The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise

We assess different methods and input parameters, namely snow depth, snow density and ice density, used in freeboard-to-thickness conversion of Arctic sea ice. This conversion is an important part of sea ice thickness retrieval from spaceborne altimetry. A data base is created comprising sea ice fre...

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Published in:The Cryosphere
Main Authors: Kern, S., Khvorostovsky, K., Skourup, H., Rinne, E., Parsakhoo, Z. S., Djepa, V., Wadhams, P., Sandven, S.
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69
https://doi.org/10.5194/tc-9-37-2015
https://backend.orbit.dtu.dk/ws/files/119090836/Kern2015_tc9_ESACCI.pdf
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spelling ftdtupubl:oai:pure.atira.dk:publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69 2024-09-15T17:54:07+00:00 The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise Kern, S. Khvorostovsky, K. Skourup, H. Rinne, E. Parsakhoo, Z. S. Djepa, V. Wadhams, P. Sandven, S. 2015 application/pdf https://orbit.dtu.dk/en/publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69 https://doi.org/10.5194/tc-9-37-2015 https://backend.orbit.dtu.dk/ws/files/119090836/Kern2015_tc9_ESACCI.pdf eng eng https://orbit.dtu.dk/en/publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69 info:eu-repo/semantics/openAccess Kern , S , Khvorostovsky , K , Skourup , H , Rinne , E , Parsakhoo , Z S , Djepa , V , Wadhams , P & Sandven , S 2015 , ' The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise ' , Cryosphere , vol. 9 , pp. 37-52 . https://doi.org/10.5194/tc-9-37-2015 article 2015 ftdtupubl https://doi.org/10.5194/tc-9-37-2015 2024-07-29T23:50:17Z We assess different methods and input parameters, namely snow depth, snow density and ice density, used in freeboard-to-thickness conversion of Arctic sea ice. This conversion is an important part of sea ice thickness retrieval from spaceborne altimetry. A data base is created comprising sea ice freeboard derived from satellite radar altimetry between 1993 and 2012 and co-locate observations of total (sea ice + snow) and sea ice freeboard from the Operation Ice Bridge (OIB) and CryoSat Validation Experiment (CryoVEx) airborne campaigns, of sea ice draft from moored and submarine upward looking sonar (ULS), and of snow depth from OIB campaigns, Advanced Microwave Scanning Radiometer (AMSR-E) and the Warren climatology (Warren et al., 1999). We compare the different data sets in spatiotemporal scales where satellite radar altimetry yields meaningful results. An inter-comparison of the snow depth data sets emphasizes the limited usefulness of Warren climatology snow depth for freeboard-to-thickness conversion under current Arctic Ocean conditions reported in other studies. We test different freeboard-to-thickness and freeboard-to-draft conversion approaches. The mean observed ULS sea ice draft agrees with the mean sea ice draft derived from radar altimetry within the uncertainty bounds of the data sets involved. However, none of the approaches are able to reproduce the seasonal cycle in sea ice draft observed by moored ULS. A sensitivity analysis of the freeboard-to-thickness conversion suggests that sea ice density is as important as snow depth. Article in Journal/Newspaper Arctic Ocean CryoSat Validation Experiment Sea ice Technical University of Denmark: DTU Orbit The Cryosphere 9 1 37 52
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
description We assess different methods and input parameters, namely snow depth, snow density and ice density, used in freeboard-to-thickness conversion of Arctic sea ice. This conversion is an important part of sea ice thickness retrieval from spaceborne altimetry. A data base is created comprising sea ice freeboard derived from satellite radar altimetry between 1993 and 2012 and co-locate observations of total (sea ice + snow) and sea ice freeboard from the Operation Ice Bridge (OIB) and CryoSat Validation Experiment (CryoVEx) airborne campaigns, of sea ice draft from moored and submarine upward looking sonar (ULS), and of snow depth from OIB campaigns, Advanced Microwave Scanning Radiometer (AMSR-E) and the Warren climatology (Warren et al., 1999). We compare the different data sets in spatiotemporal scales where satellite radar altimetry yields meaningful results. An inter-comparison of the snow depth data sets emphasizes the limited usefulness of Warren climatology snow depth for freeboard-to-thickness conversion under current Arctic Ocean conditions reported in other studies. We test different freeboard-to-thickness and freeboard-to-draft conversion approaches. The mean observed ULS sea ice draft agrees with the mean sea ice draft derived from radar altimetry within the uncertainty bounds of the data sets involved. However, none of the approaches are able to reproduce the seasonal cycle in sea ice draft observed by moored ULS. A sensitivity analysis of the freeboard-to-thickness conversion suggests that sea ice density is as important as snow depth.
format Article in Journal/Newspaper
author Kern, S.
Khvorostovsky, K.
Skourup, H.
Rinne, E.
Parsakhoo, Z. S.
Djepa, V.
Wadhams, P.
Sandven, S.
spellingShingle Kern, S.
Khvorostovsky, K.
Skourup, H.
Rinne, E.
Parsakhoo, Z. S.
Djepa, V.
Wadhams, P.
Sandven, S.
The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
author_facet Kern, S.
Khvorostovsky, K.
Skourup, H.
Rinne, E.
Parsakhoo, Z. S.
Djepa, V.
Wadhams, P.
Sandven, S.
author_sort Kern, S.
title The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
title_short The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
title_full The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
title_fullStr The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
title_full_unstemmed The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise
title_sort impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the esa-cci sea ice ecv project round robin exercise
publishDate 2015
url https://orbit.dtu.dk/en/publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69
https://doi.org/10.5194/tc-9-37-2015
https://backend.orbit.dtu.dk/ws/files/119090836/Kern2015_tc9_ESACCI.pdf
genre Arctic Ocean
CryoSat Validation Experiment
Sea ice
genre_facet Arctic Ocean
CryoSat Validation Experiment
Sea ice
op_source Kern , S , Khvorostovsky , K , Skourup , H , Rinne , E , Parsakhoo , Z S , Djepa , V , Wadhams , P & Sandven , S 2015 , ' The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise ' , Cryosphere , vol. 9 , pp. 37-52 . https://doi.org/10.5194/tc-9-37-2015
op_relation https://orbit.dtu.dk/en/publications/a21ce66d-aba0-4080-8d9c-fab3cc788d69
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-9-37-2015
container_title The Cryosphere
container_volume 9
container_issue 1
container_start_page 37
op_container_end_page 52
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