2020
DOI: 10.1186/s40068-020-00165-6
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Trends in extreme temperature and rainfall indices in the semi-arid areas of Western Tigray, Ethiopia

Abstract: Background: Africa is the most vulnerable continent in the world; which recurrent droughts, extreme temperature and rainfall affects agriculture and food security. The aim of this study was to analyze the trends in extreme temperature and rainfall in major sesame producing areas in western Tigray using RClimDex software. We selected eight temperature and nine rainfall indices from 27 extreme temperature and rainfall indices, which are recommended by joint CCL/CLIVAR/JCOMM Expert Team on Climate Change Detectio… Show more

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Cited by 63 publications
(34 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%
“…There are numerous examples of MK trend test applications such as Asfaw et al (2018) who used the MK test for the detection of trends in time series analysis and the result revealed that inter-annual and intra-annual variability of rainfall as well as the severity index value for Palmer drought shows that the trend for the number of drought years was increasing. Another study also employed a non-parametric MK test and Sen's slope estimates to test the trend of each extreme temperature and rainfall indices as well as their statistical significance in the Western Tigray, Ethiopia (Berhane et al 2020). Similarly, the trend analysis of temperature in Gombe state, Nigeria was analyzed using the MK trend test and Sen's estimator to decide the nature of the temperature trend and significance level.…”
Section: Introductionmentioning
confidence: 99%
“…There are various examples of Mann-Kendall trend test applications such as Asfaw et al (2018) who applied Mann-Kendall test to detect the time series trend and the result revealed that intraannual and inter-annual variability of rainfall and Palmer drought severity index value proved the increasing trend of the number of drought years. Berhane et al also employed a non-parametric Mann-Kendall test and Sen's slope estimates to test the statistical significance and trend of each extreme temperature and rainfall indices, respectively (Berhane et al 2020). Similarly, the trend analysis of temperature in Gombe state, Nigeria was analyzed using the Mann-Kendall trend test and Sen's estimator to decide the nature of the temperature trend and significance level.…”
Section: Introductionmentioning
confidence: 99%