1. Optimization of a Semi- analytical Ocean Color Algorithm for Optically-Complex (Case II) Waters Tihomir Kostadinov 11.03.2003 15:17 Geog 200B, Dr. Clarke UCSB

2. Structure of Talk Introduction to Ocean Color Remote Sensing What are Case II waters? Why we care The GSM Semi-Analytical Algorithm Local Tuning

3. http://www.gamonline.com/catalog/colortheory/spectrum.gif What is Ocean Color?

4. SeaWiFS Daily Coverage http://seawifs.gsfc.nasa.gov/SEAWIFS/SEASTAR/seawifs_daily_coverage.mpeg

5. What are Case II Ocean Waters? Based on the relative contribution of each of three components to an optical property, for example a(440nm). This criterion is wavelength dependent. Excludes pure water contribution in classification. Bottom effect can have influence in optically shallow waters. Optical Property Phytoplankton (P) Yellow Substances (Y) Suspended Materials (S)

7. Why do we care?

8. Toole and Siegel 2001 1996-1999 (N = 251) Outliers indicate Sediments Mean and Std curves are not similar in shape, therefore Constituents’ concentrations vary independently.

9. The GSM Semi-Analytical Model

11. Local Tuning

12. Acknowledgements & References NASA UCSB Dr. David Siegel, ICESS, UCSB Gordon, H. R., O. B. Brown, R. H. Evans, J. W. Brown, R. C. Smith, K. S. Baker, and D. K. Clark, “A semianalytic radiance model of ocean color,” J. Geophys. Res. 93 D9, 10909–10924. 1988. Maritorena, S., D. Siegel, A. Peterson. "Optimization of a semi-analytical ocean color model for global-scale applications,” Applied Optics 41.15 (2002): 2705- 2714. "Remote Sensing of Ocean Colour in Coastal and Other Optically-Complex Waters." Reports of the International Ocean-Colour Coordinating Group Ed. Sathyendranath, Shubha 2000. Toole, Dierdre A. and Siegel, David A.. "Modes and mechanisms of ocean color variability in the Santa Barbara Channel." Journal of Geophysical Research 160.C11 (2001): 26985-27000.