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contributor authorFerguson, Jared O.
contributor authorJablonowski, Christiane
contributor authorJohansen, Hans
contributor authorMcCorquodale, Peter
contributor authorColella, Phillip
contributor authorUllrich, Paul A.
date accessioned2017-06-09T17:34:14Z
date available2017-06-09T17:34:14Z
date copyright2016/12/01
date issued2016
identifier issn0027-0644
identifier otherams-87355.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231015
description abstractdaptive mesh refinement (AMR) is a technique that has been featured only sporadically in atmospheric science literature. This paper aims to demonstrate the utility of AMR for simulating atmospheric flows. Several test cases are implemented in a 2D shallow-water model on the sphere using the Chombo-AMR dynamical core. This high-order finite-volume model implements adaptive refinement in both space and time on a cubed-sphere grid using a mapped-multiblock mesh technique. The tests consist of the passive advection of a tracer around moving vortices, a steady-state geostrophic flow, an unsteady solid-body rotation, a gravity wave impinging on a mountain, and the interaction of binary vortices. Both static and dynamic refinements are analyzed to determine the strengths and weaknesses of AMR in both complex flows with small-scale features and large-scale smooth flows. The different test cases required different AMR criteria, such as vorticity or height-gradient based thresholds, in order to achieve the best accuracy for cost. The simulations show that the model can accurately resolve key local features without requiring global high-resolution grids. The adaptive grids are able to track features of interest reliably without inducing noise or visible distortions at the coarse?fine interfaces. Furthermore, the AMR grids keep any degradations of the large-scale smooth flows to a minimum.
publisherAmerican Meteorological Society
titleAnalyzing the Adaptive Mesh Refinement (AMR) Characteristics of a High-Order 2D Cubed-Sphere Shallow-Water Model
typeJournal Paper
journal volume144
journal issue12
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-16-0197.1
journal fristpage4641
journal lastpage4666
treeMonthly Weather Review:;2016:;volume( 144 ):;issue: 012
contenttypeFulltext


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