Cloud Resolving Simulations of Mixed-Phase Arctic Stratus Observed during BASE: Sensitivity to Concentration of Ice Crystals and Large-Scale Heat and Moisture Advection

By Hongli Jiang, William Cotton, James Pinto, J. Curry, M. J. Weissbluth. 2000

148 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/4ef27a24ca6359a164361cbabd3d37e1c45f6889

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Citations in the corpus

On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model (2014, background): “Large-eddy simulations (LES) that have high enough resolution to resolve the turbulent motions generated by radiative cooling are able to represent the supercooled liquid layers at cloud top (Harrington et al. 1999; Jiang et al. 2000; Marsham et al. 2006; Hill et al. 2014; Field et al. 2013).”
Observed Microphysical Structure of Midlevel, Mixed-Phase Clouds (2002, background): “…simulations of liquid-only clouds that exist at midlevels (e.g., Liu and Krueger 1998; Starr and Cox 1985) and several simulations of arctic stratus that are mixed phase (e.g., Harrington et al. 1999; Jiang et al. 2000), few researchers have modeled both midlevel and mixed-phase clouds in detail.”
Microphysical characterization of mixed‐phase clouds (2003, background): “The phase composition affects the rate of precipitation formation and the life cycle of clouds in general (e.g. Tremblay et al. 1996; Jiang et al. 2000).”
Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges (2016, background): “Cloudresolving model studies have shown that by increasing IN number concentration by 2–3 times, a liquid stratus deck can be transformed into a broken, optically thin ice cloud system (Harrington et al. 1999; Jiang et al. 2000; Prenni et al. 2007; Morrison et al. 2011; Ovchinnikov et al. 2011).”
Arctic Mixed-Phase Cloud Properties from AERI Lidar Observations: Algorithm and Results from SHEBA (2005, background): “This can lead to errors in the modeled longwave radiative flux at the surface, which can have important affects in global climate models by altering the freezing and melting rate of the ice in the Arctic in the spring and autumn transition seasons (Jiang et al. 2000).”
Phase transformation of mixed‐phase clouds (2003, background): “…in a large variety of numerical models (e.g. Scott and Hobbs 1977; Hall 1980; Cotton and Anthes 1989; Houze 1992; Reisin et al. 1996; Lohmann and Roeckner 1996; Tremblay et al. 1996; Harrington et al. 1999; Jiang et al. 2000; Rotstayn et al. 2000; Zawadzki et al. 2000 to name a few of them).”
Mixed-Phase Clouds: Progress and Challenges (2017, background): “…concentrations tend to reduce the cloud liquid water, which can lead to a rapid glaciation of the cloud (e.g., Rauber and Tokay 1991; Pinto 1998; Jiang et al. 2000; Morrison et al. 2003; Fan et al. 2009; Klein et al. 2009; Lawson and Gettelman 2014; Ovchinnikov et al. 2014; Lawson et al. 2015).”
Freezing Drizzle Formation in Stably Stratified Layer Clouds: The Role of Radiative Cooling of Cloud Droplets, Cloud Condensation Nuclei, and Ice Initiation (2002, background): “Recent studies by Jiang et al. (2000), Harrington et al. (1999), and Pinto (1998) have all shown that the dynamics of arctic stratocumulus clouds are also strongly sensitive to the method of ice initiation used.”
Mesoscale modeling of springtime Arctic mixed-phase stratiform clouds using a new two-moment bulk microphysics scheme (2005, background): “Modeling studies of arctic MPS have exhibited large sensitivities to the specified ice particle or ice nuclei (IN) number concentrations (Harrington et al. 1999; Jiang et al. 2000; Morrison et al. 2003; Morrison et al. 2005b).”