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Lab 9. Hydrolight and Ecolight. Q1. Imputing measured Chl (z) data. Different models gave us various Rrs. Percent cloud coverage impacts Ed. Kd (1/m). Cloud has no effects on Kd . At wavelength of 445nm and 555nm, Kd has a similar trend as Chl conc. . Depth (m).

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lab 9

Lab 9

Hydrolight and Ecolight

slide5

Kd(1/m)

  • Cloud has no effects on Kd.
  • At wavelength of 445nm and 555nm, Kd has a similar trend as Chl conc.

Depth (m)

slide6

Cloud coverage has no effect on Rrs.

  • But we had a outlier in our model output.
slide7

As cloud coverage increases, μd decreases.

  • Multiple scattering events cause μd to approach 0.5 with increasing depth.

μd

Depth(m)

slide10

Predicted vs. Measured Rrs

Reasonable, given that measurements were taken over a week long period (not ready to ask for my money back yet).

Captures the high absorption of CDOM in the blue, something not capture by the case 1 models.

q3 iop case 2 water model
Q3. IOP Case 2 water model
  • Influence of the mineral concentration on the Rrs
  • Rrsincreases with the mineral concentration
q3 iop case 2 water model1
Q3. IOP Case 2 water model
  • Influence of the mineral composition on the Rrs
q4 simulating optically shallow water
Q4. simulatingopticallyshallow water
  • Influence of the bottomreflectance on the Rrs
  • Bahamas - Coralsandbottom
  • HigherRrs for shallowerbottoms
slide15

Q5- hydrolight support user2 hypotheses: Problems caused by wrong backscatter number or data inputBackscatter changes don’t appear to help drop the hydrolight curveEditing out the anomalous data line appears to create the desired shape