Acronym: OCB-012
Program: Ocean Carbon & Biogeochemistry [OCB]
Url: Project Web Site
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Geolocation: Global
Description:

The overall goal of this study is to determine how best to use NASA remote-sensing observations to quantify and enable prediction of primary productivity using a threedimensional biogeochemical ocean general circulation model (BOGCM). The variational adjoint method of data assimilation provides a particularly useful tool for biogeochemical modeling, as it not only yields optimized parameter values, but also provides uncertainties associated with these values. This method will be applied to an existing BOGCM in order to obtain estimates of the temporal and spatial variability of primary productivity and new production. The assimilation of MODIS data will ensure that these fluxes will be consistent with remote-sensing ocean color observations and leverage these observations to provide critical information about ocean biogeochemical processes. Preliminary one-dimensional assimilation experiments conducted across the globe will provide us with important information as to how optimized parameter values, required for the estimation of primary production, vary spatially across ocean basins. Identical twin experiments will be conducted with the 3-D data assimilative BOGCM in order to quantitatively evaluate the sensitivity of the biological pump to data availability, and thus determine what additional observations will be required in order to make realistic predictive marine ecosystem models feasible. Through the assimilation of actual remote-sensing data, the predictive ability of our modeled fluxes can be assessed quantitatively. In addition, we will quantitatively determine how uncertainties in precipitation, wind, solar radiation, and iron deposition propagate through to uncertainties in the optimized parameter values and ultimately to our estimates of primary productivity.

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More information about project Primary Productivity Analysis and Predictions from an Assimilative Biogeochemical Ocean General Circulation Model
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