36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts

This paper outlines some important aspects of modeling oceanic fronts in the context of featureoriented regional modeling for the deep sea and the Global Coastal Ocean. Previously developed forms of feature models for different types of fronts are presented in a generalized approach. The large-scale...

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Main Authors: Avijit Gangopadhyay A, Allan R. Robinson B
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2002
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2725
http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.324.2725 2023-05-15T17:34:26+02:00 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts Avijit Gangopadhyay A Allan R. Robinson B The Pennsylvania State University CiteSeerX Archives 2002 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2725 http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2725 http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf Coastal region Feature-oriented regional modeling Oceanic fronts text 2002 ftciteseerx 2016-09-04T00:26:14Z This paper outlines some important aspects of modeling oceanic fronts in the context of featureoriented regional modeling for the deep sea and the Global Coastal Ocean. Previously developed forms of feature models for different types of fronts are presented in a generalized approach. The large-scale meandering frontal systems such as the Gulf Stream, Kuroshio and Brazil current can be represented by velocity-based feature models. Buoyancy forced coastal water mass fronts, such as the coastal currents, the tidal fronts, plume fronts, dense water fronts and inflow/outflow fronts can be represented by a generalized parameterized water mass feature model. The interface region of the deep ocean and the coastal region can be modeled by a melding of two water masses along and across a prescribed isobath in the form of a shelf-break front. Initialization and/or updating fields for a regional dynamical model can then be established in association with other available synoptic data sets via a feature-oriented strategic sampling approach for forecasting and dynamical balances. Example simulations from the western north Atlantic (WNA) and the strait of Sicily region are presented in support of the applicability of this approach for the Global Coastal Ocean. Simulations in the strait of Sicily region with fronts, eddies and background climatology help provide a perspective on dynamical processes in this region. Application of this methodology for rapid assessment of any regional ocean, based on limited data and resources is now possible. Text North Atlantic Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Coastal region
Feature-oriented regional modeling
Oceanic fronts
spellingShingle Coastal region
Feature-oriented regional modeling
Oceanic fronts
Avijit Gangopadhyay A
Allan R. Robinson B
36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
topic_facet Coastal region
Feature-oriented regional modeling
Oceanic fronts
description This paper outlines some important aspects of modeling oceanic fronts in the context of featureoriented regional modeling for the deep sea and the Global Coastal Ocean. Previously developed forms of feature models for different types of fronts are presented in a generalized approach. The large-scale meandering frontal systems such as the Gulf Stream, Kuroshio and Brazil current can be represented by velocity-based feature models. Buoyancy forced coastal water mass fronts, such as the coastal currents, the tidal fronts, plume fronts, dense water fronts and inflow/outflow fronts can be represented by a generalized parameterized water mass feature model. The interface region of the deep ocean and the coastal region can be modeled by a melding of two water masses along and across a prescribed isobath in the form of a shelf-break front. Initialization and/or updating fields for a regional dynamical model can then be established in association with other available synoptic data sets via a feature-oriented strategic sampling approach for forecasting and dynamical balances. Example simulations from the western north Atlantic (WNA) and the strait of Sicily region are presented in support of the applicability of this approach for the Global Coastal Ocean. Simulations in the strait of Sicily region with fronts, eddies and background climatology help provide a perspective on dynamical processes in this region. Application of this methodology for rapid assessment of any regional ocean, based on limited data and resources is now possible.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Avijit Gangopadhyay A
Allan R. Robinson B
author_facet Avijit Gangopadhyay A
Allan R. Robinson B
author_sort Avijit Gangopadhyay A
title 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
title_short 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
title_full 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
title_fullStr 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
title_full_unstemmed 36 (2002) 201–232 Feature-oriented regional modeling of oceanic fronts
title_sort 36 (2002) 201–232 feature-oriented regional modeling of oceanic fronts
publishDate 2002
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2725
http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf
genre North Atlantic
genre_facet North Atlantic
op_source http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2725
http://robinson.seas.harvard.edu/PAPERS/dao_ag_arr_fronts.pdf
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