Improvement of Forecasted Sea Surface Wind Initialized with Cycling 3DVAR-WRF

Title
Improvement of Forecasted Sea Surface Wind Initialized with Cycling 3DVAR-WRF
Author(s)
허기영; 하경자; 전기천; 박광순
KIOST Author(s)
Heo, Ki-Young(허기영)Jun, Kicheon(전기천)
Publication Year
2015-08-03
Abstract
A cycling three-dimensional variational data assimilation (3DVAR) method based on the WRF is developed to assimilate surface and upper-air meteorological observations. A cycling 3DVAR scheme with 6-h assimilation window is designed and employed to generate the initial conditions for this sea surface wind forecasting. The result shows that the forecasted sea surface wind improved compared to the result without cycling 3DVAR. Although the impacts of assimilating the observations on near-surface wind forecasts are limited, the fine structure of local weather systems illustrated by the WRF-cycling 3DVAR system suggests that assimilating the observations has a positive effect on the near-surface wind forecast under conditions that the observations in the initial condition are properly amplified. Assimilating conventional data is an effective approach for improving the forecast of the near-surface wind.oyed to generate the initial conditions for this sea surface wind forecasting. The result shows that the forecasted sea surface wind improved compared to the result without cycling 3DVAR. Although the impacts of assimilating the observations on near-surface wind forecasts are limited, the fine structure of local weather systems illustrated by the WRF-cycling 3DVAR system suggests that assimilating the observations has a positive effect on the near-surface wind forecast under conditions that the observations in the initial condition are properly amplified. Assimilating conventional data is an effective approach for improving the forecast of the near-surface wind.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25350
Bibliographic Citation
AOGS 2015, pp.106, 2015
Publisher
Asia Oceania Geosciences Society
Type
Conference
Language
English
Publisher
Asia Oceania Geosciences Society
Related Researcher
Research Interests

Marine meteorology,Wave modeling,Storm surge,해양기상,파랑모델링,폭풍해일

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse