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  • 1
    Publication Date: 2022-08-18
    Description: 37th IAMSLIC Conference & 5th AFRIAMSLIC Conference, Zanzibar, Tanzania, October 16-21, 2011
    Type: Proceedings , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 2
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    AGU (American Geophysical Union)
    In:  Journal of Geophysical Research: Atmospheres, 117 (D18). D18107.
    Publication Date: 2018-01-19
    Description: The representation of the annual cycle of heavy daily precipitation events across the United Kingdom within 14 regional climate models (RCMs) and the European observation data set (E-OBS) over the 1961-2000 period is investigated. We model extreme precipitation as an inhomogeneous Poisson process with a non-stationary threshold and use a sinusoidal model for the location and scale parameter of the corresponding generalized extreme value distribution and a constant shape parameter. First we fit the statistical model to the UK Met Office 5 km gridded precipitation data set (UKMO). Second the statistical model is fitted to 14 reanalysis driven 25 km resolution RCMs from the ENSEMBLES project and to E-OBS. The resulting characteristics from the RCMs and from E-OBS are compared with those from UKMO. We study the peak time of the annual cycle of the monthly return levels, the relative amplitude of their annual cycle and the relative bias of their absolute values. We show that the performance of the RCMs depends strongly on the region. The RCMs show deficits in modeling the characteristics of the annual cycle, especially in modeling its relative amplitude and mainly in Eastern England. However the peak time of the annual cycle is adequately simulated by most RCMs. E-OBS exhibits considerable biases in the absolute values of all monthly return levels, but the relative amplitude and the phase of the annual cycle of heavy precipitation are well represented. Our results imply that studies which rely on the explicit annual cycle of simulated heavy precipitation should be carefully considered.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
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    Aarhus University, Danish Centre for Environment and Energy
    In:  EPIC3Aarhus, Denmark, Aarhus University, Danish Centre for Environment and Energy
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
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