Simple scaling of extreme precipitation in North America

Innocenti, Silvia; Mailhot, Alain; Frigon, Anne

doi:https://doi.org/10.5194/hess-21-5823-2017

Articles | Volume 21, issue 11

https://doi.org/10.5194/hess-21-5823-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-5823-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 11

Research article

|

24 Nov 2017

Research article |

| 24 Nov 2017

Simple scaling of extreme precipitation in North America

Silvia Innocenti, Alain Mailhot, and Anne Frigon

Supplement

https://doi.org/10.5194/hess-21-5823-2017-supplement

Data sets

Hourly Canadian precipitation data (HCPD) and Maximum daily precipitation data (MDPD) Environment Climate Change Canada https://doi.org/10.17616/R3N012

15 min precipitation data (15PD) and hourly precipitation data (HPD), NOAA https://doi.org/10.17616/R32059

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 evidence for the influence of both local geographical characteristics and regional climatic features on rainfall scaling.