Untangling aerosol effects on clouds and precipitation in a buffered system

By Bjorn Stevens, G. Feingold. Nature, 2009

1,176 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3f987b3ac36837b47e8d1b64078dcb9a9085c0e3

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Citations in the corpus

Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges (2016, background): “…a large analysis domain is less sensitive to the aerosol perturbation because of the buffering effects from the cloud microphysics (Li et al. 2008b; Fan et al. 2013), cloud dynamics (Stevens and Feingold 2009), and convective–radiative quasi-equilibrium relationship (Grabowski and Morrison 2011).”
The case against climate regulation via oceanic phytoplankton sulphur emissions (2011, background): “Furthermore, studies performed over the past decade with high-resolution models have revealed mechanisms that occur on cloud micro- and macrophysical scales that can buffer or are counter to an increase in cloud albedo that would be attributable to an increase in CC”
Machine learning and artificial intelligence to aid climate change research and preparedness (2019, background): “These polluted regions provide a ‘natural laboratory’ for the interaction between aerosol and cloud processes (Chen et al 2015), to understand aerosol impact on cloud radiative forcing and climate sensitivity (Stevens and Feingold 2009).”
Cloud condensation nuclei production associated with atmospheric nucleation: a synthesis based on existing literature and new results (2012, background): “…cloud microphysical properties (e.g. Mccomiskey et al., 2009; Shao and Liu, 2009), cloud cover and lifetime (e.g. Kaufman and Koren, 2006; Small et al., 2009), and the probability of clouds precipitating (Rosenfeld et al., 2008; Khain, 2009; Sorooshian et al., 2009; Stevens and Feingold, 2009).”
The invigoration of deep convective clouds over the Atlantic: aerosol effect, meteorology or retrieval artifact? (2010, background): “Conversely, the feedbacks sometimes exhibit multiple microphysical, dynamical and radiative effects that counter one another (Kaufman and Koren, 2006; Jiang and Feingold 2006; Koren et al 2008) and yield a relatively small overall effect.”
An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling (2016, background): “Their complex nature regarding size, shape, and chemical composition, their highly variable temporal and spatial distribution in the atmosphere, and their complex interactions with clouds require strong effort in their observation and characterization (IPCC, 2014; Stevens and Feingold, 2009).”
Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model (2009, methodology): “However, it is largely debated in the recent literature whether the satellite-derived TCC – AOD relationship is due to the aerosol cloud lifetime effect, or whether it could be explained by other reasons (Stevens and Feingold, 2009).”
Aerosol–climate interactions in the Norwegian Earth System Model – NorESM1-M (2012, background): “The global total of 8 Tg yr−1 is based on Spracklen et al. (2008).”
An aircraft case study of the spatial transition from closed to open mesoscale cellular convection over the Southeast Pacific (2010, background): “These responses are the result of competing effects with increased CCN suppressing precipitation formation but, as a consequence, increasing the lateral and cloud-top entrainment that tends to25 reduce cloud volume (Wood, 2007; Xue et al., 2008; Stevens and Feingold, 2009).”
Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011, methodology): “This robustness of the precipitation confirms the concept of clouds as a buffered system as formulated by Stevens and Feingold (2009).”
The albedo of Earth (2015, neutral): “Perturbations to the albedo through effects of aerosol on clouds appears to be buffered by compensating processes [ Stevens and Feingold , 2009] that restrict local albedo changes to changing aerosol in ﬂ uences [ Christensen and Stephens , 2011; Chen et al ., 2012].”
Atmospheric component of the MPI‐M Earth System Model: ECHAM6 (2013, background): “Although prototype schemes have been developed, the nature of the coupling between clouds and aerosol particles remains uncertain, particularly on the scale of the cloud ensemble that large-scale models endeavor to parameterize [Stevens and Feingold, 2009], and simple schemes that have been develope”