Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Processes Controlling Sea Surface Temperature Variability of Ningaloo Nino | |
Guo, Yaru1,2; Li, Yuanlong1,3,4,5; Wang, Fan1,3,4![]() | |
2020-05-01 | |
Source Publication | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
Volume | 33Issue:10Pages:4369-4389 |
Corresponding Author | Li, Yuanlong(liyuanlong@qdio.ac.cn) |
Abstract | A high-resolution (3-8 km) regional oceanic general circulation model is utilized to understand the sea surface temperature (SST) variability of Ningaloo Nino in the southeast Indian Ocean (SEIO). The model reproduces eight Ningaloo Nino events with good fidelity and reveals complicated spatial structures. Mesoscale noises are seen in the warming signature and confirmed by satellite microwave SST data. Model experiments are carried out to quantitatively evaluate the effects of key processes. The results reveal that the surface turbulent heat flux (primarily latent heat flux) is the most important process (contribution > 68%) in driving and damping the SST warming for most events, while the roles of the Indonesian Throughflow (similar to 15%) and local wind forcing are secondary. A suitable air temperature warming is essential to reproducing the reduced surface latent heat loss during the growth of SST warming (similar to 66%), whereas the effect of the increased air humidity is negligibly small (1%). The established SST warming in the mature phase causes increased latent heat loss that initiates the decay of warming. A 20-member ensemble simulation is performed for the 2010/11 super Ningaloo Nino, which confirms the strong influence of ocean internal processes in the redistribution of SST warming signatures. Oceanic eddies can dramatically modulate the magnitudes of local SST warming, particularly in offshore areas where the "signal-to-noise" ratio is low, raising a caution for evaluating the predictability of Ningaloo Nino and its environmental consequences. |
Keyword | Indian Ocean Sea surface temperature Interannual variability |
DOI | 10.1175/JCLI-D-19-0698.1 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China (NSFC)[41776001] ; National Natural Science Foundation of China (NSFC)[41806001] ; National Key R&D Program of China[2019YFA0606702] ; National Program on Global Change and Air-Sea Interaction[GASI-IPOVAI-01-01] |
WOS Research Area | Meteorology & Atmospheric Sciences |
WOS Subject | Meteorology & Atmospheric Sciences |
WOS ID | WOS:000565177600012 |
Publisher | AMER METEOROLOGICAL SOC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.qdio.ac.cn/handle/337002/168496 |
Collection | 海洋环流与波动重点实验室 |
Corresponding Author | Li, Yuanlong |
Affiliation | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Ocean Dynam & Climate, Qingdao, Peoples R China 5.CAS Ctr Excellence Quaternary Sci & Global Change, Xian, Peoples R China 6.Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao, Peoples R China |
First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences; Center for Ocean Mega-Science, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Guo, Yaru,Li, Yuanlong,Wang, Fan,et al. Processes Controlling Sea Surface Temperature Variability of Ningaloo Nino[J]. JOURNAL OF CLIMATE,2020,33(10):4369-4389. |
APA | Guo, Yaru,Li, Yuanlong,Wang, Fan,Wei, Yuntao,&Rong, Zengrui.(2020).Processes Controlling Sea Surface Temperature Variability of Ningaloo Nino.JOURNAL OF CLIMATE,33(10),4369-4389. |
MLA | Guo, Yaru,et al."Processes Controlling Sea Surface Temperature Variability of Ningaloo Nino".JOURNAL OF CLIMATE 33.10(2020):4369-4389. |
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