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Ocean Science An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/osd-9-291-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/osd-9-291-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  24 Jan 2012

24 Jan 2012

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This preprint was under review for the journal OS but the revision was not accepted.

First evaluation of MyOcean altimetric data in the Arctic Ocean

Y. Cheng, O. B. Andersen, and P. Knudsen Y. Cheng et al.
  • DTU Space, Technical University of Denmark, Copenhagen, Denmark

Abstract. The MyOcean V2 preliminary (V2p) data set of weekly gridded sea level anomaly (SLA) maps from 1993 to 2009 over the Arctic region is evaluated against existing altimetric data sets and tide gauge data. Compared with DUACS V3.0.0 (Data Unification and Altimeter Combination System) data set, MyOcean V2p data set improves spatial coverage and quality as well as maximum temporal correlation coefficient between altimetry and tide gauge data. The estimated amplitude of sea level annual signal and linear sea level trend from MyOcean data set are evaluated against altimetry from DUACS and RADS (Radar Altimeter Database System), the SODA (Simple Ocean Data Assimilation) ocean reanalysis and tide gauge data sets from PSMSL (Permanent Service for Mean Sea Level). The results show that the MyOcean data set fits in-situ measurements better than DUACS data set with respect to amplitude of annual signal and linear sea level trend. However, the MyOcean V2p data set exhibits an unrealistic large linear sea level trend compared with that from other data sources.

Y. Cheng et al.

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Y. Cheng et al.

Y. Cheng et al.

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