Assimilation experiments in the Gdansk Basin (the southeastern Baltic): How useful are the sea level data from coastal tide gauges for modelling of hydrophysical fields?
By: Andrzej Jankowski and Jan Jądrasik
Open Access
|Dec 2007References
- Belousov, S. L., Gandin, L. S., & Mashovich S. A., (1971). Computer Processing of Meteorological Data. Israel Program for Scientific Translations, 1-210.
- Blumberg, A. F. & Mellor, G. L. (1987). A description of a three-dimensional coastal ocean circulation model. [in:] Three-Dimensional Coastal Ocean Models, N. Heaps (ed.),, 1-208.
- Bock, K.-H. (1971), Monatskarten des Salzgehaltes der Ostsee, dargestellt fur verschiedene Tiefenhorizonte. Dt. hydrogr. Z., Erg.-H. R. B., No. 12, Hamburg. 1-148.
- Daley, R. (1991). Atmospheric data analysis. Cambridge University Press, 1-457.
- Emery, W.J. & Thomson R.E. (1997). Data and Analysis Methods in Physical Oceanography. Pergamon Press, Oxford, 1-634.
- Ezer, T. & Mellor, G.L. (1997). Data assimilation experiments in the Gulf Stream Region: how usefull are sattelite - derived surface data for nowcasting the subsurface field?,, 1379 - 1391.
- Ezer, T. & Mellor, G.L. (1994). Continuous assimilation of geosat data into three-dimensional primitive equation gulf stream model.,, 832 - 847.
- Fischer, M. & Latif, M. (1995), Assimilation of temperature and sea level observations into a primitive equation model of the tropical Pacific.,, 31-46.
- Funkquist, L. (2004). Development of an analysis and data assimilation scheme in HIROMB, 7th HIROMB-Scientific Workshop, December 7-9, 2004, Helsinki.
- Funkquist, L. (2006). Data assimilation with the OI method. 9th HIROMB Scientific Workshop, 28-31 August 2006, SMHI, Gothenburg.
- Funkquist L. & Pemberton P. (2006). Development of an analysis and assimilation scheme for HIROMB, 9th HIROMB Scientific Workshop, 28-31 August 2006, SMHI, Gothenburg.
- Funkquist, L. (2006a). An Operational Data Assimilation System for the Baltic Sea. Report of the EU programme ODON, 1-5.
- Ghil, M. (1989). Meteorological data assimilation for oceanographers. Part I: description and theoretical framework.,, 171-218
- Ghil, M. & Malanotte-Rizzoli P. (1991). Data assimilation in meteorology and oceanography.,, 141-266.
- Høyer, J.L. & She J. (2007), Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea.,, 186 - 189.
- Høyer, J.L. & She, J. (2006). A new method to reduce noise on satellite sea surface temperature observations, Proceedings of EuroGOOS 4th Conference, 2005. Brest. 441-448.
- Jankowski, A. (2002a), Application of a coordinate baroclinic model to the Baltic Sea.,(1), 59-80.
- Jankowski, A. (2002b). Variability of coastal water hydrodynamics in the southern Baltic - hindcast modelling of an upwelling event along the Polish coast.,(4), 395-418.
- Kantha, L. & Clayson, C. (2000). Numerical models of oceans and oceanic processes. International Geophysical Series, 66, 1-750. Academic Press.
- Kundu, P.K. & Allen, J.S. (1976). Some three-dimensional characteristics of low-frequency current fluctuationbs near the Oregon coast.,, 181-199.
- Large, W. G. & Pond, S. (1981). Open ocean momentum flux measurements in moderate to strong winds.,, 324-336.
- Larsen, J., Høyer, J.L. & She, J. (2007). Validation of a hybrid optimal interpolation and Kalman filter scheme for sea surface temperature assimilation.,, 122-133.
- Launiainen, J. & Vihma, T. (1990). Derivation of turbulent surface fluxes - an iterative flux - profile method allowing arbitrary observing heights.,, 3, 113-124.
- Le Dimet, F.X. & Talagrand O. (1986). Variational algorithms for analysis and assimilation of meteorological observations.,, 97-110.
- Lehmann, A. (1995). A three-dimensional baroclinic eddy-resolving model of the Baltic Sea.,, 5:2, 1013-1031.
- Lehmann, A. & Hinrichsen H. H. (2000). On the wind driven and thermohaline circulation of the Baltic Sea.,, 2, 183 -189.
- Lenz, W. (1971). Monatskarten der Temperatur der Ostsee dargestellt fur verschiedene Tiefenhorizonte. Dt. hydrogr. Z., Erg.-H. R. B., 11, Hamburg, 1-148.
- Li, J.G., Killworth P.D. & Smeed A. (2003). Response of an eddy-permitting ocean model to the assimilation of sparse in situ data.,, C4, 3111, doi: 10.1029/2001JC001033.
- Malanotte-Rizoli, P. & Young R.E. (1992). How useful are localized clusters of traditional oceanographic measurements for data assimilation?,, 23-61.
- Malanotte-Rizoli P. & Young R.E. (1995). Assimilation of global versus local data sets into a regional model of the Gulf Stream.,, 24773-24796.
- Meier, H.E.M. (2004). Variational data assimilation using the adjoint method: an application for the Baltic Sea. Workshop on: Sea waves and ocean current modelling in marine ecology with emphasis on data assimilation, at the Marine Station in Hel, University of Gdansk.
- Meier, H.E.M. & Krauss, W. (1994). Data assimilation into a numerical model of the Baltic Sea using the adjoint method. Proceedings of the 19th Conference of the Baltic Oceanographers, Sopot, Poland, 447-458.
- Mellor, G.L. & Ezer T. (1994). A Gulf Stream model and an altimetry assimilation scheme.,, 8779-8795.
- Oey, L.-Y. & Chen P. (1992). A model simulation of circulation in the northeast Atlantic shelves and seas.,, 20087-20115.
- Pemberton, P. & Funkquist, L. (2006). Data Assimilation Experiments in the Baltic Sea. 9th HIROMB Scientific Workshop 2831, August 2006, SMHI, Gothenburg.
- Robinson, A.R., Lermusiaux P.F.J. & Sloan N.Q. (1998). Data assimilation. In: The Sea, 10, John Wiley and Sons, New York, NY, 541-594.
- Sarmiento, J.T. & Bryan K. (1982). An ocean transport model for the North Atlantic.,, 394-408.
- She, J., Høyer J. L. & Larsen J. (2007). Assessment of sea surface temperature observational networks in the Baltic Sea and North Sea.,, 314-335.
- She, J. & Nakamoto S., (1996). Spatial Sampling study for tropical Pacific with observed sea surface temperature.,, 1189-1201.
- Seifert, T. & Kayser, B. (1995). A high resolution spherical grid topography of the Baltic Sea. Meereswissenschaftliche Berichte, 9, Institut fur Ostseeforschung, Warnemunde, 72-88.
- Sokolov, A., Andrejev, O., Wulff F. & Medina M.R. (1997), The Data Assimilation System for Data Analysis in the Baltic Sea. Systems Ecology Contributions. 3, Stockholm University, 1-66.
- Sørensen, J.V.T., Madsen H. & Madsen H. (2003). Data assimilation in a North Sea - Baltic Sea forecasting system: theoretical aspects.,, 03482.
- Tynana, C.T., Ainleyb D.G., Barthc J.A., Cowlesc T.J., Piercec S.D. & Spearb L.B. (2005). Cetacean distributions relative to ocean processes in the northern California Current Syste.,, 145-167.
Language: English
Page range: 105 - 128
Published on: Dec 17, 2007
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2007 Andrzej Jankowski, Jan Jądrasik, published by University of Gdańsk
This work is licensed under the Creative Commons License.