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dc.contributor.authorJin, Meibing
dc.date.accessioned2020-04-09T23:14:04Z
dc.date.available2020-04-09T23:14:04Z
dc.date.issued2014-01
dc.identifier.urihttp://hdl.handle.net/11122/10972
dc.description.abstractIn the Arctic Ocean, both phytoplankton and sea ice algae are important contributors to the primary production and the arctic food web. Copepod in the arctic regions have developed their feeding habit depending on the timing between the ice algal bloom and the subsequent phytoplankton bloom. A mismatch of the timing due to climate changes could have dramatic consequences on the food web as shown by some regional observations. In this study, a global coupled ice- ocean-ecosystem model was used to assess the seasonality of the ice algal and phytoplankton blooms in the arctic. The ice-ocean ecosystem modules are fully coupled in the physical model POP-CICE (Parallel Ocean Program- Los Alamos Sea Ice Model). The model results are compared with various observations. The modeled ice and ocean carbon production were analyzed by regions and their linkage to the physical environment changes (such as changes of ice concentration and water temperature, and light intensity etc.) between low- and high-ice years. A model sensitivity run is conducted to investigate how sea ice permeability of gas may change the model bias in the arctic basin.en_US
dc.description.sponsorshipDepartment of Energy, EPSCoR, JAMSTEC-IARC Research Agreement, NSF ARC-0652838en_US
dc.language.isoen_USen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Biology::Terrestrial, freshwater and marine ecology::Marine ecologyen_US
dc.titleModeling of Ice Algal and Pelagic Production and Air-Sea CO2 Exchange in the Arctic Oceanen_US
dc.typePosteren_US
refterms.dateFOA2020-04-09T23:14:04Z


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