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Numerical simulations of Typhoon Morakot (2009) using a multiply nested tropical cyclone prediction model

  • Eric A. Hendricks
  • , Yi Jin
  • , Jonathan R. Moskaitis
  • , James D. Doyle
  • , Melinda S. Peng
  • , Chun Chieh Wu
  • , Hung Chi Kuo
    • Naval Research Laboratory
    • National Taiwan University

    Research output: Contribution to journalArticlepeer-review

    21 Scopus citations

    Abstract

    High-impact Typhoon Morakot (2009) was investigated using a multiply nested regional tropical cyclone prediction model. In the numerical simulations, the horizontal grid spacing, cumulus parameterizations, and microphysical parameterizations were varied, and the sensitivity of the track, intensity, and quantitative precipitation forecasts (QPFs) was examined. With regard to horizontal grid spacing, it is found that convective-permitting (5 km) resolution is necessary for a reasonably accurate QPF, while little benefit is gained through the use of a fourth domain at 1.67-km horizontal resolution. Significant sensitivity of the track forecast was found to the cumulus parameterization, which impacted the model QPFs. In particular, the simplified Arakawa-Schubert parameterization tended to erroneously regenerate the remnants of Tropical Storm Goni to the southwest of Morakot, affecting the large-scale steering flow and the track of Morakot. Strong sensitivity of the QPFs to the microphysical parameterization was found, with the track and intensity showing little sensitivity. It is also found that Morakot's accumulated precipitation was reasonably predictable, with the control simulation producing an equitable threat score of 0.56 for the 3-day accumulated precipitation using a threshold of 500 mm. This high predictability of precipitation is due in part to more predictable large-scale and topographic forcing.

    Original languageEnglish
    Pages (from-to)627-645
    Number of pages19
    JournalWeather and Forecasting
    Volume31
    Issue number2
    DOIs
    StatePublished - Apr 1 2016

    Keywords

    • Models and modeling
    • Numerical weather prediction/forecasting
    • Regional models

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