Pure and Applied Geophysics, Volume (179), No (8), Year (2022-8) , Pages (2923-2944)

Title : ( Spatiotemporal Variability, Trend, and Change-Point of Precipitation Extremes and Their Contribution to the Total Precipitation in Iran )

Authors: Azar Zarrin , ,

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Abstract

The present study analyzes the observed extreme precipitation based on the daily precipitation records of 49 ground stations across Iran from 1980 to 2019. The present study aims to investigate the frequency, intensity, and trend of precipitation extremes in different climate zones. We computed the new extreme precipitation indices (EPI) recommended by the Expert Team on Sector–Specific Climate Indices (ET-SCI) and used two nonparametric tests, the modified Mann–Kendall (MM–K) test and Sen slope estimator (SSE), to identify the trend magnitude. Also, we applied the Buishand test for detecting the potential change-point of EPIs in Iran. The results showed that the consecutive wet days (CWD) are decreasing at 73.47% of the stations in Iran. The annual sum of precipitation in wet days (PRCPTOT) index in 87.76% of Iran showed a decreasing trend, indicating severe drought conditions in Iran. The simple daily intensity index (SDII) in 71.42% (30.23% at the level of 0.05 significance) has an increasing trend. The heavy precipitation index (R10mm) showed a decreasing trend in all zones. The most frequent change-point of extreme precipitation occurred in 1997 and 1998 on Iran’s west, southeast, and southern coasts. Increasing the intensity of precipitation along with decreasing in precipitation frequency has caused the increased contribution of extreme precipitation to the total annual precipitation in Iran.

Keywords

, Climate extremes trend analysis ET, SCI Indices change, point detection (CPD) Iran
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@article{paperid:1090614,
author = {Zarrin, Azar and , },
title = {Spatiotemporal Variability, Trend, and Change-Point of Precipitation Extremes and Their Contribution to the Total Precipitation in Iran},
journal = {Pure and Applied Geophysics},
year = {2022},
volume = {179},
number = {8},
month = {August},
issn = {0033-4553},
pages = {2923--2944},
numpages = {21},
keywords = {Climate extremes trend analysis ET-SCI Indices change-point detection (CPD) Iran},
}

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%0 Journal Article
%T Spatiotemporal Variability, Trend, and Change-Point of Precipitation Extremes and Their Contribution to the Total Precipitation in Iran
%A Zarrin, Azar
%A ,
%J Pure and Applied Geophysics
%@ 0033-4553
%D 2022

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