Influence of surface layer schemes on tropical cyclone Hato (2017) intensity
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作者:
Ma, Xiaoling
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Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai, Peoples R China
Piesat Informat Technol Co Ltd, Beijing, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Ma, Xiaoling
[1
,2
,3
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Li, Jiangnan
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机构:
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Li, Jiangnan
[1
,2
,5
]
Pang, Simin
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机构:
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Pang, Simin
[1
,2
]
Guo, Tianyun
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机构:
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Guo, Tianyun
[1
,2
]
Ding, Chenghui
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Haikou Meteorol Bur, Haikou, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Ding, Chenghui
[4
]
机构:
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
[2] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai, Peoples R China
[3] Piesat Informat Technol Co Ltd, Beijing, Peoples R China
[4] Haikou Meteorol Bur, Haikou, Peoples R China
[5] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Three surface layer schemes (MYNN, ETA, and MM5) in the Weather Research and Forecasting (WRF 4.1) model were selected to conduct simulation experiments for tropical cyclone (TC) Hato (2017). The influence of different surface layer schemes on TC intensity was compared. Although the planetary boundary layer and land surface schemes were the same, surface layer schemes minimally affected TC tracks but significantly affected TC in-tensity. The highest correlation coefficient and smallest bias and root mean square error between the simulated TC intensity in the ETA and observations. The TC intensity simulated using ETA was the strongest and closest to the observations. The surface latent heat fluxes simulated using ETA at the time of the TC landing were 1200-1500 W/m2, and is 800-1200 W/m2 by MM5 and MYNN, respectively. The surface sensible heat flux simulated using ETA was 400-800 W/m2 and that simulated using MM5 and MYNN was 200-400 W/m2. The equivalent potential temperature and radial wind simulated using ETA were significantly higher than those simulated using MM5 and MYNN. The larger the energy transmitted from the surface to the tropical cyclone, the stronger the TC. The dynamic structural characteristics were consistent with the tropical cyclone intensity. The ETA indicated the strongest unstable planetary boundary layer structure, stronger convergence at the lower layer, divergence at the upper layer, vertical transport, and absolute angular momentum, and induced the for-mation of the strongest TC. The comparison results revealed that the surface fluxes from different surface layer schemes can affect the dynamic and thermal structures of the planetary boundary layer owing to the different stability functions. The surface fluxes were also affected by the temperature and wind in the planetary boundary layer. This interaction between the surface layer and planetary boundary layer affects the eye structure and secondary circulation of the TC and TC intensity.
机构:
Inner Mongolia Univ Technol, Coll Energy & Power Engn, Hohhot, Peoples R ChinaInner Mongolia Univ Technol, Coll Energy & Power Engn, Hohhot, Peoples R China
Zhang, Zhenxi
Zhou, Wen
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City Univ Hong Kong, Sch Energy & Environm, Kowloon, Tat Chee Ave, Hong Kong, Peoples R ChinaInner Mongolia Univ Technol, Coll Energy & Power Engn, Hohhot, Peoples R China
机构:
Climate Ctr Jiangsu Prov, Nanjing 210000, Peoples R ChinaClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China
Ren, Yifang
Zhang, Jun A.
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机构:
Univ Miami, NOAA AOML, Hurricane Res Div, Miami, FL 33149 USA
Univ Miami, Cooperat Inst Marine & Atmospher Studies, Miami, FL 33149 USAClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China
Zhang, Jun A.
Vigh, Jonathan L.
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机构:
Natl Ctr Atmospher Res, Joint Numer Testbed Program, Res Applicat Lab, Boulder, CO 80305 USAClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China
Vigh, Jonathan L.
Zhu, Ping
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机构:
Florida Int Univ, Dept Earth & Environm, Miami, FL 33149 USAClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China
Zhu, Ping
Liu, Hailong
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机构:
Shanghai Jiao Tong Univ, Inst Oceanog, Shanghai 200000, Peoples R ChinaClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China
Liu, Hailong
Wang, Xiang
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机构:
Nanjing Univ Informat Sci & Technol, Joint Ctr Data Assimilat Res & Applicat, Nanjing 210000, Peoples R ChinaClimate Ctr Jiangsu Prov, Nanjing 210000, Peoples R China