A nonparametric wet/dry spell model for resampling daily precipitation

Publication Status is "Submitted" Or "In Press: 
LDEO Publication: 
Publication Type: 
Year of Publication: 
1996
Editor: 
Journal Title: 
Water Resources Research
Journal Date: 
Sep
Place Published: 
Tertiary Title: 
Volume: 
32
Issue: 
9
Pages: 
2803-2823
Section / Start page: 
Publisher: 
ISBN Number: 
0043-1397
ISSN Number: 
Edition: 
Short Title: 
Accession Number: 
ISI:A1996VE90100015
LDEO Publication Number: 
Call Number: 
Abstract: 

A nonparametric wet/dry spell model is developed for resampling daily precipitation at a site. The model considers alternating sequences of wet and dry days in a given season of the year. All marginal, joint, and conditional probability densities of interest (e.g., dry spell length, wet spell length, precipitation amount, and wet spell length given prior to dry spell length) are estimated nonparametrically using at-site data and kernel probability density estimators. Procedures for the disaggregation of wet spell precipitation into daily precipitation and for the generation of synthetic sequences are proffered. An application of the model for generating synthetic precipitation traces at a site in Utah is presented.

Notes: 

Ve901Times Cited:32Cited References Count:36

DOI: