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      An Extended Eddy‐Diffusivity Mass‐Flux Scheme for Unified Representation of Subgrid‐Scale Turbulence and Convection

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          Abstract

          Large‐scale weather forecasting and climate models are beginning to reach horizontal resolutions of kilometers, at which common assumptions made in existing parameterization schemes of subgrid‐scale turbulence and convection—such as that they adjust instantaneously to changes in resolved‐scale dynamics—cease to be justifiable. Additionally, the common practice of representing boundary‐layer turbulence, shallow convection, and deep convection by discontinuously different parameterizations schemes, each with its own set of parameters, has contributed to the proliferation of adjustable parameters in large‐scale models. Here we lay the theoretical foundations for an extended eddy‐diffusivity mass‐flux (EDMF) scheme that has explicit time‐dependence and memory of subgrid‐scale variables and is designed to represent all subgrid‐scale turbulence and convection, from boundary layer dynamics to deep convection, in a unified manner. Coherent up and downdrafts in the scheme are represented as prognostic plumes that interact with their environment and potentially with each other through entrainment and detrainment. The more isotropic turbulence in their environment is represented through diffusive fluxes, with diffusivities obtained from a turbulence kinetic energy budget that consistently partitions turbulence kinetic energy between plumes and environment. The cross‐sectional area of up and downdrafts satisfies a prognostic continuity equation, which allows the plumes to cover variable and arbitrarily large fractions of a large‐scale grid box and to have life cycles governed by their own internal dynamics. Relatively simple preliminary proposals for closure parameters are presented and are shown to lead to a successful simulation of shallow convection, including a time‐dependent life cycle.

          Key Points

          • An extended eddy‐diffusivity mass‐flux (EDMF) scheme is presented that is prognostic and has variable plume area fractions

          • The new EDMF scheme consistently partitions flow variables (including turbulence kinetic energy) between plumes and the environment

          • In first tests, it successfully reproduces the average condition and transient life cycles of shallow convection

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          Precipitation Characteristics in Eighteen Coupled Climate Models

          Aiguo Dai (2006)
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            The Dynamical Core, Physical Parameterizations, and Basic Simulation Characteristics of the Atmospheric Component AM3 of the GFDL Global Coupled Model CM3

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              • Record: found
              • Abstract: not found
              • Article: not found

              Stratocumulus-capped mixed layers derived from a three-dimensional model

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                Author and article information

                Contributors
                tapio@caltech.edu
                Journal
                J Adv Model Earth Syst
                J Adv Model Earth Syst
                10.1002/(ISSN)1942-2466
                JAME
                Journal of Advances in Modeling Earth Systems
                John Wiley and Sons Inc. (Hoboken )
                1942-2466
                23 March 2018
                March 2018
                : 10
                : 3 ( doiID: 10.1002/jame.v10.3 )
                : 770-800
                Affiliations
                [ 1 ] California Institute of Technology Pasadena CA USA
                [ 2 ] Department of the Geophysical Sciences University of Chicago Chicago IL USA
                [ 3 ] Jet Propulsion Laboratory Pasadena CA USA
                Author notes
                [*] [* ] Correspondence to: T. Schneider, tapio@ 123456caltech.edu
                Author information
                http://orcid.org/0000-0002-7422-3317
                http://orcid.org/0000-0002-4462-0987
                http://orcid.org/0000-0002-4538-3055
                http://orcid.org/0000-0002-9615-2476
                http://orcid.org/0000-0001-5687-2287
                Article
                JAME20550
                10.1002/2017MS001162
                5947327
                2f496a4f-7ecc-4f25-a520-381690fe1547
                © 2018. The Authors.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 01 September 2017
                : 01 February 2018
                Page count
                Figures: 8, Tables: 1, Pages: 31, Words: 16057
                Funding
                Funded by: U.S. National Science Foundation
                Award ID: CCF‐1048575
                Funded by: Swiss National Science Foundation
                Award ID: 200021_156109
                Funded by: President's and Director's Fund of Caltech and the Jet Propulsion Laboratory
                Categories
                Atmospheric Processes
                Subgrid‐scale (SGS) parameterization
                Clouds and Cloud Feedbacks
                Boundary Layer Processes
                Large Eddy Simulation
                Research Article
                Research Articles
                Custom metadata
                2.0
                jame20550
                March 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.3.8.2 mode:remove_FC converted:11.05.2018

                turbulence,convection,parameterization,eddy diffusivity/mass flux scheme,climate modeling

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