alexa Precipitation and Temperature Trend Analysis in Mekelle
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Research Article

Precipitation and Temperature Trend Analysis in Mekelle city, Northern Ethiopia, the Case of Illala Meteorological Station

Awetahegn Niguse Beyene*
Tigray Agricultural Research Institute, Mekelle Agricultural Research Center, Ethiopia
*Corresponding Author : Awetahegn Niguse Beyene
Tigray Agricultural Research Institute
Mekelle Agricultural Research Center, Ethiopia
Tel: 0921319065
E-mail: [email protected]
Received December 02, 2015; Accepted January 21, 2016; Published January 24, 2016
Citation: Beyene AN (2016) Precipitation and Temperature Trend Analysis in Mekelle city, Northern Ethiopia, the Case of Illala Meteorological Station. 7:324. doi:10.4172/2157-7617.1000324
Copyright: © 2016 Beyene AN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Climate change has a significant impact on the environment as well as the social, economic. Tigray is one of the sensitive regions to climate variation particularly to precipitation and rainfall changes. In this study, we analysis trends in precipitation and temperature at annual, seasonal and monthly time scales for the periods of 1995-2014 for the Illala station which is located in Mekelle Agricultural research center, Tigray region. Instat+ software were used for analyzing the statistics as well as the excel spreadsheet and we were use the Non-parametric tests (such as Mann- Kendall and Sen’s Slope), linear regression, cumulative deviation curve techniques were used to determine climatic trends. The mean minimum temperature ranges between 10.2°C and 12.6°C, while, the mean maximum temperature varies between 22.3°C and 26.7°C From the analysis the monthly coefficient of variation (CV%) for both maximum and minimum temperature ranging from (6.9% in Oct) to (18.7% in Dec) for the average monthly rainfall ranging from 4.9% to 26% of coefficient of variation. from the analysis we were found that the monthly trend of precipitation which were May, June and July have an decreasing trend. While the both maximum and minimum temperature were found on the months of June, September and December the climate trend results showed that there is no negative or positive statistically significant trend in the study area, despite of slight precipitation decrease in the area. The period of 1995-2014. Which are not statistically significant annually and seasonally temperature data showed slight increase annually even though results are not statistically significant during the period of 1995-2014.


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