Accession Number : AD1005455

Title :   Bayesian Inference of Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design

Descriptive Note : Technical Report

Corporate Author : Army Engineer Research and Development Center Vicksburg United States

Personal Author(s) : Skahill,Brian E ; AghaKouchak,Amir ; Cheng,Linyin ; Byrd,Aaron ; Kanney,Joseph

Full Text :

Report Date : 01 Mar 2016

Pagination or Media Count : 20

Abstract : The purpose of this document is to demonstrate the application of Bayesian Markov Chain Monte Carlo (MCMC) simulation as a formal probabilistic-based means by which to develop local precipitation Intensity-Duration-Frequency (IDF) curves using historical rainfall time series data collected for a given surface network station, including the treatment of a nonstationary climate condition. This objective will be accomplished by independently revisiting parts of an example originally profiled by Cheng and AghaKouchak (2014). This Technical Note will conclude with a brief discussion of some potential opportunities for future U.S. Army Corps of Engineers (USACE) research and development directed at extreme rainfall frequency analysis.


Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE