Modeling the thickness distribution of Arctic sea ice

Thesis (Ph. D.)--University of Washington, 1998. Arctic sea ice may be unusually sensitive to greenhouse warming, thanks to ice-albedo feedback. Most climate models represent sea ice crudely, with each grid cell occupied by ice of uniform thickness together with open water, when in reality the ice r...

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Main Author: Lipscomb, William H
Format: Thesis
Language:English
Published: 1998
Subjects:
Online Access:http://hdl.handle.net/1773/10081
id ftunivwashington:oai:digital.lib.washington.edu:1773/10081
record_format openpolar
spelling ftunivwashington:oai:digital.lib.washington.edu:1773/10081 2024-06-02T07:54:35+00:00 Modeling the thickness distribution of Arctic sea ice Lipscomb, William H 1998 ix, 155 p. http://hdl.handle.net/1773/10081 en_US eng b42771250 41752733 http://hdl.handle.net/1773/10081 Copyright is held by the individual authors. Theses--Atmospheric sciences Thesis 1998 ftunivwashington 2024-05-06T11:39:40Z Thesis (Ph. D.)--University of Washington, 1998. Arctic sea ice may be unusually sensitive to greenhouse warming, thanks to ice-albedo feedback. Most climate models represent sea ice crudely, with each grid cell occupied by ice of uniform thickness together with open water, when in reality the ice ranges in thickness from a few centimeters to tens of meters. This study aims toward an improved understanding of how thermodynamic and dynamic processes interact to determine the thickness distribution of perennial sea ice in the central Arctic.Two sea ice models are developed and tested. The first is a heuristic model with simple parameterizations of growth, melting, ridging, and export. The model resolves a large number of ice categories, each spanning only a few centimeters in thickness. With linear forcings, the model can be formulated as a Markov process, whose steady-state solution and transient modes are computed using matrix algebra techniques. The steady-state solution reproduces the main features of observed thickness distributions. In its linear form the model is not very sensitive to warming, because increased ridging offsets the effects of enhanced melting. However, if the melting rate is assumed proportional to the open water area--which makes the model nonlinear--the sensitivity to warming increases sharply. Critical to this large sensitivity is a melting rate that increases as the ice thins.The second model is thermodynamic. It accounts for brine pockets and corrects an error in the way previous models have computed surface melting. Simple parameterizations of export and ridging are included. The ice pack is divided into unridged multiyear ice, ridged ice, open water, and an adjustable number of first-year ice categories, with mass and energy conserved when ice is transferred among categories. Three to five categories are sufficient to obtain converging results. With standard parameters and five categories, the equilibrium mean ice thickness is 3.4 m. An increase of 8 W m$\sp{-2}$ in the advected ... Thesis albedo Arctic ice pack Sea ice University of Washington, Seattle: ResearchWorks Arctic
institution Open Polar
collection University of Washington, Seattle: ResearchWorks
op_collection_id ftunivwashington
language English
topic Theses--Atmospheric sciences
spellingShingle Theses--Atmospheric sciences
Lipscomb, William H
Modeling the thickness distribution of Arctic sea ice
topic_facet Theses--Atmospheric sciences
description Thesis (Ph. D.)--University of Washington, 1998. Arctic sea ice may be unusually sensitive to greenhouse warming, thanks to ice-albedo feedback. Most climate models represent sea ice crudely, with each grid cell occupied by ice of uniform thickness together with open water, when in reality the ice ranges in thickness from a few centimeters to tens of meters. This study aims toward an improved understanding of how thermodynamic and dynamic processes interact to determine the thickness distribution of perennial sea ice in the central Arctic.Two sea ice models are developed and tested. The first is a heuristic model with simple parameterizations of growth, melting, ridging, and export. The model resolves a large number of ice categories, each spanning only a few centimeters in thickness. With linear forcings, the model can be formulated as a Markov process, whose steady-state solution and transient modes are computed using matrix algebra techniques. The steady-state solution reproduces the main features of observed thickness distributions. In its linear form the model is not very sensitive to warming, because increased ridging offsets the effects of enhanced melting. However, if the melting rate is assumed proportional to the open water area--which makes the model nonlinear--the sensitivity to warming increases sharply. Critical to this large sensitivity is a melting rate that increases as the ice thins.The second model is thermodynamic. It accounts for brine pockets and corrects an error in the way previous models have computed surface melting. Simple parameterizations of export and ridging are included. The ice pack is divided into unridged multiyear ice, ridged ice, open water, and an adjustable number of first-year ice categories, with mass and energy conserved when ice is transferred among categories. Three to five categories are sufficient to obtain converging results. With standard parameters and five categories, the equilibrium mean ice thickness is 3.4 m. An increase of 8 W m$\sp{-2}$ in the advected ...
format Thesis
author Lipscomb, William H
author_facet Lipscomb, William H
author_sort Lipscomb, William H
title Modeling the thickness distribution of Arctic sea ice
title_short Modeling the thickness distribution of Arctic sea ice
title_full Modeling the thickness distribution of Arctic sea ice
title_fullStr Modeling the thickness distribution of Arctic sea ice
title_full_unstemmed Modeling the thickness distribution of Arctic sea ice
title_sort modeling the thickness distribution of arctic sea ice
publishDate 1998
url http://hdl.handle.net/1773/10081
geographic Arctic
geographic_facet Arctic
genre albedo
Arctic
ice pack
Sea ice
genre_facet albedo
Arctic
ice pack
Sea ice
op_relation b42771250
41752733
http://hdl.handle.net/1773/10081
op_rights Copyright is held by the individual authors.
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