Articles | Volume 12, issue 5
Geosci. Model Dev., 12, 1765–1789, 2019
https://doi.org/10.5194/gmd-12-1765-2019
Geosci. Model Dev., 12, 1765–1789, 2019
https://doi.org/10.5194/gmd-12-1765-2019
Development and technical paper
06 May 2019
Development and technical paper | 06 May 2019

Towards end-to-end (E2E) modelling in a consistent NPZD-F modelling framework (ECOSMO E2E_v1.0): application to the North Sea and Baltic Sea

Ute Daewel et al.

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Cited articles

Anders, K. and Möller, H.: Seasonal fluctuations in macrobenthic fauna of the Fucus belt in Kiel Fjord (western Baltic Sea), Helgoländer Meeresun., 36, 277–283, 1983. 
Andersson, A., Hajdu, S., Haecky, P., Kuparinen, J., and Wikner, J.: Succession and growth limitation of phytoplankton in the Gulf of Bothnia (Baltic Sea), Mar. Biol., 126, 791–801, https://doi.org/10.1007/BF00351346, 1996. 
Bagge, O., Thurow, F., Steffensen, E., and Bay, J.: The Baltic cod, Dana, 10, 1–28, 1994. 
Barthel, K., Daewel, U., Pushpadas, D., Schrum, C., Årthun, M., and Wehde, H.: Resolving frontal structures: On the computational costs and pay-off using a less diffusive but computational more expensive advection scheme, Ocean Dynam., 62, 1457–1470, https://doi.org/10.1007/s10236-012-0578-9, 2012. 
Blackford, J. C., Allen, J. I., and Gilbert, F. J.: Ecosystem dynamics at six contrasting sites?: a generic modelling study, J. Mar. Syst., 52, 191–215, https://doi.org/10.1016/j.jmarsys.2004.02.004, 2004. 
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Short summary
Here we propose a novel modelling approach that includes an extended food web in a functional-group-type marine ecosystem model (ECOSMO E2E) by formulating new groups for macrobenthos and fish. This enables the estimation of the dynamics of the higher-trophic-level production potential and constitutes a more consistent closure term for the lower-trophic-level ecosystem. Thus, the model allows for the study of the control mechanisms for marine ecosystems at a high spatial and temporal resolution.