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Journal article · Preprint article

The influence of winter convection on primary production: A parameterisation using a hydrostatic three-dimensional biogeochemical model

From

University of Hamburg1

National Institute of Aquatic Resources, Technical University of Denmark2

Section for Marine Ecology and Oceanography, National Institute of Aquatic Resources, Technical University of Denmark3

In the recent past observational and modelling studies have shown that the vertical displacement of water parcels, and therefore, phytoplankton particles in regions of deep-reaching convection plays a key role in latewinter/ early spring primary production. The underlying mechanism describes how convection cells capture living phytoplankton cells and recurrently expose them to sunlight.

This study presents a parameterisation alled ‘phytoconvection’which focusses on the influence of convection on primary production. This parameterisationwas implemented into a three-dimensional physical–biogeochemical model and applied to the Northwestern European Continental Shelf and areas of the adjacent Northeast Atlantic.

The simulation was compared to a ‘conventional’ parameterisation with respect to its influence on phytoplankton concentrations during the annual cycle and its effect on the carbon cycle. The simulation using the new parameterisation showed good agreement with observation data recorded during winter, whereas the reference simulation did not capture the observed phytoplankton concentrations.

The new parameterisation had a strong influence on the carbon export through the sinking of particulate organic carbon. The carbon export during late winter/early spring significantly exceeded the export of the reference run. Furthermore, a non-hydrostatic convection model was used to evaluate the major assumption of the presented parameterisation which implies the matching of the mixed layer depth with the convective mixing depth.

The applied mixed layer depth criterion principally overestimates the actual convective mixing depth. However, the results showed that this assumption is reasonable during late winter, while indicating a mismatch during spring

Language: English
Publisher: Elsevier
Year: 2014
Pages: 138-152
ISSN: 18791573 and 09247963
Types: Journal article and Preprint article
DOI: 10.1016/j.jmarsys.2014.07.002

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