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Probabilistic tail dependence of intense precipitation on spatiotemporal scale in observations, reanalyses, and GCMs

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Nicholas R. Cavanaugh, and Alexander Gershunov, Probabilistic tail dependence of intense precipitation on spatiotemporal scale in observations, reanalyses, and GCMs: Climate Dynamics, v. 45, iss. 11-12.

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Abstract (from http://link.springer.com/article/10.1007%2Fs00382-015-2517-1): Daily precipitation variability as observed from weather stations is heavy tailed at most locations around the world. It is thought that diversity in precipitation-causing weather events is fundamental in producing heavy-tailed distributions, and it arises from theory that at least one of the precipitation types contributing to a heavy-tailed climatological record must also be heavy-tailed. Precipitation is a multi-scale phenomenon with a rich spatial structure and short decorrelation length and timescales; the spatiotemporal scale at which precipitation is observed is thus an important factor when considering its statistics and extremes. In this study, we [...]

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  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC

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Drought, Fire and Extreme Weather
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journalClimate Dynamics
parts
typestartPage
value2965
typeendPage
value2975
typedoi
value10.1007/s00382-015-2517-1
typevolume
value45
typeissue
value11-12
typeissn
value0930-7575

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