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Exploring Modeling Effects on Chl and Rrs Data in Cloud-Covered Waters

Analyzing various models for imputing measured Chl data in the presence of cloud cover and their impact on Rrs. Observations include Kd trends driven by Chl concentration and cloud effects. Outliers detected in model output and the influence of cloud coverage on μd.

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Exploring Modeling Effects on Chl and Rrs Data in Cloud-Covered Waters

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Presentation Transcript

  1. Exercise 1:Imputing measured Chl(z) data

  2. Different models gave us various Rrs

  3. Percent cloud coverage impacts Ed.

  4. Kd, 1/m • Cloud has no effects on Kd. • At wavelength of 445nm and 555nm, Kd has a similar trend as Chl conc. (Chl drives Kd). Depth, m

  5. Cloud coverage has no effect on Rrs. • But we had a outlier in our model output.

  6. μd • As cloud coverage increases, μd decreases. • Multiple scatting events cause μd to approach 0.5 with increasing depth. Depth, m

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