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Diagnosis of East African climate and the circulation mechanisms associated with extreme wet and dry events: a study based on RegCM4

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Abstract

The latest version of the International Centre for Theoretical Physics (ICTP) regional climate model (RegCM4) is used in this study to examine the East African climate, focusing on October to December (OND) rainfall and the circulation mechanisms associated with extreme wet and dry events over the period 1991–2008. Grell convection scheme with Fritsch-Chappell closure assumption is used. The experiment was performed with the initial and lateral boundary conditions obtained from ERA-interim gridded reanalysis at a 1.5° resolution. The simulation period was 1990–2008 at a resolution of 50 km. Results show that the model realistically simulates the annual cycle, the OND mean seasonal rainfall, and its interannual variability over the East African region, where the simulated rainfall tends to underestimate the observed rainfall. There is however a significant positive correlation between the simulated rainfall and the rainfall datasets used to evaluate the model performance. Further analysis revealed that, the model captures well the observed circulation anomaly patterns, with divergence at low level and convergence at upper level during dry years, and for wet years, convergence (divergence) was simulated at low (upper) level, especially over the western Indian Ocean and the study area. Dry years are hence characterized by sinking motion as oppose to wet years which depict rising motion. These were corroborated by the pressure vertical velocity (omega), which showed positive (negative) anomalies over the region during dry (wet) years. The findings from this study provide insight into the circulation anomaly associations with wet and dry events in the region. The observed biases indicate that the ability of the model in simulating the East African climate is still a significant challenge. Therefore, future work needs to focus on improving the performance of the model in climate research over the region.

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Acknowledgments

We thank the NOAA for providing the OISST data, the ECMWF for providing the ERA-interim reanalysis data, and the University of East Anglia Climatic Research Unit for the data used in this study. We also thank the Chinese Scholarship Council (CSC) for the financial support and the Nanjing University of Information Science and Technology for providing the required facilities for data analysis and for all other forms of support.

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Authors and Affiliations

  1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Bob Alex Ogwang, Haishan Chen, Guirong Tan & Victor Ongoma

  2. Uganda National Meteorological Authority, P.O. Box 7025, Kampala, Uganda

    Bob Alex Ogwang

  3. Department of Meteorology, South Eastern Kenya University, P.O. Box 170-90200, Kitui, Kenya

    Victor Ongoma

  4. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Didier Ntwali

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  1. Bob Alex Ogwang
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  2. Haishan Chen
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  5. Didier Ntwali
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Correspondence to Haishan Chen.

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Ogwang, B.A., Chen, H., Tan, G. et al. Diagnosis of East African climate and the circulation mechanisms associated with extreme wet and dry events: a study based on RegCM4. Arab J Geosci 8, 10255–10265 (2015). https://doi.org/10.1007/s12517-015-1949-6

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