The MUST model evaluation exercise: Patterns in model performance

H. R. Olesen*, A. Baklanov, J. Bartzis, F. Barmpas, R. Berkowicz, K. Brzozowski, R. Buccolieri, B. Carissimo, A. Costa, S. Di Sabatino, G. Efthimiou, J. Franke, I. Goricsan, A. Hellsten, M. Ketzel, B. Leitl, R. Nuterman, E. Polreich, J. Santiago, R. Tavares

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    13 Scopus citations

    Abstract

    As part of the COST 732 action more than a dozen different research groups have modelled the MUST experiment, as simulated in a wind tunnel. The model evaluation guidance developed within COST 732 recommends 'exploratory data analysis'as one of the elements in model validation. Experience has shown that such exploratory analysis is crucial to reveal shortcomings of models that might otherwise pass unnoticed. Conditions are best for detecting common patterns and anomalies if you have a situation where several models are put into a common framework - like the case at hand. The available material provides a unique opportunity to identify and explore patterns within model performance.

    Original languageEnglish (US)
    Pages (from-to)403-408
    Number of pages6
    JournalHrvatski Meteoroloski Casopis
    Volume43 PART 1
    StatePublished - 2008

    Keywords

    • Atmospheric dispersion
    • CFD
    • COST 732
    • Exploratory data analysis
    • Model evaluation
    • Model validation
    • MUST

    ASJC Scopus subject areas

    • Atmospheric Science

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