In this study three multi-dimensional precipitation models, the Waymire-Gupta-Rodriguez-Iturbe model (Waymireet al., 1984; hereafter the WGR model), the noise forced diffusive precipitation model (North and Nakamoto, 1989; hereafter the NFD model) and the Yoo-Valdes-North model (Yooet al., 1996; hereafter the YVN model), are applied to the ground-truth problem to capture the sensor bias using multiple raingauges. All the model parameters used are those estimated tuned to the GATE data by Valdeset al. (1990), North and Nakamoto (1989) and by Yooet al. (1996), respectively, and the RMSEs (root mean square errors) for each model are compared. As a result of the study, we found that the model structure is more sensitive to the RMSEs than the rainrate capturing design on the ground, and that there exist optimal numbers of raingauges for a ground-truth design. Even though the optimal number of raingauges for each model were estimated differently, whose sensitivity to the RMSEs was not so high as to lead a totally different ground-truth design. However, in some cases the RMSEs estimated for a model were more than twice of another model's, which could result in more than 4 times of satellite observations required to capture the sensor bias. Thus, we can conclude that the rainrate model with realistic representation of observed rainrate field is more important than a ground-truth design for this kind of sampling related problems.


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    Titel :

    Multi-dimensional precipitation models and their application to the ground-truth problem: Multiple raingauge case


    Weitere Titelangaben:

    KSCE J Civ Eng


    Beteiligte:
    Yoo, Chulsang (Autor:in) / Ha, Eunho (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2001-03-01


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch