An energy-balance model of lake-ice evolution

Abstract A physically based mathematical model of the coupled lake, lake ice, snow and atmosphere system is developed for studying terrestrial-atmospheric interactions in high-elevation and high-latitude regions. The ability to model lake-ice freeze-up, break-up, total ice thickness and ice type off...

Full description

Bibliographic Details
Published in:Journal of Glaciology
Main Authors: Liston, Glen E., Hall, Dorothy K.
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 1995
Subjects:
Online Access:http://dx.doi.org/10.1017/s0022143000016245
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016245
id crcambridgeupr:10.1017/s0022143000016245
record_format openpolar
spelling crcambridgeupr:10.1017/s0022143000016245 2024-09-15T18:15:39+00:00 An energy-balance model of lake-ice evolution Liston, Glen E. Hall, Dorothy K. 1995 http://dx.doi.org/10.1017/s0022143000016245 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016245 en eng Cambridge University Press (CUP) Journal of Glaciology volume 41, issue 138, page 373-382 ISSN 0022-1430 1727-5652 journal-article 1995 crcambridgeupr https://doi.org/10.1017/s0022143000016245 2024-08-28T04:02:55Z Abstract A physically based mathematical model of the coupled lake, lake ice, snow and atmosphere system is developed for studying terrestrial-atmospheric interactions in high-elevation and high-latitude regions. The ability to model lake-ice freeze-up, break-up, total ice thickness and ice type offers the potential to describe the effects of climate change in these regions. Model output is validated against lake-ice observations made during the winter of 1992–93 in Glacier National Park, Montana. U.S.A. The model is driven with observed daily atmospheric forcing of precipitation, wind speed and air temperature. In addition to simulating complete energy-balance components over the annual cycle, model output includes ice freeze-up and break-up dates, and the end-of-season clear ice, snow-ice and total ice depths for two nearby lakes in Glacier National Park, each in a different topographic setting. Modeled ice features are found to agree closely with the lake-ice observations. Model simulations illustrate the key role that the wind component of the local climatic regime plays on the growth and decay of lake ice. The wind speed affects both the surface temperature and the accumulation of snow on the lake-ice surface. Higher snow accumulations on the lake ice depress the ice surface below the water line, causing the snow to become saturated and leading to the formation of snow-ice deposits. In regions having higher wind speeds, significantly less snow accumulates on the lake-ice surface, thus limiting snow-ice formation. The ice produced by these two different mechanisms has distinctly different optical and radiative properties, and affects the monitoring of frozen lakes using remote-sensing techniques. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 41 138 373 382
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract A physically based mathematical model of the coupled lake, lake ice, snow and atmosphere system is developed for studying terrestrial-atmospheric interactions in high-elevation and high-latitude regions. The ability to model lake-ice freeze-up, break-up, total ice thickness and ice type offers the potential to describe the effects of climate change in these regions. Model output is validated against lake-ice observations made during the winter of 1992–93 in Glacier National Park, Montana. U.S.A. The model is driven with observed daily atmospheric forcing of precipitation, wind speed and air temperature. In addition to simulating complete energy-balance components over the annual cycle, model output includes ice freeze-up and break-up dates, and the end-of-season clear ice, snow-ice and total ice depths for two nearby lakes in Glacier National Park, each in a different topographic setting. Modeled ice features are found to agree closely with the lake-ice observations. Model simulations illustrate the key role that the wind component of the local climatic regime plays on the growth and decay of lake ice. The wind speed affects both the surface temperature and the accumulation of snow on the lake-ice surface. Higher snow accumulations on the lake ice depress the ice surface below the water line, causing the snow to become saturated and leading to the formation of snow-ice deposits. In regions having higher wind speeds, significantly less snow accumulates on the lake-ice surface, thus limiting snow-ice formation. The ice produced by these two different mechanisms has distinctly different optical and radiative properties, and affects the monitoring of frozen lakes using remote-sensing techniques.
format Article in Journal/Newspaper
author Liston, Glen E.
Hall, Dorothy K.
spellingShingle Liston, Glen E.
Hall, Dorothy K.
An energy-balance model of lake-ice evolution
author_facet Liston, Glen E.
Hall, Dorothy K.
author_sort Liston, Glen E.
title An energy-balance model of lake-ice evolution
title_short An energy-balance model of lake-ice evolution
title_full An energy-balance model of lake-ice evolution
title_fullStr An energy-balance model of lake-ice evolution
title_full_unstemmed An energy-balance model of lake-ice evolution
title_sort energy-balance model of lake-ice evolution
publisher Cambridge University Press (CUP)
publishDate 1995
url http://dx.doi.org/10.1017/s0022143000016245
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016245
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 41, issue 138, page 373-382
ISSN 0022-1430 1727-5652
op_doi https://doi.org/10.1017/s0022143000016245
container_title Journal of Glaciology
container_volume 41
container_issue 138
container_start_page 373
op_container_end_page 382
_version_ 1810453576338636800