Modelling the embedded rainfall process using tipping bucket data

Peter Thyregod, Karsten Arnbjerg-Nielsen, Henrik Madsen, Niels Jacob Carstensen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    A new method for modelling the dynamics of rain measurement processes is suggested. The method takes the discrete nature and autocorrelation of measurements from the tipping bucket rain gauge into consideration. The considered model is a state space model with a Poisson marginal distribution. In the model there is only one parameter, a thinning parameter. The model is tested on 39 rain events. The estimated value for the various rain events is reflecting a subjective classification of rain events into frontal and convective rain. Finally, it is demonstrated how the model can be used for simulation and prediction.
    Original languageEnglish
    JournalWater Science and Technology
    Volume37
    Issue number11
    Pages (from-to)57-64
    ISSN0273-1223
    DOIs
    Publication statusPublished - 1998

    Fingerprint Dive into the research topics of 'Modelling the embedded rainfall process using tipping bucket data'. Together they form a unique fingerprint.

    Cite this