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The Hurst Exponent of Precipitation

Authors: Jamal Munshi;

The Hurst Exponent of Precipitation

Abstract

Rescaled range analysis of precipitation in the sample period 1893-2014 for ten USHCN stations in five states of the USA does not provide evidence of dependence, long term memory, or persistence in the time series. All of the observed Hurst exponents of precipitation are indicative of Gaussian randomness. Therefore, multi-decadal and non-periodic drought and flood events observed at some of these stations are more likely to be irregular cyclical phenomena of nature than the random effects of persistence and long term memory in the data.

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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!
10
Average
Average
Top 10%
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