Da. Siegel et Af. Michaels, QUANTIFICATION OF NON-ALGAL LIGHT ATTENUATION IN THE SARGASSO SEA - IMPLICATIONS FOR BIOGEOCHEMISTRY AND REMOTE-SENSING, Deep-sea research. Part 2. Topical studies in oceanography, 43(2-3), 1996, pp. 321-345
Observations of the diffuse attenuation coefficient spectrum (K-d(z,t,
lambda)), made as part of the U.S. Joint Global Ocean Flux Study (JGOF
S), Bermuda Atlantic Time-series Study (BATS), show significant season
al variations that do not covary with the patterns in chlorophyll a co
ncentrations. The spectral structure of these changes indicates that t
he variations in optical properties are caused by detrital particulate
and/or colored dissolved organic materials. Multiple regression analy
ses over wavelength are used to deconvolve this ''colored dissolved or
detrital material'' (CDM) signal from the chlorophyll signal. General
ly, CDM light attenuation is nearly as large as the chlorophyll-relate
d attenuation and it exhibits a seasonal signal related to changes in
mixed-layer depth. In the winter, values of CDM are roughly uniform th
roughout the upper 150 m of the mixed layer, whereas in the summer sig
nificantly reduced CDM values are found in a shallow mixed layer with
elevated values in the seasonal pycnocline. The summer-time pattern ap
pears to be caused by the combination of reduction of CDM within the m
ixed layer by photo-oxidation and its production at depth. This season
al cycle is different than that observed for dissolved organic or part
iculate organic carbon at BATS. Hence, optical inferences of CDM are n
ot directly related to biogeochemically relevant materials, such as di
ssolved organic carbon. Quantification of the photon flux absorbed by
CDM can be used to assess the role of CDM quanta absorption in photoch
emical transformations. We suggest that CDM-regulated rates of photo-o
xidation play a critical role in the regulation of near-surface dimeth
yl sulfide concentrations on a seasonal timescale. Last, the existence
of a strong CDM signal requires modification of the techniques used t
o estimate chlorophyll from satellite ocean color sensors. Copyright (
C) 1996 Elsevier Science Ltd