Low‐Cloud Feedback in CAM5‐CLUBB: Physical Mechanisms and Parameter Sensitivity Analysis
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S. Ghan | Y. Qian | V. Larson | Minghuai Wang | A. Gettelman | T. Zhou | Zhun Guo | P. Bogenschutz | M. Ovchinnikov | Haipeng Zhang | Chen Zhou | Tianjun Zhou
[1] N. McFarlane,et al. Sensitivity of Climate Simulations to the Parameterization of Cumulus Convection in the Canadian Climate Centre General Circulation Model , 1995, Data, Models and Analysis.
[2] H. Cohen. Introduction , 2018, Isis.
[3] M. Webb,et al. Interactions between Hydrological Sensitivity, Radiative Cooling, Stability, and Low-Level Cloud Amount Feedback , 2017 .
[4] Vincent E. Larson,et al. CLUBB-SILHS: A parameterization of subgrid variability in the atmosphere , 2017, 1711.03675.
[5] M. Webb,et al. Interpretation of Factors Controlling Low Cloud Cover and Low Cloud Feedback Using a Unified Predictive Index , 2017 .
[6] M. Zelinka,et al. Cloud feedback mechanisms and their representation in global climate models , 2017 .
[7] S. Bony,et al. Coupling between lower‐tropospheric convective mixing and low‐level clouds: Physical mechanisms and dependence on convection scheme , 2016, Journal of advances in modeling earth systems.
[8] M. Kimoto,et al. Lower-Tropospheric Mixing as a Constraint on Cloud Feedback in a Multiparameter Multiphysics Ensemble , 2016 .
[9] S. Bony,et al. Shallowness of tropical low clouds as a predictor of climate models’ response to warming , 2016, Climate Dynamics.
[10] Sarah M. Kang,et al. The impact of parametrized convection on cloud feedback , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[11] C. Bretherton. Insights into low-latitude cloud feedbacks from high-resolution models , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[12] S. Klein,et al. Positive tropical marine low‐cloud cover feedback inferred from cloud‐controlling factors , 2015 .
[13] Richard Neale,et al. Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5 , 2015 .
[14] S. Ghan,et al. Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM) , 2014 .
[15] S. Bony,et al. Influence of low‐cloud radiative effects on tropical circulation and precipitation , 2014 .
[16] Vincent E. Larson,et al. A sensitivity analysis of cloud properties to CLUBB parameters in the single‐column Community Atmosphere Model (SCAM5) , 2014 .
[17] S. Power,et al. The eastward shift of the Walker Circulation in response to global warming and its relationship to ENSO variability , 2014, Climate Dynamics.
[18] C. Bretherton,et al. Low cloud reduction in a greenhouse‐warmed climate: Results from Lagrangian LES of a subtropical marine cloudiness transition , 2014 .
[19] Ann M. Fridlind,et al. Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions , 2014 .
[20] R. Hemler,et al. Multivariate probability density functions with dynamics in the GFDL Atmospheric General Circulation Model: Global tests , 2014 .
[21] S. Bony,et al. Spread in model climate sensitivity traced to atmospheric convective mixing , 2014, Nature.
[22] Huan Guo. Multivariate Probability Density Functions with Dynamics in the GFDL Atmospheric General Circulation Model: Global Tests , 2014 .
[23] A. P. Siebesma,et al. CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models , 2013 .
[24] D. P. Schanen,et al. Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model , 2013 .
[25] C. Bretherton,et al. Mechanisms of marine low cloud sensitivity to idealized climate perturbations: A single‐LES exploration extending the CGILS cases , 2013 .
[26] S. Bony,et al. On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates , 2013, Climate Dynamics.
[27] C. Tebaldi,et al. Long-term Climate Change: Projections, Commitments and Irreversibility , 2013 .
[28] M. Webb,et al. Coupling between subtropical cloud feedback and the local hydrological cycle in a climate model , 2013, Climate Dynamics.
[29] Sally A. McFarlane,et al. Uncertainty quantification and parameter tuning in the CAM5 Zhang‐McFarlane convection scheme and impact of improved convection on the global circulation and climate , 2012 .
[30] D. P. Schanen,et al. Unified parameterization of the planetary boundary layer and shallow convection with a higher-order turbulence closure in the Community Atmosphere Model: single-column experiments , 2012 .
[31] S. Bony,et al. How may low‐cloud radiative properties simulated in the current climate influence low‐cloud feedbacks under global warming? , 2012 .
[32] S. Emori,et al. Using a Multiphysics Ensemble for Exploring Diversity in Cloud–Shortwave Feedback in GCMs , 2012 .
[33] Vincent E. Larson,et al. PDF Parameterization of Boundary Layer Clouds in Models with Horizontal Grid Spacings from 2 to 16 km , 2012 .
[34] G. Vecchi,et al. The vertical distribution of cloud feedback in coupled ocean‐atmosphere models , 2011 .
[35] B. Stevens,et al. Revealing differences in GCM representations of low clouds , 2011 .
[36] S. Klein,et al. Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model , 2010 .
[37] Mark D. Zelinka,et al. Why is longwave cloud feedback positive , 2010 .
[38] C. Bretherton,et al. Subtropical Low Cloud Response to a Warmer Climate in a Superparameterized Climate Model. Part I: Regime Sorting and Physical Mechanisms , 2009 .
[39] Mrinal K. Sen,et al. Error Reduction and Convergence in Climate Prediction , 2008 .
[40] G. Stephens,et al. Observed vertical structure of tropical oceanic clouds sorted in large‐scale regimes , 2008 .
[41] C. Bretherton,et al. Aquaplanets, Climate Sensitivity, and Low Clouds , 2008 .
[42] Andrew Gettelman,et al. A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests , 2008 .
[43] S. Ghan,et al. A New Two-Moment Bulk Stratiform Cloud Microphysics Scheme in the Community Atmosphere Model, Version 3 (CAM3). Part II: Single-Column and Global Results , 2008 .
[44] Brian J. Soden,et al. Quantifying Climate Feedbacks Using Radiative Kernels , 2008 .
[45] Vincent E. Larson,et al. Elucidating Model Inadequacies in a Cloud Parameterization by Use of an Ensemble-Based Calibration Framework , 2007 .
[46] C. Bretherton,et al. On the Relationship between Stratiform Low Cloud Cover and Lower-Tropospheric Stability , 2006 .
[47] I. Musat,et al. On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles , 2006 .
[48] Kuan-Man Xu,et al. Simulation of shallow cumuli and their transition to deep convective clouds by cloud‐resolving models with different third‐order turbulence closures , 2006 .
[49] S. Bony,et al. Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models , 2005 .
[50] V. Larson,et al. Using Probability Density Functions to Derive Consistent Closure Relationships among Higher-Order Moments , 2005 .
[51] Anthony J. Broccoli,et al. On the Use of Cloud Forcing to Estimate Cloud Feedback , 2004 .
[52] S. Bony,et al. On dynamic and thermodynamic components of cloud changes , 2004 .
[53] W. Cotton,et al. Small-Scale and Mesoscale Variability in Cloudy Boundary Layers: Joint Probability Density Functions , 2002 .
[54] Vincent E. Larson,et al. A PDF-Based Model for Boundary Layer Clouds. Part I: Method and Model Description , 2002 .
[55] Vincent E. Larson,et al. A PDF-Based Model for Boundary Layer Clouds. Part II: Model Results , 2002 .
[56] Dennis L. Hartmann,et al. An important constraint on tropical cloud ‐ climate feedback , 2002 .
[57] R. Caflisch. Monte Carlo and quasi-Monte Carlo methods , 1998, Acta Numerica.
[58] S. Klein,et al. The Seasonal Cycle of Low Stratiform Clouds , 1993 .
[59] John F. B. Mitchell,et al. Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models , 1990 .
[60] Z. X. Li,et al. Interpretation of Cloud-Climate Feedback as Produced by 14 Atmospheric General Circulation Models , 1989, Science.