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Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
Author(s) -
Wang H.,
Xuan Y.
Publication year - 2021
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2020gl091933
Subject(s) - spatial ecology , spatial distribution , spatial variability , variation (astronomy) , extreme value theory , common spatial pattern , scale (ratio) , physical geography , sampling (signal processing) , generalized extreme value distribution , climatology , environmental science , geography , geology , cartography , statistics , mathematics , remote sensing , computer science , ecology , physics , filter (signal processing) , astrophysics , computer vision , biology
This paper presents the spatial variation of area‐orientated annual maximum daily rainfall (AMDR), represented by well‐fitted generalized extreme value (GEV) distributions, over the last century in Great Britain (GB) and Australia (AU) with respect to three spatial properties: geographic locations, sizes, and shapes of the region‐of‐interest (ROI). The results show that the spatial variation of GEV location‐scale parameters is dominated by geographic locations and area sizes. In GB, there is an eastward‐decreasing banded pattern compared with a concentrically increasing pattern from the middle to coasts in AU. The parameters tend to decrease with increased area sizes in both studied regions. Although the impact of the ROI shapes is insignificant, the round‐shaped regions usually have higher‐valued parameters than the elongated ones. These findings provide a new perspective to understand the heterogeneity of extreme rainfall distribution over space driven by the complex interactions between climate, geographical features, and the practical sampling approaches.