Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation

FORMOSAT-7/COSMIC-2 (FS7/C2) satellite was successfully launched in June 2019. The satellite provides about 5000 radio occultation (RO) soundings daily over the tropical and partial subtropical regions. Such plentiful RO soundings with high accuracy and vertical resolution could be used to improve m...

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Autores principales:	Shu-Ya Chen, Thi-Chinh Nguyen, Ching-Yuang Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Typhoon Haishen hybrid WRFDA radio occultation FORMOSAT-7/COSMIC-2 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/4143b6e4ac574938ad7a5180c58c5838
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spelling	oai:doaj.org-article:4143b6e4ac574938ad7a5180c58c58382021-11-25T16:44:05ZImpact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation10.3390/atmos121113972073-4433https://doaj.org/article/4143b6e4ac574938ad7a5180c58c58382021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1397https://doaj.org/toc/2073-4433FORMOSAT-7/COSMIC-2 (FS7/C2) satellite was successfully launched in June 2019. The satellite provides about 5000 radio occultation (RO) soundings daily over the tropical and partial subtropical regions. Such plentiful RO soundings with high accuracy and vertical resolution could be used to improve model initial analysis for typhoon prediction. In this study, assimilation experiments with and without the RO data were conducted with the WRFDA hybrid system for the prediction of Typhoon Haishen (2020). The experimental results show a remarkable improvement in typhoon track prediction with RO data assimilation, especially when using a nonlocal refractivity operator. Results in cycling DA and forecast are analyzed and verified for the RO data impact. Diagnostics of potential vorticity (PV) tendency budget helps explain the typhoon translation induced by different physical processes in the budget. The typhoon translation is essentially dominated by horizontal PV advection, but the track deviation can increase due to the vertical PV advection with opposite effects in the absence of RO data. Sensitivity experiments for different model initial times, physics schemes, and RO observation amounts show positive RO data impacts on typhoon prediction, mainly contributed from FS7. Complementary, an improved forecast of Typhoon Hagupit (2020) is also illustrated for the RO data impact.Shu-Ya ChenThi-Chinh NguyenChing-Yuang HuangMDPI AGarticleTyphoon Haishenhybrid WRFDAradio occultationFORMOSAT-7/COSMIC-2Meteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1397, p 1397 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Typhoon Haishen hybrid WRFDA radio occultation FORMOSAT-7/COSMIC-2 Meteorology. Climatology QC851-999
spellingShingle	Typhoon Haishen hybrid WRFDA radio occultation FORMOSAT-7/COSMIC-2 Meteorology. Climatology QC851-999 Shu-Ya Chen Thi-Chinh Nguyen Ching-Yuang Huang Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
description	FORMOSAT-7/COSMIC-2 (FS7/C2) satellite was successfully launched in June 2019. The satellite provides about 5000 radio occultation (RO) soundings daily over the tropical and partial subtropical regions. Such plentiful RO soundings with high accuracy and vertical resolution could be used to improve model initial analysis for typhoon prediction. In this study, assimilation experiments with and without the RO data were conducted with the WRFDA hybrid system for the prediction of Typhoon Haishen (2020). The experimental results show a remarkable improvement in typhoon track prediction with RO data assimilation, especially when using a nonlocal refractivity operator. Results in cycling DA and forecast are analyzed and verified for the RO data impact. Diagnostics of potential vorticity (PV) tendency budget helps explain the typhoon translation induced by different physical processes in the budget. The typhoon translation is essentially dominated by horizontal PV advection, but the track deviation can increase due to the vertical PV advection with opposite effects in the absence of RO data. Sensitivity experiments for different model initial times, physics schemes, and RO observation amounts show positive RO data impacts on typhoon prediction, mainly contributed from FS7. Complementary, an improved forecast of Typhoon Hagupit (2020) is also illustrated for the RO data impact.
format	article
author	Shu-Ya Chen Thi-Chinh Nguyen Ching-Yuang Huang
author_facet	Shu-Ya Chen Thi-Chinh Nguyen Ching-Yuang Huang
author_sort	Shu-Ya Chen
title	Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
title_short	Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
title_full	Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
title_fullStr	Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
title_full_unstemmed	Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation
title_sort	impact of radio occultation data on the prediction of typhoon haishen (2020) with wrfda hybrid assimilation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4143b6e4ac574938ad7a5180c58c5838
work_keys_str_mv	AT shuyachen impactofradiooccultationdataonthepredictionoftyphoonhaishen2020withwrfdahybridassimilation AT thichinhnguyen impactofradiooccultationdataonthepredictionoftyphoonhaishen2020withwrfdahybridassimilation AT chingyuanghuang impactofradiooccultationdataonthepredictionoftyphoonhaishen2020withwrfdahybridassimilation
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Impact of Radio Occultation Data on the Prediction of Typhoon Haishen (2020) with WRFDA Hybrid Assimilation

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