Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Skill Assessment of an Atmosphere-Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons | |
Li, Delei1,2,3; Staneva, Joanna4; Grayek, Sebastian4; Behrens, Arno4; Feng, Jianlong5; Yin, Baoshu1,2,3,6 | |
2020-03-01 | |
Source Publication | ATMOSPHERE
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Volume | 11Issue:3Pages:25 |
Corresponding Author | Yin, Baoshu(bsyin@qdio.ac.cn) |
Abstract | This study performed several sensitivity experiments to investigate the impact of atmosphere-wave coupling on the simulated wind and waves over the East China Sea (ECS) with a focus on typhoon events. These experiments include stand-alone regional atmosphere model (CCLM) simulations, stand-alone spectral wave model (WAM) simulations driven by the regional atmospheric model CCLM or ERA5 reanalysis, and two-way (CCLM-WAM) coupled simulations. We assessed the simulated wind speed and significant wave height against in situ observations and remote sensing data and focused on typhoon events in 2010. We analyzed the differences between the experiments in capturing the surface pressure, wind speed, and roughness length. Both ERA5 reanalysis data and our regional model simulations demonstrate high quality in capturing wind and wave conditions over the ECS. The results show that downscaled simulations tend to be closer to in situ observations than ERA5 reanalysis data in capturing wind variability and probability distribution, dominant wind and wave directions, strong typhoon intensity and related extreme significant wave height. In comparison with satellite observations, the CCLM-WAM simulation outperforms the CCLM in reducing wind bias. The coupled and uncoupled simulations are very similar in terms of other wind and wave statistics. Though there is much improvement in capturing typhoon intensity to ERA5, regional downscaled simulations still underestimate the wind intensity of tropical cyclones. |
Keyword | atmosphere-wave coupled model East China Sea wind wave tropical cyclones |
DOI | 10.3390/atmos11030252 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key Research and Development Program of China[2017YFA0604100] ; National Natural Science Foundation of China[41706019] ; National Natural Science Foundation of China[41706020] ; NSFC-Shandong Joint Fund[U1806227] ; Initiative and Networking Fund of the Helmholtz Association |
WOS Research Area | Meteorology & Atmospheric Sciences |
WOS Subject | Meteorology & Atmospheric Sciences |
WOS ID | WOS:000524490500089 |
Publisher | MDPI |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.qdio.ac.cn/handle/337002/167182 |
Collection | 海洋环流与波动重点实验室 |
Corresponding Author | Yin, Baoshu |
Affiliation | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 4.Helmholtz Zentrum Geesthacht, Inst Coastal Res, D-21502 Geesthacht, Germany 5.Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin 300457, Peoples R China 6.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100864, Peoples R China |
First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Li, Delei,Staneva, Joanna,Grayek, Sebastian,et al. Skill Assessment of an Atmosphere-Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons[J]. ATMOSPHERE,2020,11(3):25. |
APA | Li, Delei,Staneva, Joanna,Grayek, Sebastian,Behrens, Arno,Feng, Jianlong,&Yin, Baoshu.(2020).Skill Assessment of an Atmosphere-Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons.ATMOSPHERE,11(3),25. |
MLA | Li, Delei,et al."Skill Assessment of an Atmosphere-Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons".ATMOSPHERE 11.3(2020):25. |
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