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    Assessment of the performance of CORDEX Regional Climate Models in Simulating Eastern Africa Rainfall

    245633_245633.pdf (5.917Mb)
    Access Status
    Open access
    Authors
    Endris, H.
    Omondi, P.
    Jain, S.
    Lennard, C.
    Hewitson, B.
    Chang’a, L.
    Awange, Joseph
    Dosio, A.
    Ketiem, P.
    Nikulin, G.
    Panitz, H.
    Büchner, M.
    Stordal, F.
    Tazalika, L.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Endris, H. and Omondi, P. and Jain, S. and Lennard, C. and Hewitson, B. and Chang’a, L. and Awange, J. et al. 2013. Assessment of the performance of CORDEX Regional Climate Models in Simulating Eastern Africa Rainfall. Journal of Climate. 26: pp. 8453-8475.
    Source Title
    Journal of Climate
    DOI
    10.1175/JCLI-D-12-00708.1
    ISSN
    0894-8755
    School
    Department of Spatial Sciences
    Remarks

    Copyright © 2013 American Meteorological Society

    URI
    http://hdl.handle.net/20.500.11937/13807
    Collection
    • Curtin Research Publications
    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.

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