The four phytoplankton groups were initialized as homogeneous and equal distributions throughout the model domain. The global mean difference was 3.9% (model higher than SeaWiFS). Inadequate scavenging and excessive remineralization and/or regeneration were possible reasons for the overestimation.īasin scale model chlorophyll seasonal distributions were positively correlated with SeaWiFS chlorophyll in each of the 12 oceanographic basins ( P<0.05).
The model tended to overestimate in situ observations, except in the Antarctic where a large underestimate occurred. Biogeochemical processes in the model were determined from the influences of circulation and turbulence dynamics, irradiance availability, and the interactions among four phytoplankton functional groups (diatoms, chlorophytes, cyanobacteria, and coccolithophores) and four nutrients (nitrate, ammonium, silica, and dissolved iron).Īnnual mean log-transformed dissolved iron concentrations in the model were statistically positively correlated on basin scale with observations ( P <0.05) over the eight (out of 12) major oceanographic basins where data were available. A coupled three-dimensional general circulation, biogeochemical, and radiative model of the global oceans was validated using these in situ data sources and satellite data sets. The JGOFS program and NASA ocean-color satellites have provided a wealth of data that can be used to test and validate models of ocean biogeochemistry.
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