GCM intercomparison of global cloud regimes: present-day evaluation and climate change response

By K. Williams, G. Tselioudis. 2007

148 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ae24f493fed5ba9cede11c8e5805e9dc00fc3522

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. M. Zelinka
2. Stephen A. Klein
3. M. Webb
4. Bjorn Stevens
5. D. Hartmann
6. K. Williams
7. J. Gregory
8. G. Tselioudis

In Global and Planetary Change

1. Stephen A. Klein
2. M. Zelinka
3. M. Webb
4. Bjorn Stevens
5. D. Hartmann
6. K. Williams
7. J. Gregory
8. G. Tselioudis

Citations in the corpus

• Major Characteristics of Southern Ocean Cloud Regimes and Their Effects on the Energy Budget (2011, background): “This constitutes an important finding, as many cloud evaluations studies based on ISCCP data (e.g., Zhang et al. 2005; Williams and Tselioudis 2007) have noted that GCMs tend to produce too little midlevel cloud.”
• Revealing differences in GCM representations of low clouds (2011, background): “Second is to define regimes as a function of the structure of the clouds themselves (e.g., Jakob and Tselioudis 2003; Williams and Tselioudis 2007).”
• Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels (2012, background): “Williams and Webb (2009) have also noted that among the ten models they analyzed, the MPI ECHAM5 model’s histogram has the largest Euclidean distance to ISCCP observations in several cloud regimes.”
• A quantitative performance assessment of cloud regimes in climate models (2009, methodology): “Williams and Tselioudis (2007) (hereafter WT07) apply the clustering of the full s-CTP histograms of cloud amount to comparable ISCCP simulator data (Webb et al. 2001; Klein and Jakob 1999; http://gcss-dime.giss.nasa.gov/simulator.”
• 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).”