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Publication Citation
Wu, L.
, H. Su, and J. H. Jiang (2011),
Regional simulations of deep convection and biomass burning over South America: 1. Model evaluations using multiple satellite data sets
,
J. Geophys. Res., 116
, D17208, doi:10.1029/2011JD016105.
Wyant, M. C.
,
et al.
(2015),
Global and regional modeling of clouds and aerosols in the marine boundary layer during VOCALS: the VOCA intercomparison
,
Atmos. Chem. Phys., 15
, 153-172, doi:10.5194/acp-15-153-2015.
Yan, H.,
et al.
(2014),
Long-term aerosol-mediated changes in cloud radiative forcing of deep clouds at the top and bottom of the atmosphere over the Southern Great Plains
,
Atmos. Chem. Phys., 14
, 7113-7124, doi:10.5194/acp-14-7113-2014.
Yang, D., and P. Wang (2010),
Spatial Distributions of Atmospheric Radiative Fluxes and Heating Rates over China during Summer
,
Atmospheric and Oceanic Science Letters, 05
, doi:10.1080/16742834.2010.11446877.
Yang, Q., Q. Fu, and Y. Hu (2010),
Radiative impacts of clouds in the tropical tropopause layer
,
J. Geophys. Res., 115
, D00H12, doi:10.1029/2009JD012393.
Yang, S., and X. Zou (2012),
Assessments of cloud liquid water contributions to GPS radio occultation refractivity using measurements from COSMIC and CloudSat
,
J. Geophys. Res., 117
, D06219, doi:10.1029/2011JD016452.
Yao, Z.,
et al.
(2010),
Synergetic use of POLDER and MODIS for multilayered cloud identification
,
Remote Sensing of Environment, 114
, 1910-1923, doi:10.1016/j.rse.2010.03.014.
Yao, Z.,
et al.
(2013),
Evaluation of single field-of-view cloud top height retrievals from hyperspectral infrared sounder radiances with CloudSat and CALIPSO measurements
,
J. Geophys. Res., 118
, 9182-9190, doi:10.1002/jgrd.50681.
Yoo, H., and Z. Li (2012),
Evaluation of cloud properties in the NOAA/NCEP global forecast system using multiple satellite products Hyelim Yoo • Zhanqing Li
,
Clim. Dyn., 39
, 2769-2787, doi:10.1007/s00382-012-1430-0.
Yoshida, R.,
et al.
(2010),
Global analysis of cloud phase and ice crystal orientation from Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio
,
J. Geophys. Res., 115
, D00H32, doi:10.1029/2009JD012334.
Yost, C.
,
et al.
(2009),
Parameterization of cirrus microphysical property profiles using GOES, CloudSat
,
and CALIPSO data. Eos Trans., AGU, 90
, 14-17.
Young, A. H. (2016),
The characterization of deep convection in the tropical tropopause layer using active and passive satellite observations
,
Ph.D. Thesis, School of Earth and Atmospheric Science, Georgia Institute of Technology
.
Young, A. H., J. J. Bates, and J. A. Curry (2012),
Complementary use of passive and active remote sensing for detection of penetrating convection from CloudSat, CALIPSO, and Aqua MODIS
,
J. Geophys. Res., 117
, D13205, doi:10.1029/2011JD016749.
Young, A. H., J. J. Bates, and J. A. Curry (2013),
Application of cloud vertical structure from CloudSat to investigate MODIS-derived cloud properties of cirriform, anvil, and deep convective clouds
,
J. Geophys. Res., 118
, 4689-4699, doi:10.1002/jgrd.50306.
Yuan, R.,
Z. Wang
, and D. Zhang (2015),
Quantifying the Hygroscopic Growth of Marine Boundary Layer Aerosols by Satellite-Based and Buoy Observations TAO LUO Department of Atmospheric Science
,
J. Atmos. Sci., 72
, 1063-1074, doi:10.1175/JAS-D-14-0170.1.
Yuan, T.
, and
L. Oreopoulos
(2013),
On the global character of overlap between low and high clouds
,
Geophys. Res. Lett., 40
, 5320-5326, doi:10.1002/grl.50871.
Yue, Q.
,
et al.
(2016),
Observation-Based Longwave Cloud Radiative Kernels Derived from the A-Train
,
J. Climate, 29
, 2023-2040, doi:10.1175/JCLI-D-15-0257.1.
Zamora, L.
, and
R. Kahn
(2020),
Saharan dust aerosols change deep convective cloud prevalence, possibly by inhibiting marine new particle formation
,
J. Climate, 33
, 9467-9477, doi:10.1175/JCLI-D-20-0083.1.
Zeng, S.,
et al.
(2014),
Study of global cloud droplet number concentration with A-Train satellites
,
Atmos. Chem. Phys., 14
, 7125-7134, doi:10.5194/acp-14-7125-2014.
Zhai, C., J. H. Jiang, and H. Su (2015),
Long-term cloud change imprinted in seasonal cloud variation: More evidence of high climate sensitivity
,
Geophys. Res. Lett., 42
, 8729-8737, doi:10.1002/2015GL065911.
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