Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation

By I. Tobin, Sandrine Bony, Remy Roca. 2012

217 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3c3760cfdd60e42ff247ad21a613de63590235e7

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Citations in the corpus

Organization of tropical convection in low vertical wind shears: Role of updraft entrainment (2017, background): “In contrast, troposphericdeep convection continues to occur throughout the domain in the two simulations using the TKE and 2D Smagorinsky scheme (tke3dpbl and smag2dpbl) and these high values of OLR are not observed.”
Physical mechanisms controlling the initiation of convective self‐aggregation in a General Circulation Model (2015, methodology): “This result is consistent with observations [Tobin et al., 2012, 2013], showing that for similar surface and large-scale dynamical forcings, situations where convection is more aggregated are associated with a lower free-tropospheric humidity, less upper-tropospheric clouds, more outgoing longwave…”
Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, background): “Strong mesoscale organization has been observed in tropical field campaigns [e.g., Houze and Betts, 1981] and by satellite [e.g., Tobin et al., 2012], but it remains unclear how closely these forms of organization resemble the simple quasi-circular systems seen in modeling studies.”
Climate and climate change in a radiative‐convective equilibrium version of ECHAM6 (2013, background): “[21] A number of studies suggest that the mean RH of the tropical atmosphere depends on the degree of convective aggregation [Bretherton et al., 2005; Muller and Held, 2012; Tobin et al., 2012], with more aggregation leading to an on average drier troposphere.”
Uncertainty in Model Climate Sensitivity Traced to Representations of Cumulus Precipitation Microphysics (2016, background): “Once aggregated, the organized convection tends to dramatically reduce the domain-averaged relative humidity and clouds throughout the troposphere, indicating strong reductions in the magnitude of both LW and SW CRE (e.g., Bony et al. 2015; Tobin et al. 2012).”
Self‐aggregation of convection in long channel geometry (2014, unknown): “There is also observational evidence for the dependence of the area-average atmospheric state on the degree of aggregation of convection that is in some ways consistent with numerical simulations (Tobin et al., 2012, 2013).”
Radiative‐convective instability (2014, background): “…cyclones and the Madden-Julian Oscillation and compromising potentially important climate feedbacks such as may occur through drying of the atmosphere [Khairoutdinov and Emanuel, 2010; Tobin et al., 2012] and mixing of the upper ocean [Emanuel, 2001; Korty et al., 2007; Vincent et al., 2012].”
Convective Self-Aggregation in Numerical Simulations: A Review (2017, background): “A decrease in high clouds with aggregation is found in CRM simulations (Figure 5), GCM simulations of RCE with parameterized convection (Bony et al, 2016), and in observations (Tobin et al, 2012, 2013).”
Physical mechanisms controlling self‐aggregation of convection in idealized numerical modeling simulations (2013, background): “, 2009) , QuikScat scatterometer winds and microwave-based precipitable water estimates (Mapes et al., 2009; Tobin et al., 2012) to supplement traditional IR brightness temperature.”