Monitoring of thin ice in the Laptev Sea Polynya

It is estimated that a considerable fraction of new ice formation on Arctic shelf areas takes place in the Laptev Sea polynyas. However, the different studies reveal strong discrepancies in ice production rates. For an accurate monitoring of surface heat loss and hence, ice production within polynya...

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Main Authors: Adams, Susanne, Willmes, Sascha, Schröder, David, Heinemann, Günther
Format: Conference Object
Language:English
Published: 2011
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/26391/
https://oceanrep.geomar.de/id/eprint/26391/1/EGU2011-2623.pdf
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spelling ftoceanrep:oai:oceanrep.geomar.de:26391 2023-05-15T15:07:33+02:00 Monitoring of thin ice in the Laptev Sea Polynya Adams, Susanne Willmes, Sascha Schröder, David Heinemann, Günther 2011 text https://oceanrep.geomar.de/id/eprint/26391/ https://oceanrep.geomar.de/id/eprint/26391/1/EGU2011-2623.pdf en eng https://oceanrep.geomar.de/id/eprint/26391/1/EGU2011-2623.pdf Adams, S., Willmes, S., Schröder, D. and Heinemann, G. (2011) Monitoring of thin ice in the Laptev Sea Polynya. [Poster] In: EGU General Assembly 2011. , 03.04.-08.04.2011, Vienna, Austria . cc_by_nc Conference or Workshop Item NonPeerReviewed 2011 ftoceanrep 2023-04-07T15:15:41Z It is estimated that a considerable fraction of new ice formation on Arctic shelf areas takes place in the Laptev Sea polynyas. However, the different studies reveal strong discrepancies in ice production rates. For an accurate monitoring of surface heat loss and hence, ice production within polynyas it is important to know the thin ice distribution within the polynya. We use an established thin-ice algorithm with several modifications to retrieve the thin ice thickness distribution up to 50 cm based on MODIS ice surface temperatures and atmospheric data from model simulations. We verify the MODIS ice surface temperatures with a data set measured during a field campaign in the Laptev Sea. For the calculation of thin ice thicknesses we use NCEP reanalyses, GME analyses and COSMO simulations in comparison as different atmospheric forcing data. We find that from the several atmospheric variables the air temperature at 2 m has the greatest impact on the ice thickness calculation. At ice thicknesses above 20 cm the algorithm responds sensitively to errors in the atmospheric data. In regions of very thin ice the errors in the atmospheric data are masked due to larger temperature differences between surface and atmosphere. However, a reliable atmospheric data set is necessary for the calculation of accurate thin ice thicknesses. Conference Object Arctic laptev Laptev Sea OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Laptev Sea
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description It is estimated that a considerable fraction of new ice formation on Arctic shelf areas takes place in the Laptev Sea polynyas. However, the different studies reveal strong discrepancies in ice production rates. For an accurate monitoring of surface heat loss and hence, ice production within polynyas it is important to know the thin ice distribution within the polynya. We use an established thin-ice algorithm with several modifications to retrieve the thin ice thickness distribution up to 50 cm based on MODIS ice surface temperatures and atmospheric data from model simulations. We verify the MODIS ice surface temperatures with a data set measured during a field campaign in the Laptev Sea. For the calculation of thin ice thicknesses we use NCEP reanalyses, GME analyses and COSMO simulations in comparison as different atmospheric forcing data. We find that from the several atmospheric variables the air temperature at 2 m has the greatest impact on the ice thickness calculation. At ice thicknesses above 20 cm the algorithm responds sensitively to errors in the atmospheric data. In regions of very thin ice the errors in the atmospheric data are masked due to larger temperature differences between surface and atmosphere. However, a reliable atmospheric data set is necessary for the calculation of accurate thin ice thicknesses.
format Conference Object
author Adams, Susanne
Willmes, Sascha
Schröder, David
Heinemann, Günther
spellingShingle Adams, Susanne
Willmes, Sascha
Schröder, David
Heinemann, Günther
Monitoring of thin ice in the Laptev Sea Polynya
author_facet Adams, Susanne
Willmes, Sascha
Schröder, David
Heinemann, Günther
author_sort Adams, Susanne
title Monitoring of thin ice in the Laptev Sea Polynya
title_short Monitoring of thin ice in the Laptev Sea Polynya
title_full Monitoring of thin ice in the Laptev Sea Polynya
title_fullStr Monitoring of thin ice in the Laptev Sea Polynya
title_full_unstemmed Monitoring of thin ice in the Laptev Sea Polynya
title_sort monitoring of thin ice in the laptev sea polynya
publishDate 2011
url https://oceanrep.geomar.de/id/eprint/26391/
https://oceanrep.geomar.de/id/eprint/26391/1/EGU2011-2623.pdf
geographic Arctic
Laptev Sea
geographic_facet Arctic
Laptev Sea
genre Arctic
laptev
Laptev Sea
genre_facet Arctic
laptev
Laptev Sea
op_relation https://oceanrep.geomar.de/id/eprint/26391/1/EGU2011-2623.pdf
Adams, S., Willmes, S., Schröder, D. and Heinemann, G. (2011) Monitoring of thin ice in the Laptev Sea Polynya. [Poster] In: EGU General Assembly 2011. , 03.04.-08.04.2011, Vienna, Austria .
op_rights cc_by_nc
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