Popova, E.E.
ORCID: https://orcid.org/0000-0002-2012-708X; Coward, A.C.
ORCID: https://orcid.org/0000-0002-9111-7700; Nurser, G.A.; de Cuevas, B.; Fasham, M.J.R.; Anderson, T.R.
ORCID: https://orcid.org/0000-0002-7408-1566.
2006
Mechanisms controlling primary and new production in a global ecosystem model Part I: Validation of the biological simulation.
Ocean Science, 2 (2).
249-266.
Abstract
A global general circulation model coupled to a
simple six-compartment ecosystem model is used to study
the extent to which global variability in primary and export
production can be realistically predicted on the basis
of advanced parameterizations of upper mixed layer physics,
without recourse to introducing extra complexity in model
biology. The “K profile parameterization” (KPP) scheme
employed, combined with 6-hourly external forcing, is able
to capture short-term periodic and episodic events such as
diurnal cycling and storm-induced deepening. The model realistically
reproduces various features of global ecosystem
dynamics that have been problematic in previous global modelling
studies, using a single generic parameter set. The realistic
simulation of deep convection in the North Atlantic, and
lack of it in the North Pacific and Southern Oceans, leads
to good predictions of chlorophyll and primary production
in these contrasting areas. Realistic levels of primary production
are predicted in the oligotrophic gyres due to high
frequency external forcing of the upper mixed layer (accompanying
paper Popova et al., 2006) and novel parameterizations
of zooplankton excretion. Good agreement is shown
between model and observations at various JGOFS time series
sites: BATS, KERFIX, Papa and HOT. One exception
is the northern North Atlantic where lower grazing rates are
needed, perhaps related to the dominance of mesozooplankton
there. The model is therefore not globally robust in the
sense that additional parameterizations are needed to realistically
simulate ecosystem dynamics in the North Atlantic.
Nevertheless, the work emphasises the need to pay particular
attention to the parameterization of mixed layer physics
in global ocean ecosystem modelling as a prerequisite to increasing
the complexity of ecosystem models.
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