An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SST
By Chris Bretherton, Peter N. Blossey, M. Khairoutdinov. 2005
511 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5fd95e7ba24194080910918771fc6cf45c5c8756
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Citations in the corpus
- An Idealized Semi-Empirical Framework for Modeling the Madden–Julian Oscillation (2012, background): “…(in less heavily parameterized form) have been found to cause spontaneous selfaggregation of convection in large-domain cloud-resolving simulations (Bretherton et al. 2005), behavior that is captured by the existence of multiple equilibria (convecting and nonconvecting) in WTG single-column (Sobel…”
- Detailed Investigation of the Self-Aggregation of Convection in Cloud-Resolving Simulations (2012, result): “9 is consistent with the qualitative results that 1) there is no self-aggregation with horizontally homogenized longwave cooling regardless of the domain size or resolution, 2) shortwave interactive radiation opposes self-aggregation, and 3) inhomogeneous surface fluxes favor self-aggregation.”
- Physical mechanisms controlling the initiation of convective self‐aggregation in a General Circulation Model (2015, methodology): “This study thus shows that the phenomenon of self-aggregation pointed out in CRMs [Bretherton et al., 2005; Held et al., 2007; Muller and Held, 2012; Wing and Emanuel, 2014; Wing and Cronin, 2015; Muller and Bony, 2015] and a few other GCMs [Held and Zhao, 2008; Becker and Stevens, 2014; Shi and Bre”
- Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation (2012, methodology): “The implications of the convective aggregation for the large-scale atmospheric state have been the focus of several cloud-resolving model (CRM) studies (e.g., Held et al. 1993; Tompkins 2001; Bretherton et al. 2005; Khairoutdinov and Emanuel 2010).”
- Clouds, circulation and climate sensitivity (2015, background): “These studies, and observational analyses inspired by them, suggest that the degree of aggrega-282 tion of a given amount of convection influences the mean atmospheric state: an atmosphere in which convection is more aggregated is drier, clearer, and more efficient at radiating heat to space 37,38 .”
- An Analytical Model for Tropical Relative Humidity (2014, methodology): “Both shortwave and longwave radiation were calculated interactively using the Rapid Radiative Transfer Model (Clough et al. 2005; Iacono et al. 2008), and the top-ofatmosphere insolation was specified to be a constant diurnal average for the equator on 1 January.”
- Uncertainty in Model Climate Sensitivity Traced to Representations of Cumulus Precipitation Microphysics (2016, methodology): “However, model simulations of convective aggregation in RCE are sensitive to many details, including domain size, resolutions, and initial conditions (e.g., Bretherton et al. 2005; Muller and Held 2012).”
- Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, background): “The importance of moisture and radiative feedbacks to the MJO is well documented, and it has been argued that the MJO could be a form of convective self-aggregation on an equatorial beta plane, and on a scale much larger than the CSRM studies to date [Bretherton et al., 2005].”
- What favors convective aggregation and why? (2015, methodology): “…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…”
- Self‐aggregation of convection in long channel geometry (2014, unknown): “A useful metric across temperatures is the column relative humidity or saturation fraction, H, which is the ratio of the precipitable water q̂ to the saturation water-vapour path q̂∗ (e.g. Bretherton et al., 2005).”
- Convective Self-Aggregation in Numerical Simulations: A Review (2017, methodology): “Vertical wind shear and/or strong mean winds make self-aggregation less likely (Held et al, 1993; Bretherton et al, 2005; Wing, 2014; Abbot, 2014), although much remains to be understood about the sensitivity of aggregation to vertical wind shear.”
- Radiative‐convective instability (2014, background): “…three-dimensional 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.,…”
- Moisture modes and the Madden-Julian oscillation. (2009, background): “2001) or self-enhanced surface heat uxes and suppression of radiative losses, as in a tropical cyclone (Emanuel 1986; Raymond et al. 2007). The latter situation can be represented as an e ective negative GMS (Su and Neelin 2002; Masahiro Sugiyama, personal communication 2008) in situations where the”