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Uncertainty in IDF Relationships Under Climate Change by jonasrichelieu is a document available to read on EtoBox.
This document summarizes a research paper that models and quantifies uncertainties in intensity-duration-frequency (IDF) relationships for rainfall under climate change using a Bayesian approach. The paper aims to quantify uncertainties arising from the parameters of distributions fitted to historical rainfall data and from using multiple general circulation models (GCMs). A Markov chain Monte Carlo method is used to obtain the posterior distribution of parameters from Bayes
- Author
- jonasrichelieu
- Language
- EN