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Estimation of in situ UV penetration

Estimation of in situ UV penetration. GOAL: use a global database of measured K d (UV ) and R rs () coupled with GSM01 retrievals to develop a model for in situ K d (UV) Modeling results as of 7-17-2004 (DV). The model itself.

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Estimation of in situ UV penetration

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  1. Estimation of in situ UV penetration GOAL: use a global database of measured Kd(UV) and Rrs() coupled with GSM01 retrievals to develop a model for in situKd(UV) Modeling results as of 7-17-2004 (DV)

  2. The model itself... Kmodel() = Kw() + CCexp(-S(-443)) + aph*GSM01_chl + GSM01_bbp(/443)-1 Kw from Morel & Maritorena (2001) (Kw(320)= 0.0340; Kw(340) = 0.0281; Kw(380)=0.0161; Kw(412) = 0.0079) CC  w0*GSM01_acdm + w1*GSM01_acdm2 S  S0 + S1*(GSM01_acdm + GSM01_acdm2) ** solve for w0 w1 S0 S1 aph* using global Kd data set ** Measured Rrs() (5 SeaWiFS ) GSM01 Modeled: acdm(443), [chl], bbp(443)

  3. Restricted data set (chla < 1.5 mg / m3) PROJECT n < 1.5 % of original PnB 109 66.1 EPIC 112 100 CDOM 7 100 Sulfur 18 100 BBOP 87 100 ACE Asia 36 92.3 AMLR 56 96.6 CalCOFI 159 90.8 Indoex 14 100 JGOFS 37 77.1 Japan Sea 26 100

  4. The overall model fit chla < 1.5:

  5. The overall model fit (all data): Large bias marked with an ‘x’

  6. By wavelength:

  7. Example, 340 nm:

  8. Example, 380 nm:

  9. The retrieved parameters: S0 = 0.0133 / S1 = -0.0598 / w0 = 2.2158 / w1 = -3.9872 / aph* = 0.009145

  10. Relative contribution by term

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