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Data for: Description of Guam’s Extreme Rainfall Events Using Scaling Invariant Properties for Climate Change Assessment

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NIAID Data Ecosystem2026-03-13 收录
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Severe coastal erosion and flooding caused by extreme weather events threaten coral reefs and shallow coastal ecosystems. Because more intense and frequent extreme storms and subsequent floods are expected with climate change conditions, various hazard mitigation programs necessitate the understanding of current extreme rainfall characteristics over a given region. In this study, the scaling-GEV method is suggested to describe the regional patterns of extreme rainfalls, as well as to estimate sub-daily and sub-hourly AMPs using only measured daily AMPs. AMPs at these stations exhibit simple scaling behavior within two different time frames: (1) from 15 minutes to 45 minutes; and (2) from 45 minutes to 24 hours. The comparison study has indicated that the temporal downscaling model based on S3NCM is able to estimate accurately the observed quantiles using only daily AMPs. A new regional extreme rainfall analysis approach based on the scaling exponents is introduced in this study. Result shows distinct extreme rainfall patterns over Guam. Moreover, the numerical and graphical analyses identify that the typhoon brings on average about 3% of increase in daily AMPs on Guam.
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2021-11-09
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