Retrieval of ice cloud microphysical parameters using the CloudSat millimeter‐wave radar and temperature

By Richard T. Austin, Andrew J. Heymsfield, Graeme L. Stephens. 2009

336 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b4556b8560c024f17fec32fc9b96e072abaeef1c

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Citations in the corpus

Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar (2010, methodology): “0148‐0227/10/2009JD013104 JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115, D00J15, doi:10.1029/2009JD013104, 2010 D00J15 1 of 18 aerosol properties globally [i.e., Austin et al., 2009; Josset et al., 2008].”
Radar Scattering from Ice Aggregates Using the Horizontally Aligned Oblate Spheroid Approximation (2012, methodology): “2006; Delanoë and Hogan 2008; Austin et al. 2009). The appropriate mass–size relationship is then sometimes reformulated in terms of the effective density of these equivalent spheres (Heymsfield et al. 2004). For radar scattering, however, the question arises as to which is the appropriate diameter ”
A Multisensor Perspective on the Radiative Impacts of Clouds and Aerosols (2013, methodology): “…vertical distributions of liquid and ice cloud effective radii and water contents from the level-2 cloud water content product (2B-CWC) (Austin 2007; Austin et al. 2009), ancillary temperature and humidity profiles from the European Centre for Medium-RangeWeather Forecasts (ECMWF) analyses, and…”
An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data (2012, neutral): “2B-CWC-RO4 [Austin et al., 2009].”
CloudSat mission: Performance and early science after the first year of operation (2008, methodology): “[42] The CloudSat 2B-CWC-RO data product provides an estimate of ice water content [ Austin et al., 2008 ], and the ice water path (IWP) derived from this product is presented in Figure 13a in the form of global and annual averaged IWP.”
Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations (2012, methodology): “The retrievals are described by Austin et al. [2009]. These data have horizontal resolutions of ~2.”
Intercomparison of the cloud water phase among global climate models (2014, background): “[2009] assigned a value of 40% for the systematic error [Austin et al., 2009; Waliser et al., 2009].”
Cloud ice: A climate model challenge with signs and expectations of progress (2007, methodology): “…CloudSat retrieval for ice water content (IWC) (version 5.1, contained in release 4 (R04) of the CloudSat 2B-CWC-RO data product) uses an optimal estimation approach to retrieve parameters of the ice cloud particle size distribution based on measurements of radar reflectivity [Austin et al., 2009].”
Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, background): “[4] The recent availability of the first tropospheric verti- cally resolved cloud radar reflectivity and derived ice/liquid profiles from CloudSat [Austin et al., 2009] and combined with CALIPSO [Deng et al., 2010, 2013; Delanoë and Hogan, 2008, 2010] provides new means for global cloud mass…”