Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Multiscaling pulse representation of temporal rainfall

Multiscaling pulse representation of temporal rainfall We develop a pulse‐based representation of temporal rainfall with multifractal properties in the small‐scale limit. The representation combines a traditional model for the exterior process at the synoptic scale with a novel hierarchical pulse model for the event interiors. For validation we apply the model to a temporal rainfall record from Florence, Italy. Although the model has only six parameters (four for the exterior process and two for the event interiors), it accurately reproduces a wide range of empirical statistics, including the distribution of dry and wet periods, the distribution of rainfall intensity up to extreme fractiles, the spectral density, the moment scaling function K(q), and the distribution of the partition coefficients for rainfall disaggregation. The model also reproduces observed deviations of physical rainfall from perfect scaling/multiscaling behavior. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Multiscaling pulse representation of temporal rainfall

Loading next page...
 
/lp/wiley/multiscaling-pulse-representation-of-temporal-rainfall-eTbz2pnZTa

References (41)

Publisher
Wiley
Copyright
Copyright © 2002 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
DOI
10.1029/2001WR000522
Publisher site
See Article on Publisher Site

Abstract

We develop a pulse‐based representation of temporal rainfall with multifractal properties in the small‐scale limit. The representation combines a traditional model for the exterior process at the synoptic scale with a novel hierarchical pulse model for the event interiors. For validation we apply the model to a temporal rainfall record from Florence, Italy. Although the model has only six parameters (four for the exterior process and two for the event interiors), it accurately reproduces a wide range of empirical statistics, including the distribution of dry and wet periods, the distribution of rainfall intensity up to extreme fractiles, the spectral density, the moment scaling function K(q), and the distribution of the partition coefficients for rainfall disaggregation. The model also reproduces observed deviations of physical rainfall from perfect scaling/multiscaling behavior.

Journal

Water Resources ResearchWiley

Published: Aug 1, 2002

There are no references for this article.