Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations
Observations of snow on Arctic sea ice are vitally important for sea ice thickness estimation as well as for understanding bio-physical processes and human-activities. This study is the first assessment of the potential for near-coincident ICESat-2 and Cryosat-2 (Cryo2Ice) snow depth retrievals in a...
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Copernicus Publications
2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069892 2023-12-17T10:23:39+01:00 Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations Saha, Monojit Stroeve, Julienne Isleifson, Dustin Yackel, John Nandan, Vishnu Landy, Jack Christopher Lam, Hoi Ming 2023-11 electronic https://doi.org/10.5194/egusphere-2023-2509 https://noa.gwlb.de/receive/cop_mods_00069892 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068260/egusphere-2023-2509.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2509/egusphere-2023-2509.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2023-2509 https://noa.gwlb.de/receive/cop_mods_00069892 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068260/egusphere-2023-2509.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2509/egusphere-2023-2509.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/egusphere-2023-2509 2023-11-20T00:22:45Z Observations of snow on Arctic sea ice are vitally important for sea ice thickness estimation as well as for understanding bio-physical processes and human-activities. This study is the first assessment of the potential for near-coincident ICESat-2 and Cryosat-2 (Cryo2Ice) snow depth retrievals in a lead-less region of the Canadian Arctic Archipelago. Snow depths are retrieved using the absolute difference in surface height from a near-coincident ICESat-2 and Cryosat-2 after applying an ocean tide correction between satellite passes 77 minutes apart. Both the absolute mean snow depths and snow depth distributions retrieved from Cryo2Ice compare favourably to in-situ measurements. All four in-situ sites had snow with saline basal layers and different levels of roughness/ridging. The retrieved Cryo2Ice snow depths were underestimated by an average of 20.7 % which is slightly higher than the tidal adjustment applied. Differences in the Cryo2Ice and in-situ snow depth distributions reflected the different sampling resolutions between the sensors and the in-situ measurements, with more heavily ridged areas producing larger mean underestimation of the snow depth. Results suggest the possibility of estimating snow depth over lead-less landfast sea ice but attributing 2–3 cm biases to differences in sampling resolution, snow salinity, density, surface roughness and/or errors in altimeter’s tidal corrections require further investigation. Article in Journal/Newspaper Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice Niedersächsisches Online-Archiv NOA Arctic Canadian Arctic Archipelago |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Saha, Monojit Stroeve, Julienne Isleifson, Dustin Yackel, John Nandan, Vishnu Landy, Jack Christopher Lam, Hoi Ming Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
topic_facet |
article Verlagsveröffentlichung |
description |
Observations of snow on Arctic sea ice are vitally important for sea ice thickness estimation as well as for understanding bio-physical processes and human-activities. This study is the first assessment of the potential for near-coincident ICESat-2 and Cryosat-2 (Cryo2Ice) snow depth retrievals in a lead-less region of the Canadian Arctic Archipelago. Snow depths are retrieved using the absolute difference in surface height from a near-coincident ICESat-2 and Cryosat-2 after applying an ocean tide correction between satellite passes 77 minutes apart. Both the absolute mean snow depths and snow depth distributions retrieved from Cryo2Ice compare favourably to in-situ measurements. All four in-situ sites had snow with saline basal layers and different levels of roughness/ridging. The retrieved Cryo2Ice snow depths were underestimated by an average of 20.7 % which is slightly higher than the tidal adjustment applied. Differences in the Cryo2Ice and in-situ snow depth distributions reflected the different sampling resolutions between the sensors and the in-situ measurements, with more heavily ridged areas producing larger mean underestimation of the snow depth. Results suggest the possibility of estimating snow depth over lead-less landfast sea ice but attributing 2–3 cm biases to differences in sampling resolution, snow salinity, density, surface roughness and/or errors in altimeter’s tidal corrections require further investigation. |
format |
Article in Journal/Newspaper |
author |
Saha, Monojit Stroeve, Julienne Isleifson, Dustin Yackel, John Nandan, Vishnu Landy, Jack Christopher Lam, Hoi Ming |
author_facet |
Saha, Monojit Stroeve, Julienne Isleifson, Dustin Yackel, John Nandan, Vishnu Landy, Jack Christopher Lam, Hoi Ming |
author_sort |
Saha, Monojit |
title |
Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
title_short |
Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
title_full |
Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
title_fullStr |
Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
title_full_unstemmed |
Snow Depth Estimation on Lead-less Landfast ice using Cryo2Ice satellite observations |
title_sort |
snow depth estimation on lead-less landfast ice using cryo2ice satellite observations |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/egusphere-2023-2509 https://noa.gwlb.de/receive/cop_mods_00069892 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068260/egusphere-2023-2509.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2509/egusphere-2023-2509.pdf |
geographic |
Arctic Canadian Arctic Archipelago |
geographic_facet |
Arctic Canadian Arctic Archipelago |
genre |
Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice |
genre_facet |
Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice |
op_relation |
https://doi.org/10.5194/egusphere-2023-2509 https://noa.gwlb.de/receive/cop_mods_00069892 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068260/egusphere-2023-2509.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2509/egusphere-2023-2509.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/egusphere-2023-2509 |
_version_ |
1785559443741605888 |