Abstract
Time-series of marine inherent optical properties (IOPs) from ocean color satellite instruments provide valuable data records for studying long-term time changes in ocean ecosystems. Semi-analytical algorithms (SAAs) provide a common method for estimating IOPs from radiometric measurements of the marine light field. Most SAAs assign constant spectral values for seawater absorption and backscattering, assume spectral shape functions of the remaining constituent absorption and scattering components (e.g., phytoplankton, non-algal particles, and colored dissolved organic matter), and retrieve the magnitudes of each remaining constituent required to match the spectral distribution of measured radiances. Here, we explore the use of temperature- and salinity-dependent values for seawater backscattering in lieu of the constant spectrum currently employed by most SAAs. Our results suggest that use of temperature- and salinity-dependent seawater spectra elevate the SAA-derived particle backscattering, reduce the non-algal particles plus colored dissolved organic matter absorption, and leave the derived absorption by phytoplankton unchanged.
Highlights
Satellite ocean color instruments provide consistent and high-density data records at sufficient temporal and spatial scales to allow retrospective analysis of long-term oceanographic trends
Our results suggest that use of temperature- and salinity-dependent seawater spectra elevate the Semi-analytical algorithms (SAAs)-derived particle backscattering, reduce the non-algal particles plus colored dissolved organic matter absorption, and leave the derived absorption by phytoplankton unchanged
GIOP-C and GIOPTS yielded similar spectral dependence in the regression slopes for adg(λ)
Summary
Satellite ocean color instruments provide consistent and high-density data records at sufficient temporal and spatial scales to allow retrospective analysis of long-term oceanographic trends. Satellite ocean color instruments measure the spectral radiance emanating from the top of the atmosphere at discrete visible and infrared wavelengths. Bio-optical algorithms are applied to the Rrs(λ) to produce estimates of additional geophysical properties, such as spectral marine inherent optical properties (IOPs), namely the absorption and scattering properties of seawater and its particulate and dissolved constituents [3,4]. Time-series of these geophysical properties provide unparalleled resources for studying carbon stocks, phytoplankton population diversity and succession, and ecosystem responses to climatic disturbances on regional to global scales (e.g., [5,6,7,8])
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