|COMMUNITY WHITE PAPER||10.5270/OceanObs09.cwp.56|
Observational Needs of Dynamic Green Ocean Models
Corinne Le Quéré(1), Shubha Sathyendranath(2), Vogt Meike(3), Erik.T. Buitenhuis(4), Laurent Bopp(5), Scott Doney(6), Stephanie Dutkiewicz(7), Richard J. Geider(8), Sandy Harrison(9), Christine Klaas(10), Louis Legendre(11), Stephane Pesant(12), Trevor Platt(2), Colin Prentice(13), Richard Rivkin(14), Dieter Wolf-Gladrow(10), Yasuhiro Yamanaka(15)
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The numerical modelling community is an important user group of ocean observations requiring data of global coverage for model parameterisation and evaluation. Dynamic Green Ocean Models (DGOMs) are a class of ocean biogeochemistry models that represent various types of plankton with distinct functions in food webs and biogeochemical cycles. DGOMs are used to study the feedbacks between climate and ocean biogeochemistry, particularly those mediated by ecosystem dynamics that influence CO2, DMS, and N2O fluxes to and from the atmosphere. DGOMs require experimental data for the parameterization of plankton growth and loss rates and of ecological interactions, and a range of observations for their evaluation. The most urgent data needs are: (1) decadal trends in surface ocean pCO2 and sub-surface O2, (2) biomass (in carbon concentration) and (3) growth rates as a function of temperature for the important plankton types, and (4) sinking flux of particulate organic carbon. A global coverage is essential to evaluate the model mean state. Repeated measurements for all seasons are most useful to evaluate the model response to environmental change. These data can be obtained by a combination of platforms, including remote sensing, repeat sections and gliders, and oceanic and atmospheric time-series stations.
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This paper shall be cited as:
Le Quéré, C. & Co-Authors (2010). "Observational Needs of Dynamic Green Ocean Models" in Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy, 21-25 September 2009, Hall, J., Harrison, D.E. & Stammer, D., Eds., ESA Publication WPP-306, doi:10.5270/OceanObs09.cwp.56
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