Dependence of the Ice Water Content and Snowfall Rate on Temperature, Globally: Comparison of in Situ Observations, Satellite Active Remote Sensing Retrievals, and Global Climate Model Simulations
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Bailey, 2012, Ice crystal linear growth rates from −20° to −70°C: Confirmation from wave cloud studies, J. Atmos. Sci., 69, 390, 10.1175/JAS-D-11-035.1
Bretherton, 2009, A new moist turbulence parameterization in the Community Atmosphere Model, J. Climate, 22, 3422, 10.1175/2008JCLI2556.1
Cao, 2014, Snowfall detectability of NASA’s CloudSat: The first cross-investigation of its 2C-SP product and National Multisensor Mosaic QPE (NMQ) snowfall data, Prog. Electromagn. Res., 148, 55, 10.2528/PIER14030405
Deng, 2010, Tropical Composition, Cloud and Climate Coupling Experiment validation for cirrus cloud profiling retrieval using CloudSat radar and CALIPSO lidar, J. Geophys. Res., 115, D00J15, 10.1029/2009JD013104
Deng, 2013, Evaluation of several A-Train ice cloud retrieval products with in situ measurements collected during the SPARTICUS campaign, J. Appl. Meteor. Climatol., 52, 1014, 10.1175/JAMC-D-12-054.1
Deng, 2015, CloudSat 2C-ICE product update with a new Ze parameterization in lidar-only region, J. Geophys. Res., 120, 12 198, 10.1002/2015JD023600
Eidhammer, 2014, Comparison of ice clod properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations, Atmos. Chem. Phys., 14, 10 103, 10.5194/acp-14-10103-2014
Field, 2015, Importance of snow to global precipitation, Geophys. Res. Lett., 42, 9512, 10.1002/2015GL065497
Furtado, 2015, Eurasian snow cover variability and links to winter climate in the CMIP5 models, Climate Dyn., 45, 2591, 10.1007/s00382-015-2494-4
Gettelman, 2015, Advanced two-moment bulk microphysics for global models. Part I: Off-line tests and comparison with other schemes, J. Climate, 28, 1268, 10.1175/JCLI-D-14-00102.1
Gettelman, 2010, Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model, J. Geophys. Res., 115, D18216, 10.1029/2009JD013797
Gregory, 1990, A mass flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure, Mon. Wea. Rev., 118, 1483, 10.1175/1520-0493(1990)118<1483:AMFCSW>2.0.CO;2
Haynes, 2009, Rainfall retrieval over the ocean with spaceborne W band radar, J. Geophys. Res., 114, D00A22, 10.1029/2008JD009973
Heymsfield, 2014, Cloud conditions favoring secondary ice particle production in tropical maritime convection, J. Atmos. Sci., 71, 4500, 10.1175/JAS-D-14-0093.1
Heymsfield, 2013, Ice cloud particle size distributions and pressure-dependent terminal velocities from in situ observations at temperatures from 0° to −86°C, J. Atmos. Sci., 70, 4123, 10.1175/JAS-D-12-0124.1
Hitschfeld, 1954, Errors inherent in the radar measurement of rainfall at attenuating wavelengths, J. Meteor., 11, 58, 10.1175/1520-0469(1954)011<0058:EIITRM>2.0.CO;2
Hou, 2014, The Global Precipitation Measurement Mission, Bull. Amer. Meteor. Soc., 95, 701, 10.1175/BAMS-D-13-00164.1
Hurrell, 2013, The Community Earth System Model: A framework for collaborative research, Bull. Amer. Meteor. Soc., 94, 1339, 10.1175/BAMS-D-12-00121.1
Iguchi, 2010
Khanal, 2015, Evaluation of the lidar–radar cloud ice water content retrievals using collocated in situ measurements, J. Appl. Meteor. Climatol., 54, 2087, 10.1175/JAMC-D-15-0040.1
Koop, 2000, Water activity as the determinant for homogeneous ice nucleation in aqueous solutions, Nature, 406, 611, 10.1038/35020537
Krämer, 2016, A microphysics guide to cirrus clouds—Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463, 10.5194/acp-16-3463-2016
Liu, 2008, A database of microwave single-scattering properties for nonspherical ice particles, Bull. Amer. Meteor. Soc., 89, 1563, 10.1175/2008BAMS2486.1
Liu, 2012, Toward a minimal representation of aerosols in climate models: Description and evaluation in the Community Atmosphere Model CAM5, Geosci. Model Dev., 5, 709, 10.5194/gmd-5-709-2012
Lock, 2000, A new boundary layer mixing scheme. Part I: Scheme description and single column model tests, Mon. Wea. Rev., 128, 3187, 10.1175/1520-0493(2000)128<3187:ANBLMS>2.0.CO;2
Luebke, 2013, Ice water content of Arctic, midlatitude, and tropical cirrus—Part 2: Extension of the database and new statistical analysis, Atmos. Chem. Phys., 13, 6447, 10.5194/acp-13-6447-2013
Morrison, 2008, A new two-moment bulk stratiform cloud microphysics scheme in the NCAR Community Atmosphere Model (CAM5). Part I: Description and numerical tests, J. Climate, 21, 3642, 10.1175/2008JCLI2105.1
Neale, 2010
Norin, 2015, Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden, Atmos. Meas. Tech., 8, 5009, 10.5194/amt-8-5009-2015
Park, 2014, Integrating cloud processes in the Community Atmosphere Model, version 5, J. Climate, 27, 6821, 10.1175/JCLI-D-14-00087.1
Pincus, 2008, Evaluating the present-day simulation of clouds, precipitation, and radiation in climate models, J. Geophys. Res., 113, D14209, 10.1029/2007JD009334
Protat, 2010, The evaluation of CloudSat-derived ice microphysical products using ground-based cloud radar and lidar observations, J. Atmos. Oceanic Technol., 27, 793, 10.1175/2009JTECHA1397.1
Randall, 2007
Schiller, 2008, Ice water content in Arctic, midlatitude and tropical cirrus, J. Geophys. Res., 113, D24208, 10.1029/2008JD010342
Skofronick-Jackson, 2013, Detection thresholds of falling snow from satellite-borne active and passive sensors, IEEE Trans. Geosci. Remote Sens., 51, 4177, 10.1109/TGRS.2012.2227763
Stephens, 2002, The CloudSat mission and the A-TRAIN: A new dimension to space-based observations of clouds and precipitation, Bull. Amer. Meteor. Soc., 83, 1771, 10.1175/BAMS-83-12-1771
Toyoshima, 2015, Early evaluation of Ku- and Ka-band sensitivities for the Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR), SOLA, 11, 14, 10.2151/sola.2015-004
Waliser, 2011, The impact of precipitating ice and snow on the radiation balance in global climate models, Geophys. Res. Lett., 38, L06802, 10.1029/2010GL046478
Wilson, 1999, A microphysically based precipitation scheme for the UK meteorological office Unified Model, Quart. J. Roy. Meteor. Soc., 125, 1607, 10.1002/qj.49712555707
Wilson, 2008, A prognostic cloud fraction and condensation scheme. I: Scheme description, Quart. J. Roy. Meteor. Soc., 134, 2093, 10.1002/qj.333
Wood, 2013