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E d ( ) L u ( ) c = a + b b tot = b f + b b IOP- Inherent optical property eg. absorption (a), scattering (b), attenuation (c) AOP- Apparent optical property.

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Presentation on theme: "E d ( ) L u ( ) c = a + b b tot = b f + b b IOP- Inherent optical property eg. absorption (a), scattering (b), attenuation (c) AOP- Apparent optical property."— Presentation transcript:

1 E d ( ) L u ( ) c = a + b b tot = b f + b b IOP- Inherent optical property eg. absorption (a), scattering (b), attenuation (c) AOP- Apparent optical property eg. irradiance (E), radiance (L) IOP- Inherent optical property eg. absorption (a), scattering (b), attenuation (c) AOP- Apparent optical property eg. irradiance (E), radiance (L) a tot = a w + a ph + a d + a CDOM R rs = g b a + b b = LuEdLuEd remote sensing reflectance b bfbf Fluor a CDOM a ph adad awaw Optics Primer

2 Underway Data R/V John Martin, operated by MLML Underway pumped seawater system GPS, True wind speed/direction, Heading/Speed SeaBird TSG-45 (T,S) Turner Designs SCUFA fluorometer/side-scatter 1)Primary geophysical parameters: T, S, Fluorescence, “turbidity”, wind vector 4)Corrections: data filtered for outliers 5)Objective Constraints: upper/lower limit filters applied 6)Subjective Constraints: sanity check (visual inspection of data) 7)Lab Characterization: ~Annual calibration of instruments 8)Field Characterization: instruments flushed with DI, checked for fouling 9)Uncertainty: -Calibrations not always maintained -SCUFA not regularly cleaned or calibrated -Time lag between hull and sensor -Thermal heating of water between hull and sensor -Depth dependent on speed of the boat

3 Other Data Discrete (bottle) nutrients, fluorometric chlorophyll, HPLC pigments CDOM (10 cm path and/or 100 cm path) Filterpad absorption Phytoplankton enumeration Flow Cytometry (picoeukaryotes, Synechococcus, heterotrophic bacteria) TSS (not all the time—only when requested) CTD cast (SBE-19+v2) Toxin samples


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