2013
DOI: 10.1002/jgrc.20300
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Summer nitrogenous nutrient transport and its fate in the Taiwan Strait: A coupled physical‐biological modeling approach

Abstract: [1] In order to understand the fate of nutrients in the Taiwan Strait during summer, we built a coupled physical-biological numerical ocean model, which can capture the basic hydrographic and biological features within the strait. The nutrient that we chose to model is dissolved inorganic nitrogen (DIN). The model includes individual reservoirs for nitrate (NO 3 ) and ammonium (NH 4 ). Both the observational evidence and model results show that NO 3 in the strait originates primarily from the upwelling subsurf… Show more

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Cited by 29 publications
(17 citation statements)
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References 47 publications
(63 reference statements)
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“…Coupled physical and biological models have been applied to study upwelling and its associated biogeochemical responses in the Bohai Sea [ Zhang et al ., ; Wang et al ., ]. Another coupled physical‐biological numerical ocean model estimated the physical (i.e., coastal upwelling) and biological effects on nutrient transport in the TWS during summer [ J. Wang et al ., ]. These results indicated that high phytoplankton biomass appears in the upwelling region.…”
Section: Progress Of Upwelling Studies In the China Seasmentioning
confidence: 75%
“…Coupled physical and biological models have been applied to study upwelling and its associated biogeochemical responses in the Bohai Sea [ Zhang et al ., ; Wang et al ., ]. Another coupled physical‐biological numerical ocean model estimated the physical (i.e., coastal upwelling) and biological effects on nutrient transport in the TWS during summer [ J. Wang et al ., ]. These results indicated that high phytoplankton biomass appears in the upwelling region.…”
Section: Progress Of Upwelling Studies In the China Seasmentioning
confidence: 75%
“…To achieve a better understanding of the nutrient sources sustaining the bloom patch, we diagnosed the nutrient balance in the tracer equation from model outputs. Diagnostically, the temporal variation of nutrient concentration was decomposed into the terms presented in equation (1) [ Shchepetkin and McWilliams , ; Wang et al ., ]:…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…ROMS is a free‐surface, hydrostatic ocean model solving the primitive equations on topography‐following coordinates [ Shchepetkin and McWilliams , ]. The physical model was from the operational Taiwan Strait Nowcast\Forecast system (TFOR), which provides multipurpose oceanic simulations [ Jiang et al ., ; Liao et al ., ; Wang et al ., ]. Although the orthogonal curvilinear grid of TFOR (Figure a) was centered in the Taiwan Strait, the spatial resolution in the vicinity of LS was finer than 10 km and was adequate for the scope of this study.…”
Section: Model and Methodsmentioning
confidence: 99%
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“…Hydrographic and satellite data revealed evident teleconnections between the TWS upwelling and the ENSO variability. Besides, Wang et al [59] estimated the physical (i.e., coastal upwelling) and biological effects on the nutrient transport in the TWS during summer through a coupled physical-biological numerical ocean model. These studies concluded that the TWS upwelling has a profound impact on biogeochemical processes, biological productivity, and ecosystem structure.…”
Section: Tws Upwelling and Its Responses To Enso And Local Environmenmentioning
confidence: 99%