Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array
文献类型：期刊论文
| 作者 | Zhang, Han4; Liu, Xiaohui4; Wu, Renhao4,5,6; Liu, Fu1,7; Yu, Linghui8; Shang, Xiaodong8; Qi, Yongfeng8; Wang, Yuan; Song, Xunshu; Xie, Xiaohui |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 11期号:20页码:2360 |
| 关键词 | ocean response tropical cyclone typhoon temperature anomaly salinity anomaly wind speed sea surface mixed layer South China Sea |
| DOI | 10.3390/rs11202360 |
| 英文摘要 | Tropical cyclones (TCs) are natural disasters for coastal regions. TCs with maximum wind speeds higher than 32.7 m/s in the north-western Pacific are referred to as typhoons. Typhoons Sarika and Haima successively passed our moored observation array in the northern South China Sea in 2016. Based on the satellite data, the winds (clouds and rainfall) biased to the right (left) sides of the typhoon tracks. Sarika and Haima cooled the sea surface similar to 4 and similar to 2 degrees C and increased the salinity similar to 1.2 and similar to 0.6 psu, respectively. The maximum sea surface cooling occurred nearly one day after the two typhoons. Station 2 (S2) was on left side of Sarika's track and right side of Haima's track, which is studied because its data was complete. Strong near-inertial currents from the ocean surface toward the bottom were generated at S2, with a maximum mixed-layer speed of similar to 80 cm/s. The current spectrum also shows weak signal at twice the inertial frequency (2f). Sarika deepened the mixed layer, cooled the sea surface, but warmed the subsurface by similar to 1 degrees C. Haima subsequently pushed the subsurface warming anomaly into deeper ocean, causing a temperature increase of similar to 1.8 degrees C therein. Sarika and Haima successively increased the heat content anomaly upper than 160 m at S2 to similar to 50 and similar to 100 m degrees C, respectively. Model simulation of the two typhoons shows that mixing and horizontal advection caused surface ocean cooling, mixing and downwelling caused subsurface warming, while downwelling warmed the deeper ocean. It indicates that Sarika and Haima sequentially modulated warm water into deeper ocean and influenced internal ocean heat budget. Upper ocean salinity response was similar to temperature, except that rainfall refreshed sea surface and caused a successive salinity decrease of similar to 0.03 and similar to 0.1 psu during the two typhoons, changing the positive subsurface salinity anomaly to negative |
| 资助机构 | National Program on Global Change and Air-Sea Interaction [GASI-IPOVAI-04]; China Ocean Mineral Resources Research and Development Association Program [DY135-E2-3-01]; Scientific Research Fund of the Second Institute of Oceanography, MNR [JG1813]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41806021, 41730535, 41705048, 41621064, 41630970, 41876022]; Instrument Developing Project of the CAS [YZ201432]; National Key R&D Program of China [2018YFC1506403] ; National Program on Global Change and Air-Sea Interaction [GASI-IPOVAI-04]; China Ocean Mineral Resources Research and Development Association Program [DY135-E2-3-01]; Scientific Research Fund of the Second Institute of Oceanography, MNR [JG1813]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41806021, 41730535, 41705048, 41621064, 41630970, 41876022]; Instrument Developing Project of the CAS [YZ201432]; National Key R&D Program of China [2018YFC1506403] |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18214]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Nanjing Univ, Key Lab Mesoscale Severe Weather, MOE, Nanjing 210023, Jiangsu, Peoples R China 2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China 3.Helmholtz Zentrum Geesthacht, Inst Coastal Res, D-21502 Geesthacht, Germany 4.Second Inst Oceanog, Minist Nat Resources, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Zhejiang, Peoples R China 5.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China 6.Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519082, Peoples R China 7.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China 8.Nanjing Univ, Sch Atmospher Sci, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Han,Liu, Xiaohui,Wu, Renhao,et al. Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array[J]. REMOTE SENSING,2019,11(20):2360. |
| APA | Zhang, Han.,Liu, Xiaohui.,Wu, Renhao.,Liu, Fu.,Yu, Linghui.,...&wenyan.zhang@hzg.de.(2019).Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array.REMOTE SENSING,11(20),2360. |
| MLA | Zhang, Han,et al."Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array".REMOTE SENSING 11.20(2019):2360. |
入库方式： OAI收割
来源：南海海洋研究所
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