2021
DOI: 10.5194/acp-2021-559
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Opportunistic Experiments to Constrain Aerosol Effective Radiative Forcing

Abstract: Abstract. Aerosol-cloud interactions (ACI) are considered to be the most uncertain driver of present-day radiative forcing due to human activities. The non-linearity of cloud-state changes to aerosol perturbations make it challenging to attribute causality in observed relationships of aerosol radiative forcing. Using correlations to infer causality can also be challenging when meteorological variability also drives both aerosol and cloud changes independently. Natural and anthropogenic aerosol perturbations fr… Show more

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Cited by 2 publications
(2 citation statements)
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“…Except in special circumstances and with stringent assumptions (e.g., Pahlow et al, 2006;Rosenfeld et al, 2016;Dawson et al, 2020), quantitative constraints on nearly all the key variables needed to characterize detailed ACI are beyond the capabilities of existing and currently planned space-based remote-sensing instruments. Nevertheless, satellite observations of well-defined aerosol sources such as ship tracks, industrial point sources of pollution, wildfire smoke and volcanic plumes, represent "natural laboratories" that have proven particularly useful in studying ACI, because the unaffected surroundings provide a control for the confounding factors associated with meteorology, at least to first order (Christensen et al, 2022). Also, the large datasets obtained from space can support fine-scale stratification of meteorological conditions, allowing the aerosol effects on clouds to be isolated statistically in some cases (e.g., Zamora & Kahn, 2020).…”
Section: Observationsmentioning
confidence: 99%
“…Except in special circumstances and with stringent assumptions (e.g., Pahlow et al, 2006;Rosenfeld et al, 2016;Dawson et al, 2020), quantitative constraints on nearly all the key variables needed to characterize detailed ACI are beyond the capabilities of existing and currently planned space-based remote-sensing instruments. Nevertheless, satellite observations of well-defined aerosol sources such as ship tracks, industrial point sources of pollution, wildfire smoke and volcanic plumes, represent "natural laboratories" that have proven particularly useful in studying ACI, because the unaffected surroundings provide a control for the confounding factors associated with meteorology, at least to first order (Christensen et al, 2022). Also, the large datasets obtained from space can support fine-scale stratification of meteorological conditions, allowing the aerosol effects on clouds to be isolated statistically in some cases (e.g., Zamora & Kahn, 2020).…”
Section: Observationsmentioning
confidence: 99%
“…The latter is the focus of the present manuscript. A large volcanic eruption as a natural laboratory may help to better understand and quantify how cloud properties are modified in response to anthropogenic aerosols emissions (Inguaggiato et al, 2018;Christensen et al, 2021).…”
mentioning
confidence: 99%