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| Titel |
Multifractal parameters and extreme behaviour of high resolution rainfall time series |
| VerfasserIn |
Cong Tuan Hoang, Ioulia Tchiguirinskaia, Daniel Schertzer, Shaun Lovejoy |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250057429
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| Zusammenfassung |
| Reliability of precipitation statistics drastically depends on the quality of available data. The
measuring and recording techniques may introduce statistical biases that have been somewhat
discussed in the literature. We showed that most of the tipping-bucket time series have a
lower recording frequency than that is assumed. This leads to spurious estimates,
e.g spurious scaling breaks, which may have drastic consequences for operational
hydrology.
It is therefore essential to quantify the data quality before use. We have presented a
SERQUAL procedure which allows to do it and to extract sub-series that have the
required quality, and which can be safely used to calibrate and/or validate hydrological
models.
In this presentation, we use data selected by the SERQUAL procedure to investigate the
multifractal properties of long high-resolution rainfall series of a France database within the
framework of universal multifractals. We discuss the uncertainties of the estimates of
multifractals parameters α and C1 which characterize the intermittent behavior of rain field,
and how to reduce them. We focus on the question of multifractal phase transitions that are
associated either with sample size limitation or fat tailed probability distributions, i.e.
extreme rain behaviour. We discuss how to improve their exponent estimates and to use them
to asses hydrological impacts of climate change in the region of Ile-de-France. |
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