Aerosol effects on clouds, precipitation, and the organization of shallow cumulus convection

By H. Xue, G. Feingold, Bjorn Stevens. 2008

270 citations recorded by the source corpus.

Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2db1f8aac0ee57c60d1d8535e295e68b05398470

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Alexander Khain
2. Bjorn Stevens
3. A. Seifert
4. Klaus D. Beheng
5. C. Köhler
6. G. Feingold
7. Andrew Gettelman
8. Hugh Morrison

In Earth-Surface Processes

1. A. Seifert
2. Alexander Khain
3. G. Feingold
4. Hongli Jiang
5. Bjorn Stevens
6. Klaus D. Beheng
7. C. Köhler
8. J. Small

In Global and Planetary Change

1. Alexander Khain
2. A. Seifert
3. Bjorn Stevens
4. Klaus D. Beheng
5. C. Köhler
6. Hugh Morrison
7. G. Feingold
8. Andrew Gettelman

Citations in the corpus

• Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011, background): “One example of such complex behavior is the non-monotonic dependency of cloud fraction on aerosol concentration (Xue et al., 2008).”
• Can aerosol decrease cloud lifetime? (2009, methodology): “Based on these studies, it has been proposed [Xue et al., 2008] that there exist two distinct regimes: a precipitating regime where aerosol perturbations suppress precipitation, and increase LWP and fc (consistent with Albrecht [1989] and Ackerman et al. [2004]), and a non-precipitating regime…”
• Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, background): “…Kogan 2000; Seifert and Beheng 2001; Morrisson and Grabowski 2007, among others), and the use of large-eddy simulation to study aerosol-cloud interactions from the perspective of climate (e.g., Kogan et al. 1995; Stevens et al. 1998; Jiang and Cotton 2000; Ackerman et al. 2004; Xue et al. 2008).”
• Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? (2015, methodology): “Many studies using LES models have been conducted to determine the characteristics of shallow cloud and improve large-scale modeling (e.g., Wang and Feingold 2009; Xue et al. 2008, Savic-Jovcic and Stevens 2008, Yamaguchi and Randall 2012).”
• Constraining the aerosol influence on cloud liquid water path (2018, methodology): “Phys., 19, 5331–5347, 2019 black line), supports the model-based results of Ackerman et al. (2004), Xue and Feingold (2006) and Xue et al. (2008), where increasing the Nd can result in a LWP reduction in clouds in which precipitation does not reach the surface.”
• Notes on state-of-the-art investigations of aerosol effects on precipitation: a critical review (2009, background): “Recent studies (Pinsky et al 2007, 2008a, Wang et al 2005, Xue et al 2008a, 2008b, Franklin et al 2005) showed that in deep clouds turbulence increases the collision rate between droplets several times, i.e. the collision rate between droplets is determined largely by turbulence and not by gravity.”