Impact Study of FY-3B MWRI Data Assimilation in WRFDA
In the first attempt to configure the Fengyun-3B satellite’s Microwave Radiation Imager (MWRI) radiance data in the Weather Research Forecast (WRF) model’s Data Assimilation system (WRFDA), the impact of MWRI data assimilation on the analysis and forecast of Typhoon Son-Tinh in 2012 was evaluated wi...
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doaj-5df160b943d0436ca721a61a85b700962021-04-15T23:00:21ZengMDPI AGAtmosphere2073-44332021-04-011249749710.3390/atmos12040497Impact Study of FY-3B MWRI Data Assimilation in WRFDAChun Yang0Lijian Zhu1Jinzhong Min2Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaIn the first attempt to configure the Fengyun-3B satellite’s Microwave Radiation Imager (MWRI) radiance data in the Weather Research Forecast (WRF) model’s Data Assimilation system (WRFDA), the impact of MWRI data assimilation on the analysis and forecast of Typhoon Son-Tinh in 2012 was evaluated with WRFDA’s three-dimensional variational (3DVAR) data-assimilation scheme. Compared to a benchmark experiment with no MWRI data, assimilating MWRI radiances improved the analyses of typhoon central sea level pressure (CSLP), warm core structure, and wind speed. Moreover, verified with European Center for Medium-Range Weather Forecasts (ECMWF) analysis data, significant improvements in model variable forecast, such as geopotential height and specific humidity, were produced. Substantial error reductions in track, CSLP, and maximum-wind-speed forecasts with MWRI assimilation was also obtained from analysis time to 48 h forecast.https://www.mdpi.com/2073-4433/12/4/497data assimilationMicrowave Radiation Imager (MWRI)typhoonWeather Research Forecast model’s Data Assimilation system (WRFDA) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chun Yang Lijian Zhu Jinzhong Min |
spellingShingle |
Chun Yang Lijian Zhu Jinzhong Min Impact Study of FY-3B MWRI Data Assimilation in WRFDA Atmosphere data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) |
author_facet |
Chun Yang Lijian Zhu Jinzhong Min |
author_sort |
Chun Yang |
title |
Impact Study of FY-3B MWRI Data Assimilation in WRFDA |
title_short |
Impact Study of FY-3B MWRI Data Assimilation in WRFDA |
title_full |
Impact Study of FY-3B MWRI Data Assimilation in WRFDA |
title_fullStr |
Impact Study of FY-3B MWRI Data Assimilation in WRFDA |
title_full_unstemmed |
Impact Study of FY-3B MWRI Data Assimilation in WRFDA |
title_sort |
impact study of fy-3b mwri data assimilation in wrfda |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2021-04-01 |
description |
In the first attempt to configure the Fengyun-3B satellite’s Microwave Radiation Imager (MWRI) radiance data in the Weather Research Forecast (WRF) model’s Data Assimilation system (WRFDA), the impact of MWRI data assimilation on the analysis and forecast of Typhoon Son-Tinh in 2012 was evaluated with WRFDA’s three-dimensional variational (3DVAR) data-assimilation scheme. Compared to a benchmark experiment with no MWRI data, assimilating MWRI radiances improved the analyses of typhoon central sea level pressure (CSLP), warm core structure, and wind speed. Moreover, verified with European Center for Medium-Range Weather Forecasts (ECMWF) analysis data, significant improvements in model variable forecast, such as geopotential height and specific humidity, were produced. Substantial error reductions in track, CSLP, and maximum-wind-speed forecasts with MWRI assimilation was also obtained from analysis time to 48 h forecast. |
topic |
data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) |
url |
https://www.mdpi.com/2073-4433/12/4/497 |
work_keys_str_mv |
AT chunyang impactstudyoffy3bmwridataassimilationinwrfda AT lijianzhu impactstudyoffy3bmwridataassimilationinwrfda AT jinzhongmin impactstudyoffy3bmwridataassimilationinwrfda |
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1721526043103199232 |