Convective self‐aggregation, cold pools, and domain size
By N. Jeevanjee, David M. Romps. 2013
147 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c1f0895507ea43d533a6594cd16326e4d702cff0
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Citations in the corpus
- Radiative‐convective instability (2014, unknown): “…cloud-permitting models, and this ‘‘selfaggregation’’ of convection has since been demonstrated and examined by several others [e.g., Bretherton et al., 2005; Held and Zhao, 2008; Jeevanjee and Romps, 2013; Khairoutdinov and Emanuel, 2010; Muller and Held, 2012; Nolan et al., 2007].”
- Convective Self-Aggregation in Numerical Simulations: A Review (2017, background): “…this case may also be important (both downdrafts and cold pools are absent when the evaporation of rain is suppressed), consistent with evidence from Jeevanjee and Romps (2013) that cold pools actually slow down the aggregation process by increasing low-level mixing between moist and dry regions.”
- Could Machine Learning Break the Convection Parameterization Deadlock? (2018, background): “…which are essential to accurately predicting the response of clouds and precipitation to global warming, as well as modes of climate variability [ Jeevanjee and Romps , 2013; Wing and Emanuel , 2014; Arnold and Randall , 2015; Bony et al. , 2015; Bretherton and Khairoutdinov , 2015; Coppin and…”
- What favors convective aggregation and why? (2015, background): “…that has received attention recently is the self-aggregation of convection [see, for instance, Held et al., 1993; Raymond and Zeng, 2000; Bretherton et al., 2005; Sobel et al., 2007; Muller and Held, 2012; Tobin et al., 2012; Craig and Mack, 2013; Jeevanjee and Romps, 2013; Emanuel et al., 2014].”
- Physical mechanisms controlling the initiation of convective self‐aggregation in a General Circulation Model (2015, background): “…or revisit our interpretation of different aspects of tropical meteorology and climate [e.g., Bretherton et al., 2005; Nolan et al., 2007; Khairoutdinov and Emanuel, 2010; Muller and Held, 2012; Jeevanjee and Romps, 2013; Wing and Emanuel, 2014; Muller and Bony, 2015; Wing and Cronin, 2015].”
- Physical mechanisms controlling self‐aggregation of convection in idealized numerical modeling simulations (2013, background): “[12] Self-aggregation is sensitive to the domain size and horizontal resolution of the simulations, with aggregation being favored by large domains and relatively coarse resolution [Muller and Held, 2012; Jeevanjee and Romps, 2013].”