Abstract

Ethiopia composes diversified topographic structures; undulated plateaus and mountains, raged valleys and plains. The highlands and ever-green portions of the county are fringed by the Sahara and Arabian deserts as well as East African arid climates. This study investigates the spatial and temporal seasonal (June-September [JJAS]) rainfall variability and the associated circulation patterns over Ethiopia. The study utilized ten daily station gridded rainfall, monthly SST, Outgoing Longwave Radiation (OLR) and zonal and meridional wind at various levels for 1983-2015. Statistical methods employed include EOF, composite and correlation analysis. The three leading EOF analysis revealed 57.8% that the first and second PC modes over Gambella are associated with ENSO and IOD variability. Wind and velocity potential revealed that wet (dry) years were characterized by convergence (divergence) in the lower level and divergence (convergence) at the upper level, implying rising (sinking) motion over the study area and western Indian Ocean. During normal (wet) years, maximum intensity of westerlies was generally observed at 850 hPa level, while easterlies were dominant at the upper level. There exists a significant correlation between JJAS rainfall and Nino3.4 for ENSO with r value (-0.56) but insignificant for (DMI) IOD with r value (-0.11). A cold (warm) summer SST over the central equatorial Pacific is associated with more (less) rainfall over Ethiopia. This shows that both ENSO and IOD modes have influence on rainfall variability during main rainy season. The findings of this and related studies is crucial to the development, planning and mitigation of all rainfall dependent activities.

Highlights

  • Climate change characterized by increased in annual temperatures, changes in rainfall patterns threatens food security in low-income and agriculture-based economies [14]

  • For Kiremt, in most cases excess year rainfall are associated with: 1) The three leading Empirical Orthogonal Function (EOF) analysis revealed 57.8% that the first and second PC modes over Gambella are associated with El Nino–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) variability with variance

  • 3) During years, maximum intensity of westerlies was generally observed at 850hPa level, while easterlies were dominant at the upper level

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Summary

Introduction

Climate change characterized by increased in annual temperatures, changes in rainfall patterns threatens food security in low-income and agriculture-based economies [14]. Rainfall in Ethiopia shows large variations across time and space, due to the complex topography and varying latitude of the country [20, 21] This complex spatio-temporal variability of rainfall over Ethiopia is linked to variations in sea surface temperatures (SSTs) over the Indian, Pacific and Atlantic Oceans [12], and the interaseasonal and interannual variation of the strength of the monsoon over the Arabian Peninsula [18, 19]. Most of these have focused on the predictability of June– September rainfall ‘Kiremt’, [5, 10] and [3, 13] These and other related studies, such as [30] and [12] suggest that the interannual rainfall variability during this season is controlled by the El Nino–Southern Oscillation (ENSO) and the Indian Ocean, where warming/cooling events are associated with deficit/excess of rainfall over the central and northern half of the country. This work is crucial for planning and designing Gambella Regional state’s climate variability adaptation, water resources management, agriculture practice, hydroelectric power generation among others

Area of Study
Data and Methodology
Results and Discussions
Empirical Orthogonal Function Analysis
Classification of Wet and Dry Years
Standardized Precipitation Index Analysis
Annual and Seasonal Rainfall Regimes
Annual and Seasonal Rainfall Trend Analysis
Typical Characteristics of Tropical SSTs During the Kiremt Season
Outgoing Long Wave Radiation
Correlation Analysis
Summary and Conclusions
Full Text
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