Abstract

The rainfall variability and trends over North Shewa investigated using gauge as well as gridded rainfall data from 1985 to 2018. The variability of rainfall in both annual and seasonal scales were evaluated using coefficient of variation (CV), standardized rainfall anomaly, precipitation concentration index (PCI), and standardized precipitation index. Mann-Kendall test and Sen’s slope estimator were used to assess the rainfall trends. The rainfall in North Shewa was found to be highly variable both in space and time; i.e., irregular rainfall distribution was observed (PCI = 20%).

Highlights

  • Rainfall is one of the most important climate elements for agricultural production throughout the world [1]

  • In this study, detailed analysis of the temporal and spatial characteristics of rainfall using rainfall data obtained from the National Meteorological Agency of Ethiopia for 34 years (19852018) is presented

  • The data used is a combination of gauge and gridded rainfall data which is believed to be more reliable than using lonely satellite rainfall data

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Summary

Introduction

Rainfall is one of the most important climate elements for agricultural production throughout the world [1]. It is the most important climate element for rainfed agriculture and the general socio-economic development of Ethiopia [2]. Rainfall variability affects water resources sustainability which includes the availability, management, and utilization of water resources. When the uneven distribution of rainfall results in a mismatch between water availability and demand, irrigation structures are required to redistribute water concerning the requirements of a specific region [4]. For ecosystem resilience and sustainable agricultural activities, accurate estimation of the spatial and temporal distribution of rainfall is crucial, for rain-fed agriculture [5,6]

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