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@ARTICLE{Spang:841591,
author = {Spang, Reinhold and Hoffmann, Lars and Müller, Rolf and
Grooß, Jens-Uwe and Tritscher, Ines and Höpfner, Michael
and Pitts, Michael and Orr, Andrew and Riese, Martin},
title = {{A} climatology of polar stratospheric cloud composition
between 2002 and 2012 based on {MIPAS}/{E}nvisat
observations},
journal = {Atmospheric chemistry and physics / Discussions},
volume = {898},
issn = {1680-7375},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2017-08629},
pages = {1 - 44},
year = {2017},
abstract = {The Michelson Interferometer for Passive Atmospheric
Sounding (MIPAS) instrument onboard the ESA Envisat
satellite operated from July 2002 until April 2012. The
infrared limb emission measurements provide a unique dataset
of day and night observations of polar stratospheric clouds
(PSCs) up to both poles. A recent classification method for
PSC types in IR limb spectra using spectral measurements in
different atmospheric window regions has been applied to the
complete mission period of MIPAS. The method uses a simple
probabilistic classifier based on Bayes' theorem with a
strong independence assumption on a combination of a
well-established two-colour ratio method and multiple 2D
probability density functions of brightness temperature
differences. The Bayesian classifier distinguishes between
solid particles of ice, nitric acid trihydrate (NAT), liquid
droplets of super-cooled ternary solution (STS) as well as
mixed types.A climatology of MIPAS PSC occurrence and
specific PSC classes has been compiled. Comparisons with
results from the classification scheme of the spaceborne
lidar Cloud-Aerosol Lidar with Orthogonal Polarization
(CALIOP) on the Cloud-Aerosol-Lidar and Infrared Pathfinder
Satellite Observations (CALIPSO) satellite show excellent
correspondence in the spatial and temporal evolution for the
area of PSC coverage (APSC) even for each PSC class.
Probability density functions of the PSC temperature,
retrieved for each class with respect to equilibrium
temperature of ice and based on coincident temperatures from
meteorological reanalyses, are in accordance with the
microphysical knowledge of the formation processes with
respect to temperature for all three PSC types.This paper
represents unprecedented pole-covering day and night time
climatology of the PSC distributions and their composition
of different particle types. The dataset allows analyses on
the temporal and spatial development of the PSC formation
process over multiple winters. At first view, a more general
comparison of APSC and AICE retrieved from the observations
and from the existence temperature for NAT and ice particles
based on ECMWF reanalysis temperature data show the high
potential of the climatology for the validation and
improvement of PSC schemes in chemical transport and
chemistry climate models.},
cin = {IEK-7},
ddc = {550},
cid = {I:(DE-Juel1)IEK-7-20101013},
pnm = {244 - Composition and dynamics of the upper troposphere and
middle atmosphere (POF3-244)},
pid = {G:(DE-HGF)POF3-244},
typ = {PUB:(DE-HGF)16},
doi = {10.5194/acp-2017-898},
url = {https://juser.fz-juelich.de/record/841591},
}