Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Muller, I. Held (2012)
Detailed Investigation of the Self-Aggregation of Convection in Cloud-Resolving SimulationsJournal of the Atmospheric Sciences, 69
Mitchell (1987)
On Co2 climate sensitivity and model dependence of resultsQuart. J. Roy. Meteor. Soc., 113
C. Holloway, S. Woolnough (2016)
The sensitivity of convective aggregation to diabatic processes in idealized radiative‐convective equilibrium simulationsJournal of Advances in Modeling Earth Systems, 8
C. Bretherton, M. Khairoutdinov (2015)
Convective self‐aggregation feedbacks in near‐global cloud‐resolving simulations of an aquaplanetJournal of Advances in Modeling Earth Systems, 7
M. Horányi, T. Hartquist, O. Havnes, D. Mendis, G. Morfill (2004)
Dusty plasma effects in Saturn's magnetosphereReviews of Geophysics, 42
C. Hohenegger, B. Stevens (2016)
Coupled radiative convective equilibrium simulations with explicit and parameterized convectionJournal of Advances in Modeling Earth Systems, 8
D. Yang, A. Ingersoll (2014)
A theory of the MJO horizontal scaleGeophysical Research Letters, 41
D. Abbot (2014)
Resolved Snowball Earth CloudsJournal of Climate, 27
(2016)
2016: Coupled radiative convec
I. Held, Ming Zhao (2008)
Horizontally Homogeneous Rotating Radiative–Convective Equilibria at GCM ResolutionJournal of the Atmospheric Sciences, 65
M. Khairoutdinov, D. Randall (2003)
Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivitiesJournal of the Atmospheric Sciences, 60
T. Beucler, T. Cronin (2016)
Moisture‐radiative cooling instabilityJournal of Advances in Modeling Earth Systems, 8
W. Collins, P. Rasch, B. Boville, J. Hack, J. McCaa, D. Williamson, B. Briegleb, C. Bitz, Shian‐Jiann Lin, Minghua Zhang (2006)
The Formulation and Atmospheric Simulation of the Community Atmosphere Model Version 3 (CAM3)Journal of Climate, 19
A. Wing, T. Cronin (2014)
Self‐aggregation of convection in long channel geometryQuarterly Journal of the Royal Meteorological Society, 142
N. Arnold, D. Randall (2015)
Global‐scale convective aggregation: Implications for the Madden‐Julian OscillationJournal of Advances in Modeling Earth Systems, 7
C. Muller, S. Bony (2015)
What favors convective aggregation and why?Geophysical Research Letters, 42
R. Lindzen, S. Nigam (1987)
On the role of sea surface temperature gradients in forcing low-level winds and convergence in the tropicsJournal of the Atmospheric Sciences, 44
G. Craig, J. Mack (2013)
A coarsening model for self‐organization of tropical convectionJournal of Geophysical Research: Atmospheres, 118
W. Boos, A. Fedorov, L. Muir (2016)
Convective Self-Aggregation and Tropical Cyclogenesis under the Hypohydrostatic RescalingJournal of the Atmospheric Sciences, 73
N. Arnold, M. Branson, Z. Kuang, D. Randall, E. Tziperman (2015)
MJO Intensification with Warming in the Superparameterized CESMJournal of Climate, 28
I. Held, B. Soden (2006)
Robust Responses of the Hydrological Cycle to Global WarmingJournal of Climate, 19
C. Bretherton, P. Blossey, M. Khairoutdinov (2005)
An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SSTJournal of the Atmospheric Sciences, 62
By, E. (2006)
Some simple solutions for heat-induced tropical circulation
A. Gill (1980)
Some simple solutions for heat‐induced tropical circulationQuarterly Journal of the Royal Meteorological Society, 106
T. Schneider (2006)
The General Circulation of the AtmosphereNature, 164
Z. Kuang (2012)
Weakly Forced Mock Walker CellsJournal of the Atmospheric Sciences, 69
J. Mitchell, Chris Wilson, W. Cunnington (1987)
On Co2 climate sensitivity and model dependence of resultsQuarterly Journal of the Royal Meteorological Society, 113
D. Yang, A. Ingersoll (2012)
Triggered Convection, Gravity Waves, and the MJO: A Shallow-Water ModelJournal of the Atmospheric Sciences, 70
W. Grabowski, M. Moncrieff (2004)
Moisture–convection feedback in the tropicsQuarterly Journal of the Royal Meteorological Society, 130
R. Houze (2004)
Mesoscale convective systemsReviews of Geophysics, 42
Ken Takahashi (2009)
Radiative Constraints on the Hydrological Cycle in an Idealized Radiative–Convective Equilibrium ModelJournal of the Atmospheric Sciences, 66
J. Neelin (1989)
On the Intepretation of the Gill ModelJournal of the Atmospheric Sciences, 46
A. Sobel, J. Nilsson, L. Polvani (2001)
The Weak Temperature Gradient Approximation and Balanced Tropical Moisture WavesJournal of the Atmospheric Sciences, 58
M. Pritchard, Da Yang (2016)
Response of the Superparameterized Madden–Julian Oscillation to Extreme Climate and Basic-State Variation Challenges a Moisture Mode ViewJournal of Climate, 29
K. Emanuel, A. Wing, E. Vincent (2014)
Radiative‐convective instabilityJournal of Advances in Modeling Earth Systems, 6
(2016)
2016: The sensitivity
A. Wing, K. Emanuel (2013)
Physical mechanisms controlling self‐aggregation of convection in idealized numerical modeling simulationsJournal of Advances in Modeling Earth Systems, 6
Zhihong Tan, T. Schneider, J. Teixeira, K. Pressel (2017)
Large‐eddy simulation of subtropical cloud‐topped boundary layers: 2. Cloud response to climate changeJournal of Advances in Modeling Earth Systems, 9
AbstractOrganized rainstorms and their associated overturning circulations can self-emerge over an ocean surface with uniform temperature in cloud-resolving simulations. This phenomenon is referred to as convective self-aggregation. Convective self-aggregation is argued to be an important building block for tropical weather systems and may help regulate tropical atmospheric humidity and thereby tropical climate stability. Here the author presents a boundary layer theory for the horizontal scale λ of 2D (x, z) convective self-aggregation by considering both the momentum and energy constraints for steady circulations. This theory suggests that λ scales with the product of the boundary layer height h and the square root of the amplitude of density variation between aggregated moist and dry regions in the boundary layer, and that this density variation mainly arises from the moisture variation due to the virtual effect of water vapor. This theory predicts the following: 1) the order of magnitude of λ is ~2000 km, 2) the aspect ratio of the boundary layer λ/h increases with surface warming, and 3) λ decreases when the virtual effect of water vapor is disabled. These predictions are confirmed using a suite of cloud-resolving simulations spanning a wide range of climates.
Journal of the Atmospheric Sciences – American Meteorological Society
Published: Feb 18, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.