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Title

Inversion of In Situ Light Absorption and Attenuation Measurements to Estimate Constituent Concentrations in Optically Complex Shelf Seas

AuthorsRamírez-Pérez, Marta ; Twardowski, M.; Trees, C.; Piera, Jaume ; McKee, D.
Issue DateJan-2018
PublisherAmerican Geophysical Union
CitationJournal of Geophysical Research: Oceans 123(1): 720-737 (2018)
AbstractA deconvolution approach is presented to use spectral light absorption and attenuation data to estimate the concentration of the major nonwater compounds in complex shelf sea waters. The inversion procedure requires knowledge of local material-specific inherent optical properties (SIOPs) which are determined from natural samples using a bio-optical model that differentiates between Case I and Case II waters and uses least squares linear regression analysis to provide optimal SIOP values. A synthetic data set is used to demonstrate that the approach is fundamentally consistent and to test the sensitivity to injection of controlled levels of artificial noise into the input data. Self-consistency of the approach is further demonstrated by application to field data collected in the Ligurian Sea, with chlorophyll (Chl), the nonbiogenic component of total suspended solids (TSS), and colored dissolved organic material (CDOM) retrieved with RMSE of 0.61 mg m, 0.35 g m, and 0.02 m, respectively. The utility of the approach is finally demonstrated by application to depth profiles of in situ absorption and attenuation data resulting in profiles of optically significant constituents with associated error bar estimates. The advantages of this procedure lie in the simple input requirements, the avoidance of error amplification, full exploitation of the available spectral information from both absorption and attenuation channels, and the reasonably successful retrieval of constituent concentrations in an optically complex shelf sea
Description18 pages, 12 figures, 2 tables, supplementary data https://doi.org/10.1594/PANGAEA.880523
Publisher version (URL)https://doi.org/10.1002/2017JC013453
URIhttp://hdl.handle.net/10261/165304
Identifiersdoi: 10.1002/2017JC013453
issn: 2169-9291
e-issn: 2169-9291
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