Assessment of the Performance of CORDEX Regional Climate Models in Simulating East African Rainfall

Author:

Endris Hussen Seid1,Omondi Philip2,Jain Suman3,Lennard Christopher1,Hewitson Bruce1,Chang'a Ladislaus4,Awange J. L.5,Dosio Alessandro6,Ketiem Patrick7,Nikulin Grigory8,Panitz Hans-Jürgen9,Büchner Matthias10,Stordal Frode11,Tazalika Lukiya12

Affiliation:

1. University of Cape Town, Cape Town, South Africa

2. IGAD Climate Prediction and Applications Centre, Nairobi, Kenya

3. University of Zambia, Lusaka, Zambia

4. Tanzania Meteorological Agency, Dar es Salaam, Tanzania

5. Western Australian Centre for Geodesy and the Institute for Geoscience Research, Curtin University, Perth, Australia

6. European Commission Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy

7. Kenya Agricultural Research Institute, Nairobi, Kenya

8. Rossby Centre, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

9. Institut für Meteorologie und Klimaforschung, and Karlsruher Institut für Technologie, Karlsruhe, Germany

10. Potsdam Institute for Climate Impact Research, Potsdam, Germany

11. University of Oslo, Oslo, Norway

12. Uganda Meteorological Department, Kampala, Uganda

Abstract

Abstract This study evaluates the ability of 10 regional climate models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX) in simulating the characteristics of rainfall patterns over eastern Africa. The seasonal climatology, annual rainfall cycles, and interannual variability of RCM output have been assessed over three homogeneous subregions against a number of observational datasets. The ability of the RCMs in simulating large-scale global climate forcing signals is further assessed by compositing the El Niño–Southern Oscillation (ENSO) and Indian Ocean dipole (IOD) events. It is found that most RCMs reasonably simulate the main features of the rainfall climatology over the three subregions and also reproduce the majority of the documented regional responses to ENSO and IOD forcings. At the same time the analysis shows significant biases in individual models depending on subregion and season; however, the ensemble mean has better agreement with observation than individual models. In general, the analysis herein demonstrates that the multimodel ensemble mean simulates eastern Africa rainfall adequately and can therefore be used for the assessment of future climate projections for the region.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference116 articles.

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