Articles | Volume 14, issue 7
Geosci. Model Dev., 14, 4535–4554, 2021
https://doi.org/10.5194/gmd-14-4535-2021
Geosci. Model Dev., 14, 4535–4554, 2021
https://doi.org/10.5194/gmd-14-4535-2021

Development and technical paper 23 Jul 2021

Development and technical paper | 23 Jul 2021

A discrete interaction numerical model for coagulation and fragmentation of marine detritic particulate matter (Coagfrag v.1)

Gwenaëlle Gremion et al.

Related authors

The benefits to climate science of including early-career scientists as reviewers
Mathieu Casado, Gwenaëlle Gremion, Paul Rosenbaum, Jilda Alicia Caccavo, Kelsey Aho, Nicolas Champollion, Sarah L. Connors, Adrian Dahood, Alfonso Fernandez, Martine Lizotte, Katja Mintenbeck, Elvira Poloczanska, and Gerlis Fugmann
Geosci. Commun., 3, 89–97, https://doi.org/10.5194/gc-3-89-2020,https://doi.org/10.5194/gc-3-89-2020, 2020
Short summary

Related subject area

Oceanography
Parallel computing efficiency of SWAN 40.91
Christo Rautenbach, Julia C. Mullarney, and Karin R. Bryan
Geosci. Model Dev., 14, 4241–4247, https://doi.org/10.5194/gmd-14-4241-2021,https://doi.org/10.5194/gmd-14-4241-2021, 2021
Short summary
Integrating CVMix into GOTM (v6.0): a consistent framework for testing, comparing, and applying ocean mixing schemes
Qing Li, Jorn Bruggeman, Hans Burchard, Knut Klingbeil, Lars Umlauf, and Karsten Bolding
Geosci. Model Dev., 14, 4261–4282, https://doi.org/10.5194/gmd-14-4261-2021,https://doi.org/10.5194/gmd-14-4261-2021, 2021
Short summary
A NEMO-based model of Sargassum distribution in the tropical Atlantic: description of the model and sensitivity analysis (NEMO-Sarg1.0)
Julien Jouanno, Rachid Benshila, Léo Berline, Antonin Soulié, Marie-Hélène Radenac, Guillaume Morvan, Frédéric Diaz, Julio Sheinbaum, Cristele Chevalier, Thierry Thibaut, Thomas Changeux, Frédéric Menard, Sarah Berthet, Olivier Aumont, Christian Ethé, Pierre Nabat, and Marc Mallet
Geosci. Model Dev., 14, 4069–4086, https://doi.org/10.5194/gmd-14-4069-2021,https://doi.org/10.5194/gmd-14-4069-2021, 2021
Short summary
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, https://doi.org/10.5194/gmd-14-3437-2021,https://doi.org/10.5194/gmd-14-3437-2021, 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, https://doi.org/10.5194/gmd-14-2713-2021,https://doi.org/10.5194/gmd-14-2713-2021, 2021
Short summary

Cited articles

Ackleh, A. S.: Parameter estimation in a structured algal coagulation-fragmentation model, Nonlinear Anal.-Theor., 28, 837–854, https://doi.org/10.1016/0362-546X(95)00195-2, 1997. a
Alldredge, A.: The carbon, nitrogen and mass content of marine snow as a function of aggregate size, Deep-Sea Res. Pt. I, 45, 529–541, https://doi.org/10.1016/S0967-0637(97)00048-4, 1998. a, b
Alldredge, A. L., Granata, T. C., Gotschalk, C. C., and Dickey, T. D.: The physical strength of marine snow and its implications for particle disaggregation in the ocean, Limnol. Oceanogr., 35, 1415–1428, https://doi.org/10.4319/lo.1990.35.7.1415, 1990. a, b, c
Anderson, T. and Gentleman, W.: The legacy of Gordon Arthur Riley (1911–1985) and the development of mathematical models in biological oceanography, J. Mar. Res., 70, 1–30, https://doi.org/10.1357/002224012800502390, 2012. a
Anderson, T. R.: Plankton functional type modelling: running before we can walk?, J. Plankton Res., 27, 1073–1081, https://doi.org/10.1093/plankt/fbi076, 2005. a
Download
Short summary
An accurate description of detritic organic particles is key to improving estimations of carbon export into the ocean abyss in ocean general circulation models. Yet, most parametrization are numerically impractical due to the required number of tracers needed to resolve the particle size spectrum. Here, a new parametrization that aims to minimize the tracers number while accurately describing the particles dynamics is developed and tested in a series of idealized numerical experiments.