A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas  被引量:1

A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas

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作  者:Jin Meibing Clara Deal Wang Jia 

机构地区:[1]International Arctic Research Center, University of Alaska Fairbanks, USA [2]Great Lakes Environmental Research Lab, NOAA, USA

出  处:《Chinese Journal of Polar Science》2008年第2期218-229,共12页极地研究(英文版)

基  金:supported by North Pacific Research Board(NPRB) grant 607(paper contribution number 202);NSF grant ARC-0652838;DOE/EPSCoR grant DE-FG02-08ER46502.This is GLERL Contribution No.1499 and DOE/EPS-CoR;International Arctic Research Center,University of Alaska Fairbanks supported this study through the JAMSTEC-IARC Research Agreement.

摘  要:Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice. Here pelagic and sea ice algal ecosystems coexist and interact with each other. Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea. The biological model includes both pelagic and sea ice algal habitats with 10 compartments: three phytoplankton (pelagic diatom, flagellates and ice algae: D, F, and Ai) , three zooplankton (copepods, large zooplankton, and microzooplankton : ZS, ZL, ZP) , three nutrients ( nitrate + nitrite, ammonium, silicon : NO3 , NH4, Si) and detritus (Det). The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model. The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model. Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice. Here pelagic and sea ice algal ecosystems coexist and interact with each other. Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea. The biological model includes both pelagic and sea ice algal habitats with 10 compartments: three phytoplankton (pelagic diatom, flagellates and ice algae: D, F, and Ai) , three zooplankton (copepods, large zooplankton, and microzooplankton : ZS, ZL, ZP) , three nutrients ( nitrate + nitrite, ammonium, silicon : NO3 , NH4, Si) and detritus (Det). The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model. The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model. Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.

关 键 词:ecosystem model sea ice OCEAN ice algae phytoplankton. 

分 类 号:P731.15[天文地球—海洋科学] Q141[生物学—生态学]

 

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