Observational and Model Evidence for Positive Low-Level Cloud Feedback
By Amy C. Clement, R. Burgman, J. Norris. Science, 2009
389 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/0bbba16761eb8909f4f9a6c8d869b700b4b68d5c
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Citations in the corpus
- Variations in Cloud Cover and Cloud Types over the Ocean from Surface Observations, 1954-2008 (2011, background): “Clement et al. (2009) showed that lower LTS goes with higher SST in the northeast Pacific, concluding that total cloud cover is reduced when SST warmed.”
- The South Pacific Meridional Mode: A Mechanism for ENSO-like Variability (2014, background): “4c) [see Clement et al. (2009) for an analysis of the differences in regional cloud feedback].”
- Advances in Understanding Top-of-Atmosphere Radiation Variability from Satellite Observations (2012, background): “Keywords Radiation budget Clouds Climate variability”
- Origins of differences in climate sensitivity, forcing and feedback in climate models (2013, background): “Clement et al. (2009). We identify a number of cases where individual models show unusually strong forcings and feedbacks compared to other members of their respective ensembles. This should not in itself give us reason to doubt the credibility of these models, as such models may include some key ph”
- Observational Evidence That Enhanced Subsidence Reduces Subtropical Marine Boundary Layer Cloudiness (2013, methodology): “Clement et al. (2009) found strong positive correlations between low-level cloud fraction and LTS and pressure vertical velocity at 500hPa over interannual and decadal time scales over the northeast Pacific.”
- Interpretation of the positive low-cloud feedback predicted by a climate model under global warming (2013, background): “The relative credibility of the different low-cloud feedbacks predicted by climate models has not been firmly established so far, although an observational study combined with an analysis of model simulations suggests some evidence for a positive low-level cloud feedback (Clement et al. 2009).”
- On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting (2011, background): “Indeed, where observations have been used successfully to constrain model response (Hall and Qu 2006; Clement et al. 2009) statistical metrics have been bolstered by physical arguments.”
- Combining satellite data and models to estimate cloud radiative effect at the surface and in the atmosphere (2011, methodology): “To assess cloud climate feedbacks, in addition to measuring cloud properties and assessing their representation by models, it is also informative to consider how cloud radiative effect changes with time (e.g. Wielicki et al., 2002; Clement et al., 2009; Dessler, 2010).”
- The albedo of Earth (2015, neutral): “Reductions in re fl ected sunlight related to reduced low cloud amount in global warming simulations [ Clement et al ., 2009] produce a positive feedback, while increases in cloud water content with warming is a form of negative feedback [ Paltridge , 1980; Sommerville and Remer , 1984].”