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@ARTICLE{Heymsfield:838142,
author = {Heymsfield, Andrew and Krämer, Martina and Wood, Norman B.
and Gettelman, Andrew and Field, Paul R. and Liu, Guosheng},
title = {{D}ependence of the {I}ce {W}ater {C}ontent and {S}nowfall
{R}ate on {T}emperature, {G}lobally: {C}omparison of in
{S}itu {O}bservations, {S}atellite {A}ctive {R}emote
{S}ensing {R}etrievals, and {G}lobal {C}limate {M}odel
{S}imulations},
journal = {Journal of applied meteorology and climatology},
volume = {56},
number = {1},
issn = {1558-8432},
address = {Boston, Mass.},
publisher = {AMS},
reportid = {FZJ-2017-06846},
pages = {189 - 215},
year = {2017},
abstract = {Cloud ice microphysical properties measured or estimated
from in situ aircraft observations are compared with global
climate models and satellite active remote sensor
retrievals. Two large datasets, with direct measurements of
the ice water content (IWC) and encompassing data from polar
to tropical regions, are combined to yield a large database
of in situ measurements. The intention of this study is to
identify strengths and weaknesses of the various methods
used to derive ice cloud microphysical properties. The in
situ data are measured with total water hygrometers,
condensed water probes, and particle spectrometers. Data
from polar, midlatitude, and tropical locations are
included. The satellite data are retrieved from
CloudSat/CALIPSO [the CloudSat Ice Cloud Property Product
(2C-ICE) and 2C-SNOW-PROFILE] and Global Precipitation
Measurement (GPM) Level2A. Although the 2C-ICE retrieval is
for IWC, a method to use the IWC to get snowfall rates S is
developed. The GPM retrievals are for snowfall rate only.
Model results are derived using the Community Atmosphere
Model (CAM5) and the Met Office Unified Model [Global
Atmosphere 7 (GA7)]. The retrievals and model results are
related to the in situ observations using temperature and
are partitioned by geographical region. Specific variables
compared between the in situ observations, models, and
retrievals are the IWC and S. Satellite-retrieved IWCs are
reasonably close in value to the in situ observations,
whereas the models’ values are relatively low by
comparison. Differences between the in situ IWCs and those
from the other methods are compounded when S is considered,
leading to model snowfall rates that are considerably lower
than those derived from the in situ data. Anomalous trends
with temperature are noted in some instances.},
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:000393298900012},
doi = {10.1175/JAMC-D-16-0230.1},
url = {https://juser.fz-juelich.de/record/838142},
}