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Publication Citation
(2020),
Estimates of Regional Source Contributions to the Asian Tropopause Aerosol Layer Using a Chemical Transport Model
,
J. Geophys. Res., 125
, doi:10.1029/2019JD031506.
Adhikari, L.
,
Z. Wang
, and D. Liu (2010),
Microphysical properties of Antarctic polar stratospheric clouds and their dependence on tropospheric cloud systems
,
J. Geophys. Res., 115
, D00H18, doi:10.1029/2009JD012125.
Adhikari, L.
,
Z. Wang
, and
M. Deng
(2012),
Seasonal variations of Antarctic clouds observed by CloudSat and CALIPSO satellites
,
J. Geophys. Res., 117
, D04202, doi:10.1029/2011JD016719.
Bardeen, C.
,
et al.
(2013),
Improved cirrus simulations in a general circulation model using CARMA sectional microphysics.
,
O. Toon.. Improved cirrus simulations in a general circulation model using CARMA sectional microphysics. J. Geophys, Res.: Atmospheres, 118 (20), 118
, 11,679-11,697, doi:10.1002/2013JD020193.
Buchard-Marchant, V. J.
,
et al.
(2017),
The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies
,
J. Climate, 30
, 6851-6872, doi:10.1175/JCLI-D-16-0613.1.
Campbell, J.
,
et al.
(2010),
CALIOP Aerosol Subset Processing for Global Aerosol Transport Model Data Assimilation
,
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 3
, 203-214, doi:10.1109/JSTARS.2010.2044868.
Cesana, G.
,
et al.
(2019),
Evaluating models’ response of tropical low clouds to SST forcings using CALIPSO observations
,
Atmos. Chem. Phys., 19
, 2813-2832, doi:10.5194/acp-19-2813-2019.
Cho, H.-M.,
et al.
(2008),
Depolarization ratio and attenuated backscatter for nine cloud types: analyses based on collocated CALIPSO lidar and MODIS measurements
,
Opt. Express, 16
, 3931-3948.
Del Genio, A.
(2012),
Representing the Sensitivity of Convective Cloud Systems to Tropospheric Humidity in General Circulation Models
,
Surv. Geophys., 33
, 637-656, doi:10.1007/s10712-011-9148-9.
Del Genio, A.
, and
Y. Chen
(2015),
Cloud-radiative driving of the Madden-Julian oscillation as seen by the A-Train
,
J. Geophys. Res., 120
, 5344-5356, doi:10.1002/2015JD023278.
Del Genio, A.
,
et al.
(2012),
The MJO Transition from Shallow to Deep Convection in CloudSat/CALIPSO Data and GISS GCM Simulations
,
J. Climate, 25
, 3755-3770, doi:10.1175/JCLI-D-11-00384.1.
Delanöe, J.,
et al.
(2011),
Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data
,
Q. J. R. Meteorol. Soc., 137
, 2064-2078, doi:10.1175/JCLI-D-11-00384.1.
Deng, M.
,
J. Mace
, and
Z. Wang
(2016),
Anvil Productivities of Tropical Deep Convective Clusters and Their Regional Differences
,
J. Atmos. Sci., 73
, 3467-3487, doi:10.1175/JAS-D-15-0239.1.
Dessler, A.
(2009),
Clouds and water vapor in the Northern Hemisphere summertime stratosphere
,
J. Geophys. Res., 114
, D00H09, doi:10.1029/2009JD012075.
Fadnavis, S.,
et al.
(2019),
Elevated aerosol layer over South Asia worsens the Indian droughts
,
Scientific Reports, 9
, doi:10.1038/s41598-019-46704-9.
Fadnavis, S.,
et al.
(2019),
Elevated aerosol layer over South Asia worsens the Indian droughts
,
Scientific Reports, 9
, doi:10.1038/s41598-019-46704-9.
Feng, Y.
,
et al.
(2022),
Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution
,
J. Adv. Modeling Earth Syst.
.
Fromm, M.
,
et al.
(2021),
Quantifying the Source Term and Uniqueness of the August 12, 2017 Pacific Northwest PyroCb Event
,
J. Geophys. Res.
.
Fromm, M.
,
et al.
(2022),
Quantifying the Source Term and Uniqueness of the August 12, 2017 Pacific Northwest PyroCb Event
,
J. Geophys. Res.
.
Ganeshan, M., and
Y. Yang
(2018),
A Regional Analysis of Factors Affecting the Antarctic Boundary Layer During the Concordiasi Campaign
,
J. Geophys. Res., 123
, doi:10.1029/2018JD028629.
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