Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice
Reviewed The Arctic sea ice cover has decreased strongly in extent, thickness, volume and age in recent decades. The melt season presents a significant challenge for sea ice forecasting due to uncertainty associated with the role of surface melt ponds in ice decay at regional scales. This study quan...
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Online Access: | https://doi.org/10.3390/rs10010037 |
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fttriple:oai:gotriple.eu:10670/1.sqlo8o 2023-05-15T14:58:09+02:00 Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice Nasonova, Sasha Scharien, Randall K. Haas, Christian Howell, Stephen E. L. 2018-11-23 https://doi.org/10.3390/rs10010037 en eng Remote Sensing Nasonova, S., Scharien, R.K., Haas, C. & Howell, S.E.L. (2018). Linking regional winter sea ice thickness and surface roughness to spring melt pond fraction on landfast artic sea ice. Remote Sensing, 10(1), 37. https://doi.org/10.3390/rs10010037 10670/1.sqlo8o https://doi.org/10.3390/rs10010037 undefined UVic’s Research and Learning Repository geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.3390/rs10010037 2023-01-22T18:36:10Z Reviewed The Arctic sea ice cover has decreased strongly in extent, thickness, volume and age in recent decades. The melt season presents a significant challenge for sea ice forecasting due to uncertainty associated with the role of surface melt ponds in ice decay at regional scales. This study quantifies the relationships of spring melt pond fraction (fp) with both winter sea ice roughness and thickness, for landfast first-year sea ice (FYI) and multiyear sea ice (MYI). In 2015, airborne measurements of winter sea ice thickness and roughness, as well as high-resolution optical data of melt pond covered sea ice, were collected along two ~5.2 km long profiles over FYI- and MYI-dominated regions in the Canadian Arctic. Statistics of winter sea ice thickness and roughness were compared to spring fp using three data aggregation approaches, termed object and hybrid-object (based on image segments), and regularly spaced grid-cells. The hybrid-based aggregation approach showed strongest associations because it considers the morphology of the ice as well as footprints of the sensors used to measure winter sea ice thickness and roughness. Using the hybrid-based data aggregation approach it was found that winter sea ice thickness and roughness are related to spring fp. A stronger negative correlation was observed between FYI thickness and fp (Spearman rs = −0.85) compared to FYI roughness and fp (rs = −0.52). The association between MYI thickness and fp was also negative (rs = −0.56), whereas there was no association between MYI roughness and fp. 47% of spring fp variation for FYI and MYI can be explained by mean thickness. Thin sea ice is characterized by low surface roughness allowing for widespread ponding in the spring (high fp) whereas thick sea ice has undergone dynamic thickening and roughening with topographic features constraining melt water into deeper channels (low fp). This work provides an important contribution towards the parameterizations of fp in seasonal and long-term prediction models by quantifying ... Article in Journal/Newspaper Arctic Sea ice Unknown Arctic Remote Sensing 10 2 37 |
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geo envir Nasonova, Sasha Scharien, Randall K. Haas, Christian Howell, Stephen E. L. Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
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geo envir |
description |
Reviewed The Arctic sea ice cover has decreased strongly in extent, thickness, volume and age in recent decades. The melt season presents a significant challenge for sea ice forecasting due to uncertainty associated with the role of surface melt ponds in ice decay at regional scales. This study quantifies the relationships of spring melt pond fraction (fp) with both winter sea ice roughness and thickness, for landfast first-year sea ice (FYI) and multiyear sea ice (MYI). In 2015, airborne measurements of winter sea ice thickness and roughness, as well as high-resolution optical data of melt pond covered sea ice, were collected along two ~5.2 km long profiles over FYI- and MYI-dominated regions in the Canadian Arctic. Statistics of winter sea ice thickness and roughness were compared to spring fp using three data aggregation approaches, termed object and hybrid-object (based on image segments), and regularly spaced grid-cells. The hybrid-based aggregation approach showed strongest associations because it considers the morphology of the ice as well as footprints of the sensors used to measure winter sea ice thickness and roughness. Using the hybrid-based data aggregation approach it was found that winter sea ice thickness and roughness are related to spring fp. A stronger negative correlation was observed between FYI thickness and fp (Spearman rs = −0.85) compared to FYI roughness and fp (rs = −0.52). The association between MYI thickness and fp was also negative (rs = −0.56), whereas there was no association between MYI roughness and fp. 47% of spring fp variation for FYI and MYI can be explained by mean thickness. Thin sea ice is characterized by low surface roughness allowing for widespread ponding in the spring (high fp) whereas thick sea ice has undergone dynamic thickening and roughening with topographic features constraining melt water into deeper channels (low fp). This work provides an important contribution towards the parameterizations of fp in seasonal and long-term prediction models by quantifying ... |
format |
Article in Journal/Newspaper |
author |
Nasonova, Sasha Scharien, Randall K. Haas, Christian Howell, Stephen E. L. |
author_facet |
Nasonova, Sasha Scharien, Randall K. Haas, Christian Howell, Stephen E. L. |
author_sort |
Nasonova, Sasha |
title |
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
title_short |
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
title_full |
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
title_fullStr |
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
title_full_unstemmed |
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice |
title_sort |
linking regional winter sea ice thickness and surface roughness to spring melt pond fraction on landfast arctic sea ice |
publisher |
Remote Sensing |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10010037 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
UVic’s Research and Learning Repository |
op_relation |
Nasonova, S., Scharien, R.K., Haas, C. & Howell, S.E.L. (2018). Linking regional winter sea ice thickness and surface roughness to spring melt pond fraction on landfast artic sea ice. Remote Sensing, 10(1), 37. https://doi.org/10.3390/rs10010037 10670/1.sqlo8o https://doi.org/10.3390/rs10010037 |
op_rights |
undefined |
op_doi |
https://doi.org/10.3390/rs10010037 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
2 |
container_start_page |
37 |
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1766330243238330368 |