Ocean models

Ocean models

 
General description: The contributing models correspond to the ocean biogeochemistry models that were used in the RECCAP synthesis (see http://www.globalcarbonproject.org/reccap/products.htm). All simulations use a prognostic biogeochemistry model embedded in a physical ocean circulation model that is run online. The surface forcing for the dynamical models consists of using atmospheric flux fields derived from a combination of reanalysis and remotely sensed products. Surface buoyancy forcing is accomplished through the use of bulk formulas or other 20 methods for heat and freshwater fluxes, with a restoring of SSS towards climatological values being characteristic of most of the models. The models considered here are coarse resolution models that are neither eddy permitting nor eddy resolving.
The model results are compared in “Shii, M., et al. (2013): Air-sea CO2 flux in the Pacific Ocean for the period 1990–2009, Biogeosciences, 10, 12155-12216, doi:10.5194/bgd-10-12155-2013, 2013”.
The use of data is conditional on citing the original data sources. Full details on how to cite the data are given for each land model in the references below and in the corresponding web links. The Global Carbon Project facilitates access to data to encourage its use and promote a good understanding of the carbon cycle.  Respecting original data sources is key to help secure the support to enhance, maintain and update valuable data.
 
WHOI:
Contacts: Scott Doney (sdoney@whoi.edu)
Description:  see references
References :
Doney, S. C., et al.: Mechanisms governing interannual variability in upper-ocean inorganic carbon system and air–sea CO2 fluxes: Physical climate and atmospheric dust, Deep-Sea Research Part Ii-Topical Studies in Oceanography, 56, 640-655, 2009
Doney, S. C., et al.: Skill metrics for confronting global upper ocean ecosystem-biogeochemistry models against field and remote sensing data, Journal of Marine Systems, 76, 95-112, http://dx.doi.org/10.1016/j.jmarsys.2008.05.015, 2009.
Data access: contact Scott Doney
 
NEMO-PISCES:
Contacts: Laurent Bopp (Laurent.bopp@lsce.ipsl.fr)
Description: see reference
References :
Aumont, O., and Bopp, L.: Globalizing results from ocean in situ iron fertilization studies, Global Biogeochemical Cycles, 20, GB2017, 10.1029/2005GB002591, 2006.
Data access: contact Laurent Bopp
 
MICOM-HAMOCC:
Contacts: Jörg Schwinger (jorg.schwinger@gfi.uib.no)
Description: see reference
References:
Assmann, K. M., et al.: An isopycnic ocean carbon cycle model, Geoscientific Model Development, 3, 143-167, 2010.
Data access: contact Jörg Schwinger
 
MPI-MET:
Contacts:  Joachim Segschneider (Joachim.segschneider@mpimet.mpg.de)
Description: see reference
References:
Ilyina, T., et al.: The global ocean biogeochemistry model HAMOCC: Model architecture and performance as component of the MPI-Earth System Model in different CMIP5 experimental realizations, Journal of Advances in Modeling Earth Systems, doi: 10.1002/jame.20017, 2013.
Data access: contact Joachim Segschneider
 
NEMO-PlankTOM5:
Contacts: Corinne Le Quéré (c.lequere@uea.ac.uk) ; Erik T. Buitenhuis (e.buitenhuis@uea.ac.uk)
References:
Buitenhuis, E. T., et al.: Biogeochemical fluxes through microzooplankton, Global Biogeochemical Cycles, GB4015, 10.1029/2009GB003601, 2010.
Data access: contact Corinne Le Quéré
 
CSIRO-BOGCM:
Contacts: Andrew Lenton (Andrew.Lenton@csiro.au)
Description: see references
References:
Lenton, A. and R.J. Matear (2007). Role of the Southern Annular Mode (SAM) in Southern Ocean CO2 uptake. Global Biogeochem. Cycles, 21, GB2016.
Matear, R. J. and A. Lenton (2008). Impact of Historical Climate Change on the Southern Ocean Carbon Cycle. J. Climate, 21, 5820–5834. doi: http://dx.doi.org/10.1175/2008JCLI2194.1
Data access: contact Andrew Lenton
 
 
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