Interannual Variability and Long-Term Trends in Intensity of the Yellow Sea Cold Water Mass during 1993-2019

被引:7
作者
Yang, Jing [1 ]
Liu, Chunli [1 ,2 ]
Sun, Qiwei [3 ]
Zhai, Li [4 ]
Sun, Qiming [1 ]
Li, Shiji [1 ]
Ai, Libo [1 ]
Li, Xue [5 ]
机构
[1] Shandong Univ, Marine Coll, Weihai 264209, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310051, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 511458, Peoples R China
[4] Fisheries & Oceans Canada, Bedford Inst Oceanog, Ocean & Ecosyst Sci Div, Dartmouth, NS B2Y 4A2, Canada
[5] Jiangsu Ocean Univ, Coinnovat Ctr Jiangsu Marine Bioind Technol, Jiangsu Key Lab Marine Bioresources & Environm, Lianyungang 222005, Peoples R China
关键词
yellow sea cold water mass; variability; intensity; wavelet analysis; physical environmental factors; SEASONAL EVOLUTION; INTERDECADAL VARIABILITY; WAVELET COHERENCE; TEMPERATURE; POOL; CIRCULATION; MODEL; GYRE;
D O I
10.3390/jmse11101888
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The Yellow Sea Cold Water Mass (YSCWM) is an important component of the hydrodynamic system and it significantly impacts the primary production of the Yellow Sea. This study investigated the difference in the interannual variability and long-term trends between the northern YSCWM (NYSCWM) and southern YSCWM (SYSCWM), and explored the main physical environmental factors that led to their inconsistency using multiple wavelet coherence. On the interannual scale, the intensities of the NYSCWM and SYSCWM exhibited consistent variability, but the intensity of the SYSCWM had a larger standard deviation and longer periodic signal than that of the NYSCWM. The two-factor combination of surface air temperature (SAT)-Nino 3.4 in the NYSCWM and sea surface temperature (SST)-northward seawater velocity (Vgos) in the SYSCWM controlled the interannual variability, which meant the influencing intensity variability differed in the NYSCWM and SYSCWM. In the long-term trend, the intensities of the NYSCWM and SYSCWM both showed decreasing trends during the study period. However, the enhanced circulation provided more horizontal heat input into the SYSCWM, and the relatively higher increase in SST and decrease in the amplitude of variation in the thermocline depth promoted vertical heat exchange in the SYSCWM, thereby making the intensity of the SYSCWM decrease more quickly than that of the NYSCWM. These findings provide important references that facilitate a deeper understanding of the influence of hydrological processes on marine ecosystems in marginal seas.
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页数:16
相关论文
共 63 条
[1]   Processes that influence sea surface temperature and ocean mixed layer depth variability in a coupled model [J].
Alexander, MA ;
Scott, JD ;
Deser, C .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2000, 105 (C7) :16823-16842
[2]  
Beardsley R., 1992, La mer, V30, P297
[3]   Observations and analyses of upper ocean responses to tropical storms and hurricanes in the vicinity of Bermuda [J].
Black, W. J. ;
Dickey, T. D. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C8)
[4]  
Bonjean F, 2002, J PHYS OCEANOGR, V32, P2938, DOI 10.1175/1520-0485(2002)032<2938:DMAAOT>2.0.CO
[5]  
2
[6]   Observations of a seasonal jet-like circulation at the central North Sea cold pool margin [J].
Brown, J ;
Hill, AE ;
Fernand, L ;
Horsburgh, KJ .
ESTUARINE COASTAL AND SHELF SCIENCE, 1999, 48 (03) :343-355
[7]  
Cushman-Roisin B., 2011, INTRO GEOPHYFLUID
[8]  
Du B., 1996, Mar. Sci. Bull, V15, P17
[9]   The Sandwich Structure of the Southern Yellow Sea Cold Water Mass and Yellow Sea Warm Current [J].
Fei, Yu ;
Qiang, Ren ;
Xinyuan, Diao ;
Chuanjie, Wei ;
Yibo, Hu .
FRONTIERS IN MARINE SCIENCE, 2022, 8
[10]   Application of the cross wavelet transform and wavelet coherence to geophysical time series [J].
Grinsted, A ;
Moore, JC ;
Jevrejeva, S .
NONLINEAR PROCESSES IN GEOPHYSICS, 2004, 11 (5-6) :561-566