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Effect of Sub-grid Turbulent Orographic Form Drag Parameterization on the Simulation of Typhoon Hagupit  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Effect of Sub-grid Turbulent Orographic Form Drag Parameterization on the Simulation of Typhoon Hagupit

作者:Lin, Chun-qiao[1];Wan, Qi-lin[2];Ma, Yu-long[3];Li, Jia-hao[1];Song, Lu-chi[1];Fan, Ling-li[1]

机构:[1]Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang 524088, Guangdong, Peoples R China;[2]China Meteorol Adm, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510640, Peoples R China;[3]Guangdong Hong Kong Macao Greater Bay Area Weather, Shenzhen 518040, Guangdong, Peoples R China

年份:2026

卷号:32

期号:4

起止页码:424

外文期刊名:JOURNAL OF TROPICAL METEOROLOGY

收录:SCI-EXPANDED(收录号:WOS:001866231600008)、、WOS

基金:National Key Research and Development Program of China (2021YFC3000804, 2021YFC3000803)

语种:英文

外文关键词:typhoon precipitation; turbulent orographic form drag; model evaluation

外文摘要:Numerical models are frequently limited in accurately forecasting typhoon precipitation, particularly in areas characterized by intricate topographical features such as Zhejiang. To improve the accuracy of the numerical models in predicting typhoon precipitation, we added turbulent orographic form drag (TOFD) to the global-to-regional integrated forecast system (GRIST) model. The revised model is verified by a case study on Typhoon Hagupit, which made landfall in Zhejiang, China, in 2020. To some extent, the addition of TOFD corrected the deviations in the typhoon landfall time, landfall location, movement speed, and intensity that occurred during model integration. This addition improves the model's prediction of the amount of typhoon rainfall. After the introduction of TOFD, compared with the control experiment, the typhoon had a stronger warm core structure, enhanced low-level radial inflow, and enhanced low-level upward motion, accompanied by more active and extensive low-level convection, which affected typhoon precipitation. The results of this study provide a reference for improved simulation and forecasting of typhoon precipitation using numerical models.

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