Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models
By D. McCoy, D. Hartmann, M. Zelinka, P. Ceppi, D. Grosvenor. 2015
156 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/73e1c17d1c5732e3dc99a83dc1369ee4b9d8b9fd
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Citations in the corpus
- Cloud feedback mechanisms and their representation in global climate models (2017, unknown): “We refer the reader to Andrews et al. 43 and Kamae et al. 44 for a thorough discussion of rapid cloud adjustments in GCMs.”
- Opinion: Cloud-phase climate feedback and the importance of ice-nucleating particles (2020, background): “Current models are hugely divergent in their representation of the amounts of supercooled water (Komurcu et al., 2014; Zelinka et al., 2020; McCoy et al., 2015; McCoy et al., 2018; Cesana et al., 2015).”
- Insights from a refined decomposition of cloud feedbacks (2016, background): “All models exhibit increasing low cloud optical depth in the region of persistent mixed phase clouds over the Southern Ocean, likely due to warming-induced transitions from ice- to liquid-dominated clouds [Tsushima et al., 2006; McCoy et al., 2015; Tan et al., 2016; Ceppi et al., 2016a] and increase”
- Observations of Clouds, Aerosols, Precipitation, and Surface Radiation over the Southern Ocean: An Overview of CAPRICORN, MARCUS, MICRE, and SOCRATES (2020, background): “…CN number concentrations (diameter greater than 3 nm) during CAPRICORN I were 290 ± 170 cm−3, below typical summertime maxima (Gras and Keywood 2017; McCoy et al. 2015) and hence consistent with the seasonal cycle observed at Cape Grim, with summertime maxima of approximately 500–550 cm−3 and…”
- Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “…2002; Kuang & Hartmann, 2007; Thompson et al., 2017; Zelinka & Hartmann, 2011), positive tropical low cloud feedback (Bretherton, 2015; Klein et al., 2017), and weak negative or even positive extratropical low cloud scattering feedback (McCoy et al., 2015; Tan et al., 2016; Terai et al., 2016).”
- Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, background): “questioned due to the known systematic cloud phase bias seen in many models (McCoy et al., 2015; Tan et al., 2016).”
- The role of cloud phase in Earth's radiation budget (2017, background): “This region features unique cloud processes due to its relative remoteness from anthropogenic and natural continental aerosol sources [McCoy et al., 2015].”