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| Titel |
A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea |
| VerfasserIn |
S. Y. Zhuang, W. W. Fu, J. She |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 7, no. 6 ; Nr. 7, no. 6 (2011-11-22), S.771-781 |
| Datensatznummer |
250004869
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| Publikation (Nr.) |
 copernicus.org/os-7-771-2011.pdf |
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| Zusammenfassung |
| This paper describes the implementation and evaluation of a pre-operational
three dimensional variational (3DVAR) data assimilation system for the
North/Baltic Sea. Univariate analysis for both temperature and salinity is
applied in a 3DVAR scheme in which the horizontal component of the
background error covariance is modeled by an isotropic recursive filter (IRF) and
the vertical component is represented by dominant Empirical Orthogonal
Functions (EOFs). Observations of temperature and
salinity (T/S) profiles in the North/Baltic Sea are assimilated in
the year of 2005. Effect of the 3DVAR scheme is assessed by a comparison between
data assimilation run and control run. The statistical analysis indicates that
the model simulation is significantly improved with the 3DVAR scheme. On
average, the root mean square errors (RMSE) of temperature and salinity are
reduced by 0.2 °C and 0.25 psu in the North/Baltic Sea. In addition, the
bias of temperature and salinity is also decreased by 0.1 °C and
0.2 psu, respectively. Starting from an analyzed initial state, one month
simulation without assimilation is carried out with the aim of examining the
persistence of the initial impact. It is shown that the assimilated initial
state can impact the model simulation for nearly two weeks. The influence on
salinity is more pronounced than temperature. |
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