Application of cycling 3D-VAR to weather forecasting for operational ocean forecasting system

Title
Application of cycling 3D-VAR to weather forecasting for operational ocean forecasting system
Author(s)
허기영; 정상훈; 박광순; 전기천
KIOST Author(s)
Heo, Ki-Young(허기영)Jeong, Sang Hun(정상훈)Jun, Kicheon(전기천)
Publication Year
2015-05-13
Abstract
Due to the availability of high-resolution regional weather models and computational facilities, today, it is possible to better resolve mesoscale weather events and hence to give reasonably good forecasts in the short range. The limitations in such forecasts lie in the availability of initial conditions at model resolutions. To overcome the limitations, a number of operational forecasting systems are now routinely running the regional weather model with the optimum application of data assimilation (DA). Since 2015, 3-hourly cycling three-dimensional variational DA (3D-VAR) method based on the Weather Research and Forecasting Model (WRF) has been test-operated to improve accuracy of predicted sea surface wind and air pressure around Korea. Observations around East Asia assimilated in the cycling 3D-VAR include hourly observations in synoptic stations and 12-hourly radiosonde observations. In addition, we have used observation data from buoys and AWS stations around Korea. The in situ surface observations contain hourly 2-m temperature and humidity, 10-m wind, and pressure. The radiosonde profiles include 12-hourly temperature, humidity, and wind at vertical levels extending from the surface up to about 10 hPa. In this study, we have highlighted the impact of the cycling 3D-VAR on forecasting sea surface wind and air pressure.s in such forecasts lie in the availability of initial conditions at model resolutions. To overcome the limitations, a number of operational forecasting systems are now routinely running the regional weather model with the optimum application of data assimilation (DA). Since 2015, 3-hourly cycling three-dimensional variational DA (3D-VAR) method based on the Weather Research and Forecasting Model (WRF) has been test-operated to improve accuracy of predicted sea surface wind and air pressure around Korea. Observations around East Asia assimilated in the cycling 3D-VAR include hourly observations in synoptic stations and 12-hourly radiosonde observations. In addition, we have used observation data from buoys and AWS stations around Korea. The in situ surface observations contain hourly 2-m temperature and humidity, 10-m wind, and pressure. The radiosonde profiles include 12-hourly temperature, humidity, and wind at vertical levels extending from the surface up to about 10 hPa. In this study, we have highlighted the impact of the cycling 3D-VAR on forecasting sea surface wind and air pressure.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25575
Bibliographic Citation
6th Korea-China Joint Workshop, pp.1 - 6, 2015
Publisher
NMEFC/KIOST
Type
Conference
Language
English
Publisher
NMEFC/KIOST
Related Researcher
Research Interests

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

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