2023
DOI: 10.3390/cli11080164
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Trends in Extreme Precipitation Indices in Northwest Ethiopia: Comparative Analysis Using the Mann–Kendall and Innovative Trend Analysis Methods

Aimro Likinaw,
Arragaw Alemayehu,
Woldeamlak Bewket

Abstract: This study analyzed long-term extreme precipitation indices using 4 × 4 km gridded data obtained from the National Meteorological Agency of Ethiopia between 1981 and 2018. The study examined trends in extreme precipitation over three districts (Lay Gayint, Tach Gayint, and Simada) in the northwestern highlands of Ethiopia. Innovative Trend Analysis (ITA) and Mann–Kendall (MK) trend tests were used to study extreme precipitation trends. Based on the ITA result, the calculated values of nine indices (90% of the … Show more

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Cited by 8 publications
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“…Although ITA and the MK tests may result in similar trends, the ITA test outperforms the MK trend test because it does not have preconditions; the MK test has preconditions such as distribution type, size of dataset, and existence or non-existence of serial autocorrelation (Seenu & Jayakumar, 2021). Other studies conducted in Ethiopia reported that the ITA test can identify various significant trends not detected by the MK test (Likinaw et al, 2023) and was preferred to the MK test (Gedefaw, 2023). This study resulted in similar trend values for f = 73 and f = 80.08 with Eq.…”
Section: Historical Trendmentioning
confidence: 99%
“…Although ITA and the MK tests may result in similar trends, the ITA test outperforms the MK trend test because it does not have preconditions; the MK test has preconditions such as distribution type, size of dataset, and existence or non-existence of serial autocorrelation (Seenu & Jayakumar, 2021). Other studies conducted in Ethiopia reported that the ITA test can identify various significant trends not detected by the MK test (Likinaw et al, 2023) and was preferred to the MK test (Gedefaw, 2023). This study resulted in similar trend values for f = 73 and f = 80.08 with Eq.…”
Section: Historical Trendmentioning
confidence: 99%