Matches in SemOpenAlex for { <https://semopenalex.org/work/W3178380061> ?p ?o ?g. }
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- W3178380061 abstract "In this study, we identify a seasonal bias in the ocean color satellite-derived remote sensing reflectances ( <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> <mml:mo>;</mml:mo> <mml:mspace width=thickmathspace /> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msup> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>s</mml:mi> <mml:mi mathvariant=normal>r</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mo>−<!-- − --></mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> ) at the ocean color validation site, Marine Optical BuoY. The seasonal bias in <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> is present to varying degrees in all ocean color satellites examined, including the Visible Infrared Imaging Radiometer Suite, Sea-Viewing Wide Field-of-View Sensor, and Moderate Resolution Imaging Spectrometer. The relative bias in <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> has spectral dependence. Products derived from <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> are affected by the bias to varying degrees, with particulate backscattering varying up to 50% over a year, chlorophyll varying up to 25% over a year, and absorption from phytoplankton or dissolved material varying by up to 15%. The propagation of <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> bias into derived products is broadly confirmed on regional and global scales using Argo floats and data from the cloud-aerosol lidar with orthogonal polarization instrument aboard the cloud-aerosol lidar and infrared pathfinder satellite. The artifactual seasonality in ocean color is prominent in areas of low biomass (i.e., subtropical gyres) and is not easily discerned in areas of high biomass. While we have eliminated several candidates that could cause the biases in <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> , there are still outstanding questions regarding potential contributions from atmospheric corrections. Specifically, we provide evidence that the aquatic bidirectional reflectance distribution function may in part cause the observed seasonal bias, but this does not preclude an additional effect of the aerosol estimation. Our investigation highlights the contributions that atmospheric correction schemes can make in introducing biases in <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mspace width=thickmathspace /> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> , and we recommend more simulations to discern these influence <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>R</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>r</mml:mi> <mml:mi mathvariant=normal>s</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:mrow> <mml:mspace width=thickmathspace /> <mml:mo stretchy=false>(</mml:mo> <mml:mi>λ<!-- λ --></mml:mi> <mml:mo stretchy=false>)</mml:mo> </mml:math> biases. Community efforts are needed to find the root cause of the seasonal bias because all past, present, and future data are, or will be, affected until a solution is implemented." @default.
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- W3178380061 date "2021-08-09" @default.
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- W3178380061 title "Seasonal bias in global ocean color observations" @default.
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