Recipes for correcting the impact of effective mesoscale resolution on the estimation of extreme winds

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Extreme winds derived from simulations using mesoscale models are underestimated due to the effective spatial and temporal resolutions. This is reflected in the spectral domain as an energy deficit in the mesoscale range. The energy deficit implies smaller spectral moments and thus underestimation in the extreme winds. We have developed two approaches for correcting the smoothing effect resulting from the mesoscale model resolution on the extreme wind estimation by taking into account the difference between the modeled and measured spectra in the high frequency range. Both approaches give estimates of the smoothing effect in good agreement with measurements from several sites in Denmark and Germany.
    Original languageEnglish
    JournalJournal of Applied Meteorology and Climatology
    Volume51
    Issue number3
    Pages (from-to)521-533
    ISSN1558-8424
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Wind power meteorology

    Cite this

    @article{2472e3bc10c348d8a9e83e9cf440c11a,
    title = "Recipes for correcting the impact of effective mesoscale resolution on the estimation of extreme winds",
    abstract = "Extreme winds derived from simulations using mesoscale models are underestimated due to the effective spatial and temporal resolutions. This is reflected in the spectral domain as an energy deficit in the mesoscale range. The energy deficit implies smaller spectral moments and thus underestimation in the extreme winds. We have developed two approaches for correcting the smoothing effect resulting from the mesoscale model resolution on the extreme wind estimation by taking into account the difference between the modeled and measured spectra in the high frequency range. Both approaches give estimates of the smoothing effect in good agreement with measurements from several sites in Denmark and Germany.",
    keywords = "Wind power meteorology, Vindkraftmeteorologi",
    author = "Lars{\'e}n, {Xiaoli Guo} and S{\o}ren Ott and Jake Badger and Hahmann, {Andrea N.} and Jakob Mann",
    year = "2012",
    doi = "10.1175/JAMC-D-11-090.1",
    language = "English",
    volume = "51",
    pages = "521--533",
    journal = "Journal of Applied Meteorology and Climatology",
    issn = "1558-8424",
    publisher = "American Meteorological Society",
    number = "3",

    }

    TY - JOUR

    T1 - Recipes for correcting the impact of effective mesoscale resolution on the estimation of extreme winds

    AU - Larsén, Xiaoli Guo

    AU - Ott, Søren

    AU - Badger, Jake

    AU - Hahmann, Andrea N.

    AU - Mann, Jakob

    PY - 2012

    Y1 - 2012

    N2 - Extreme winds derived from simulations using mesoscale models are underestimated due to the effective spatial and temporal resolutions. This is reflected in the spectral domain as an energy deficit in the mesoscale range. The energy deficit implies smaller spectral moments and thus underestimation in the extreme winds. We have developed two approaches for correcting the smoothing effect resulting from the mesoscale model resolution on the extreme wind estimation by taking into account the difference between the modeled and measured spectra in the high frequency range. Both approaches give estimates of the smoothing effect in good agreement with measurements from several sites in Denmark and Germany.

    AB - Extreme winds derived from simulations using mesoscale models are underestimated due to the effective spatial and temporal resolutions. This is reflected in the spectral domain as an energy deficit in the mesoscale range. The energy deficit implies smaller spectral moments and thus underestimation in the extreme winds. We have developed two approaches for correcting the smoothing effect resulting from the mesoscale model resolution on the extreme wind estimation by taking into account the difference between the modeled and measured spectra in the high frequency range. Both approaches give estimates of the smoothing effect in good agreement with measurements from several sites in Denmark and Germany.

    KW - Wind power meteorology

    KW - Vindkraftmeteorologi

    U2 - 10.1175/JAMC-D-11-090.1

    DO - 10.1175/JAMC-D-11-090.1

    M3 - Journal article

    VL - 51

    SP - 521

    EP - 533

    JO - Journal of Applied Meteorology and Climatology

    JF - Journal of Applied Meteorology and Climatology

    SN - 1558-8424

    IS - 3

    ER -