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Funded Research

Primary Production and Net Community Production in the Southern Ocean: Integrating Results from Modeling, Remote Sensing, and Extensive Recent Observations

Bender, Michael: Princeton University (Project Lead)

Project Funding: 2007 - 2010

NRA: 2006 NASA: Ocean Biology and Biogeochemistry   

Funded by NASA

Abstract:
Recent measurements of O2/Ar ratios and the triple isotope composition of O2 in the Southern Ocean mixed layer have given extensive new information about rates of net community production (NCP) and gross primary production (GPP) at the basic ecosystem response times of about a week. As well, observations of the annual cycle of atmospheric O2/N2 constrain upper ocean carbon fluxes on the seasonal timescale. We propose to examine these data in the context of remote sensing products and 1-D and 3-D ocean biogeochemistry GCM's. This work will advance our understanding of the factors controlling the fertility of Southern Ocean waters, the ability of complex models to simulate carbon fluxes in these waters, and the ability to scale local observations using satellite observations. Our proposal centers around the following objectives: (a) Examining the response of observed NCP and GPP to recent aerosol iron input, local iron concentrations, mixed layer SiO2, temperature and depth, and recent disturbance of the mixed layer, as derived from models. This work will inform us about the role of disturbance and iron, SiO2, and light limitation in governing upper ocean carbon fluxes. (b) Examining the relationship of observed NCP and GPP with satellite fields, including chlorophyll, primary production, and emerging products such as biomass, particle concentration, phytoplankton growth rate, and community structure. This work will enhance our ability to scale local observations over open ocean waters of the Southern Ocean. (c) Testing two leading ocean biogeochemistry GCM's (GFDL and NCAR) against a large new database of field rate estimates, thereby extending present model evaluations that are based primarily on comparisons with inventories (for example, chlorophyll and nutrient concentrations). This work will clarify limitations of present models and show how they can be improved.


More details may be found in the following project profile(s):