2015
DOI: 10.1002/2015ms000446
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Convective response to changes in the thermodynamic environment in idealized weak temperature gradient simulations

Abstract: We investigate the response of convection to idealized perturbations in the thermodynamic environment in simulations which parameterize the large-scale circulations using the weak temperature gradient (WTG) approximation. The perturbations include a combination of modifying the environmental moisture and atmospheric stability via imposing anomalies in reference moisture and temperature profiles. We find that changes in atmospheric stability strongly influence the character of convection by drastically modifyin… Show more

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Cited by 33 publications
(130 citation statements)
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“…In this work, we utilize the strategy of Sessions et al . [], but rather than investigating the additional role of horizontal moisture advection (as in Sessions et al . []), we consider how interactive versus noninteractive radiative cooling affects convection in different thermodynamic environments.…”
Section: Introductionsupporting
confidence: 75%
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“…In this work, we utilize the strategy of Sessions et al . [], but rather than investigating the additional role of horizontal moisture advection (as in Sessions et al . []), we consider how interactive versus noninteractive radiative cooling affects convection in different thermodynamic environments.…”
Section: Introductionsupporting
confidence: 75%
“…In addition to identifying conditions which support or suppress convection, WTG is also an efficient method for characterizing convection in different thermodynamic environments, as was demonstrated in Sessions et al . []. In this work, we utilize the strategy of Sessions et al .…”
Section: Introductionmentioning
confidence: 99%
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“…Under the influence of strong drying by horizontal advection in the first week of DYNAMO and strong temperature anomalies in the lower levels, which effectively suppress convection [e.g., Sessions et al ., ], our model simulations with interactive radiation (described in detail in section 3.2) settle into a dry state which is either permanent, or from which the simulation takes a long time to recover, and in either case in disagreement with observations. It is possible that this is in part due to the moist static energy bias in the forcing data set during that period [e.g., Johnson et al ., ].…”
Section: Resultsmentioning
confidence: 88%
“…This modeling framework extends the notion of ''parameterization of large-scale dynamics'' previously applied in the tropics-including the weak-temperature-gradient method [e.g., Sobel and Bretherton, 2000;Raymond and Zeng, 2005;Daleu et al, 2015], the damped-gravity-wave method [e.g., Kuang, 2008;Blossey et al, 2009;Romps, 2012;Daleu et al, 2015], and related others [e.g., Mapes, 2004;Bergman and Sardeshmukh, 2004]-to parameterize large-scale vertical motion. These methods allow attribution of precipitation to environmental factors such as the sea surface temperature (SST) or the large-scale tropospheric temperature profile, and have been used to aid understanding of a variety of phenomena in the tropics [e.g., Chiang and Sobel, 2002;Wang et al, 2013Wang et al, , 2015Nie and Sobel, 2015;Sessions et al, 2015]. In the extratropics, quasi-balanced dry adiabatic PV dynamics, captured in an approximate way by the QG system [e.g., Charney, 1948;Phillips, 1951;Hoskins et al, 1985] plays a larger role in inducing large-scale vertical motion than it does in the tropics.…”
Section: Introductionmentioning
confidence: 99%