A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island

doi:10.1029/2022JC018835

IOCAS-IR > 海洋环流与波动重点实验室

	A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island
	Gao, Guandong 1,2,3,4; Yang, Dezhou 1,2,3,4; Xu, Lingjing 1,2,4; Zhang, Kun1,2 ; Feng, Xingru 1,2,3,4; Yin, Baoshu 1,2,3,4
	2022-11-01
发表期刊	JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN	2169-9275
卷号	127 期号:11 页码:23
通讯作者	Yang, Dezhou(yangdezhou@qido.ac.cn) ; Yin, Baoshu(bsyin@qdio.ac.cn)
摘要	A physical-biogeochemical model consists of many key parameters; theoretically, 10,000 or more numerical experiments are required to obtain a set of optimal biological parameters. The corresponding computing resources are too expensive when running a three-dimensional and high-resolution physical-biogeochemical model. In this study, we improve the performance of a three-dimensional physical-biogeochemical model via the conditional nonlinear optimal perturbation method for southern Java Island, where chlorophyll blooms occur seasonally. Based on the improved model results, we calculated the mixed-layer nutrient budget, thereby characterizing how each physical process transports nutrients into the surface oligotrophic layer and then stimulates the chlorophyll blooms during the southeast monsoon season. Nutrients that upwell along the submarine slope are found in narrow regions along the coast and spread into most of the study area by local wind-induced offshore transport. The contribution of nonlinearity (advection) is essential to modulating the upslope movement of nutrients off the coast. If local winds are neglected in the model, onshore transport induced by the pressure gradient force in the zonal direction (alongshore) and subsequent downwelling would be dominant, and chlorophyll blooms would diminish in most regions. The role of the South Java Coastal Current varies under the joint influence of remote and local wind forcings. The Indonesian Throughflow from the Lombok Strait also contributes to surface phytoplankton growth along its path off the south of Java Island.
DOI	10.1029/2022JC018835
收录类别	SCI
语种	英语
WOS研究方向	Oceanography
WOS类目	Oceanography
WOS记录号	WOS:000888587300001
出版者	AMER GEOPHYSICAL UNION
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/180232
专题	海洋环流与波动重点实验室海洋生态与环境科学重点实验室
通讯作者	Yang, Dezhou; Yin, Baoshu
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, CAS Engn Lab Marine Ranching, Qingdao, Peoples R China
第一作者单位	海洋环流与波动重点实验室; 中国科学院海洋研究所
通讯作者单位	海洋环流与波动重点实验室; 中国科学院海洋研究所
推荐引用方式 GB/T 7714	Gao, Guandong,Yang, Dezhou,Xu, Lingjing,et al. A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2022,127(11):23.
APA	Gao, Guandong,Yang, Dezhou,Xu, Lingjing,Zhang, Kun,Feng, Xingru,&Yin, Baoshu.(2022).A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,127(11),23.
MLA	Gao, Guandong,et al."A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 127.11(2022):23.

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