Principal Investigator(s): (Include name, affiliation and email address):

Summary of Proposed Work (250 words or less): To contribute to the development of an Integrated Ecosystem Research Program (IERP) for the Bering Sea, we propose to perform retrospective (1955-2005) and future (2005-2055) model analyses of the Bering Sea integrated ice ecosystem response to forcing b...

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Bibliographic Details
Main Authors: Dr. Richard, T. Barber
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2006
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4153
http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.416.4153 2023-05-15T15:06:04+02:00 Principal Investigator(s): (Include name, affiliation and email address): Dr. Richard T. Barber The Pennsylvania State University CiteSeerX Archives 2006 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4153 http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4153 http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf text 2006 ftciteseerx 2016-01-08T03:40:28Z Summary of Proposed Work (250 words or less): To contribute to the development of an Integrated Ecosystem Research Program (IERP) for the Bering Sea, we propose to perform retrospective (1955-2005) and future (2005-2055) model analyses of the Bering Sea integrated ice ecosystem response to forcing by climate and the adjacent North Pacific and Arctic Oceans. The objective is to identify the climatic, oceanic and ice processes that regulate timing, quantity and quality of the Bering Sea spring bloom, which is essential for recruitment of a strong year class of young fish. The retrospective analysis, based on actual observations, will focus on variability in the seasonal, annual and decadal forcing that affects ecosystem properties. The future analysis will be forced by output from ocean/atmosphere models forced with (and without) increasing carbon dioxide in the atmosphere. The high resolution ROMS physical model for the Bering Sea will interface with a sea ice model as well as the CoSINE ecosystem model, a 12 component model used by our group in previous studies in the equatorial and North Pacific Ocean. Adding an independent ice model and direct ice observations to the existing ROMS CoSINE model analyses will provide greatly improved predictive understanding of the Text Arctic Bering Sea Sea ice Unknown Arctic Bering Sea Pacific
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description Summary of Proposed Work (250 words or less): To contribute to the development of an Integrated Ecosystem Research Program (IERP) for the Bering Sea, we propose to perform retrospective (1955-2005) and future (2005-2055) model analyses of the Bering Sea integrated ice ecosystem response to forcing by climate and the adjacent North Pacific and Arctic Oceans. The objective is to identify the climatic, oceanic and ice processes that regulate timing, quantity and quality of the Bering Sea spring bloom, which is essential for recruitment of a strong year class of young fish. The retrospective analysis, based on actual observations, will focus on variability in the seasonal, annual and decadal forcing that affects ecosystem properties. The future analysis will be forced by output from ocean/atmosphere models forced with (and without) increasing carbon dioxide in the atmosphere. The high resolution ROMS physical model for the Bering Sea will interface with a sea ice model as well as the CoSINE ecosystem model, a 12 component model used by our group in previous studies in the equatorial and North Pacific Ocean. Adding an independent ice model and direct ice observations to the existing ROMS CoSINE model analyses will provide greatly improved predictive understanding of the
author2 The Pennsylvania State University CiteSeerX Archives
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author Dr. Richard
T. Barber
spellingShingle Dr. Richard
T. Barber
Principal Investigator(s): (Include name, affiliation and email address):
author_facet Dr. Richard
T. Barber
author_sort Dr. Richard
title Principal Investigator(s): (Include name, affiliation and email address):
title_short Principal Investigator(s): (Include name, affiliation and email address):
title_full Principal Investigator(s): (Include name, affiliation and email address):
title_fullStr Principal Investigator(s): (Include name, affiliation and email address):
title_full_unstemmed Principal Investigator(s): (Include name, affiliation and email address):
title_sort principal investigator(s): (include name, affiliation and email address):
publishDate 2006
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4153
http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf
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http://doc.nprb.org/web/emc/nprb_modeling_prjs/608 Chai, Chao, McWilliams, Nghiem, de Charon.pdf
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