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 10, issue 3
Geosci. Model Dev., 10, 1091–1106, 2017
https://doi.org/10.5194/gmd-10-1091-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Nucleus for European Modelling of the Ocean - NEMO

Geosci. Model Dev., 10, 1091–1106, 2017
https://doi.org/10.5194/gmd-10-1091-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 10 Mar 2017

Model description paper | 10 Mar 2017

Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution

Laurent Bessières et al.
Related authors  
Interactions between the Somali Current eddies during the summer monsoon: insights from a numerical study
C. Q. C. Akuetevi, B. Barnier, J. Verron, J.-M. Molines, and A. Lecointre
Ocean Sci., 12, 185–205, https://doi.org/10.5194/os-12-185-2016,https://doi.org/10.5194/os-12-185-2016, 2016
Short summary
Meridional transport of salt in the global ocean from an eddy-resolving model
A. M. Treguier, J. Deshayes, J. Le Sommer, C. Lique, G. Madec, T. Penduff, J.-M. Molines, B. Barnier, R. Bourdalle-Badie, and C. Talandier
Ocean Sci., 10, 243–255, https://doi.org/10.5194/os-10-243-2014,https://doi.org/10.5194/os-10-243-2014, 2014
Optimal adjustment of the atmospheric forcing parameters of ocean models using sea surface temperature data assimilation
M. Meinvielle, J.-M. Brankart, P. Brasseur, B. Barnier, R. Dussin, and J. Verron
Ocean Sci., 9, 867–883, https://doi.org/10.5194/os-9-867-2013,https://doi.org/10.5194/os-9-867-2013, 2013
Related subject area  
Oceanography
The Parcels v2.0 Lagrangian framework: new field interpolation schemes
Philippe Delandmeter and Erik van Sebille
Geosci. Model Dev., 12, 3571–3584, https://doi.org/10.5194/gmd-12-3571-2019,https://doi.org/10.5194/gmd-12-3571-2019, 2019
Short summary
The INALT family – a set of high-resolution nests for the Agulhas Current system within global NEMO ocean/sea-ice configurations
Franziska U. Schwarzkopf, Arne Biastoch, Claus W. Böning, Jérôme Chanut, Jonathan V. Durgadoo, Klaus Getzlaff, Jan Harlaß, Jan K. Rieck, Christina Roth, Markus M. Scheinert, and René Schubert
Geosci. Model Dev., 12, 3329–3355, https://doi.org/10.5194/gmd-12-3329-2019,https://doi.org/10.5194/gmd-12-3329-2019, 2019
Short summary
Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations with AWI-CM1.0
Thomas Rackow, Dmitry V. Sein, Tido Semmler, Sergey Danilov, Nikolay V. Koldunov, Dmitry Sidorenko, Qiang Wang, and Thomas Jung
Geosci. Model Dev., 12, 2635–2656, https://doi.org/10.5194/gmd-12-2635-2019,https://doi.org/10.5194/gmd-12-2635-2019, 2019
Short summary
OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
Keith J. Roberts, William J. Pringle, and Joannes J. Westerink
Geosci. Model Dev., 12, 1847–1868, https://doi.org/10.5194/gmd-12-1847-2019,https://doi.org/10.5194/gmd-12-1847-2019, 2019
Short summary
Ocean carbon and nitrogen isotopes in CSIRO Mk3L-COAL version 1.0: a tool for palaeoceanographic research
Pearse J. Buchanan, Richard J. Matear, Zanna Chase, Steven J. Phipps, and Nathan L. Bindoff
Geosci. Model Dev., 12, 1491–1523, https://doi.org/10.5194/gmd-12-1491-2019,https://doi.org/10.5194/gmd-12-1491-2019, 2019
Short summary
Cited articles  
Barnier, B., Siefridt, L., and Marchesiello, P.: Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses, J. Mar. Syst., 6, 363–380, https://doi.org/10.1016/0924-7963(94)00034-9, 1995.
Bertino, L., Evensen, G., and Wackernagel, H.: Sequential data assimilation techniques in oceanography, Int. Stat. Rev., 71, 223–241, 2003.
Brankart, J.-M.: Impact of uncertainties in the horizontal density gradient upon low resolution global ocean modelling, Ocean Model., 66, 64–76, 2013.
Brankart, J.-M., Testut, C.-E., Béal, D., Doron, M., Fontana, C., Meinvielle, M., Brasseur, P., and Verron, J.: Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations, Ocean Sci., 8, 121–142, https://doi.org/10.5194/os-8-121-2012, 2012.
Publications Copernicus
Download
Short summary
A new, probabilistic version of an ocean modelling system has been implemented in order to simulate the chaotic and the atmospherically forced contributions to the ocean variability. For that purpose, a large ensemble of global hindcasts has been performed. Results illustrate the importance of the oceanic chaos on climate-related oceanic indices, and the relevance of such probabilistic ocean modelling approaches to anticipating the behaviour of the next generation of coupled climate models.
A new, probabilistic version of an ocean modelling system has been implemented in order to...
Citation