Articles | Volume 7, issue 6
https://doi.org/10.5194/os-7-771-2011
© Author(s) 2011. This work is distributed under the Creative Commons Attribution 3.0 License.
Research article
| 
22 Nov 2011
Research article |
| 22 Nov 2011
A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea
Related subject area
Approach: Data Assimilation | Depth range: All Depths | Geographical range: Baltic Sea | Phenomena: Temperature, Salinity and Density Fields
Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea
Ocean Sci., 14, 525–541, 2018
Cited articles
Arakawa, A. and Lamb, V. R.: Computational design of the basic dynamical process of the UCLA general circulation model, in: Methods in Computational Physics, edited by: Chang, J., 17, Academic Press, New York, 173–265, 1977.
Bark, D. M., Huang, W., Guo, Y. R., Bourgeois, A. J., Xiao, Q. L.: A three-dimensional variational data assimilation system for MM5: Implementation and initial results, Mon. Weather Rev., 132, 897–914, 2004.
Bergthorsson, P. and Döös, B.: Numerical weather map analysis, Tellus, 7, 329–340, 1955.
Barth, A., Alvera-Azcárate, A., Beckers, J. M., Rixen, M., Vandenbulcke, L.: Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea, J. Mar. Syst., 65, 41–59, 2007.
Byrd, R. H., Lu, P., Nocedal, J., and Zhu, C.: A limited memory algorithm for bound constrained optimization, SIAM J. Sci. Comput., 16, 1190–1208, 1995.
