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Abstracts - Posters
P6. Data assimilation in biogeochemical models
Andersson, J.H. 1 , Sørensen, J.V.T, 1 , Erichsen, A.C. 1 , Kaas, H. 1 , Closter, R.M. 1 , Uhrenholdt, T. 1 &
Hansen, L.B. 2
1 DHI, Agern Allé 5, 2970, Hørsholm, Denmark jan@dhigroup.com, jts@dhigroup.com,
aer@dhigroup.com, hka@dhigroup.com, rmc@dhigroup.com, thu@dhigroup.com,
2 GRAS, Øster Voldgade 10, 1350, København K, Denmark lbh@grasdk.com
Biogeochemical models have been used successfully for a long time in the Inner Danish Waters.
The models have been developed continuously, along with increased knowledge about the
biogeochemical processes governing the transformation of nutrients and growth of phytoplankton.
Parallel to the development of biogeochemical model processes, hydrodynamic models with
flexible model resolution have become available, allowing for high-resolution in the narrow straits
while maintaining a coarser resolution in the open areas, in order to optimize computation time.
Despite these advances in hydrodynamic and biogeochemical modeling, there is still room for
improvement, by utilizing observations from buoys or satellites, available in real or near real time.
As part of EU FP7 project Aquamar, a method for assimilating observed data into biogeochemical
models based on the Ensemble Kalman filter technique, have been developed.
By combining state-of-the art models with observations of high quality it is possible to make
optimal use of both sources of information in order to produce an improved model forecast.
Program 17. danske havforskermøde, 123