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, Guandong1,2,3,4; Yang, Dezhou1,2,3,4; Xu, Lingjing1,2,4; Zhang, Kun1,2; Feng, Xingru1,2,3,4; Yin, Baoshu1,2,3,4
2022-11-01
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN2169-9275
Volume127Issue:11Pages:23
Corresponding AuthorYang, Dezhou(yangdezhou@qido.ac.cn) ; Yin, Baoshu(bsyin@qdio.ac.cn)
AbstractA 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.
DOI10.1029/2022JC018835
Indexed BySCI
Language英语
WOS Research AreaOceanography
WOS SubjectOceanography
WOS IDWOS:000888587300001
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/180232
Collection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
Corresponding AuthorYang, Dezhou; Yin, Baoshu
Affiliation1.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
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences;  Institute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences;  Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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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