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Atmospheric Science Letters
Article . 2013 . Peer-reviewed
License: CC BY
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Atmospheric Science Letters
Article
License: CC BY
Data sources: UnpayWall
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Performance of the cut‐cell method of representing orography in idealized simulations

Authors: Good, B; Gadian, A; Lock, S-J; Ross, A;

Performance of the cut‐cell method of representing orography in idealized simulations

Abstract

AbstractSeveral tests of a model with a cut‐cell representation of orography are presented: a resting atmosphere test, advection across a hill and a warm rising bubble over hills with different gradients. The tests are compared with results from terrain‐following models. Results indicate that errors associated with terrain‐following coordinates are reduced, in some cases greatly reduced, with the cut‐cell approach. In a resting atmosphere, the cut‐cell approach does not generate flow around an isolated hill however steep the terrain. Relative errors in a rising bubble test are an order of magnitude smaller than terrain‐following simulations.

Country
United Kingdom
Keywords

high resolution, numerical methods, idealized simulations, finite volume, orography, cut-cell

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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