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Euphotic zone depth: Its derivation and implication to ocean-color remote sensing Público Deposited

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https://ir.library.oregonstate.edu/concern/articles/3484zj47s

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Abstract
  • Euphotic zone depth, z[subscript]1%, reflects the depth where photosynthetic available radiation (PAR) is 1% of its surface value. The value of z[subscript]1% is a measure of water clarity, which is an important parameter regarding ecosystems. Based on the Case-1 water assumption, z[subscript]1% can be estimated empirically from the remotely derived concentration of chlorophyll-a ([Chl]), commonly retrieved by employing band ratios of remote sensing reflectance (R[subscript]rs). Recently, a model based on water’s inherent optical properties (IOPs) has been developed to describe the vertical attenuation of visible solar radiation. Since IOPs can be nearanalytically calculated from R[subscript]rs, so too can z[subscript]1%. In this study, for measurements made over three different regions and at different seasons (z[subscript]1% were in a range of 4.3–82.0 m with [Chl] ranging from 0.07 to 49.4 mg/m³), z[subscript]1% calculated from R[subscript]rs was compared with z[subscript]1% from in situ measured PAR profiles. It is found that the z[subscript]1% values calculated via R[supscript]rs-derived IOPs are, on average, within ~14% of the measured values, and similar results were obtained for depths of 10% and 50% of surface PAR. In comparison, however, the error was ~ 33% when z[subscript]1% is calculated via R[subscript]rs-derived [Chl]. Further, the importance of deriving euphotic zone depth from satellite ocean-color remote sensing is discussed.
  • This is the publisher's version of record. The original submission is copyrighted by American Geophysical Union and can be found here: http://www.agu.org/
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  • Lee, Z., A. Weidemann, J. Kindle, R. Arnone, K. L. Carder, and C. Davis (2007), Euphotic zone depth: Its derivation and implication to ocean-color remote sensing, Journal of Geophysical Research, 112, C03009, doi:10.1029/2006JC003802.
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  • 112
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  • C03009
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  • Financial support was provided by NASA through grant NNH06AE55I, and NRL through the 6.1 project ‘‘Physical-Biological-Optical Modeling of the Coastal Environment’’ funded by the Office of Naval Research under Program Element 61153N and 6.2 Project ‘‘Tactical UAV hyperspectral imagery for riverine special operations’’ under Program Element 0602435N. Funding was also provided to USF through ONR contract N00014-02-1-0211 and NASA grant NNG04GL55G.
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