nerc.ac.uk

Coupled 3D physical and biological modelling of the mesoscale variability observed in north-east Atlantic in spring 1997: biological processes

Popova, E.E. ORCID: https://orcid.org/0000-0002-2012-708X; Lozano, C.J.; Srokosz, M.A. ORCID: https://orcid.org/0000-0002-7347-7411; Fasham, M.J.R.; Haley, P.J.; Robinson, A.R.. 2002 Coupled 3D physical and biological modelling of the mesoscale variability observed in north-east Atlantic in spring 1997: biological processes. Deep Sea Research Part I: Oceanographic Research Papers, 49 (10). 1741-1768. https://doi.org/10.1016/S0967-0637(02)00091-2

Full text not available from this repository.

Abstract/Summary

A limited area, eddy resolving coupled physical and biological model and data assimilation are used to reproduce and analyse the ecosystem variability observed in the North-East Atlantic in April-May 1997 on Discovery cruise 227. The ecosystem was in a post-bloom grazing controlled regime. The combination of the deep mixing in the upper layer during the cruise and a deeper than average winter convection led to high-nutrient-low-chlorophyll type conditions, which are unusual for this location. These conditions and lack of strong mesoscale physical features led to low spatial variability of phyto- and zooplankton yet strong sensitivity to the variations in the vertical mixing (storm event). Modelling results show that plankton patchiness formation under these conditions was dominated by biological mechanisms (mainly predator-prey oscillations). Furthermore, this mechanism, together with mixing and stirring, are responsible in this order for the observed scales and variability of patchiness from homogeneous low winter concentrations of phyto- and zooplankton

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/S0967-0637(02)00091-2
ISSN: 0967-0637
Additional Keywords: modelling, ecosystems, mesoscale processes, data assimilation
Date made live: 04 Jun 2004 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/105979

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...