A comparison of low-latitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity

By M. Wyant, Chris Bretherton, Julio Bacmeister, J. Kiehl, I. Held, Ming Zhao, Stephen A. Klein, Brian J. Soden. 2006

136 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/118083d1d710feee42b072cfd9c66a4d7e482166

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In Global and Planetary Change

Citations in the corpus

An Assessment of the Primary Sources of Spread of Global Warming Estimates from Coupled Atmosphere–Ocean Models (2008, background): “Intermodel differences in cloud feedbacks have been shown to arise primarily from the response of low-level clouds (Bony and Dufresne 2005; Webb et al. 2006; Wyant et al. 2006).”
A New Moist Turbulence Parameterization in the Community Atmosphere Model (2009, background): “However, stratocumulus layers in CAM3 have been found to be significantly too shallow, with frequent surface fog where this is not observed (Wyant et al. 2006).”
Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels (2012, background): “First, Bony et al. (2004), Bony and Dufresne (2005), and Wyant et al. (2006) used 500-hPa vertical motion as a proxy for large-scale circulation to separate the response of tropical clouds to an imposed climate change into two components: a thermodynamic component due to intrinsic temperature…”
Uncertainty in Model Climate Sensitivity Traced to Representations of Cumulus Precipitation Microphysics (2016, background): “…1987; Mitchell et al. 1989; Cess et al. 1990; Senior andMitchell 1993; Bony et al. 2004; Bony and Dufresne 2005; Bony et al. 2006; Stephens 2005; Wyant et al. 2006; Webb et al. 2006; Soden and Held 2006; Dufresne and Bony 2008; Webb et al. 2013; Zelinka et al. 2013; Zhang et al. 2013; Sherwood…”
Spatial variability of liquid water path in marine low cloud : The importance of mesoscale cellular convection (2006, background): “In addition, the tropospheric subsidence rate (Wyant et al. 2006) has been shown to be a useful classifier of low cloud cover.”
Revealing differences in GCM representations of low clouds (2011, background): “The CRM contains 32 columns, spaced 4 km apart, with north–south orientation, and 30 levels (cf. Khairoutdinov et al. 2005; Wyant et al. 2006b).”
The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, result): “With this tuning, the shallow convection in AM2 tends to be dominated by the least entraining plumes and the simulated low cloud amount and condensate tend to peak at a higher level (600–800 hPa) than in observations and other models (Wyant et al., 2006).”
Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth (2012, background): “2006), 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 2”
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).”