Development of Carbon Data Products for the Coastal Ocean using SeaWiFS and MODIS-Aqua
Antonio
Mannino, NASA GSFC, antonio.mannino@nasa.gov
(Presenting)
Mary
Elizabeth
Russ, UMBC-GEST/GSFC, mary.e.russ@neptune.gsfc.nasa.gov
Stanford
B.
Hooker, NASA GSFC, stanford.b.hooker@nasa.gov
In the coastal ocean, distributions of colored dissolved organic matter dissolved (DOC) and particulate organic carbon (POC) vary seasonally and interannually due to multiple inputs including primary production, terrigenous and estuarine organic matter, ocean advection and removal processes such as microbial remineralization, photooxidation, sinking, and advection. One objective was to apply our field measurements to develop algorithms to retrieve CDOM, DOC, and POC from MODIS and SeaWiFS satellite observations to study the processes that produce and remove organic matter in the coastal ocean. The CDOM absorption coefficient was correlated with in situ radiometry (reflectance band ratios) followed by correlation of DOC to reflectance ratios through the CDOM to DOC relationships. Our analyses have shown that DOC and CDOM can be retrieved from MODIS or SeaWiFS observations to within 15% and 25%, respectively. However, the relationships between DOC and CDOM vary seasonally and between regions requiring variable coefficients for each region (southern MAB, Hudson estuarine plume and Gulf of Maine). Because dissolved terrestrial organic matter (TOM) contributes much of the CDOM in coastal regions, it may be possible to retrieve distributions of TOM such as lignin phenols with SeaWiFS and MODIS through correlations of CDOM and lignin phenols. A preliminary dataset from the Mississippi River plume will be presented. We have also begun to apply the MODIS high resolution data processing modules in msl1,2 using the short-wave infrared (SWIR) bands for atmospheric corrections to evaluate whether we can improve retrievals of CDOM, DOC and POC in our study regions.
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