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2013 Fiscal Year Final Research Report

Development of adaptive observation strategies for improving tropical cyclone forecasts

Research Project

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Project/Area Number 24840045
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Meteorology/Physical oceanography/Hydrology
Research InstitutionJapan, Meteorological Research Institute

Principal Investigator

KUNII Masaru  気象庁気象研究所, 予報研究部, 研究官 (70370327)

Project Period (FY) 2012-08-31 – 2014-03-31
Keywordsデータ同化 / アンサンブルカルマンフィルタ / 台風 / 観測インパクト / 適応観測
Research Abstract

The observation sensitivity estimation based on an ensemble data assimilation method was applied to tropical cyclone cases, and impacts of special soundings deployed around tropical cyclones were quantitatively evaluated. Based on the estimated observation impacts, an adaptive observation strategies for tropical cyclones were derived by a statistical approach. The results showed that observations at low and middle levels had larger positive impacts for improving tropical cyclone forecasts.

  • Research Products

    (3 results)

All 2014

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (2 results)

  • [Journal Article] Mesoscale data assimilation for a local severe rainfall event with the NHM-LETKF system2014

    • Author(s)
      Kunii, M.
    • Journal Title

      Wea. and Forecast.

    • DOI

      10.1175/WAF-D-13-00032.1

    • Peer Reviewed
  • [Presentation] Estimating impact of real observations on tropical cyclones using the NHM-LETKF2014

    • Author(s)
      Kunii, M.
    • Organizer
      AOGS 11th Annual Meeting
    • Place of Presentation
      Sapporo
    • Year and Date
      2014-07-30
  • [Presentation] Improving tropical cyclone forecast with an ensemble Kalman filter and SST uncertainties2014

    • Author(s)
      Kunii, M., T. Miyoshi, and A. Wada
    • Organizer
      2014 Ocean Sciences Meeting
    • Place of Presentation
      Honolulu
    • Year and Date
      2014-02-28

URL: 

Published: 2015-07-16  

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