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Trends in precipitation extremes and return levels in the Hawaiian Islands under a changing climate
Author(s) -
Chen Ying Ruan,
Chu PaoShin
Publication year - 2014
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3950
Subject(s) - precipitation , climatology , return period , storm , environmental science , extreme value theory , geography , meteorology , geology , statistics , mathematics , archaeology , flood myth
Trends of annual maximum 1‐day precipitation in three major Hawaiian Islands are investigated using a nonparametric Mann‐Kendall method and Sen's test ( MKS ). The records are from 24 stations on Oahu, Maui, and Hawaii, and the period of analysis ranges from 1960 to 2009. To complement the MKS method, a non‐stationary three‐parameter generalized extreme value ( GEV ) distribution is also used to detect trends in precipitation extremes. Both methods demonstrate that negative trends prevail for Oahu and Maui but positive trends dominate the Island of Hawaii. The influence of the location and the scale parameter in the GEV model on different return levels (2‐year, 20‐year, and 100‐year) are explicitly described. The return‐level threshold values are found to change with time considerably. As a result, a rare storm with daily precipitation of 300 mm (20‐year return period) in 1960 has become a rather common storm event (3–5‐year return period) in 2009 on the Island of Hawaii. The opposite trend behavior in extreme events is observed on Oahu and Maui, where rainfall extremes have become less frequent in the last five decades. A positive relationship is found between the precipitation extremes and Southern Oscillation Index ( SOI ), implying greater extreme events during La Niña years and the opposite for El Niño years.