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Assessment of the Three Dimensional Temperature and Salinity Observational Networks in the Baltic Sea and North Sea : Volume 7, Issue 1 (28/01/2011)

By Fu, W.

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Book Id: WPLBN0004020543
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: Assessment of the Three Dimensional Temperature and Salinity Observational Networks in the Baltic Sea and North Sea : Volume 7, Issue 1 (28/01/2011)  
Author: Fu, W.
Volume: Vol. 7, Issue 1
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Høyer, J. L., She, J., & Fu, W. (2011). Assessment of the Three Dimensional Temperature and Salinity Observational Networks in the Baltic Sea and North Sea : Volume 7, Issue 1 (28/01/2011). Retrieved from

Description: Center for Ocean and Ice (COI), Danish Meteorological Institute (DMI), Denmark. The spatial averaged correlations are presented in 1.5° × 1.5° bins for the North and Baltic Sea region. The averaged correlations are computed based on the proxy ocean data generated by the operational forecast model of Danish Meteorology Institute (DMI). It is shown that the spatial distribution of the averaged correlations could reflect the overall influence of the local atmospheric forcing, complex topography, coastlines, boundary and bottom effect, etc. Comparisons with the satellite SST data demonstrate that the proxy ocean data reproduce realistic results at the surface. Based on the spatial bin-averaged correlations, a general correlation model is assumed to approximate the spatial and temporal correlation structure. Parameters of the correlation model are obtained on the standard Levitus levels. It is found that the correlation model is not the typical Guaussian-type function. For instance, the exponents of the correlation model vary in the longitudinal direction from 0.75 at the surface to 1.33 at the depth of 250 m for temperature. For salinity, the temporal correlation can be approximated with an exponential function.

Two complementary quality-indicators, effective coverage rate and explained variance, are defined based on the correlation models obtained above. The two indicators are able to identify the influence area of the information content in a given observation network and the relative importance of observations at different locations. By these indicators, the 3-D temperature and salinity observational networks are assessed in the Baltic Sea and North Sea for the period 2004–2006. It is found that the surface level is more effectively covered than the deep waters with existing networks. In addition, the Belt Sea and the Baltic Proper also show good coverage for both temperature and salinity. However, more observations are required in the Norwegian Trench and Kattegat. In the vertical, the two indicators show smaller values from 50 m to 125 m in this region, indicating the need for more observations.

Assessment of the three dimensional temperature and salinity observational networks in the Baltic Sea and North Sea

Bishop, C. H., Etherton, B. J., and Majumdar, S. J.: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Weather Rev., 129, 420–436, 2001.; Buch, E., Elken, J., Gajewsk, J., Håkansson, B., Kahma, K., and Soetje, K.: Present Status of the Baltic Operational Oceanographic System. European Operational Oceanography: Present and Future, EuroGOOS Office, Sweden, and European Commission, Belgium, 276–280, 2006.; ICES: Patchiness in the Baltic Sea. Selected papers from a symposium held in Mariehamn 3–4 June 1991, edited by: Dybern, B. I., ICES Coop. Res. Rep., 201 pp., 1994.; Barth, N. and Wunsch, C.: Oceanographic experiment design by simulated annealing, J. Phys. Oceanogr., 20, 1249–1263, 1990.; Barth, A., Alvera-Azcarate, A., Rixen, M., and Beckers, J.-M.: Two-way nested model of mesoscale circulation features in the Ligurian Sea, Prog. Oceanogr., 66(2–4), 171–189, 2005.; Bartello, P. and Mitchell, H. L.: A continuous three-dimensional model of short-range forecast error covariances, Tellus A, 44, 217–235, 1992.; Berg, P.: MIKE 3, Estuarine and Coastal Hydraulics and Oceanography, Hydrodynamic Module, Hydrostatic Version, DHI Software, DHI Water & Environment, 2003.; Chen, D. and Omstedt, A.: climate-induced variability of sea level in Stockholm: Influence of air temperature and atmospheric circulation, Adv. Atmos. Sci., 22(5), 655–664, 2005.; Chen, C. S. and Wang, D. P.: Assimilation model study of the Santa Barbara Channel circulation, J. Geophys. Res., 104, 15727–15741, 1999.; Canuto, V. M., Howard, A., Cheng, Y., and Dubovikov, M. S.: Ocean Turbulence. Part II: Vertical Diffusivities of Momentum, Heat, Salt, Mass, and Passive Saclars, J. Phys. Oceanogr, 32, 240–264, 2002.; Daley, R.: Atmospheric Data Analysis, Cambridge Univ. Press, New York, 45 pp., 1993.; Dick, S., Kleine, E., Mueller-Navarra, S. H., Kleine, H., and Komo, H.: The Operational Circulation Model of BSH (BSHcmod) – Model description and validation, Berichte des BSH 29/2001, Bundesamt fur Seeschifffart und Hydrographie, 48 pp., 2001.; Fu, W., Zhu, J., and Yan, C.: A comparison between 3DVAR and EnOI techniques for satellite altimetry data assimilation, Ocean Model., 26, 206–216, 2009.; Hackert, E. C., Miller, R. N., and Busalacchi, A. J.: An optimized design for a moored instrument array in the tropical Atlantic Ocean, J. Geophys. Res., 103, 7491–7509, 1998.; Hirschi, J., Baehr, J., Marotzke, J., Stark, J., Cunningham, S., and Beismann, J.-O.: A monitoring design for the Atlantic meridional overturning circulation, Geophys. Res. Lett., 30, 1413, doi:10.1029/2002GL016776, 2003.; Høyer, J. L. and She, J.: Optimal interpolation of SST for the North Sea and Baltic Sea systems, J. Marine Syst., 65, 176–189, 2007.; ICES: Baltic Sea Patchiness Experiment (PEX-86). Part I, edited by: Dybern, B. I. and Hansen, H. P., ICES Coop. Res. Rep., 163 pp., 1989.; ICES: Baltic Sea Patchiness Experiment PEX-86. Part II. Atlas, edited by: Elken, J., Lips, U., Talpsepp, L., and Väravas, H., Tallinn, 178 pp., 1992.; Kelly, G. A.: Influence of observations on the Operational ECMWF System, WMO Bull., 46, 336–342, 1997.; Kleine, E.: Das operationelle Modell des BSH feur Nordsee und Ostsee, Konzeption und Uebersicht, Bundesamt fur Seeschifffart und Hydrographie, Technical Report vol. 126S, 1994.; Kharne, S. P. and Anderson, J. L.: An examination of ensemble filters based adaptive observation methodologies, Tellus, 58A, 179–195, 2006.; Kuo, T. H., Zou, X., and Huang, W.: The impact of global positioniing system data and prediction of and extratropical cyclone: An observing system simulation experimetn. Dynam. Atmos. Oceans, 27, 439–470, 1998.; Larsen, J., Høyer, J. L., and She, J.: Validation of a hybrid optimal interpolation and Kalman filter scheme for sea surface temperature assimilation, J. Marine Syst., 65, 122–133, 2007.; Langland, R. H.: Issues in targeted observations, Q. J. Roy. Meteor


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