A PDF-Based Model for Boundary Layer Clouds. Part I: Method and Model Description

By J. Golaz, V. Larson, William Cotton. 2002

537 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bf120ecafffc305ca908d7f90d8a5f9833d72c2e

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Citations in the corpus

Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model (2018, background): “This includes a simplified third-order turbulence closure parameterization (CLUBB; Cloud Layers Unified By Binormals; Golaz et al., 2002; Larson, 2017; Larson & Golaz, 2005) that unifies the treatment of planetary boundary layer turbulence (PBL), shallow convection, and cloud macrophysics to remove…”
A PDF-Based Model for Boundary Layer Clouds. Part II: Model Results (2002, background): “The PDF is selected from the underlying family of PDFs based on the values of the turbulent moments (Golaz et al. 2002).”
A New Moist Turbulence Parameterization in the Community Atmosphere Model (2009, background): “Unlike in ‘‘unified’’ parameterizations of moist turbulence and cumulus convection (e.g., Lappen and Randall 2001; Golaz et al. 2002), the tacit assumption is that such ‘‘moist up, dry down’’ turbulence can adequately be handled by a separate cumulus parameterization rather than UWMT.”
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution (2019, background): “It features the Zhang-McFarlane (ZM; Neale et al., 2008; Richter & Rasch, 2008; Zhang & McFarlane, 1995) deep convection scheme and the Cloud-Layers Unified by Binormals (CLUBB; Golaz et al., 2002; Larson, 2017; Larson & Golaz, 2005) for macrophysics, turbulence, and shallow convection.”
An Evaluation of the Large‐Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models (2020, background): “A major change is that the boundary layer, shallow convection, and cloud macrophysics are combined within the new Cloud Layers Unified By Binormals (CLUBB) scheme (Golaz et al., 2002), resulting in a more consistent representation of boundary layer turbulence (Bogenschutz et al., 2013).”
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017, methodology): “…coarse-grained, for example, by modeling the joint PDF of the relevant variables as a mixture of Gaussian kernels and generating moment equations for the modeled PDF from the governing equations [cf. Lappen and Randall, 2001a; Golaz et al., 2002; Guo et al., 2015; Firl and Randall, 2015].”
Using Probability Density Functions to Derive Consistent Closure Relationships among Higher-Order Moments (2005, methodology): “38 The scalar third moments are not needed to close the prognostic equations of Golaz et al. (2002a), but they do influence cloud properties, since cumulus clouds often reside on the tail of the scalar PDF.”
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (2019, background): “Implementation of a simplified third-order turbulence closure parameterization (CLUBB, Cloud Layers Unified By Binormals; Golaz et al., 2002; Larson, 2017; Larson & Golaz, 2005) that unifies the treatment of planetary boundary layer turbulence, shallow convection, and cloud macrophysics.”
Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model (2013, methodology): “While both EDMF and modernized HOC schemes have documented much success in simulating Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) boundary layer cases in singlecolumn models (SCMs; e.g., Pergaud et al. 2009; Golaz et al. 2002; Cheng and Xu 2008), their testing and appl”
Small-Scale and Mesoscale Variability in Cloudy Boundary Layers: Joint Probability Density Functions (2002, methodology): “Since the double delta function has been shown in prior work to be the PDF underlying mass-flux schemes, the data analysis herein hints that mass-flux simulations may be improved upon by using a parameterization built upon a more realistic PDF.”
Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function (2019, methodology): “The updated physics package includes a simplified third‐order turbulence closure parameterization (Cloud Layers Unified By Binormals) (Golaz et al., 2002; Larson, 2017; Larson&Golaz, 2005) that unifies the treatment of planetary boundary layer turbulence, shallow convection, and cloud macrophysics t”
The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, methodology): “0 which likely would negatively affect coupled model simulations of historical temperature trend in a way similar to CM3 (Golaz et al., 2013).”
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model (2019, methodology): “…clouds are parameterized with a single equation set describing the evolution of a set of probability density functions (PDFs) of fields, using the Cloud Layers Unified By Binormals (CLUBB) parameterization (Golaz et al., 2002; Larson, 2017; Larson & Golaz, 2005; Bogenshutz et al (2013)).”