Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2016-586
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
30 Nov 2016
Review status
A revision of this discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Simple Scaling of extreme precipitation in North America
Silvia Innocenti1, Alain Mailhot1, and Anne Frigon2 1Centre Eau-Terre-Environnement, INRS, 490 de la Couronne, Québec, Canada, G1K 9A9
2Consortium Ouranos, 550 Sherbrooke Ouest, Montrèal, Canada, H3A 1B9
Abstract. Extreme precipitation is highly variable in space and time. It is therefore important to characterize precipitation intensity distributions at several temporal and spatial scales. This is a key issue in infrastructure design and risk analysis, for which Intensity-Duration-Frequency (IDF) curves are the standard tools used for describing the relationships among extreme rainfall intensities, their frequencies, and their durations. Simple Scaling (SS) models, characterizing the relationships among extreme probability distributions at several durations, represent a powerful means for improving IDF estimates. This study tested SS models for approximately 2700 stations in North America. Annual Maxima Series (AMS) over various duration intervals from 15 h to 7 days were considered. The range of validity, magnitude, and spatial variability of the estimated scaling exponents were investigated. Results provide additional guidance for the influence of both local geographical characteristics, such as topography, and regional climatic features on precipitation scaling. Generalized Extreme Value (GEV) distributions based on SS models were also examined. Results demonstrate an improvement of GEV parameter estimates, especially for the shape parameter, when data from different durations were pooled under the SS hypothesis.

Citation: Innocenti, S., Mailhot, A., and Frigon, A.: Simple Scaling of extreme precipitation in North America, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-586, in review, 2016.
Silvia Innocenti et al.
Silvia Innocenti et al.
Silvia Innocenti et al.

Viewed

Total article views: 456 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
349 85 22 456 14 6 25

Views and downloads (calculated since 30 Nov 2016)

Cumulative views and downloads (calculated since 30 Nov 2016)

Viewed (geographical distribution)

Total article views: 456 (including HTML, PDF, and XML)

Thereof 455 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 28 Jun 2017
Publications Copernicus
Download
Short summary
The relationship among the extreme rainfall probability distributions and the temporal scales of observation is characterized by the use of scaling models. The validity, the magnitude, and the spatial variability of the estimated scaling laws are evaluated for ~ 2700 stations in North America. Results demonstrate an improvement of extreme rainfall inference and provide evidences for the influence of both local geographical characteristics and regional climatic features on rainfall scaling.
The relationship among the extreme rainfall probability distributions and the temporal scales of...
Share