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    Scale-recursive estimation for merging precipitation data from radar and microwave cross-track scanners

    Authors
    Van de Vyver, H.
    , Roulin, E.
    Discipline
    Earth and related Environmental sciences
    Subject
    data fusion
    multiscale model
    remote sensing
    Audience
    General Public
    Scientific
    Date
    2009
    Publisher
    IRM
    KMI
    RMI
    Metadata
    Show full item record
    Description
    This paper presents an application of scale-recursive estimation (SRE) used to assimilate rainfall rates within a storm, estimated from the data of two remote sensing devices. These are a ground-based weather radar and a spaceborne microwave cross-track scanner. The rain rate products corresponding to the latter were provided by the EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management. In our approach, we operate directly on the data so that it is not necessary to consider a predefined multiscale model structure. We introduce a simple and computationally efficient procedure to model the variability of the rain rate process in scales. The measurement noise of the radar is estimated by comparing a large number of data sets with rain gauge data. The noise in the microwave measurements is roughly estimated by using upscaled radar data as a reference. Special emphasis is placed on the specification of the multiscale structure of precipitation under sparse or noisy data. The new methodology is compared with the latest SRE method for data fusion of multisensor precipitation estimates. Applications to the Belgian region show the relevance of the new methodology.
    Citation
    Van de Vyver, H.; , Roulin, E. (2009). Scale-recursive estimation for merging precipitation data from radar and microwave cross-track scanners. , Issue Journal of Geophysical Research 114, D08104, IRM,
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/8832
    Type
    Article
    Peer-Review
    Not pertinent
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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