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Publication Citation
Chae, J. H.,
et al.
(2011),
The role of tropical deep convective clouds on temperature, water vapor, and dehydration in the tropical tropopause layer (TTL)
,
Atmos. Chem. Phys., 11
, 3811-3821, doi:10.5194/acp-11-3811-2011.
Chakraborty, S.,
et al.
(2016),
Relative influence of meteorological conditions and aerosols on the lifetime of mesoscale convective systems
,
Proc. Natl. Acad. Sci.
, 7426-7431, doi:10.1073/pnas.1601935113.
Chan, M. A., and J. C. Comiso (2011),
Cloud features detected by MODIS but not by CloudSat and CALIOP
,
Geophys. Res. Lett., 38
, L24813, doi:10.1029/2011GL050063.
Chan, M. A., and J. C. Comiso (2013),
Arctic Cloud Characteristics as Derived from MODIS, CALIPSO, and CloudSat
,
J. Climate, 26
, 3285-3306, doi:10.1175/JCLI-D-12-00204.1.
Chang, F.-L.,
et al.
(2010),
Comparisons of passive satellite-deduced overlapping cloud properties and CALIPSO/CloudSat data
,
EOS Trans AGU, 91
, 22-25.
Chen, A.
,
et al.
(2009),
Visualization of A-Train vertical profiles using Google Earth
,
Computers & Geosciences, 35
, 419-427, doi:10.1016/j.cageo.2008.08.006.
Chen, R.,
et al.
(2007),
Impact of the Vertical Variation of Cloud Droplet Size on the Estimation of Cloud Liquid Water Path and Rain Detection
,
J. Atmos. Sci., 64
, 3843-3853, doi:10.1175/2007JAS2126.1.
Chen, R.,
et al.
(2008),
Studying the vertical variation of cloud droplet effective radius using ship and space-borne remote sensing data
,
J. Geophys. Res., 113
, D00A02, doi:10.1029/2007JD009596.
Chen, R.,
et al.
(2011),
A study of warm rain detection using A‐Train satellite data
,
Geophys. Res. Lett., 38
, L04804, doi:10.1029/2010GL046217.
Chen, S.,
et al.
(2016),
Comparison of Snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/ NSSL Multi-Radar Multi-Sensor System
,
Journal of Hydrology
, doi:10.1016/j.jhydrol.2016.07.047.
Chen, W.
,
et al.
(2010),
Global climate response to anthropogenic aerosol indirect effects: Present day and year 2100
,
J. Geophys. Res., 115
, D12207, doi:10.1029/2008JD011619.
Chen, W.,
et al.
(2011),
Partitioning CloudSat ice water content for comparison with upper tropospheric ice in global atmospheric models
,
J. Geophys. Res., 116
, D19206, doi:10.1029/2010JD015179.
Chen, Y.,
et al.
(2008),
Validation of the Community Radiative Transfer Model by using CloudSat data
,
J. Geophys. Res., 113
, D00A03, doi:10.1029/2007JD009561.
Chen, Y.,
et al.
(2014),
Satellite-based estimate of global aerosol–cloud radiative forcing by marine warm clouds
,
Nature Geoscience, 7
, 643-646, doi:10.1038/NGEO2214.
Chern, J.
,
et al.
(2016),
Performance of the Goddard multiscale modeling framework with Goddard ice microphysical schemes
,
J. Adv. Modeling Earth Syst., 8
, 66-95, doi:10.1002/2015MS000469.
Chosson, F.,
et al.
(2014),
Adapting Two-Moment Microphysics Schemes across Model Resolutions: Subgrid Cloud and Precipitation Fraction and Microphysical Sub–Time Step
,
J. Atmos. Sci., 71
, 2635-2653, doi:10.1175/JAS-D-13-0367.1.
Christensen, M. W., and G. L. Stephens (2011),
Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships: Evidence of cloud deepening
,
J. Geophys. Res., 116
, D03201, doi:10.1029/2010JD014638.
Christensen, M. W.,
et al.
(2013),
Radiative Impacts of Free-Tropospheric Clouds on the Properties of Marine Stratocumulus
,
J. Atmos. Sci., 70
, 3102-3118, doi:10.1175/JAS-D-12-0287.1.
Christensen, M. W.,
et al.
(2014),
Ship track observations of a reduced shortwave aerosol indirect effect in mixed-phase clouds
,
Geophys. Res. Lett., 41
, 6970-6977, doi:10.1002/2014GL061320.
Christensen, M. W.,
et al.
(2016),
Datasets: Arctic Observation and Reanalysis Integrated System A New Data Product for Validation and Climate Study
,
Bull. Am. Meteorol. Soc.
, 907-915, doi:10.1175/BAMS-D-14-00273.1.
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