A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler
Abstract In northern regions where observational data is sparse, lake ice models are ideal tools as they can provide valuable information on ice cover regimes. The Canadian Lake Ice Model was used to simulate ice cover for a lake near Churchill, Manitoba, Canada throughout the 2008/2009 and 2009/201...
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Online Access: | http://dx.doi.org/10.1002/hyp.8087 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.8087 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.8087 |
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crwiley:10.1002/hyp.8087 2024-06-23T07:52:07+00:00 A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler Brown, Laura C. Duguay, Claude R. 2011 http://dx.doi.org/10.1002/hyp.8087 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.8087 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.8087 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Hydrological Processes volume 25, issue 19, page 2932-2941 ISSN 0885-6087 1099-1085 journal-article 2011 crwiley https://doi.org/10.1002/hyp.8087 2024-06-13T04:22:12Z Abstract In northern regions where observational data is sparse, lake ice models are ideal tools as they can provide valuable information on ice cover regimes. The Canadian Lake Ice Model was used to simulate ice cover for a lake near Churchill, Manitoba, Canada throughout the 2008/2009 and 2009/2010 ice covered seasons. To validate and improve the model results, in situ measurements of the ice cover through both seasons were obtained using an upward‐looking sonar device Shallow Water Ice Profiler (SWIP) installed on the bottom of the lake. The SWIP identified the ice‐on/off dates as well as collected ice thickness measurements. In addition, a digital camera was installed on shore to capture images of the ice cover through the seasons and field measurements were obtained of snow depth on the ice, and both the thickness of snow ice (if present) and total ice cover. Altering the amounts of snow cover on the ice surface to represent potential snow redistribution affected simulated freeze‐up dates by a maximum of 22 days and break‐up dates by a maximum of 12 days, highlighting the importance of accurately representing the snowpack for lake ice modelling. The late season ice thickness tended to be under estimated by the simulations with break‐up occurring too early, however, the evolution of the ice cover was simulated to fall between the range of the full snow and no snow scenario, with the thickness being dependant on the amount of snow cover on the ice surface. Copyright © 2011 John Wiley & Sons, Ltd. Article in Journal/Newspaper Churchill Wiley Online Library Canada Hydrological Processes 25 19 2932 2941 |
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Abstract In northern regions where observational data is sparse, lake ice models are ideal tools as they can provide valuable information on ice cover regimes. The Canadian Lake Ice Model was used to simulate ice cover for a lake near Churchill, Manitoba, Canada throughout the 2008/2009 and 2009/2010 ice covered seasons. To validate and improve the model results, in situ measurements of the ice cover through both seasons were obtained using an upward‐looking sonar device Shallow Water Ice Profiler (SWIP) installed on the bottom of the lake. The SWIP identified the ice‐on/off dates as well as collected ice thickness measurements. In addition, a digital camera was installed on shore to capture images of the ice cover through the seasons and field measurements were obtained of snow depth on the ice, and both the thickness of snow ice (if present) and total ice cover. Altering the amounts of snow cover on the ice surface to represent potential snow redistribution affected simulated freeze‐up dates by a maximum of 22 days and break‐up dates by a maximum of 12 days, highlighting the importance of accurately representing the snowpack for lake ice modelling. The late season ice thickness tended to be under estimated by the simulations with break‐up occurring too early, however, the evolution of the ice cover was simulated to fall between the range of the full snow and no snow scenario, with the thickness being dependant on the amount of snow cover on the ice surface. Copyright © 2011 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Brown, Laura C. Duguay, Claude R. |
spellingShingle |
Brown, Laura C. Duguay, Claude R. A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
author_facet |
Brown, Laura C. Duguay, Claude R. |
author_sort |
Brown, Laura C. |
title |
A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
title_short |
A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
title_full |
A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
title_fullStr |
A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
title_full_unstemmed |
A comparison of simulated and measured lake ice thickness using a Shallow Water Ice Profiler |
title_sort |
comparison of simulated and measured lake ice thickness using a shallow water ice profiler |
publisher |
Wiley |
publishDate |
2011 |
url |
http://dx.doi.org/10.1002/hyp.8087 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.8087 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.8087 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Churchill |
genre_facet |
Churchill |
op_source |
Hydrological Processes volume 25, issue 19, page 2932-2941 ISSN 0885-6087 1099-1085 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/hyp.8087 |
container_title |
Hydrological Processes |
container_volume |
25 |
container_issue |
19 |
container_start_page |
2932 |
op_container_end_page |
2941 |
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1802643337294905344 |