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

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...

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Veröffentlicht in:	The cryosphere 2018-11, Vol.12 (11), p.3671-3691
Hauptverfasser:	Xie, Jiping, Counillon, Francois, Bertino, Laurent
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Assimilation Buoys Data Drift Environmental monitoring Error reduction Errors Ice Ice cover Ice drift Ice environments Ice observations Ice thickness Ice volume Kalman filters Marine environment Mass balance Measurement North Pole Remote sensing Satellites Sea ice Sea ice thickness Spaceborne remote sensing
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Beschreibung
Zusammenfassung:	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).
ISSN:	1994-0424 1994-0416 1994-0424 1994-0416
DOI:	10.5194/tc-12-3671-2018