Articles | Volume 12, issue 1
Geosci. Model Dev., 12, 275–320, 2019
Geosci. Model Dev., 12, 275–320, 2019

Model description paper 17 Jan 2019

Model description paper | 17 Jan 2019

Ecological ReGional Ocean Model with vertically resolved sediments (ERGOM SED 1.0): coupling benthic and pelagic biogeochemistry of the south-western Baltic Sea

Hagen Radtke et al.

Related authors

Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea
Robert Daniel Osinski, Kristina Enders, Ulf Gräwe, Knut Klingbeil, and Hagen Radtke
Ocean Sci., 16, 1491–1507,,, 2020
Short summary
ICONGETM v1.0 – Flexible two-way coupling via exchange grids between the unstructured-grid atmospheric model ICON and the structured-grid coastal ocean model GETM
Tobias Peter Bauer, Knut Klingbeil, Peter Holtermann, Bernd Heinold, Hagen Radtke, and Oswald Knoth
Geosci. Model Dev. Discuss.,,, 2020
Revised manuscript accepted for GMD
Short summary
Investigating interdecadal salinity changes in the Baltic Sea in a 1850–2008 hindcast simulation
Hagen Radtke, Sandra-Esther Brunnabend, Ulf Gräwe, and H. E. Markus Meier
Clim. Past, 16, 1617–1642,,, 2020
Short summary
Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5
Robert Daniel Osinski and Hagen Radtke
Ocean Sci., 16, 355–371,,, 2020
Short summary
Quantifying the contribution of shipping NOx emissions to the marine nitrogen inventory – a case study for the western Baltic Sea
Daniel Neumann, Matthias Karl, Hagen Radtke, Volker Matthias, René Friedland, and Thomas Neumann
Ocean Sci., 16, 115–134,,, 2020
Short summary

Related subject area

Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations
Andrew Yool, Julien Palmiéri, Colin G. Jones, Lee de Mora, Till Kuhlbrodt, Ekatarina E. Popova, A. J. George Nurser, Joel Hirschi, Adam T. Blaker, Andrew C. Coward, Edward W. Blockley, and Alistair A. Sellar
Geosci. Model Dev., 14, 3437–3472,,, 2021
Short summary
Iron and sulfur cycling in the cGENIE.muffin Earth system model (v0.9.21)
Sebastiaan J. van de Velde, Dominik Hülse, Christopher T. Reinhard, and Andy Ridgwell
Geosci. Model Dev., 14, 2713–2745,,, 2021
Short summary
BFM17 v1.0: a reduced biogeochemical flux model for upper-ocean biophysical simulations
Katherine M. Smith, Skyler Kern, Peter E. Hamlington, Marco Zavatarelli, Nadia Pinardi, Emily F. Klee, and Kyle E. Niemeyer
Geosci. Model Dev., 14, 2419–2442,,, 2021
Short summary
A mechanistic analysis of tropical Pacific dynamic sea level in GFDL-OM4 under OMIP-I and OMIP-II forcings
Chia-Wei Hsu, Jianjun Yin, Stephen M. Griffies, and Raphael Dussin
Geosci. Model Dev., 14, 2471–2502,,, 2021
Short summary
Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1.2)
Oliver Gutjahr, Nils Brüggemann, Helmuth Haak, Johann H. Jungclaus, Dian A. Putrasahan, Katja Lohmann, and Jin-Song von Storch
Geosci. Model Dev., 14, 2317–2349,,, 2021
Short summary

Cited articles

Al-Hassan, Q.: On Powers of Tridiagonal Matrices with Nonnegative Entries, J. Appl. Math. Sci., 6, 2357–2368, 2012. a, b
Al-Raei, A. M., Bosselmann, K., Böttcher, M. E., Hespenheide, B., and Tauber, F.: Seasonal dynamics of microbial sulfate reduction in temperate intertidal surface sediments: controls by temperature and organic matter, Ocean Dynam., 59, 351–370, 2009. a
Andersson, A., Haecky, P., and Hagström, Å.: Effect of temperature and light on the growth of micro-nano-and pico-plankton: impact on algal succession, Mar. Biol., 120, 511–520, 1994. a
Arndt, S., Jørgensen, B. B., LaRowe, D. E., Middelburg, J. J., Pancost, R. D., and Regnier, P.: Quantifying the degradation of organic matter in marine sediments: A review and synthesis, Earth-Sci. Rev., 123, 53–86,, 2013. a
Bale, A. J. and Morris, A. W.: Organic carbon in suspended particulate material in the North Sea: Effect of mixing resuspended and background particles, Cont. Shelf Res., 18, 1333–1345,, 1998. a, b
Short summary
This paper describes a coupled benthic–pelagic biogeochemical model, ERGOM-SED. We demonstrate its use in a one-dimensional physical model, which is horizontally integrated and vertically resolved. We describe the application of the model to seven stations in the south-western Baltic Sea. The model was calibrated using pore water profiles from these stations. We compare the model results to these and to measured sediment compositions, benthopelagic fluxes and bioturbation intensities.