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contributor authorLauritzen, Peter Hjort
contributor authorTaylor, Mark A.
contributor authorOverfelt, James
contributor authorUllrich, Paul A.
contributor authorNair, Ramachandran D.
contributor authorGoldhaber, Steve
contributor authorKelly, Rory
date accessioned2017-06-09T17:34:24Z
date available2017-06-09T17:34:24Z
date copyright2017/03/01
date issued2016
identifier issn0027-0644
identifier otherams-87387.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231050
description abstractn algorithm to consistently couple a conservative semi-Lagrangian finite-volume transport scheme with a spectral element (SE) dynamical core is presented. The semi-Lagrangian finite-volume scheme is the Conservative Semi-Lagrangian Multitracer (CSLAM), and the SE dynamical core is the National Center for Atmospheric Research (NCAR)?s Community Atmosphere Model?Spectral Elements (CAM-SE). The primary motivation for coupling CSLAM with CAM-SE is to accelerate tracer transport for multitracer applications. The coupling algorithm result is an inherently mass-conservative, shape-preserving, and consistent (for a constant mixing ratio, the CSLAM solution reduces to the SE solution for air mass) transport that is efficient and accurate. This is achieved by first deriving formulas for diagnosing SE airmass flux through the CSLAM control volume faces. Thereafter, the upstream Lagrangian CSLAM areas are iteratively perturbed to match the diagnosed SE airmass flux, resulting in an equivalent upstream Lagrangian grid that spans the sphere without gaps or overlaps (without using an expensive search algorithm). This new CSLAM algorithm is not specific to airmass fluxes provided by CAM-SE but applies to any airmass fluxes that satisfy the Lipshitz criterion and for which the Courant number is less than one.
publisherAmerican Meteorological Society
titleCAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics
typeJournal Paper
journal volume145
journal issue3
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-16-0258.1
journal fristpage833
journal lastpage855
treeMonthly Weather Review:;2016:;volume( 145 ):;issue: 003
contenttypeFulltext


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