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Publication Citation
Ammann, S. I. S. ·. S. K. ·. D. R. ·. C., and E. F. W. ·. G. König‑Langlo (2015),
The energy balance over land and oceans: an assessment based on direct observations and CMIP5 climate models Martin Wild · Doris Folini · Maria Z. Hakuba · Christoph Schär ·
,
Clim. Dyn., 44
, 3393-3429, doi:10.1007/s00382-014-2430-z.
Atlas, D., Z. Wang, and
D. Duda
(2006),
Contrails to Cirrus—Morphology, Microphysics, and Radiative Properties
,
J. Appl. Meteor. Climat., 45
, 5-19.
Austin, R. T.
,
A. Heymsfield
, and
G. Stephens
(2009),
Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature
,
J. Geophys. Res., 114
, D00A23, doi:10.1029/2008JD010049.
Bacmeister, J.
, and G. L. Stephens (2011),
Spatial statistics of likely convective clouds in CloudSat data
,
J. Geophys. Res., 116
, D04104, doi:10.1029/2010JD014444.
Bankert, R. L., and J. E. Solbrig (2015),
Cluster Analysis of A-Train Data: Approximating the Vertical Cloud Structure of Oceanic Cloud Regimes
,
J. Appl. Meteor. Climat., 54
, 996-1008, doi:10.1175/JAMC-D-14-0227.1.
Baran, A. J.,
et al.
(2011),
Simulating the equivalent radar reflectivity of cirrus at 94 GHz using an ensemble model of cirrus ice crystals: a test of the Met Office global numerical weather prediction model
,
Q. J. R. Meteorol. Soc., 137
, 1547-1560.
Baran, A. J.,
et al.
(2014),
A self-consistent scattering model for cirrus. II: The high and low frequencies
,
Q. J. R. Meteorol. Soc., 140
, 1039-1057, doi:10.1002/qj.2193.
Bardeen, C.
,
et al.
(2013),
Improved cirrus simulations in a general circulation model using CARMA sectional microphysics
,
J. Geophys. Res., 118
, 11679-11697, doi:10.1002/2013JD020193.
Barker, H. W.
(2008),
Overlap of fractional cloud for radiation calculations in GCMs: A global analysis using CloudSat and CALIPSO data
,
J. Geophys. Res., 113
, D00A01, doi:10.1029/2007JD009677.
Barker, H. W.
(2008),
Representing cloud overlap with an effective decorrelation length: An assessment using CloudSat and CALIPSO data
,
J. Geophys. Res., 113
, D24205, doi:10.1029/2008JD010391.
Barker, H. W.
,
et al.
(2008),
A comparison between CloudSat and aircraft data for a multilayer, mixed phase cloud system during the Canadian CloudSat-CALIPSO Validation Project
,
J. Geophys. Res., 113
, D00A16, doi:10.1029/2008JD009971.
Barker, H. W.
,
et al.
(2011),
A 3D cloud-construction algorithm for the EarthCARE satellite mission
,
Q. J. R. Meteorol. Soc., 137
, 1042-1058.
Barker, H. W.
,
et al.
(2015),
Assessing the quality of active–passive satellite retrievals using broad-band radiances
,
Q. J. R. Meteorol. Soc., 141
, 1294-1305, doi:10.1002/qj.2438.
Barker, H. W.
,
et al.
(2015),
Estimation of Errors in Two-Stream Approximations of the Solar Radiative Transfer Equation for Cloudy-Sky Conditions
,
J. Atmos. Sci., 72
, 4053-4074, doi:10.1175/JAS-D-15-0033.1.
Barker, H. W.
, J. N. S. Colea, and M. W. Shepharda (2014),
Estimation of errors associated with the EarthCARE 3D scene construction algorithm
,
Q. J. R. Meteorol. Soc., 140
, 2260-2271, doi:10.1002/qj.2294.
Barker, H. W.
, J. N. S. Coleb, and J. Lib (2015),
Application of a Monte Carlo solar radiative transfer model in the McICA framework
,
Q. J. R. Meteorol. Soc., 141
, 3130-3139, doi:10.1002/qj.2597.
Barker, H. W.,
S. Kato
, and
T. Wehr
(2012),
Computation of Solar Radiative Fluxes by 1D and 3D Methods Using Cloudy Atmospheres Inferred from A-train Satellite Data
,
Surv. Geophys., 33
, 657-676, doi:10.1007/s10712-011-9164-9.
Battaglia, A., and J. Delanoë (2013),
Synergies and complementarities of CloudSat-CALIPSO snow observations
,
J. Geophys. Res., 118
, 721-731, doi:10.1029/2012JD018092.
Battaglia, A., and P. Kollias (2015),
Using Ice Clouds for Mitigating the EarthCARE Doppler Radar Mispointing
,
IEEE Trans. Geosci. Remote Sens., 53
, 2079-2085, doi:10.1109/TGRS.2014.2353219.
Battaglia, A.,
et al.
(2008),
Identifying multiple-scattering-affected profiles in CloudSat observations over the oceans
,
J. Geophys. Res., 113
, D00A17, doi:10.1029/2008JD009960.
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