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L wN ( ) Uncertainty Estimation Using Hyperspectral GSM Assume a GSM trio (Chl, CDM & BBP) and associate uncertainty level Drive hyperspectral GSM forward.

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Presentation on theme: "L wN ( ) Uncertainty Estimation Using Hyperspectral GSM Assume a GSM trio (Chl, CDM & BBP) and associate uncertainty level Drive hyperspectral GSM forward."— Presentation transcript:

1 L wN ( ) Uncertainty Estimation Using Hyperspectral GSM Assume a GSM trio (Chl, CDM & BBP) and associate uncertainty level Drive hyperspectral GSM forward to calculate ensemble of L wN ( ) values Calculate L wN ( ) & its uncertainty bounds Sample using the ACE bandset Siegel/Maritorena (UCSB)

2 L wN ( ) = f(Chl,CDM,BBP; ) a cdm ( ) = CDM exp(-S ( -440)) - S tuned to global LwN data set a ph ( ) = A( ) Chl B( ) - following Bricaud model but tuned to global LwN data set b bb ( ) = BBP (440/ )  -  tuned to … a w ( ) => Follows Morel’s clearest waters b bw ( ) => Buiteveld 94 (S=36; T=12C) F o ( ) => Thuillier IOPs => R rs ( ) following Gordon et al 88 1 nm resolution

3 a ph ( ) = A( ) Chl B( ) A( )B( ) Wavelength (nm)

4 Global Mean GSM Trio # realizations =100 - assumes 25% uncertainty in GSM trio

5 NABE Bloom GSM Trio # realizations =100 - assumes 25% uncertainty in GSM trio

6 Plumes & Blooms GSM Trio # realizations =100 - assumes 25% uncertaint7 in GSM trio

7 Sampling of the ACE Bandset

8 Next Steps? Reassess uncertainty goals - we stated 25% for each GSM output (?) Widen set of GSM triplets using field observations (probably NOMAD2) Propagate to TOA to determine bounds on L sat ( ) Build into full inversion model to test approach end to end


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