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@ARTICLE{Martynenko:12237,
author = {Martynenko, D. and Holzer-Popp, T. and Elbern, H. and
Schroedter-Homscheidt, M.},
title = {{U}nderstanding the aerosol information content in
multi-spectral reflectance measurements using a synergetic
retrieval algorithm},
journal = {Atmospheric measurement techniques},
volume = {3},
issn = {1867-1381},
address = {Katlenburg-Lindau},
publisher = {Copernicus},
reportid = {PreJuSER-12237},
pages = {1589 - 1598},
year = {2010},
note = {This work was supported by German Aerospace Center. Thanks
are especially given to Thomas Holzer-Popp.},
abstract = {An information content analysis for multi-wavelength
SYNergetic AErosol Retrieval algorithm SYNAER was performed
to quantify the number of independent pieces of information
that can be retrieved. In particular, the capability of
SYNAER to discern various aerosol types is assessed. This
information content depends on the aerosol optical depth,
the surface albedo spectrum and the observation geometry.
The theoretical analysis is performed for a large number of
scenarios with various geometries and surface albedo spectra
for ocean, soil and vegetation. When the surface albedo
spectrum and its accuracy is known under cloud-free
conditions, reflectance measurements used in SYNAER is able
to provide for 2-4 degrees of freedom that can be attributed
to retrieval parameters: aerosol optical depth, aerosol type
and surface albedo.The focus of this work is placed on an
information content analysis with emphasis to the aerosol
type classification. This analysis is applied to synthetic
reflectance measurements for 40 predefined aerosol mixtures
of different basic components, given by sea salt, mineral
dust, biomass burning and diesel aerosols, water soluble and
water insoluble aerosols. The range of aerosol parameters
considered through the 40 mixtures covers the natural
variability of tropospheric aerosols. After the information
content analysis performed in Holzer-Popp et al. (2008)
there was a necessity to compare derived degrees of freedom
with retrieved aerosol optical depth for different aerosol
types, which is the main focus of this paper.The principle
component analysis was used to determine the correspondence
between degrees of freedom for signal in the retrieval and
derived aerosol types. The main results of the analysis
indicate correspondence between the major groups of the
aerosol types, which are: water soluble aerosol, soot,
mineral dust and sea salt and degrees of freedom in the
algorithm and show the ability of the SYNAER to discern
between this aerosol types.The results of the work will be
further used for the development of the promising
methodology of the construction error covariance matrices in
the assimilation system.},
keywords = {J (WoSType)},
cin = {IEK-8},
ddc = {550},
cid = {I:(DE-Juel1)IEK-8-20101013},
pnm = {Atmosphäre und Klima},
pid = {G:(DE-Juel1)FUEK406},
shelfmark = {Meteorology $\&$ Atmospheric Sciences},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000285573200008},
doi = {10.5194/amt-3-1589-2010},
url = {https://juser.fz-juelich.de/record/12237},
}