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An Operational Implementation of the Gher Model for the Black Sea, with Sst and Ctd Data Assimilation : Volume 6, Issue 2 (31/08/2009)

By Vandenbulcke, L.

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Book Id: WPLBN0004021067
Format Type: PDF Article :
File Size: Pages 17
Reproduction Date: 2015

Title: An Operational Implementation of the Gher Model for the Black Sea, with Sst and Ctd Data Assimilation : Volume 6, Issue 2 (31/08/2009)  
Author: Vandenbulcke, L.
Volume: Vol. 6, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Capet, A., Grégoire, M., Beckers, J. M., Vandenbulcke, L., & Besiktepe, S. (2009). An Operational Implementation of the Gher Model for the Black Sea, with Sst and Ctd Data Assimilation : Volume 6, Issue 2 (31/08/2009). Retrieved from http://worldlibrary.net/


Description
Description: GeoHydrodynamics and Environment Research, Université de Liège, Belgium. In this article, we describe the first operational implementation of the GHER hydrodynamic model. This happened onboard the research vessel Alliance, in the context of the Turkish Straits System 2008 campaign, which aimed at the real-time characterization of the Marmara Sea and (south-western) Black Sea. The model performed badly at first, mainly because of poor initial conditions. Hence, as the model includes a reduced-rank extended Kalman filter assimilation scheme, after a hindcast where sea surface temperature and temperature and salinity profiles were assimilated, the model yielded realistic forecasts. Furthermore, the time required to run a one-day simulation (about 5 min of simulation, or 10 min with pre-processing and data transfers included) is very limited and thus operational use of the model is possible.

Summary
An operational implementation of the GHER model for the Black Sea, with SST and CTD data assimilation

Excerpt
Aubrey, D. G., Oguz, T., Demirev, E., Ivanov, V., McSherry, T., Diaconu, V., and Nikolaenko, E.: Hydroblack '91 CTD Intercalibration Workshop, in: IOC Workshop Report No.91, 1992.; Barth, A., Alvera-Azcárate, A., Rixen, M., and Beckers, J. M.: Two-way nested model of mesoscale circulation features in the {L}igurian {S}ea, Progress In Oceanography, 66, 171–189, doi:10.1016/j.pocean.2004.07.017, 2005.; Beckers, J. M.: Application of a 3 D model to the {W}estern {M}editerranean, J. Marine Syst., 1, 315–332, 1991.; Beckers, J. M., Gregoire, M., Nihoul, J. C. J., Stanev, E., Staneva, J., and Lancelot, C.: Modelling the Danube-influenced North-western Continental Shelf of the Black Sea. I: Hydrodynamical Processes Simulated by 3 D and Box Models, Estuarine, Coastal and Shelf Science, 54, 453–472, doi:10.1006/ecss.2000.0658, 2002.; Brasseur, P., Beckers, J. M., Brankart, J. M., and Schoenauen, R.: Seasonal Temperature and Salinity Fields in the {M}editerranean {S}ea: {C}limatological Analyses of an Historical Data Set., Deep Sea Research, 43, 159–192, 1996.; Brasseur, P., Ballabrera, J., and Verron, J.: Assimilation of altimetric data in the mid-latitude oceans using the {S}ingular {E}volutive {E}xtended {K}alman filter with an eddy-resolving, primitive equation model, J. Marine Syst., 22, 269–294, 1999.; Grégoire, M. and Beckers, J. M.: Modeling the nitrogen fluxes in the Black Sea using a 3 D coupledhydrodynamical-biogeochemical model: transport versus biogeochemicalprocesses, exchanges across the shelf break and comparison of the shelf anddeep sea ecodynamics, Biogeosciences, 1, 33–61, 2004.; Lozano, C. J., Robinson, A. R., Arango, H. G., Gangopadhyay, A., Sloan, N. Q., Haley, P. J., and Leslie, W. G.: An interdisciplinary ocean prediction system: Assimilation strategies and structured data models, Modern Approaches to Data Assimilation in Ocean Modelling, pp. 413–452, 1996.; Ludwig, W., Dumont, E., Meybeck, W., and Heussner, S.: River discharges of water and nutrients to the Mediterranean and Black Sea: Major drivers for ecosystem changes during past and future decades, Process in Oceanography, in press, 2009.; Nihoul, J. C. J., Deleersnijder, E., and Djenidi, S.: Modelling the general circulation of shelf seas by 3 D $k-\epsilon$ Models., Earth Sci. Rev., 26, 163–189, 1989.; Ozsoy, E. and Unluata, U.: Oceanography of the Black Sea: A Review of Some Recent Results, Earth Sci. Rev, 42(4), 231–272, 1997.; Pham, D. T., Verron, J., and Roubaud, M. C.: A singular evolutive extended {K}alman filter for data assimilation in oceanography., J. Marine Syst., 16, 323–340, 1998.; Robins, A. R., Arango, H. G., Warn-Varnas, A., Leslie, W. G., Miller, A. J., Halcy, P. J., and Lozano, C. J.: Real-time regional forecasting, Modern Approaches to Data Assimilation in Ocean Modeling, 1996.; Russel, K., Rew, R., Hartnett, E. J., and Caron, J.: NetCDF-4: Software Implementing an Enhanced Data Model for the Geosciences, in: 22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, American Meteorological Society, 2006.; Smith, W. H. F. and Sandwell, D. T.: Global Sea Floor Topography from Satellite Altimetry and Ship Depth Soundings, Science, 277, 1956–1962, 1997.

 

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