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Title: ガーナ国周辺地域におけるWRFによる気象予報試行
Other Titles: A Trial Meteorological Forecasting Using WRF Model over Ghana
Authors: 鵜沼, 昂  KAKEN_name
石川, 裕彦  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6009-4924 (unconfirmed)
JUATI, Ayilari-Naa A.
ANSAH, Samuel O.
NUNEKPEKU, Peter
AGYEMAN, Richard Yao
MENSAH, Caleb
Author's alias: UNUMA, Takashi
ISHIKAWA, Hirohiko
JUATI, Ayilari-Naa A.
ANSAH, Samuel O.
NUNEKPEKU, Peter
AGYEMAN, Richard Yao
MENSAH, Caleb
Keywords: ガーナ共和国
WRF モデル
地上観測
ラジオゾンデ
Republic of Ghana
WRF model
SYNOP
Radiosonde
Issue Date: Jun-2016
Publisher: 京都大学防災研究所
Journal title: 京都大学防災研究所年報. B = Disaster Prevention Research Institute Annuals. B
Volume: 59
Issue: B
Start page: 192
End page: 199
Abstract: A trial meteorological forecasting over Ghana was conducted with the use of Weather Research and Forecasting model (WRF) and data assimilation system (WRFDA). Three di- mensional data assimilation (3DVAR) was applied to a flash flood event that occurred at Accra Ghana on 3rd June 2015 for better rainfall forecasts in this study. It is found that the horizontal scale of the convective systems that spawn a flash flood was about 1000 km. SYNOP and SONDE data were used for our assimilation. The assimilation of SYNOP data provides a quantitatively positive feedback on the rainfall forecast. On the other hand, the location of the predicted rainfall distribution is shifted to westward when SONDE data is assimilated to the initial condition. SYNOP data mostly improved moisture conditions, whereas SONDE data overestimated zonal winds in this case. While SYNOP data used in this study does not include Ghanaian area, the results suggests that there is one of a possi- bility for an improvement of rainfall forecasts when Ghanaian SYNOP data is assimilated.
URL: http://www.dpri.kyoto-u.ac.jp/nenpo/nenpo.html
URI: http://hdl.handle.net/2433/217300
Appears in Collections:Vol.59 B

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