2011
DOI: 10.1175/2010jas3603.1
|View full text |Cite
|
Sign up to set email alerts
|

Aerosol Indirect Effects on Tropical Convection Characteristics under Conditions of Radiative–Convective Equilibrium

Abstract: The impacts of enhanced aerosol concentrations such as those associated with dust intrusions on the trimodal distribution of tropical convection have been investigated through the use of large-domain (10 000 grid points), fine-resolution (1 km), long-duration (100 days), two-dimensional idealized cloud-resolving model simulations conducted under conditions of radiative-convective equilibrium (RCE). The focus of this research is on those aerosols that serve primarily as cloud condensation nuclei (CCN). The resu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

7
142
0

Year Published

2013
2013
2016
2016

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 166 publications
(149 citation statements)
references
References 97 publications
(108 reference statements)
7
142
0
Order By: Relevance
“…Despite constant precipitable water in the fSST cases, the precipitation rate tends to increase with increasing CCN count, with estimated relative susceptibility of 0.06 mm day −1 or about 2 % relative to the control case. Such a relatively minor change in precipitation rate is consistent with other studies (e.g., Rotstayn and Penner, 2001;van den Heever et al, 2011;Grabowski and Morrison, 2011;Morrison and Grabowski, 2011). The increase is the response to the modest increase of radiative cooling as indicated by the increase of OLR (see Fig.…”
Section: Hydrological Cycle and Cloud Statisticssupporting
confidence: 91%
See 3 more Smart Citations
“…Despite constant precipitable water in the fSST cases, the precipitation rate tends to increase with increasing CCN count, with estimated relative susceptibility of 0.06 mm day −1 or about 2 % relative to the control case. Such a relatively minor change in precipitation rate is consistent with other studies (e.g., Rotstayn and Penner, 2001;van den Heever et al, 2011;Grabowski and Morrison, 2011;Morrison and Grabowski, 2011). The increase is the response to the modest increase of radiative cooling as indicated by the increase of OLR (see Fig.…”
Section: Hydrological Cycle and Cloud Statisticssupporting
confidence: 91%
“…The GCMs generally do not resolve individual clouds; therefore, virtually all the complexities of aerosol-cloud-radiation interactions have to be parameterised (e.g., Abdul-Razzak and Ghan, 2002;Nenes and Seinfeld, 2003;Liu and Penner, 2005;Hoose et al, 2010). On the other hand, many details of these interactions including convection, large-scale forcing, aerosol, cloud microphysics and radiation can be explicitly represented by CRMs (e.g., Lu and Seinfeld, 2005;Grabowski, 2006;Tao et al, 2007;van den Heever et al, 2011;Morrison and Grabowski, 2011). Recently, a GCM that uses a CRM as a super-parameterisation of clouds has been developed to link the explicitly simulated clouds and aerosol processes on global scale (Wang et al, 2011).…”
Section: Published By Copernicus Publications On Behalf Of the Europementioning
confidence: 99%
See 2 more Smart Citations
“…Aerosolenhanced cloud fraction and cloud top height for DCCs have been ubiquitously observed [Koren et al, 2010;Li et al, 2011;Storer and van den Heever, 2013], and microphysical invigoration has been proposed as a dominant mechanism based on model simulations with a bin cloud microphysics . In spite of substantial efforts made to identify the governing factors and mechanisms in aerosol-cloud interactions (ACI) in recent studies [Feingold and Chuang, 2002;Yin et al, 2005;van den Heever et al, 2006van den Heever et al, , 2011Rosenfeld et al, 2008;Lee et al, 2009;Saleeby et al, 2010;Fan et al, 2009aFan et al, , 2013, aerosol impacts on the evolution of various types of clouds and precipitation remain poorly known. Quantification of AIE is still challenging and represents one of the largest uncertainties in climate predictions.…”
Section: Introductionmentioning
confidence: 99%