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> Publications for CloudSat
Publication Citation
Sassen, K.
, and
Z. Wang
(2008),
Classifying clouds around the globe with the CloudSat radar: 1-year of results
,
Geophys. Res. Lett., 35
, L04805, doi:10.1029/2007GL032591.
Sassen, K.
, and
Z. Wang
(2012),
The Clouds of the Middle Troposphere: Composition,Radiative Impact, and Global Distribution
,
Surv. Geophys., 33
, 677-691, doi:10.1007/s10712-011-9163-x.
Sassen, K.
,
S. Matrosov
, and J. Campbell (2007),
CloudSat spaceborne 94 GHz radar bright bands in the melting layer: An attenuation-driven upside-down lidar analog
,
Geophys. Res. Lett., 34
, L16818, doi:10.1029/2007GL030291.
Sassen, K.
,
Z. Wang
, and D. Liu (2008),
Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements
,
J. Geophys. Res., 113
, D00A12, doi:10.1029/2008JD009972.
Sassen, K.
,
Z. Wang
, and D. Liu (2009),
Cirrus clouds and deep convection in the tropics: Insights from CALIPSO and CloudSat
,
J. Geophys. Res., 114
, D00H06, doi:10.1029/2009JD011916.
Sato, K., and
H. Okamoto
(2006),
Characterization of Ze and LDR of nonspherical and inhomogeneous ice particles for 95-GHz cloud radar: Its implication to microphysical retrievals
,
J. Geophys. Res., 111
, D22213, doi:10.1029/2005JD006959.
Sato, K., and
H. Okamoto
(2011),
Refinement of global ice microphysics using spaceborne active sensors
,
J. Geophys. Res., 116
, D20202, doi:10.1029/2011JD015885.
Sato, K.,
et al.
(2009),
95-GHz Doppler radar and lidar synergy for simultaneous ice microphysics and in-cloud vertical air motion retrieval
,
J. Geophys. Res., 114
, D03203, doi:10.1029/2008JD010222.
Sato, K.,
et al.
(2010),
Characterization of ice cloud properties obtained by shipborne radar/lidar over the tropical western Pacific Ocean for evaluation of an atmospheric general circulation model
,
J. Geophys. Res., 115
, D15203, doi:10.1029/2009JD012944.
Satoh, M.,
et al.
(2012),
Response of Upper Clouds in Global Warming Experiments Obtained Using a Global Nonhydrostatic Model with Explicit Cloud Processes
,
J. Climate, 25
, 2178-2191, doi:10.1175/JCLI-D-11-00152.1.
Satoh, M., T. Inoue, and H. Miura (2010),
Evaluations of cloud properties of global and local cloud system resolving models using CALIPSO and CloudSat simulators
,
J. Geophys. Res., 115
, D00H14, doi:10.1029/2009JD012247.
Savtchenko, A. (2009),
Deep convection and upper-tropospheric humidity: A look from the A-Train
,
Geophys. Res. Lett., 36
, L06814, doi:10.1029/2009GL037508.
Savtchenko, A.,
et al.
(2008),
A-Train Data Depot: Bringing Atmospheric Measurements Together
,
IEEE Trans. Geosci. Remote Sens., 46
, 2788-2795, doi:10.1109/TGRS.2008.917600.
Schmidt, G. A.
,
et al.
(2014),
Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive
,
J. Adv. Modeling Earth Syst., 6
, 141-184, doi:10.1002/2013MS000265.
Schubert, W. H., and
B. McNoldy
(2016),
Application of the Concepts of Rossby Length and Rossby Depth to Tropical Cyclone Dynamics
,
J. Adv. Modeling Earth Syst.
.
Schumacher, C.
(2011),
Thick Anvils as Viewed by the TRMM Precipitation Radar WEI LI Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania
,
J. Climate, 24
, 1718-1735, doi:10.1175/2010JCLI3793.1.
Schwartz, M. C., and G. G. Mace (2010),
Co‐occurrence statistics of tropical tropopause layer cirrus with lower cloud layers as derived from CloudSat and CALIPSO data
,
J. Geophys. Res., 115
, D20215, doi:10.1029/2009JD012778.
Seiki, T.,
et al.
(2015),
Vertical grid spacing necessary for simulating tropical cirrus clouds with a high-resolution atmospheric general circulation model
,
Geophys. Res. Lett., 42
, 4150-4157, doi:10.1002/2015GL064282.
Serrano, D.,
et al.
(2014),
Effective cloud optical depth for overcast conditions determined with a UV radiometers
,
Int. J. Climatol., 34
, 3939-3952, doi:10.1002/joc.3953.
Setvák, M.,
et al.
(2013),
A-Train observations of deep convective storm tops
,
Atmos. Res., 123
, 229-248, doi:10.1016/j.atmosres.2012.06.020.
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