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Regionalization and association with global climate drivers of rainfall in the Rift Valley Lakes Basin of Ethiopia

Theoretical and Applied Climatology volume 148, pages 1151–1162 (2022)Cite this article

Abstract

Regionalization and evaluation of associations of hydro-climatic variables with indices of global climate drivers are helpful for local-scale seasonal forecasting of weather patterns and planning water resources management. The main objective was to regionalize the Ethiopian Rift Valley Lakes Basin into homogenous sub-regions based on monthly and seasonal rainfalls and investigate the influence of some global climate drivers at the scale of the sub-regions to devise predictive tools. The dataset used monthly rainfall and global and regional climate indices anomalies from 1983 to 2014. Principal component analysis (PCA), Pearson correlation, and multivariate linear regression methods were applied using SPSS and R software. Based on PCA analysis, three principal components were identified which have a significant association with global climate indices. Over the study period, there were nine moderates to strong El Niño and six La Niña events; the warming phases received more rainfall and less in the cooling phase. Lagged sea surface temperature (SST) and atmospheric variables were selected as predictors based on significant associations with regional rainfall. The multiple linear regression analysis revealed the possibilities of deriving seasonal forecasts at the local level. The study showed that the model derived an excellent and scientifically robust seasonal rainfall prediction skill in a short lead time of the different seasons at a range of 30 to 80% in the sub-regional level. The capabilities of rainfall prediction skills help reduce climate-induced hazards in planning and decision-making processes by providing timely and specific climate information.

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Data availability

The datasets generated in this study are not publicly available due to the data policy of the Ethiopian Meteorological Agency but are available from the NMA on reasonable request.

Code availability

Not applicable.

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Acknowledgements

The authors acknowledge the Ethiopian National Meteorological Agency for providing the rainfall data. The corresponding author also acknowledges Hawassa University for allowing work on his PhD in Wondogenet College of Forestry and Natural Resources.

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Authors and Affiliations

  1. Department of Geography and Environmental Studies, Hawassa University, P. O. Box: 5, Addis Ababa, Hawassa, Ethiopia

    Mamuye Belihu

  2. College of Architecture and Civil Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

    Brook Abate

  3. School of Water Resources Engineering, Hawassa University, Addis Ababa, Hawassa, Ethiopia

    Sirak Tekleab

  4. Department of Geography and Environmental Studies, Addis Ababa University, Addis Ababa, Ethiopia

    Woldeamlak Bewket

Authors
  1. Mamuye Belihu
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  2. Brook Abate
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  3. Sirak Tekleab
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  4. Woldeamlak Bewket
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Correspondence to Mamuye Belihu.

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All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Mamuye Belihu, Sirak Tekleab, Brook Abate, and Woldeamlak Bewket. The first draft of the manuscript was written by Mamuye Belihu and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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The authors declare no competing interests.

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Belihu, M., Abate, B., Tekleab, S. et al. Regionalization and association with global climate drivers of rainfall in the Rift Valley Lakes Basin of Ethiopia. Theor Appl Climatol 148, 1151–1162 (2022). https://doi.org/10.1007/s00704-022-03997-7

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  • DOI: https://doi.org/10.1007/s00704-022-03997-7