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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Autor*in:	Chun Yang [verfasserIn] Lijian Zhu [verfasserIn] Jinzhong Min [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA)

Übergeordnetes Werk:	In: Atmosphere - MDPI AG, 2011, 12(2021), 4, p 497
Übergeordnetes Werk:	volume:12 ; year:2021 ; number:4, p 497

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/atmos12040497

Katalog-ID:	DOAJ052955702

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spelling	10.3390/atmos12040497 doi (DE-627)DOAJ052955702 (DE-599)DOAJ5df160b943d0436ca721a61a85b70096 DE-627 ger DE-627 rakwb eng QC851-999 Chun Yang verfasserin aut Impact Study of FY-3B MWRI Data Assimilation in WRFDA 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) Meteorology. Climatology Lijian Zhu verfasserin aut Jinzhong Min verfasserin aut In Atmosphere MDPI AG, 2011 12(2021), 4, p 497 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:12 year:2021 number:4, p 497 https://doi.org/10.3390/atmos12040497 kostenfrei https://doaj.org/article/5df160b943d0436ca721a61a85b70096 kostenfrei https://www.mdpi.com/2073-4433/12/4/497 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 4, p 497
allfields_unstemmed	10.3390/atmos12040497 doi (DE-627)DOAJ052955702 (DE-599)DOAJ5df160b943d0436ca721a61a85b70096 DE-627 ger DE-627 rakwb eng QC851-999 Chun Yang verfasserin aut Impact Study of FY-3B MWRI Data Assimilation in WRFDA 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) Meteorology. Climatology Lijian Zhu verfasserin aut Jinzhong Min verfasserin aut In Atmosphere MDPI AG, 2011 12(2021), 4, p 497 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:12 year:2021 number:4, p 497 https://doi.org/10.3390/atmos12040497 kostenfrei https://doaj.org/article/5df160b943d0436ca721a61a85b70096 kostenfrei https://www.mdpi.com/2073-4433/12/4/497 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 4, p 497
allfieldsGer	10.3390/atmos12040497 doi (DE-627)DOAJ052955702 (DE-599)DOAJ5df160b943d0436ca721a61a85b70096 DE-627 ger DE-627 rakwb eng QC851-999 Chun Yang verfasserin aut Impact Study of FY-3B MWRI Data Assimilation in WRFDA 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) Meteorology. Climatology Lijian Zhu verfasserin aut Jinzhong Min verfasserin aut In Atmosphere MDPI AG, 2011 12(2021), 4, p 497 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:12 year:2021 number:4, p 497 https://doi.org/10.3390/atmos12040497 kostenfrei https://doaj.org/article/5df160b943d0436ca721a61a85b70096 kostenfrei https://www.mdpi.com/2073-4433/12/4/497 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 4, p 497
allfieldsSound	10.3390/atmos12040497 doi (DE-627)DOAJ052955702 (DE-599)DOAJ5df160b943d0436ca721a61a85b70096 DE-627 ger DE-627 rakwb eng QC851-999 Chun Yang verfasserin aut Impact Study of FY-3B MWRI Data Assimilation in WRFDA 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA) Meteorology. Climatology Lijian Zhu verfasserin aut Jinzhong Min verfasserin aut In Atmosphere MDPI AG, 2011 12(2021), 4, p 497 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:12 year:2021 number:4, p 497 https://doi.org/10.3390/atmos12040497 kostenfrei https://doaj.org/article/5df160b943d0436ca721a61a85b70096 kostenfrei https://www.mdpi.com/2073-4433/12/4/497 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 4, p 497
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source	In Atmosphere 12(2021), 4, p 497 volume:12 year:2021 number:4, p 497
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callnumber-first	Q - Science
author	Chun Yang
spellingShingle	Chun Yang misc QC851-999 misc data assimilation misc Microwave Radiation Imager (MWRI) misc typhoon misc Weather Research Forecast model’s Data Assimilation system (WRFDA) misc Meteorology. Climatology Impact Study of FY-3B MWRI Data Assimilation in WRFDA
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topic_title	QC851-999 Impact Study of FY-3B MWRI Data Assimilation in WRFDA data assimilation Microwave Radiation Imager (MWRI) typhoon Weather Research Forecast model’s Data Assimilation system (WRFDA)
topic	misc QC851-999 misc data assimilation misc Microwave Radiation Imager (MWRI) misc typhoon misc Weather Research Forecast model’s Data Assimilation system (WRFDA) misc Meteorology. Climatology
topic_unstemmed	misc QC851-999 misc data assimilation misc Microwave Radiation Imager (MWRI) misc typhoon misc Weather Research Forecast model’s Data Assimilation system (WRFDA) misc Meteorology. Climatology
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title	Impact Study of FY-3B MWRI Data Assimilation in WRFDA
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title_sort	impact study of fy-3b mwri data assimilation in wrfda
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title_auth	Impact Study of FY-3B MWRI Data Assimilation in WRFDA
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Impact Study of FY-3B MWRI Data Assimilation in WRFDA
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score	7.399123

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