Articles | Volume 6, issue 5
https://doi.org/10.5194/gmd-6-1813-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-6-1813-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
29 Oct 2013
Model description paper |
| 29 Oct 2013
The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator
V. E. Larson
Department of Mathematical Sciences, University of Wisconsin – Milwaukee, Milwaukee, WI, USA
D. P. Schanen
Department of Mathematical Sciences, University of Wisconsin – Milwaukee, Milwaukee, WI, USA
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Cited
18 citations as recorded by crossref.
- A PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection M. Wong & M. Ovchinnikov https://doi.org/10.1175/JAS-D-16-0146.1
- The Impact of Variable Land‐Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI‐SCALE Field Campaign J. Fast et al. https://doi.org/10.1029/2019MS001727
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador https://doi.org/10.5194/gmd-15-3447-2022
- An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB H. Song et al. https://doi.org/10.1175/JCLI-D-17-0277.1
- A Parameterization of Turbulent Dissipation and Pressure Damping Time Scales in Stably Stratified Inversions, and its Effects on Low Clouds in Global Simulations Z. Guo et al. https://doi.org/10.1029/2020MS002278
- Quadrature Methods for the Calculation of Subgrid Microphysics Moments K. Chowdhary et al. https://doi.org/10.1175/MWR-D-14-00168.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson https://doi.org/10.5194/gmd-9-413-2016
- A cloudy planetary boundary layer oscillation arising from the coupling of turbulence with precipitation in climate simulations X. Zheng et al. https://doi.org/10.1002/2017MS000993
- Evaluating and Improving a PDF Cloud Scheme Using High‐Resolution Super Large Domain Simulations P. Griewank et al. https://doi.org/10.1029/2018MS001421
- Accounting for Vertical Subgrid‐Scale Heterogeneity in Low‐Level Cloud Fraction Parameterizations J. Jouhaud et al. https://doi.org/10.1029/2018MS001379
- Parameterizing deep convection using the assumed probability density function method R. Storer et al. https://doi.org/10.5194/gmd-8-1-2015
- A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model K. Thayer-Calder et al. https://doi.org/10.5194/gmd-8-3801-2015
- Technical note: General formulation for the distribution problem – prognostic assumed probability density function (PDF) approach based on the maximum-entropy principle and the Liouville equation J. Yano et al. https://doi.org/10.5194/acp-25-9357-2025
- Coupling Warm Rain With an Eddy Diffusivity/Mass Flux Parameterization: 1. Model Description and Validation K. Suselj et al. https://doi.org/10.1029/2021MS002736
- A new subgrid-scale representation of hydrometeor fields using a multivariate PDF B. Griffin & V. Larson https://doi.org/10.5194/gmd-9-2031-2016
- Parameterizing microphysical effects on variances and covariances of moisture and heat content using a multivariate probability density function: a study with CLUBB (tag MVCS) B. Griffin & V. Larson https://doi.org/10.5194/gmd-9-4273-2016
- A multiscale modeling framework model (superparameterized CAM5) with a higher‐order turbulence closure: Model description and low‐cloud simulations M. Wang et al. https://doi.org/10.1002/2014MS000375
- Vertical overlap of probability density functions of cloud and precipitation hydrometeors M. Ovchinnikov et al. https://doi.org/10.1002/2016JD025158
18 citations as recorded by crossref.
- A PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection M. Wong & M. Ovchinnikov https://doi.org/10.1175/JAS-D-16-0146.1
- The Impact of Variable Land‐Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI‐SCALE Field Campaign J. Fast et al. https://doi.org/10.1029/2019MS001727
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador https://doi.org/10.5194/gmd-15-3447-2022
- An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB H. Song et al. https://doi.org/10.1175/JCLI-D-17-0277.1
- A Parameterization of Turbulent Dissipation and Pressure Damping Time Scales in Stably Stratified Inversions, and its Effects on Low Clouds in Global Simulations Z. Guo et al. https://doi.org/10.1029/2020MS002278
- Quadrature Methods for the Calculation of Subgrid Microphysics Moments K. Chowdhary et al. https://doi.org/10.1175/MWR-D-14-00168.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson https://doi.org/10.5194/gmd-9-413-2016
- A cloudy planetary boundary layer oscillation arising from the coupling of turbulence with precipitation in climate simulations X. Zheng et al. https://doi.org/10.1002/2017MS000993
- Evaluating and Improving a PDF Cloud Scheme Using High‐Resolution Super Large Domain Simulations P. Griewank et al. https://doi.org/10.1029/2018MS001421
- Accounting for Vertical Subgrid‐Scale Heterogeneity in Low‐Level Cloud Fraction Parameterizations J. Jouhaud et al. https://doi.org/10.1029/2018MS001379
- Parameterizing deep convection using the assumed probability density function method R. Storer et al. https://doi.org/10.5194/gmd-8-1-2015
- A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model K. Thayer-Calder et al. https://doi.org/10.5194/gmd-8-3801-2015
- Technical note: General formulation for the distribution problem – prognostic assumed probability density function (PDF) approach based on the maximum-entropy principle and the Liouville equation J. Yano et al. https://doi.org/10.5194/acp-25-9357-2025
- Coupling Warm Rain With an Eddy Diffusivity/Mass Flux Parameterization: 1. Model Description and Validation K. Suselj et al. https://doi.org/10.1029/2021MS002736
- A new subgrid-scale representation of hydrometeor fields using a multivariate PDF B. Griffin & V. Larson https://doi.org/10.5194/gmd-9-2031-2016
- Parameterizing microphysical effects on variances and covariances of moisture and heat content using a multivariate probability density function: a study with CLUBB (tag MVCS) B. Griffin & V. Larson https://doi.org/10.5194/gmd-9-4273-2016
- A multiscale modeling framework model (superparameterized CAM5) with a higher‐order turbulence closure: Model description and low‐cloud simulations M. Wang et al. https://doi.org/10.1002/2014MS000375
- Vertical overlap of probability density functions of cloud and precipitation hydrometeors M. Ovchinnikov et al. https://doi.org/10.1002/2016JD025158
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