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The project uses inverse modeling approach to
retrospectively analyze SeaWiFS and MODIS ocean color imagery in the
highly productive United States (U.S.) northeast
coastal ocean. Coastal ocean circulation hindcasts will be generated for
time periods in which ocean color images are available. Numerical method
will then be applied to invert for the phytoplankton dynamics that must
be occurring during the intervening period between two sequential color
images. The resulting representations of the physical and biological
properties will then be used for term-by-term diagnosis of the mechanisms
controlling these extremely complex coupled systems. In particular, the
modulation of growth rates through both light and nutrient effects and
various physically-controlled contributions to fluctuations in
phytoplankton biomass will be analyzed.
Results:
Cloud
free SST and Ocean Color OI Analysis
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