Our proposal encompasses two distinct areas of research; the development of new ocean color "tools" and the analysis and interpretation of a biogeochemic al - bio-optical time series in the Sargasso Sea. Each of these areas of research are continuations of NASA-supported work presently performed at UCSB. Briefly, our two proposed research areas are:
This proposal leverages on-going field work collected by the NASA SIMBIOS supported BBOP ocean color calibration/validation program as well as the NOAA-COP/ONR supported Plumes and Blooms field study of the Case II waters of the Santa Barbara Channel. The two broad areas of research will insure that we will keep our focus on the global ocean color problems while remembering that these "global solutions" must work on regional scales. Specifically, we will use a global optimization technique (i.e., simulated annealing) for determining the optimal model coefficients used in semi-analytical ocean color algorithms. By comparing the results derived from global and regional data sets, we can assess the global validity of common ocean color assumptions. We also may be able to make improvements in retrieval results by parameterizing regional differences in the retrieved model parameters. In this way, we will develop "optimal" ocean color products from SeaWiFS, OCTS, etc. Using the BBOP data set, our goals are to develop new methods by which biologically and biogeochemically relevant rates may be determined from space-sensed variables and to apply these methods to satellite data for addressing these fluxes throughout the Sargasso Sea. It is our opinion, substantial progress in the application of satellite technology to ocean biology and biogeochemical processes requires the development and application of a new generation of ocean color tools.
Siegel, D., Nelson, N., Maritorena, S. (2001) Global monthly colored dissolved and detrital material analysis from SeaWiFS chlorophyll observations, 1997-2000 (U.S. JGOFS Synthesis & Modeling Phase project results). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 7 November 2001) Version Date 2001-11-07 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3171 [access date]
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