3D ecosystem modelling in the North Atlantic: Relative impacts of physical and biological parameterizations

A simple ecosystem model is coupled to a 3-dimensional general circulation model for the North Atlantic. The physical model is based on the Los Alamos Parallel Ocean Program (POP) and forced by climatological monthly mean data. Four biological components (phytoplankton, zooplankton, nutrients and detritus) are incorporated into POP as additional tracers with biological sources and sinks. The model solutions, obtained with different physical and biological parameterizations are compared against monthly mean SeaWiFS colour data averaged over the period 1997–2003 and Levitus's climatological nitrate data. A reference model solution, with constant biological model parameters over the whole basin, underestimates both the average chlorophyll level and its regional variability at mid- to high latitudes. Experiments with a different parameterization of heat and freshwater fluxes, which affects upper ocean mixing, indicate a strong impact of such parameterizations on nutrient supply to the surface layer at high latitudes, but with little impact on simulated chlorophyll. Other experiments where advection of the biological tracers is turned off show basically the same result: strong impact on regional nutrient patterns but a negligible impact on phytoplankton patterns. Only model runs with spatially variable biological parameters, obtained from a previous zero-dimensional ecosystem model calibration on CZCS ocean colour data, could reproduce regional scale patterns in the SeaWiFS imagery. We hypothesize that some of these patterns can be linked to coccolithophore blooms in areas influenced by the N. Atlantic Drift during summer and to effects of temperature on plankton loss rates during spring. Future work should focus on identifying the main factors responsible for these spatial patterns and developing the ecosystem models that can capture them.

[1]  A. Oschlies Model-derived estimates of new production: New results point towards lower values , 2001 .

[2]  W. Large,et al.  Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization , 1994 .

[3]  Svetlana N. Losa,et al.  Weak constraint parameter estimation for a simple ocean ecosystem model: what can we learn about the model and data? , 2004 .

[4]  C. Brown,et al.  Coccolithophorid blooms in the global ocean , 1994 .

[5]  T. Platt,et al.  Basin-scale estimates of oceanic primary production by remote sensing - The North Atlantic , 1991 .

[6]  Watson W. Gregg,et al.  Phytoplankton and iron: validation of a global three-dimensional ocean biogeochemical model , 2003 .

[7]  Toby Tyrrell,et al.  A modelling study of Emiliania huxleyi in the NE atlantic , 1996 .

[8]  M. Fasham,et al.  Modelling the Marine Biota , 1993 .

[9]  J. Toggweiler,et al.  A seasonal three‐dimensional ecosystem model of nitrogen cycling in the North Atlantic Euphotic Zone , 1993 .

[10]  Scott C. Doney,et al.  The role of mesoscale variability on plankton dynamics in the North Atlantic , 2001 .

[11]  Patrick Marchesiello,et al.  Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses , 1995 .

[12]  Donald L. DeAngelis,et al.  The global carbon cycle. , 1990 .

[13]  Geir Evensen,et al.  A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical–biochemical model of the North Atlantic ocean , 2001 .

[14]  G. Kivman,et al.  An entropy approach to tuning weights and smoothing in the generalized inversion , 2001 .

[15]  James E. Cloern,et al.  An empirical model of the phytoplankton chlorophyll : carbon ratio‐the conversion factor between productivity and growth rate , 1995 .

[16]  G. Evensen,et al.  Assimilation of ocean colour data into a biochemical model of the North Atlantic: Part 1. Data assimilation experiments , 2003 .

[17]  R. C. Malone,et al.  Parallel ocean general circulation modeling , 1992 .

[18]  R. Anadón,et al.  Ingestion, faecal pellet and egg production rates of Calanus helgolandicus feeding coccolithophorid versus non-coccolithophorid diets. , 2000, Journal of experimental marine biology and ecology.

[19]  V. A. Ryabchenko,et al.  Chaotic behaviour of an ocean ecosystem model under seasonal external forcing , 1997 .

[20]  A. Longhurst Ecological Geography of the Sea , 1998 .

[21]  Meric A. Srokosz,et al.  Split-domain calibration of an ecosystem model using satellite ocean colour data , 2004 .

[22]  E. Paasche A review of the coccolithophorid Emiliania huxleyi (Prymnesiophyceae), with particular reference to growth, coccolith formation, and calcification-photosynthesis interactions , 2001 .

[23]  M. Follows,et al.  Interannual variability of phytoplankton abundances in the North Atlantic , 2001 .

[24]  Margareth N. Kyewalyanga,et al.  Seasonal variations in physiological parameters of phytoplankton across the North Atlantic , 1998 .

[25]  P. Falkowski,et al.  Representing key phytoplankton functional groups in ocean carbon cycle models: Coccolithophorids , 2002 .

[26]  M. S. Finch,et al.  A biogeochemical study of the coccolithophore, Emiliania huxleyi, in the North Atlantic , 1993 .

[27]  Andreas Oschlies,et al.  Eddy-induced enhancement of primary production in a model of the North Atlantic Ocean , 1998, Nature.

[28]  W. Gregg Tracking the SeaWiFS record with a coupled physical/biogeochemical/radiative model of the global oceans , 2001 .

[29]  T. Moisan,et al.  Modelling the effect of temperature on the maximum growth rates of phytoplankton populations , 2002 .

[30]  P. Gent,et al.  Parameterizing eddy-induced tracer transports in ocean circulation models , 1995 .

[31]  J. Toggweiler,et al.  Downward transport and fate of organic matter in the ocean: Simulations with a general circulation model , 1992 .

[32]  I. Gismervik,et al.  Feeding and reproduction by Calanus finmarchicus, and microzooplankton grazing during mesocosm blooms of diatoms and the coccolithophore Emiliania huxleyi , 1997 .

[33]  P. Gent,et al.  Isopycnal mixing in ocean circulation models , 1990 .

[34]  M. Spall,et al.  Specification of eddy transfer coefficients in coarse resolution ocean circulation models , 1997 .

[35]  T. Tyrrell,et al.  Importance of light for the formation of algal blooms by Emiliania huxleyi , 1996 .