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4 Conclusions and Outlook
Our study shows that although it was possible to estimate inelastic processes with the
DOAS method (Vountas et al.
1998
,
2003
,
2007
), it is dif
cult to use this approach
to retrieve CDOM
fluorescence from hyperspectral satellite data, mainly because of
dominant effects of other inelastic processes (RRS, VRS). However, our modeling
studies prove that for coastal areas, where VRS is weak,
fl
fluorescence of humic-like
CDOM is a significant source of filling-in. Hence, selection of waters with high
CDOM concentration should be further studied with satellite or airborne sensor
providing much smaller footprints, as well as the good choice of wavelength regions.
It is even more dif
fl
uorescence
for the amino acid-like components of DOM, which have excitation and emission in
UV-wavelengths. It is due to stronger RRS for shorter wavelengths, very low
electromagnetic radiation reaching the surface in the excitation wavelengths, and
similar effects in
cult to study the composition of CDOM and retrieve
fl
filling-in of
individual Fraunhofer lines, it could be possible to compare broader structures, as
filling-in of Fraunhofer lines. In addition to looking at
filling-in spectra of different CDOM components have spectra distinct from RRS and
VRS (Fig.
3
). However, due to various composition of CDOM worldwide, those
structures vary signi
cantly in time and space, and are not known a priori. Addi-
tional precise EEM measurements accompanied by correctly calculated molar
absorbance, quantum ef
ciency and concentration, are needed for improving the
modeling of CDOM
uorescence
features and an appropriate method to account for inelastic processes are as well
necessary for further investigating the retrieval of CDOM
fl
fluorescence. Combined use of narrow and broad
fl
fl
uorescence.
Acknowledgments Aleksandra Wolanin gratefully acknowledges
financial support provided by
the Earth System Science Research School (ESSReS), an initiative of the Helmholtz Association of
German Research Centres (HGF) at the Alfred Wegener Institute for Polar and Marine Research
(AWI) and HGF Innovative Network Fund (PHYTOOPTICS project). Authors thank DLR and
ESA for SCIAMACHY level-1 data. We also acknowledge the MODIS mission scientists and
associated NASA personnel for the production of the data used in this research effort. Analyses
and visualizations were produced with the Giovanni online data system, developed and maintained
by the NASA GES DISC. We also thank C. Stedmon and K. Carder for providing CDOM data and
their helpful comments throughout the development of this chapter.
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