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Feature tracking in high–resolution regional climate data

Abstract:

In this paper, a suite of algorithms are presented which facilitate the identification and tracking of storm–indicative features, such as mean sea-level pressure minima, in high resolution regional climate data. The methods employ a hierarchical triangular mesh, which is tailored to the regional climate data by only subdividing triangles, from an initial icosahedron, within the domain of the data. The regional data is then regridded to this triangular mesh at each level of the grid, producing...

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

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Publisher copy:
10.1016/j.cageo.2016.04.015

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Institution:
University of Oxford
Department:
Oxford, SSD, SOGE, Environmental Change Institute
Publisher:
Elsevier Publisher's website
Journal:
Computers and Geosciences Journal website
Volume:
93
Pages:
36–44
Publication date:
2016
DOI:
EISSN:
1873-7803
ISSN:
0098-3004
URN:
uuid:f0687fce-ee57-472c-93e2-35935f2d763c
Source identifiers:
618480
Local pid:
pubs:618480

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