Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST

A multi-category numerical sea ice model CICE was used along with data assimilation to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from the Advanced Microwave Scanning Radiometer (AMSR-E and AMSR2)...

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Published in:The Cryosphere
Main Authors: Prasad, Siva, Zakharov, Igor, Mcguire, Peter, Power, Desmond, Richard, Martin
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-12-3949-2018
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spelling ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:c595dce0-575c-4b0d-8539-8bba5541e8a7 2023-05-15T15:35:06+02:00 Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST Prasad, Siva Zakharov, Igor Mcguire, Peter Power, Desmond Richard, Martin 2018 text https://doi.org/10.5194/tc-12-3949-2018 https://nrc-publications.canada.ca/eng/view/ft/?id=c595dce0-575c-4b0d-8539-8bba5541e8a7 https://nrc-publications.canada.ca/eng/view/object/?id=c595dce0-575c-4b0d-8539-8bba5541e8a7 https://nrc-publications.canada.ca/fra/voir/objet/?id=c595dce0-575c-4b0d-8539-8bba5541e8a7 eng eng European Geosciences Union issn:1994-0424 The Cryosphere, Volume: 12, Issue: 12, Publication date: 2018, Pages: 3949–3965 doi:10.5194/tc-12-3949-2018 article 2018 ftnrccanada https://doi.org/10.5194/tc-12-3949-2018 2021-09-01T06:32:12Z A multi-category numerical sea ice model CICE was used along with data assimilation to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from the Advanced Microwave Scanning Radiometer (AMSR-E and AMSR2). The model uses a mixed-layer slab ocean parameterization to compute the sea surface temperature (SST) and thereby to compute the freezing and melting potential of ice. The data from Advanced Very High Resolution Radiometer (AVHRR-only optimum interpolation analysis) were used to assimilate SST. The modelled ice parameters including concentration, ice thickness, freeboard and keel depth were compared with parameters estimated from remote-sensing data. The ice thickness estimated from the model was compared with the measurements derived from Soil Moisture Ocean Salinity – Microwave Imaging Radiometer using Aperture Synthesis (SMOS–MIRAS). The model freeboard estimates were compared with the freeboard measurements derived from CryoSat2. The ice concentration, thickness and freeboard estimates from the model assimilated with both ice concentration and SST were found to be within the uncertainty in the observation except during March. The model-estimated draft was compared with the measurements from an upward-looking sonar (ULS) deployed in the Labrador Sea (near Makkovik Bank). The difference between modelled draft and ULS measurements estimated from the model was found to be within 10 cm. The keel depth measurements from the ULS instruments were compared to the estimates from the model to retrieve a relationship between the ridge height and keel depth. Peer reviewed: Yes NRC publication: Yes Article in Journal/Newspaper Baffin Bay Baffin Bay Baffin Labrador Sea Makkovik Sea ice The Cryosphere National Research Council Canada: NRC Publications Archive Baffin Bay Makkovik ENVELOPE(-59.178,-59.178,55.087,55.087) Makkovik Bank ENVELOPE(-57.833,-57.833,55.500,55.500) The Cryosphere 12 12 3949 3965
institution Open Polar
collection National Research Council Canada: NRC Publications Archive
op_collection_id ftnrccanada
language English
description A multi-category numerical sea ice model CICE was used along with data assimilation to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from the Advanced Microwave Scanning Radiometer (AMSR-E and AMSR2). The model uses a mixed-layer slab ocean parameterization to compute the sea surface temperature (SST) and thereby to compute the freezing and melting potential of ice. The data from Advanced Very High Resolution Radiometer (AVHRR-only optimum interpolation analysis) were used to assimilate SST. The modelled ice parameters including concentration, ice thickness, freeboard and keel depth were compared with parameters estimated from remote-sensing data. The ice thickness estimated from the model was compared with the measurements derived from Soil Moisture Ocean Salinity – Microwave Imaging Radiometer using Aperture Synthesis (SMOS–MIRAS). The model freeboard estimates were compared with the freeboard measurements derived from CryoSat2. The ice concentration, thickness and freeboard estimates from the model assimilated with both ice concentration and SST were found to be within the uncertainty in the observation except during March. The model-estimated draft was compared with the measurements from an upward-looking sonar (ULS) deployed in the Labrador Sea (near Makkovik Bank). The difference between modelled draft and ULS measurements estimated from the model was found to be within 10 cm. The keel depth measurements from the ULS instruments were compared to the estimates from the model to retrieve a relationship between the ridge height and keel depth. Peer reviewed: Yes NRC publication: Yes
format Article in Journal/Newspaper
author Prasad, Siva
Zakharov, Igor
Mcguire, Peter
Power, Desmond
Richard, Martin
spellingShingle Prasad, Siva
Zakharov, Igor
Mcguire, Peter
Power, Desmond
Richard, Martin
Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
author_facet Prasad, Siva
Zakharov, Igor
Mcguire, Peter
Power, Desmond
Richard, Martin
author_sort Prasad, Siva
title Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
title_short Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
title_full Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
title_fullStr Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
title_full_unstemmed Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST
title_sort estimation of sea ice parameters from sea ice model with assimilated ice concentration and sst
publisher European Geosciences Union
publishDate 2018
url https://doi.org/10.5194/tc-12-3949-2018
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https://nrc-publications.canada.ca/eng/view/object/?id=c595dce0-575c-4b0d-8539-8bba5541e8a7
https://nrc-publications.canada.ca/fra/voir/objet/?id=c595dce0-575c-4b0d-8539-8bba5541e8a7
long_lat ENVELOPE(-59.178,-59.178,55.087,55.087)
ENVELOPE(-57.833,-57.833,55.500,55.500)
geographic Baffin Bay
Makkovik
Makkovik Bank
geographic_facet Baffin Bay
Makkovik
Makkovik Bank
genre Baffin Bay
Baffin Bay
Baffin
Labrador Sea
Makkovik
Sea ice
The Cryosphere
genre_facet Baffin Bay
Baffin Bay
Baffin
Labrador Sea
Makkovik
Sea ice
The Cryosphere
op_relation issn:1994-0424
The Cryosphere, Volume: 12, Issue: 12, Publication date: 2018, Pages: 3949–3965
doi:10.5194/tc-12-3949-2018
op_doi https://doi.org/10.5194/tc-12-3949-2018
container_title The Cryosphere
container_volume 12
container_issue 12
container_start_page 3949
op_container_end_page 3965
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