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Multilevel Monte Carlo and improved timestepping methods in atmospheric dispersion modelling

Abstract:

A common way to simulate the transport and spread of pollutants in the atmosphere is via stochastic Lagrangian dispersion models. Mathematically, these models describe turbulent transport processes with stochastic differential equations (SDEs). The computational bottleneck is the Monte Carlo algorithm, which simulates the motion of a large number of model particles in a turbulent velocity field; for each particle, a trajectory is calculated with a numerical timestepping method. Choosing an ef...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1016/j.jcp.2017.10.035

Authors


Katsiolides, G More by this author
Muller, EH More by this author
Scheichl, R More by this author
Shardlow, T More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
St Hughs College
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Publisher:
Elsevier Publisher's website
Journal:
Journal of Computational Physics Journal website
Volume:
354
Pages:
320-343
Publication date:
2017-11-10
Acceptance date:
2017-10-20
DOI:
EISSN:
1090-2716
ISSN:
0021-9991
Pubs id:
pubs:737355
URN:
uri:34c8d95b-be55-4625-bbf6-d1e471947a81
UUID:
uuid:34c8d95b-be55-4625-bbf6-d1e471947a81
Local pid:
pubs:737355

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