Innovative Trend Analysis of Annual and Seasonal Rainfall Variability in Amhara Regional State, Ethiopia
By M. Gedefaw, Denghua Yan, Hao Wang, T. Qin, A. Girma, Asaminew Abiyu, Dorjsuren Batsuren. Atmosphere, 2018
152 citations recorded by the source corpus.
This study investigated the annual and seasonal rainfall variability at five selected stations of Amhara Regional State, by using the innovative trend analysis method (ITAM), Mann-Kendall (MK) and Sen’s slope estimator test. The result showed that the trend of annual rainfall was increasing in Gondar (Z = 1.69), Motta (Z = 0.93), and Bahir Dar (Z = 0.07) stations. However, the trends in Dangla (Z = −0.37) and Adet (Z = −0.32) stations showed a decreasing trend. As far as monthly and seasonal variability of rainfall are concerned, all the stations exhibited sensitivity of change. The trend of rainfall in May, June, July, August, and September was increasing. However, the trend on the rest of other months showed a decreasing trend. The increase in rainfall during Kiremt season, along with the decrease in number of rainy days, leads to an increase of extreme rainfall events over the region during 1980–2016. The consistency in rainfall trends over the study region confirms the robustness of the change in trends. Innovative trend analysis method is very crucial method for detecting the trends in rainfall time series data due to its potential to present the results in graphical format as well. The findings of this paper could help researchers to understand the annual and seasonal variability of rainfall over the study region and become a foundation for further studies.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/13118fdbb4bdcd3bd6b9655e566adb8fd990f9f9
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In Atmospheric Science
- Shahfahad
- Abu Reza Md. Towfiqul Islam
- Bushra Praveen
- Susanta Mahato
- Atiqur Rahman
- Jayanta Mondal
- Pritee Sharma
- Swapan Talukdar
In Global and Planetary Change
- Shahfahad
- Abu Reza Md. Towfiqul Islam
- Bushra Praveen
- Susanta Mahato
- Atiqur Rahman
- Jayanta Mondal
- Pritee Sharma
- Swapan Talukdar
Citations in the corpus
- Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches (2020, background): “Therefore, researchers prefer the innovative trend analysis for detecting trend in hydrological, meteorological studies 18,44,55,64,65 .”