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Estimation of cumulus cloud-top vertical velocity using geostationary satellite rapid-scan measurements in the tropics and subtropics

Research Project

Project/Area Number 16H06720
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Meteorology/Physical oceanography/Hydrology
Research InstitutionThe University of Tokyo

Principal Investigator

Hamada Atsushi  東京大学, 大気海洋研究所, 特任助教 (30550008)

Research Collaborator Takayabu Yukari N.  東京大学, 大気海洋研究所, 教授
Higuchi Atsushi  千葉大学, 環境リモートセンシング研究センター, 准教授
Project Period (FY) 2016-08-26 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Keywords鉛直流 / 積雲 / 積乱雲 / 静止衛星 / 衛星観測 / トラッキング / 気象学 / 大気現象 / リモートセンシング
Outline of Final Research Achievements

An algorithm to estimate cloud-top vertical velocity associated with cumulus clouds by using so-called "rapid-scan" measurements from a Japanese geostationary satellite, Himawari-8, is developed. The algorithm is applied to 2-yr observation data, and statistical characteristics of the obtained cloud-top vertical velocity are examined.
In the tropics (15S-15N), the numbers of cumulus samples are higher/lower in the boreal summer/winter. The distribution of terminal cloud-top heights over the oceans is consistent with the so-called "trimodal characteristics" pointed out in the previous studies. The statistical distribution of the cloud-top vertical velocity is generally independent of the season. Over both land and the oceans, the cloud-top vertical velocities are slightly increased around the freezing level (~5km), probably indicating an importance of latent heat release by freezing of cloud droplets in the development of cumulus clouds in the tropics.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Annual Research Report
  • Research Products

    (6 results)

All 2017 2016

All Journal Article (1 results) Presentation (5 results) (of which Int'l Joint Research: 4 results,  Invited: 2 results)

  • [Journal Article] 上位0.1%の極端降雨を宇宙から観測する2017

    • Author(s)
      田村真紀夫
    • Journal Title

      環境浄化技術

      Volume: 16 Pages: 91-98

    • Related Report
      2016 Annual Research Report
  • [Presentation] Convective cloud-top vertical velocity estimated from geostationary satellite rapid-scan measurements2017

    • Author(s)
      Atsushi Hamada
    • Organizer
      2017 AGU Fall Meeting
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Convective cloud-top vertical velocity estimated from geostationary satellite rapid-scan measurements2017

    • Author(s)
      Atsushi Hamada
    • Organizer
      Workshop for Typhoon, cloud and climate study
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Convective cloud-top vertical velocity estimated from geostationary satellite rapid-scan measurements2017

    • Author(s)
      Atsushi Hamada
    • Organizer
      Japan Geoscience Union Meeting 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Contribution from spaceborne precipitation radar measurements to the understanding of the global precipitation characteristics2016

    • Author(s)
      Hamada, A.
    • Organizer
      Workshop on Global Precipitation System 2016 "Diversity and Future Outlook of Weather and Climate Models"
    • Place of Presentation
      国立研究開発法人海洋研究開発機構 横浜研究所 三好記念講堂(神奈川県横浜市)
    • Year and Date
      2016-11-28
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 衛星降水レーダ観測による降水プロセス研究への貢献2016

    • Author(s)
      濱田 篤
    • Organizer
      日本気象学会2016年度秋季大会
    • Place of Presentation
      名古屋大学(愛知県名古屋市)
    • Year and Date
      2016-10-26
    • Related Report
      2016 Annual Research Report
    • Invited

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Published: 2016-09-02   Modified: 2019-03-29  

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