Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis

<p>Accurately forecasting the sea-ice thickness (SIT) in the Arctic is a major challenge. The new SIT product (referred to as CS2SMOS) merges measurements from the CryoSat-2 and SMOS satellites on a weekly basis during the winter. The impact of assimilating CS2SMOS data is tested for the TOPAZ...

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Main Authors: J. Xie, F. Counillon, L. Bertino
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/12/3671/2018/tc-12-3671-2018.pdf
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author J. Xie
F. Counillon
F. Counillon
L. Bertino
L. Bertino
author_facet J. Xie
F. Counillon
F. Counillon
L. Bertino
L. Bertino
author_sort J. Xie
collection DOAJ
description <p>Accurately forecasting the sea-ice thickness (SIT) in the Arctic is a major challenge. The new SIT product (referred to as CS2SMOS) merges measurements from the CryoSat-2 and SMOS satellites on a weekly basis during the winter. The impact of assimilating CS2SMOS data is tested for the TOPAZ4 system – the Arctic component of the Copernicus Marine Environment Monitoring Services (CMEMS). TOPAZ4 currently assimilates a large set of ocean and sea-ice observations with the Deterministic Ensemble Kalman Filter (DEnKF).</p> <p>Two parallel reanalyses are conducted without (Official run) and with (Test run) assimilation of CS2SMOS data from 19 March 2014 to 31 March 2015. Since only mapping errors were provided in the CS2SMOS observation, an arbitrary term was added to compensate for the missing errors, but was found a posteriori too large. The SIT bias (too thin) is reduced from 16 to 5&thinsp;cm and the standard errors decrease from 53 to 38&thinsp;cm (by 28&thinsp;%) when compared to the assimilated SIT. When compared to independent SIT observations, the error reduction is 24&thinsp;% against the ice mass balance (IMB) buoy 2013F and by 12.5&thinsp;% against SIT data from the IceBridge campaigns. The improvement of sea-ice volume persists through the summer months in the absence of CS2SMOS data. Comparisons to sea-ice drift from the satellites show that dynamical adjustments reduce the drift errors around the North Pole by about 8&thinsp;%–9&thinsp;% in December 2014 and February 2015. Finally, using the degrees of freedom for signal (DFS), we find that CS2SMOS makes the prime source of information in the central Arctic and in the Kara Sea. We therefore recommend the assimilation of C2SMOS for Arctic reanalyses in order to improve the ice thickness and the ice drift.</p>
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spelling doaj.art-8bcad0478df04622b811a107da1066472022-12-21T23:41:36ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242018-11-01123671369110.5194/tc-12-3671-2018Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysisJ. Xie0F. Counillon1F. Counillon2L. Bertino3L. Bertino4Nansen Environmental and Remote Sensing Center, Bergen N5006, NorwayNansen Environmental and Remote Sensing Center, Bergen N5006, NorwayBjerknes Center for Climate Research, Bergen, NorwayNansen Environmental and Remote Sensing Center, Bergen N5006, NorwayBjerknes Center for Climate Research, Bergen, Norway<p>Accurately forecasting the sea-ice thickness (SIT) in the Arctic is a major challenge. The new SIT product (referred to as CS2SMOS) merges measurements from the CryoSat-2 and SMOS satellites on a weekly basis during the winter. The impact of assimilating CS2SMOS data is tested for the TOPAZ4 system – the Arctic component of the Copernicus Marine Environment Monitoring Services (CMEMS). TOPAZ4 currently assimilates a large set of ocean and sea-ice observations with the Deterministic Ensemble Kalman Filter (DEnKF).</p> <p>Two parallel reanalyses are conducted without (Official run) and with (Test run) assimilation of CS2SMOS data from 19 March 2014 to 31 March 2015. Since only mapping errors were provided in the CS2SMOS observation, an arbitrary term was added to compensate for the missing errors, but was found a posteriori too large. The SIT bias (too thin) is reduced from 16 to 5&thinsp;cm and the standard errors decrease from 53 to 38&thinsp;cm (by 28&thinsp;%) when compared to the assimilated SIT. When compared to independent SIT observations, the error reduction is 24&thinsp;% against the ice mass balance (IMB) buoy 2013F and by 12.5&thinsp;% against SIT data from the IceBridge campaigns. The improvement of sea-ice volume persists through the summer months in the absence of CS2SMOS data. Comparisons to sea-ice drift from the satellites show that dynamical adjustments reduce the drift errors around the North Pole by about 8&thinsp;%–9&thinsp;% in December 2014 and February 2015. Finally, using the degrees of freedom for signal (DFS), we find that CS2SMOS makes the prime source of information in the central Arctic and in the Kara Sea. We therefore recommend the assimilation of C2SMOS for Arctic reanalyses in order to improve the ice thickness and the ice drift.</p>https://www.the-cryosphere.net/12/3671/2018/tc-12-3671-2018.pdf
spellingShingle J. Xie
F. Counillon
F. Counillon
L. Bertino
L. Bertino
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
The Cryosphere
title Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
title_full Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
title_fullStr Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
title_full_unstemmed Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
title_short Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
title_sort impact of assimilating a merged sea ice thickness from cryosat 2 and smos in the arctic reanalysis
url https://www.the-cryosphere.net/12/3671/2018/tc-12-3671-2018.pdf
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