Optical Oceanography Project
Introduction:
The first objective of this project was to characterize the
variability of colored dissolved organic matter (CDOM) in the Optical
Oceanography cruise data set. A second objective was to evaluate
instrument closure between the ac9 and the spectrophotometer for
measurement of CDOM absorption. The final objective was to evaluate the
bio-optical models of HYDROLIGHT for local waters.
Methods:
- CDOM absorption was measured by spectrophotometry for four depths
at nine stations. An average CDOM absorption coefficient (m-1)
at 400 nm and 440 nm was calculated for the water column at each station.
The slope coefficient (S) was calculated for all four depths for two
hydrocasts (BARNES 8/4/98-Strait of Juan de Fuca and 8/5/98-East Sound,
Orcas Island) and all surface samples by fitting an exponential curve to
the CDOM absorption data. CDOM absorption coefficients at 400 nm and
slope coefficients were plotted against salinity to discern any
correlation between CDOM and salinity.
- CDOM absorption data from the discrete water samples (referred to as
in situ) was compared with dissolved ac9 data from associated
instrument package casts. This was accomplished by biasing the ac9 curve
to the in situ curve at 676 nm. The in situ data was
previously corrected at 690 nm or above for temperature effects and 715 nm
could therefore not be used to bias the ac9 curve. This method may have
resulted in a slight underestimation of CDOM absorption measured by both
instruments. Slope coefficients were calculated for the ac9 data at the
same depths as the discrete water samples. The ac9 data was plotted
against the in situ data for regression analysis.
- Three bio-optical models in HYDROLIGHT 4.0 (Mobley, 1998) were
compared using cruise data from BARNES 8/4/98 for the Strait of Juan de
Fuca. The first model (referred to as HL Chl, from Morel, 1991 and Gordon
and Morel, 1983) was a Case 1 two-component model (pure water and
pigmented particles) that used the input chlorophyll profile to estimate a
and b. The second model (referred to as HL Chl + CDOM) was the same as
the first but had a third component for CDOM and used the input
chlorophyll profile and CDOM absorption coefficient at 440 nm and slope
coefficient averaged over the water column. The third model (referred to
as HL ac9) was actually direct input of ac9 data from which a and b were
calculated.
Results:
- The CDOM absorption coefficient at 400 nm varied from 0.22 to 0.36
m-1 with a mean of 0.29 m-1. The CDOM slope
coefficient varied from 0.013 to 0.020 with a mean of 0.014. Neither of
these two parameters showed significant variability with salinity over the
measured depths. The Strait of Juan de Fuca and Griffin Bay had the
lowest surface CDOM absorption coefficients at 400 nm, West Sound and
Parks Bay had the highest, and East Sound fell in between. An
interesting feature of CDOM slope coefficient v. salinity was that the
Strait showed a higher slope coefficient at the surface and East Sound
showed a higher slope coefficient at depth.
- The regression analysis of ac9 data plotted against in situ
data resulted in an R2 0f 0.68 for the Strait and 0.91 for East
Sound. Although it is based on only four data points per regression this
result was good considering the long storage time of the discrete water
samples prior to analysis.
- Comparisons of the bio-optical models in HYDROLIGHT 4.0 were as
expected for local (case 2) waters. The run with direct input of ac9 data
was considered correct for comparison purposes due to good correlation
with Rrs measured by Satlantic. The total absorption coefficients for the
first two models varied from the ac9 run at most by a factor of 2. The
total absorption coefficient calculated for the discrete water samples
between 400 and 500 nm varied from the second model by less than 0.04
(absolute magnitude). The backscattering coefficient for the first two
models varied from the ac9 run by factors of 2 to 3. Rrs for the first
two models varied from the ac9 run by factors of 3 to 11. Rrs was also
calculated with a and bb outputs by Rrs = 0.51(bb/a + bb). The calculated
Rrs was slightly lower than HYDROLIGHT 4.0 Rrs.
Conclusions:
- Variability in CDOM absorption coefficient and slope coefficient
did not appear to be a function of salinity in the cruise data set.
- Acceptable instrument closure between the ac9 and the
spectrophotometer was obtained for measurement of CDOM absorption in local
waters.
- The bio-optical models of HYDROLIGHT are not adequate for local waters
due to high absorption by CDOM and relatively low particulate
backscatter.
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