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    Spatial regression models for extreme precipitation in Belgium

    Authors
    Van de Vyver, H.
    Discipline
    Earth and related Environmental sciences
    Subject
    extreme precipitation
    generalized extreme value distribution
    spatial dependence
    spatial extremes
    Audience
    General Public
    Scientific
    Date
    2012
    Publisher
    IRM
    KMI
    RMI
    Metadata
    Show full item record
    Description
    Quantification of precipitation extremes is important for flood planning purposes, and a common measure of extreme events is the T year return level. Extreme precipitation depths in Belgium are analyzed for accumulation durations ranging from 10 min to 30 days. Spatial generalized extreme value (GEV) models are presented by considering multisite data and relating GEV parameters to geographical/climatological covariates through a common regression relationship. Methods of combining data from several sites are in common use, and in such cases, there is likely to be nonnegligible intersite dependence. However, parameter estimation in GEV models is generally done with the maximum likelihood estimation method (MLE) that assumes independence. Estimates of uncertainty are adjusted for spatial dependence using methodologies proposed earlier. Consistency of GEV distributions for various durations is obtained by fitting a smooth function to the preliminary estimations of the shape parameter. Model quality has been assessed by various statistical tests and indicates the relevance of our approach. In addition, a methodology is applied to account for the fact that measurements have been made in fixed intervals (usually 09:00 UTC–09:00 UTC). The distribution of the annual sliding 24 h maxima was specified through extremal indices of a more than 110 year time series of 24 h aggregated 10 min rainfall and daily rainfall. Finally, the selected models are used for producing maps of precipitation return levels.
    Citation
    Van de Vyver, H. (2012). Spatial regression models for extreme precipitation in Belgium. , Issue Water Resources Research, W09549, IRM,
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/8893
    Type
    Article
    Peer-Review
    Not pertinent
    Language
    eng
    Links
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