Regional estimation of rainfall intensity‐duration‐frequency curves using generalized least squares regression of partial duration series statistics

By Henrik Madsen, Peter Steen Mikkelsen, D. Rosbjerg, P. Harremoës. 2002

161 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3a1d1b4eb433a553c312fdb8d07efd1a8dd0a02c

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Citations in the corpus

Threshold detection for the generalized Pareto distribution: Review of representative methods and application to the NOAA NCDC daily rainfall database (2016, background): “…excesses above a properly selected threshold u* has attracted much attention in recent years [see e.g., Wang, 1991; Rosbjerg and Madsen, 1992, 1995; Madsen et al., 1997a, 1997b, 2002; Lang et al., 1999; Willems, 2000; Deidda and Puliga, 2006; Cooley et al., 2007; Veneziano et al., 2007; Deidda,…”
A multiple threshold method for fitting the generalized Pareto distribution to rainfall time series (2010, background): “…reason, there is much published evidence of the good capability of the GPD in describing rainfall exceedances (see e.g.,Cameron et al., 2000; Coles et al., 2003; De Michele and Salvadori, 2005; Fitzgerald, 1989; Madsen et al., 2002; Salvadori and De Michele, 2001; Van Montfort and Witter, 1986).”
Bayesian generalized least squares regression with application to log Pearson type 3 regional skew estimation (2005, background): “…to estimate the parameters of regional regression models of flood quantiles [Tasker et al., 1986, 1996; Kjeldsen and Rosbjerg, 2002; Feaster and Tasker, 2002; Law and Tasker, 2003], low-flow statistics [Tasker, 1989; Vogel and Kroll, 1990; Ludwing and Tasker, 1993; Kroll and Stedinger, 1999],…”
Developing an empirical formulae to estimate rainfall intensity in Riyadh region (2011, unknown): “Constants a , b , and m are empirical parameters depend on location, shape, and scale of the area which are obtained from area characteristics and precipitation data using logarithmic relationships (see Wang, 1996; Madsen et al., 2002; Aronica and Freni, 2005).”
Regional flood frequency analysis using Bayesian generalized least squares: a comparison between quantile and parameter regression techniques (2012, methodology): “As an alternative to the QRT, the parameters of a probability distribution can be regressed against the explanatory variables (Tasker and Stedinger, 1989; Madsen et al., 2002).”
Rainfall depth-duration-frequency curves and their uncertainties (2008, methodology): “Madsen et al. (2002) applied generalized least squares in a regional frequency analysis of rainfall to account for intersite dependence.”
Regional frequency analysis of extreme precipitation with consideration of uncertainties to update IDF curves for the city of Trondheim (2013, methodology): “Madsen et al. (2002), based 116 on partial duration series (PDS) of extreme rainfall analysis for Denmark, found that in 117 general the correlation is a decreasing function of distance and the correlation being larger for 118 larger durations.”
Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression (2011, methodology): “Following a similar approach as outlined by Madsen et al. (2002) , an estimation procedure of the sampling error variance that is nearly independent of the three AMS parameters is described below.”
Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data (2006, background): “Regionalization can thus be used to transfer knowledge from gauged to ungauged sites (GREHYS 1996; Javelle et al. 2002; Madsen et al. 2002 ).”