Dynamic flood modeling: combining Hurst and Gumbel’s approach

December 24, 2007
By

The paper (with David Sibai) on High Frequency models in hydrology just appeared, in Environmetrics.

When working on river floods—annual river levels maxima—, two approaches are usually considered: one inspired from Emil Gumbel where annual maxima are supposed to be i.i.d. and distributed according to Gumbel’s distribution, and one inspired from Edwin Hurst where annual maxima are strongly dependent, and exhibit long range memory. This paper tries to solve this apparent paradox by deriving a dynamic model inspired from financial models, which does not take into account annual maxima only but also threshold exceedances. It studies the implications of such a paradox in terms of return period—a notion valid as long as the data are i.i.d—and of extremal events.


Arthur Charpentier

Arthur Charpentier, professor in Montréal, in Actuarial Science. Former professor-assistant at ENSAE Paristech, associate professor at Ecole Polytechnique and assistant professor in Economics at Université de Rennes 1.  Graduated from ENSAE, Master in Mathematical Economics (Paris Dauphine), PhD in Mathematics (KU Leuven), and Fellow of the French Institute of Actuaries.

More Posts - Website

Follow Me:
TwitterLinkedInGoogle Plus

Print This Post Print This Post

Posted in: Research, Publications, Students

Leave a Reply

Disclaimer

SA Creative Commons Attribution icon Creative Commons Noncommercial icon

Install R

Top site mentions

Savvy Site on Statistics

rss-vision

Research blogs