Mathematical Modeling in Studies of Arctic Ocean Circulation

A hierarchy of mathematical models adapted to certain physical phenomena of the Arctic Ocean has been developed. The density structure of the Arctic Ocean water is characterized by a well-marked stratification. This allows us to describe it by means of models with a discrete stratification. In this...

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Main Authors: Doronin, N. Yu, Proshutinsky, A. Yu
Other Authors: ARCTIC AND ANTARCTIC RESEARCH INST LENINGRAD (USSR)
Format: Text
Language:English
Published: 1992
Subjects:
ICE
Online Access:http://www.dtic.mil/docs/citations/ADP007304
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP007304
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spelling ftdtic:ADP007304 2023-05-15T14:55:21+02:00 Mathematical Modeling in Studies of Arctic Ocean Circulation Doronin, N. Yu Proshutinsky, A. Yu ARCTIC AND ANTARCTIC RESEARCH INST LENINGRAD (USSR) 1992-03 text/html http://www.dtic.mil/docs/citations/ADP007304 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP007304 en eng http://www.dtic.mil/docs/citations/ADP007304 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS Atmospheric Physics Physical and Dynamic Oceanography Test Facilities Equipment and Methods *CIRCULATION *MATHEMATICAL MODELS *OCEAN MODELS ARCTIC OCEAN ATMOSPHERICS BAROMETRIC PRESSURE CYCLES DENSITY DEPTH DRIFT EQUATIONS ESTIMATES ICE MODELS OCEANS OSCILLATION RIVERS RUNOFF SEA LEVEL STRATIFICATION THREE DIMENSIONAL VELOCITY WATER WIND ENVIRONMENTAL IMPACT GREENHOUSE EFFECT *Global climate change Component Reports Text 1992 ftdtic 2016-02-19T17:39:30Z A hierarchy of mathematical models adapted to certain physical phenomena of the Arctic Ocean has been developed. The density structure of the Arctic Ocean water is characterized by a well-marked stratification. This allows us to describe it by means of models with a discrete stratification. In this context a two dimensional model of the upper 200 m of the ocean can be considered as the lowest level of a hierarchy of models. With the help of this model, coupled with the ice drift model, seasonal oscillations of sea level, and variability of barotropic water circulation in the annual cycle, affected by wind, atmospheric pressure, and river runoff, were studied. The same model is used to successfully predict level oscillations and ice drift up to 6 days in advance. The multi-layer models are suggested as models of the second level. For example, energy concentration in the upper layer of the ocean, the main property of baroclinicity, is well simulated in the two-layer version. The advantage of these models as compared with those of the first level, is that the depth of the interface is given as a solution. The diagnostic two-layer model is quite simple to use on small computers. The prognostic two-layer model allows one to estimate the time when the water circulation becomes stationary in the ocean of real depth. The diagnostic three-dimensional ocean model with a continuous stratification is suggested as the third level model. The elliptical equation relative to denivelation of the free surface is the governing equation of the model. The estimation of the terms of the motion and continuity equations indicates the need to introduce geostrophic corrections for non-linear effects and a horizontal turbulent exchange when calculating vertical current velocity. This article is from 'Proceedings of the International Conference on the Role of the Polar Regions in Global Change Held in Fairbanks, Alaska on 11-15 June 1990. Volume 1', AD-A253 027, p310-316. See also Volume 2, AD-A253 028. Text Arctic Arctic Ocean Climate change Alaska Defense Technical Information Center: DTIC Technical Reports database Arctic Arctic Ocean Fairbanks
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Atmospheric Physics
Physical and Dynamic Oceanography
Test Facilities
Equipment and Methods
*CIRCULATION
*MATHEMATICAL MODELS
*OCEAN MODELS
ARCTIC OCEAN
ATMOSPHERICS
BAROMETRIC PRESSURE
CYCLES
DENSITY
DEPTH
DRIFT
EQUATIONS
ESTIMATES
ICE
MODELS
OCEANS
OSCILLATION
RIVERS
RUNOFF
SEA LEVEL
STRATIFICATION
THREE DIMENSIONAL
VELOCITY
WATER
WIND
ENVIRONMENTAL IMPACT
GREENHOUSE EFFECT
*Global climate change
Component Reports
spellingShingle Atmospheric Physics
Physical and Dynamic Oceanography
Test Facilities
Equipment and Methods
*CIRCULATION
*MATHEMATICAL MODELS
*OCEAN MODELS
ARCTIC OCEAN
ATMOSPHERICS
BAROMETRIC PRESSURE
CYCLES
DENSITY
DEPTH
DRIFT
EQUATIONS
ESTIMATES
ICE
MODELS
OCEANS
OSCILLATION
RIVERS
RUNOFF
SEA LEVEL
STRATIFICATION
THREE DIMENSIONAL
VELOCITY
WATER
WIND
ENVIRONMENTAL IMPACT
GREENHOUSE EFFECT
*Global climate change
Component Reports
Doronin, N. Yu
Proshutinsky, A. Yu
Mathematical Modeling in Studies of Arctic Ocean Circulation
topic_facet Atmospheric Physics
Physical and Dynamic Oceanography
Test Facilities
Equipment and Methods
*CIRCULATION
*MATHEMATICAL MODELS
*OCEAN MODELS
ARCTIC OCEAN
ATMOSPHERICS
BAROMETRIC PRESSURE
CYCLES
DENSITY
DEPTH
DRIFT
EQUATIONS
ESTIMATES
ICE
MODELS
OCEANS
OSCILLATION
RIVERS
RUNOFF
SEA LEVEL
STRATIFICATION
THREE DIMENSIONAL
VELOCITY
WATER
WIND
ENVIRONMENTAL IMPACT
GREENHOUSE EFFECT
*Global climate change
Component Reports
description A hierarchy of mathematical models adapted to certain physical phenomena of the Arctic Ocean has been developed. The density structure of the Arctic Ocean water is characterized by a well-marked stratification. This allows us to describe it by means of models with a discrete stratification. In this context a two dimensional model of the upper 200 m of the ocean can be considered as the lowest level of a hierarchy of models. With the help of this model, coupled with the ice drift model, seasonal oscillations of sea level, and variability of barotropic water circulation in the annual cycle, affected by wind, atmospheric pressure, and river runoff, were studied. The same model is used to successfully predict level oscillations and ice drift up to 6 days in advance. The multi-layer models are suggested as models of the second level. For example, energy concentration in the upper layer of the ocean, the main property of baroclinicity, is well simulated in the two-layer version. The advantage of these models as compared with those of the first level, is that the depth of the interface is given as a solution. The diagnostic two-layer model is quite simple to use on small computers. The prognostic two-layer model allows one to estimate the time when the water circulation becomes stationary in the ocean of real depth. The diagnostic three-dimensional ocean model with a continuous stratification is suggested as the third level model. The elliptical equation relative to denivelation of the free surface is the governing equation of the model. The estimation of the terms of the motion and continuity equations indicates the need to introduce geostrophic corrections for non-linear effects and a horizontal turbulent exchange when calculating vertical current velocity. This article is from 'Proceedings of the International Conference on the Role of the Polar Regions in Global Change Held in Fairbanks, Alaska on 11-15 June 1990. Volume 1', AD-A253 027, p310-316. See also Volume 2, AD-A253 028.
author2 ARCTIC AND ANTARCTIC RESEARCH INST LENINGRAD (USSR)
format Text
author Doronin, N. Yu
Proshutinsky, A. Yu
author_facet Doronin, N. Yu
Proshutinsky, A. Yu
author_sort Doronin, N. Yu
title Mathematical Modeling in Studies of Arctic Ocean Circulation
title_short Mathematical Modeling in Studies of Arctic Ocean Circulation
title_full Mathematical Modeling in Studies of Arctic Ocean Circulation
title_fullStr Mathematical Modeling in Studies of Arctic Ocean Circulation
title_full_unstemmed Mathematical Modeling in Studies of Arctic Ocean Circulation
title_sort mathematical modeling in studies of arctic ocean circulation
publishDate 1992
url http://www.dtic.mil/docs/citations/ADP007304
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP007304
geographic Arctic
Arctic Ocean
Fairbanks
geographic_facet Arctic
Arctic Ocean
Fairbanks
genre Arctic
Arctic Ocean
Climate change
Alaska
genre_facet Arctic
Arctic Ocean
Climate change
Alaska
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/ADP007304
op_rights APPROVED FOR PUBLIC RELEASE
_version_ 1766327142886408192