A DBM model for snowmelt simulation

Andrea Castelletti*, Francesca Pianosi, Rodolfo Soncini-Sessa, Peter C. Young

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    An inflow prediction model is developed to compute flow from temperature records, taking into consideration snow-melt contribution to the flow using a Data-Based Mechanistic (DBM) modeling approach. DBM is used in order to keep at a minimum all the a-priori assumptions on the physical mechanism driving the flow formation process and to provide an a-posteriori meaningful interpretation of the model structure. A simulation version of the model is also identified based on such interpretation. The two models have been applied on the Jakulsa river basin, Iceland.

    Original languageEnglish
    Title of host publication15th Symposium on System Identification, SYSID 2009 - Preprints
    Pages1756-1761
    Number of pages6
    EditionPART 1
    DOIs
    Publication statusPublished - 2009
    Event15th IFAC Symposium on System Identification, SYSID 2009 - Saint-Malo, France
    Duration: 6 Jul 20098 Jul 2009

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    NumberPART 1
    Volume15
    ISSN (Print)1474-6670

    Conference

    Conference15th IFAC Symposium on System Identification, SYSID 2009
    Country/TerritoryFrance
    CitySaint-Malo
    Period6/07/098/07/09

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