The vertical distribution of cloud feedback in coupled ocean‐atmosphere models
By Brian J. Soden, Gabriel Vecchi. 2011
152 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5293ebe38cb097af33fe149d1bed0c8dc98b0e14
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Deep learning to represent subgrid processes in climate models (2018, background): “These low clouds are crucial for the earth’s energy balance and the cloud-radiation feedback (19).”
- The CloudSat radar‐lidar geometrical profile product (RL‐GeoProf): Updates, improvements, and selected results (2014, background): “9456 model estimates of cloud feedback [Bony and Dufresne, 2005; Medeiros et al., 2008; Soden and Vecchi, 2011].”
- Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth (2012, background): “…and recent evidence has identified the response of marine boundary layer clouds in subsidence regimes of the subtropics as primarily responsible for the intermodel spread in cloud feedback (e.g., Bony et al. 2004; Bony and Dufresne 2005; Wyant et al. 2006; Webb et al. 2006; Soden and Vecchi 2011).”
- Origins of differences in climate sensitivity, forcing and feedback in climate models (2013, background): “…UK clouds contribute to this uncertainty, but low clouds have been shown to make the largest contribution, mainly through their impact on shortwave radiation (Bony and Dufresne 2005; Webb et al. 2006; Wyant et al. 2006; Williams and Tselioudis 2007; Medeiros et al. 2008; Soden and Vecchi 2011).”
- Causes of Higher Climate Sensitivity in CMIP6 Models (2020, methodology): “Following Soden and Vecchi (2011), we separate cloud feedbacks into those due to low and non-low clouds using the Webb et al. (2006) method, which infers the cloud change responsible for the feedback by comparing the relative strengths of local longwave (LW) and SW cloud feedback components.”
- Mechanisms of marine low cloud sensitivity to idealized climate perturbations: A single‐LES exploration extending the CGILS cases (2013, result): “[97] Our findings seem broadly consistent with the subtropical low cloud feedbacks simulated by the CMIP3 suite of global climate models, which were found to mostly be positive, though with large intermodel scatter in amplitude [Bony and Dufresne, 2005; Soden and Vecchi, 2011].”