Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 4
Geosci. Model Dev., 9, 1293–1339, 2016
https://doi.org/10.5194/gmd-9-1293-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 1293–1339, 2016
https://doi.org/10.5194/gmd-9-1293-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
Related authors  
The UKC2 regional coupled environmental prediction system
Huw W. Lewis, Juan Manuel Castillo Sanchez, Jennifer Graham, Andrew Saulter, Jorge Bornemann, Alex Arnold, Joachim Fallmann, Chris Harris, David Pearson, Steven Ramsdale, Alberto Martínez-de la Torre, Lucy Bricheno, Eleanor Blyth, Victoria A. Bell, Helen Davies, Toby R. Marthews, Clare O'Neill, Heather Rumbold, Enda O'Dea, Ashley Brereton, Karen Guihou, Adrian Hines, Momme Butenschon, Simon J. Dadson, Tamzin Palmer, Jason Holt, Nick Reynard, Martin Best, John Edwards, and John Siddorn
Geosci. Model Dev., 11, 1–42, https://doi.org/10.5194/gmd-11-1-2018,https://doi.org/10.5194/gmd-11-1-2018, 2018
Short summary
Marine regime shifts in ocean biogeochemical models: a case study in the Gulf of Alaska
Claudie Beaulieu, Harriet Cole, Stephanie Henson, Andrew Yool, Thomas R. Anderson, Lee de Mora, Erik T. Buitenhuis, Momme Butenschön, Ian J. Totterdell, and J. Icarus Allen
Biogeosciences, 13, 4533–4553, https://doi.org/10.5194/bg-13-4533-2016,https://doi.org/10.5194/bg-13-4533-2016, 2016
Short summary
The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function: a case study with ERSEM
L. de Mora, M. Butenschön, and J. I. Allen
Geosci. Model Dev., 9, 59–76, https://doi.org/10.5194/gmd-9-59-2016,https://doi.org/10.5194/gmd-9-59-2016, 2016
Short summary
iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework
L. Kwiatkowski, A. Yool, J. I. Allen, T. R. Anderson, R. Barciela, E. T. Buitenhuis, M. Butenschön, C. Enright, P. R. Halloran, C. Le Quéré, L. de Mora, M.-F. Racault, B. Sinha, I. J. Totterdell, and P. M. Cox
Biogeosciences, 11, 7291–7304, https://doi.org/10.5194/bg-11-7291-2014,https://doi.org/10.5194/bg-11-7291-2014, 2014
Heterogeneity of impacts of high CO2 on the North Western European Shelf
Y. Artioli, J. C. Blackford, G. Nondal, R. G. J. Bellerby, S. L. Wakelin, J. T. Holt, M. Butenschön, and J. I. Allen
Biogeosciences, 11, 601–612, https://doi.org/10.5194/bg-11-601-2014,https://doi.org/10.5194/bg-11-601-2014, 2014
Related subject area  
Biogeosciences
Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED)
Dave van Wees and Guido R. van der Werf
Geosci. Model Dev., 12, 4681–4703, https://doi.org/10.5194/gmd-12-4681-2019,https://doi.org/10.5194/gmd-12-4681-2019, 2019
Short summary
A lattice-automaton bioturbation simulator with coupled physics, chemistry, and biology in marine sediments (eLABS v0.2)
Yoshiki Kanzaki, Bernard P. Boudreau, Sandra Kirtland Turner, and Andy Ridgwell
Geosci. Model Dev., 12, 4469–4496, https://doi.org/10.5194/gmd-12-4469-2019,https://doi.org/10.5194/gmd-12-4469-2019, 2019
Short summary
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description
Marcos Longo, Ryan G. Knox, David M. Medvigy, Naomi M. Levine, Michael C. Dietze, Yeonjoo Kim, Abigail L. S. Swann, Ke Zhang, Christine R. Rollinson, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4309–4346, https://doi.org/10.5194/gmd-12-4309-2019,https://doi.org/10.5194/gmd-12-4309-2019, 2019
Short summary
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America
Marcos Longo, Ryan G. Knox, Naomi M. Levine, Abigail L. S. Swann, David M. Medvigy, Michael C. Dietze, Yeonjoo Kim, Ke Zhang, Damien Bonal, Benoit Burban, Plínio B. Camargo, Matthew N. Hayek, Scott R. Saleska, Rodrigo da Silva, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4347–4374, https://doi.org/10.5194/gmd-12-4347-2019,https://doi.org/10.5194/gmd-12-4347-2019, 2019
Short summary
Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
Elias C. Massoud, Chonggang Xu, Rosie A. Fisher, Ryan G. Knox, Anthony P. Walker, Shawn P. Serbin, Bradley O. Christoffersen, Jennifer A. Holm, Lara M. Kueppers, Daniel M. Ricciuto, Liang Wei, Daniel J. Johnson, Jeffrey Q. Chambers, Charlie D. Koven, Nate G. McDowell, and Jasper A. Vrugt
Geosci. Model Dev., 12, 4133–4164, https://doi.org/10.5194/gmd-12-4133-2019,https://doi.org/10.5194/gmd-12-4133-2019, 2019
Short summary
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.
Publications Copernicus
Download
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.
ERSEM 15.06 is a model for marine biogeochemistry and the lower trophic levels of the marine...
Citation