NONPARAMETRIC APPROACH TO THE DEPENDENCE OF JOINT EXTREME STATISTICS OF PRECIPITATION AT TWO LOCATIONS OWING TO THE LARGE SAMPLE SIZE OF D4PDF

Abstract

 Now that the numerous ensemble members datasets such as d4PDF are available, we can take nonparametric approaches to clear the statistical properties of even the extremes. It will be no longer a suffering issue from the extrapolation. However it doesn't mean that the extreme value theories are not needed. Simple counting the number of occurrences is insufficient but some average process will work for more reliable estimation. This paper shows the theoretical requisites for nonparametric statistics of joint extremes, and it demonstrates to quantify the simultaneous occurrence of extreme precipitations become less dependent as the locations are distant.