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Characterizing and ...
Characterizing and visualizing spatio-temporal patterns in hourly precipitation records
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- Burauskaite-Harju, Agne (författare)
- Linköpings universitet,Statistik,Filosofiska fakulteten
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- Grimvall, Anders (författare)
- Linköpings universitet,Statistik,Filosofiska fakulteten
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- Walther, Alexander, 1976 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,Department of Earth Sciences, University of Gothenburg, Sweden
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- Achberger, Christine, 1968 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,Department of Earth Sciences, University of Gothenburg, Sweden
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- Chen, Deliang, 1961 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,Department of Earth Sciences, University of Gothenburg, Sweden
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Burauskaite-Harju, B. (författare)
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(creator_code:org_t)
- 2012-01-11
- 2012
- Engelska.
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Ingår i: Journal of Theoretical and Applied Climatology. - : Springer. - 0177-798X .- 1434-4483. ; 109:3-4, s. 333-343
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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http://liu.diva-port...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://gup.ub.gu.se...
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Abstract
Ämnesord
Stäng
- We develop new techniques to summarize and visualize spatial patterns of coincidence in weather events such as more or less heavy precipitation at a network of meteorological stations. The cosine similarity measure, which has a simple probabilistic interpretation for vectors of binary data, is generalized to characterize spatial dependencies of events that may reach different stations with a variable time lag. More specifically, we reduce such patterns into three parameters (dominant time lag, maximum cross-similarity, and window-maximum similarity) that can easily be computed for each pair of stations in a network. Furthermore, we visualize such threeparameter summaries by using colour-coded maps of dependencies to a given reference station and distance-decay plots for the entire network. Applications to hourly precipitation data from a network of 93 stations in Sweden illustrate how this method can be used to explore spatial patterns in the temporal synchrony of precipitation events.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
Nyckelord
- precipitation; hourly rainfall records; spatial dependence; time lag; cosine similarity
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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