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@ARTICLE{Sourdeval:857189,
author = {Sourdeval, Odran and Gryspeerdt, Edward and Krämer,
Martina and Goren, Tom and Delanoë, Julien and Afchine,
Armin and Hemmer, Friederike and Quaas, Johannes},
title = {{I}ce crystal number concentration estimates from
lidar–radar satellite remote sensing – {P}art 1:
{M}ethod and evaluation},
journal = {Atmospheric chemistry and physics},
volume = {18},
number = {19},
issn = {1680-7324},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2018-06426},
pages = {14327 - 14350},
year = {2018},
abstract = {The number concentration of cloud particles is a key
quantity for understanding aerosol–cloud interactions and
describing clouds in climate and numerical weather
prediction models. In contrast with recent advances for
liquid clouds, few observational constraints exist regarding
the ice crystal number concentration (Ni). This study
investigates how combined lidar–radar measurements can be
used to provide satellite estimates of Ni, using a
methodology that constrains moments of a parameterized
particle size distribution (PSD). The operational
liDAR–raDAR (DARDAR) product serves as an existing base
for this method, which focuses on ice clouds with
temperatures Tc < −30°C.Theoretical considerations
demonstrate the capability for accurate retrievals of Ni,
apart from a possible bias in the concentration in small
crystals when Tc≳ − 50°C, due to the assumption of
a monomodal PSD shape in the current method. This is
verified via a comparison of satellite estimates to
coincident in situ measurements, which additionally
demonstrates the sufficient sensitivity of lidar–radar
observations to Ni. Following these results, satellite
estimates of Ni are evaluated in the context of a case study
and a preliminary climatological analysis based on 10 years
of global data. Despite a lack of other large-scale
references, this evaluation shows a reasonable physical
consistency in Ni spatial distribution patterns. Notably,
increases in Ni are found towards cold temperatures and,
more significantly, in the presence of strong updrafts, such
as those related to convective or orographic uplifts.
Further evaluation and improvement of this method are
necessary, although these results already constitute a first
encouraging step towards large-scale observational
constraints for Ni. Part 2 of this series uses this new
dataset to examine the controls on Ni.},
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},
UT = {WOS:000446731000004},
doi = {10.5194/acp-18-14327-2018},
url = {https://juser.fz-juelich.de/record/857189},
}