6th International Meeting on Statistical Climatology, P439
  • [6] Asakereh H., 2014, IRAN WATER RESOUR RE, V10, P72
  • [7] Asakereh H., 2007, GEOGR DEV, V10, P145
  • [8] Asakereh H, 2017, GEOGR DEV, V41, P149
  • [9] Brunetti M, 2000, INT J CLIMATOL, V20, P1017, DOI 10.1002/1097-0088(200007)20:9<1017::AID-JOC515>3.0.CO
  • [10] 2-S