Saba, V. S., Virginia Institute of Marine S, Gloucester Point, VA, USA, vssaba@vims.edu
Friedrichs, M. A., Virginia Institute of Marine Science, Gloucester Point, VA, USA, marjy@vims.edu
Carr, M. ., Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA, carr@jpl.nasa.gov

ESTIMATING OCEANIC PRIMARY PRODUCTIVITY: AN EVALUATION OF OCEAN COLOR ALGORITHMS AND GENERAL CIRCULATION MODELS

Modeling oceanic primary productivity (PP) is crucial for biogeochemical studies, especially in order to better understand the carbon cycle on a global scale. We have expanded the PP Algorithm Round-Robin (PPARR) project into its fourth exercise by quantifying the skill of ~20 models (including both ocean color algorithms and biogeochemical general circulation models) in reproducing in situ PP data from various regions across the globe. Target and Taylor diagrams, cumulative distribution functions and other statistical approaches were used to compare model performance in both open-ocean and coastal regions. Estimates of PP in the Sargasso Sea show that ocean color-based model skill was most sensitive to surface chlorophyll concentration followed by sea surface temperature and mixed layer depth. In the equatorial Pacific, skill in estimating PP was most sensitive to year such that models performed significantly better in the 1990's than in the 1980's. This was likely due to a regime shift around 1990 through Pacific multidecadal climate variability. Similar to prior PPARR results that compared global satellite-derived PP, model error was highest at low surface chlorophyll values.

Poster presentation

Presentation is given by student: No
Session #:116
Date: 03-05-2008
Time: 17:30 - 19:30

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