Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation

In this study, the case of super typhoon Lekima, which landed in Jiangsu and Zhejiang Province on 4 August 2019, is numerically simulated. Based on the Weather Research and Forecasting (WRF) model, the sensitivity experiments are carried out with different combinations of physical parameterization s...

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Autores principales:	Dongmei Xu, Xuewei Zhang, Hong Li, Haiying Wu, Feifei Shen, Aiqing Shu, Yi Wang, Xiaoran Zhuang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	super typhoon Lekima WRF model physical parameterization schemes FY-3D MWHS-2 data assimilation Science Q
Acceso en línea:	https://doaj.org/article/b8e48caae6b84a4aa6835eb7a4fa475b
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spelling	oai:doaj.org-article:b8e48caae6b84a4aa6835eb7a4fa475b2021-11-25T18:54:12ZEvaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation10.3390/rs132245562072-4292https://doaj.org/article/b8e48caae6b84a4aa6835eb7a4fa475b2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4556https://doaj.org/toc/2072-4292In this study, the case of super typhoon Lekima, which landed in Jiangsu and Zhejiang Province on 4 August 2019, is numerically simulated. Based on the Weather Research and Forecasting (WRF) model, the sensitivity experiments are carried out with different combinations of physical parameterization schemes. The results show that microphysical schemes have obvious impacts on the simulation of the typhoon’s track, while the intensity of the simulated typhoon is more sensitive to surface physical schemes. Based on the results of the typhoon’s track and intensity simulation, one parameterization scheme was further selected to provide the background field for the following data assimilation experiments. Using the three-dimensional variational (3DVar) data assimilation method, the Microwave Humidity Sounder-2 (MWHS-2) radiance data onboard the Fengyun-3D satellite (FY-3D) were assimilated for this case. It was found that the assimilation of the FY-3D MWHS-2 radiance data was able to optimize the initial field of the numerical model in terms of the model variables, especially for the humidity. Finally, by the inspection of the typhoon’s track and intensity forecast, it was found that the assimilation of FY-3D MWHS-2 radiance data improved the skill of the prediction for both the typhoon’s track and intensity.Dongmei XuXuewei ZhangHong LiHaiying WuFeifei ShenAiqing ShuYi WangXiaoran ZhuangMDPI AGarticlesuper typhoon LekimaWRF modelphysical parameterization schemesFY-3D MWHS-2data assimilationScienceQENRemote Sensing, Vol 13, Iss 4556, p 4556 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	super typhoon Lekima WRF model physical parameterization schemes FY-3D MWHS-2 data assimilation Science Q
spellingShingle	super typhoon Lekima WRF model physical parameterization schemes FY-3D MWHS-2 data assimilation Science Q Dongmei Xu Xuewei Zhang Hong Li Haiying Wu Feifei Shen Aiqing Shu Yi Wang Xiaoran Zhuang Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
description	In this study, the case of super typhoon Lekima, which landed in Jiangsu and Zhejiang Province on 4 August 2019, is numerically simulated. Based on the Weather Research and Forecasting (WRF) model, the sensitivity experiments are carried out with different combinations of physical parameterization schemes. The results show that microphysical schemes have obvious impacts on the simulation of the typhoon’s track, while the intensity of the simulated typhoon is more sensitive to surface physical schemes. Based on the results of the typhoon’s track and intensity simulation, one parameterization scheme was further selected to provide the background field for the following data assimilation experiments. Using the three-dimensional variational (3DVar) data assimilation method, the Microwave Humidity Sounder-2 (MWHS-2) radiance data onboard the Fengyun-3D satellite (FY-3D) were assimilated for this case. It was found that the assimilation of the FY-3D MWHS-2 radiance data was able to optimize the initial field of the numerical model in terms of the model variables, especially for the humidity. Finally, by the inspection of the typhoon’s track and intensity forecast, it was found that the assimilation of FY-3D MWHS-2 radiance data improved the skill of the prediction for both the typhoon’s track and intensity.
format	article
author	Dongmei Xu Xuewei Zhang Hong Li Haiying Wu Feifei Shen Aiqing Shu Yi Wang Xiaoran Zhuang
author_facet	Dongmei Xu Xuewei Zhang Hong Li Haiying Wu Feifei Shen Aiqing Shu Yi Wang Xiaoran Zhuang
author_sort	Dongmei Xu
title	Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
title_short	Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
title_full	Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
title_fullStr	Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
title_full_unstemmed	Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation
title_sort	evaluation of the simulation of typhoon lekima (2019) based on different physical parameterization schemes and fy-3d satellite’s mwhs-2 data assimilation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b8e48caae6b84a4aa6835eb7a4fa475b
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Evaluation of the Simulation of Typhoon Lekima (2019) Based on Different Physical Parameterization Schemes and FY-3D Satellite’s MWHS-2 Data Assimilation

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