The Columbia River plume (CRP) is an ecologically important source of nutrients, pollutants, and fresh water to the Oregon/Washington shelf. It is traditionally under-sampled, with observations constrained to ships or moorings. High-spatial- and temporal-resolution observations afforded by satellites would increase sampling if the plume could be quantitatively detected in the imagery. Two empirical algorithms are presented using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to estimate sea surface salinity in the region of CRP. Salinity cannot be detected directly, so a proxy for fresh, water is employed. Light absorption, by chromophoric dissolved organic matter ( aCDOM) is inversely proportional to salinity and linear because of conservative mixing of CDOM-rich terrestrial runoff with surrounding ocean water. To estimate synthetic salinity, simple linear (salinity versus aCDOM) and multiple linear (salinity and temperature versus aCDOM) algorithms were developed from in situ measurements of aCDOM collected on the Coastal Ocean Processes-River Influences on Shelf Ecosystems cruises. These algorithms were applied to MODIS 250 m resolution data layers of sea surface temperature and absorption by colored dissolved and detrital matter (aCDM) estimated at 350 nm and 412 nm from the Garver-Siegel-Maritorena model version 1 algorithm. Validation of MODIS-derived synthetic salinity with coincident in situ measurements revealed significant correlation during both downwelling (simple, β1 = 0.95 and r2 = 0.89; multiple, β1 = 0.92 and r 2 = 0.89) and upwelling periods (simple, β1 = 1.26 and r2 = 0.85; multiple, β1 = 1.10 and r2 = 0.87) using the 412 nm data layer. Synthetic salinity estimated using the 350 nm data layer consistently overestimated salinity. These algorithms, when applied to aCDM at 412 nm, enable synoptic observations of CRP not permitted by ships or moorings alone.
ASJC Scopus subject areas
- Geochemistry and Petrology
- Earth and Planetary Sciences (miscellaneous)
- Space and Planetary Science