Die Kuste, 81 (2014), 273-290
288
5.4 Ecosystem modelling
Several fields, among them die implementation of the European marine directives, e.g.
the Water Framework Directive or the Marine Strategy Framework Directive, have an
increasing demand for marine information which are not limited to the physical environ
ment. In order to build up a capacity for providing biogeochemical information to a
broad range of customers an ecosystem component is under development. Based on a
coupling of F1BM and the well-established ecosystem model ERGOM (Neumann 2000;
MAAR et al. 2011) an operational setup for the North Sea and the Baltic Sea has been cre
ated which is in the calibration phase at the moment.
5.5 Coupled models
Another area of intensive development is the further integration of different model com
ponents into one coupled system.
Although the integration of ocean and ice has been established several years ago and
runs fully operational at BSF1 there is still large room for improvements. Especially the
simulation of ice rheology and related dynamics of sea ice is under further investigation.
Other areas of model coupling have already come a long way, too. The coupling of
ocean currents and surface waves had entered a pre-operational stage already some years
ago (MURAWSKI 2007) and is now reinvestigated based on die latest development of die
single components (HBM for ocean circulation, WAM (KOMEN et al. 1994; KlESER et al.
2012) for surface waves). The next step in coupling, which has not been addressed at
BSH so far, is die coupling of ocean and atmosphere where a coupled system based on
COSMO (2013) and HBM is planned.
5.6 Upgrade of computing facilities/massive parallelization
Running an operational ocean forecasting system is a computationally expensive task.
Steadily increasing user demands make a continuous upgrade of die computational facili
ties a necessity. In order to better support massive parallelization needed for future high
resolution setups and especially die data assimilation die next computer generation at
BSH will be a Linux cluster which will give a boost in scalability of the system and a
strong reduction in computing costs.
6 References
Berg, P.: Mixing in HBM. Scientific Report. Copenhagen, Danisch Meteorological Insti
tute. 12-03, 2012.
Berg, P. and POULSEN, J.W.: Implementation details for HBM. Technical Report
Copenhagen, Danish Meteorological Institute. 12-11, 2012.
BERGSTROM, S.: The HBV model. In: SlNGH, V.P. (Ed.) Computer Models of Watershed
Hydrology. Water Resources Publications, Highlands Ranch, CO., pp. 443-476,
1995.