Our results illustrate the performance of at-site and regional GEV/PWM
flood quantile estimators in regions with different coefficients of v
ariation, degrees of regional heterogeneity, record lengths, and numbe
r of sites. Analytic approximations of bias and variance are employed.
For realistic GEV distributions and short records, the index-flood qu
antile estimator performs better than a 2-parameter GEV/PWM quantile e
stimator with a regional shape parameter, or a 3-parameter at-site GEV
/PWM quantile estimator, in both humid and especially in arid regions,
as long as the degree of regional heterogeneity is moderate. As regio
nal heterogeneity or record lengths increases, a-parameter estimators
quickly dominate. Flood frequency models that assign probabilities lar
ger than 2% to negative flows are unrealistic; experiments employing s
uch distributions provide questionable results. This appraisal general
ly demonstrates the value of regionalizing estimators of the shape of
a flood distribution, and sometimes the coefficient of variation.