2020
DOI: 10.1007/s00704-020-03112-8
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Trend of extreme precipitation indices and analysis of long-term climate variability in the Upper Awash basin, Ethiopia

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Cited by 55 publications
(21 citation statements)
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“…They have been used to investigate and monitor global changes in extreme events with observational data [9,10,13,14], with projected future data [2,11,[15][16][17] or to evaluate model performance [12,18]. The indices also enable regional analyses of extreme event changes therefore model performance evaluated also regionally [19] and the regional changes in temperature and precipitation extreme events have been assessed for many parts of the world during the recent decades, such as in Australia [20], North America [21,22], the United States [23], the Mediterranean Basin [24], countries of Western Indian Ocean [25], the Arab Region [26], China [5,27,28], Iran [29], Egypt [30], Central and South Asia [31], East Asia [32], Ethiopia [33][34][35], Saudi Arabia [36]. Various detection and attribution studies also used indices [37][38][39].…”
Section: Introductionmentioning
confidence: 99%
“…They have been used to investigate and monitor global changes in extreme events with observational data [9,10,13,14], with projected future data [2,11,[15][16][17] or to evaluate model performance [12,18]. The indices also enable regional analyses of extreme event changes therefore model performance evaluated also regionally [19] and the regional changes in temperature and precipitation extreme events have been assessed for many parts of the world during the recent decades, such as in Australia [20], North America [21,22], the United States [23], the Mediterranean Basin [24], countries of Western Indian Ocean [25], the Arab Region [26], China [5,27,28], Iran [29], Egypt [30], Central and South Asia [31], East Asia [32], Ethiopia [33][34][35], Saudi Arabia [36]. Various detection and attribution studies also used indices [37][38][39].…”
Section: Introductionmentioning
confidence: 99%
“…The PCI ( Oliver, 1980 ) was adopted to quantify rainfall distribution and its heterogeneity pattern. Recently, this index is widely used ( de Luis et al., 2011 ; Ademe et al., 2020 ; Guo et al., 2020 ; Shawul and Chakma, 2020 ). Michiels et al.…”
Section: Methodsmentioning
confidence: 99%
“…The distribution of meteorological stations is shown in Figure 1. Considering the local climate in the SXC urban agglomeration, six extreme precipitation indices (Table 1) were calculated from daily precipitation data during 1980-2015 [33,34]. Specifically, CDD and CWD denote the duration indices; PRCPTOT denotes the total precipitation, and other indices denote the precipitation intensity.…”
Section: Datasetsmentioning
confidence: 99%