Articles | Volume 9, issue 4
https://doi.org/10.5194/gmd-9-1293-2016
https://doi.org/10.5194/gmd-9-1293-2016
Model description paper
 | 
05 Apr 2016
Model description paper |  | 05 Apr 2016

ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels

Momme Butenschön, James Clark, John N. Aldridge, Julian Icarus Allen, Yuri Artioli, Jeremy Blackford, Jorn Bruggeman, Pierre Cazenave, Stefano Ciavatta, Susan Kay, Gennadi Lessin, Sonja van Leeuwen, Johan van der Molen, Lee de Mora, Luca Polimene, Sevrine Sailley, Nicholas Stephens, and Ricardo Torres

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Cited articles

Aksnes, D. L. and Egge, J. K.: A theoretical model for nutrient uptake in phytoplankton, Mar. Ecol.-Prog. Ser., 70, 65–72, https://doi.org/10.3354/meps070065, 1991.
Allen, J. I. and Somerfield, P. J.: A multivariate approach to model skill assessment, J. Marine Syst., 76, 83–94, https://doi.org/10.1016/j.jmarsys.2008.05.009, 2009.
Allen, J. I., Somerfield, P. J., and Siddonr, J.: Primary and bacterial production in the Mediterranean Sea: a modelling study, J. Marine Syst., 33–34, 473–495, https://doi.org/10.1016/S0924-7963(02)00072-6, 2002.
Allen, J. I., Blackford, J. C., Holt, J., Proctor, R., Ashworth, M., and Siddorn, J.: A highly spatially resolved ecosystem model for the North West European Continental Shelf, Sarsia, 86, 423–440, 2001.
Allen, J. I., Somerfield, P. J., and Gilbert, F. J.: Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models, in: Contributions from Advances in Marine Ecosystem Modelling Research, 27–29 June 2005, Plymouth, UK AMEMR, 64, 3–14, available at: http://www.sciencedirect.com/science/article/pii/S0924796306001035 (last access: 14 August 2015), 2007.
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Short summary
ERSEM 15.06 is a model for marine biogeochemistry and the lower trophic levels of the marine food web. It comprises a pelagic and benthic sub-model including the microbial food web and the major biogeochemical cycles of carbon, nitrogen, phosphorus, silicate, and iron using dynamic stochiometry. Further features include modules for the carbonate system and calcification. We present full mathematical descriptions of all elements along with examples at various scales up to 3-D applications.