CONSIDERATION ON NONSTATIONARITY AND EXTREME VALUE OF PRECIPITATION BY USING AMeDAS AND d4PDF DATA

Kuzuha, Yasuhisa; Senda, Makiko

doi:10.2208/jscejhe.74.i_325

Cited by 4 publications

(1 citation statement)

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“…They demonstrated an advantage of using large ensemble for the convergence of extreme values, which cannot be validated by observed data owing to the limited number of samples. Kuzuha and Senda (2018) performed an uncertainty of extreme value analysis for 100-year precipitation around Japan.…”

Section: Assessment Of Risks Due To Heavy Precipitation and River Flomentioning

confidence: 99%

d4PDF: large-ensemble and high-resolution climate simulations for global warming risk assessment

Ishii

Mori

2020

Prog Earth Planet Sci

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A large-ensemble climate simulation database, which is known as the database for policy decision-making for future climate changes (d4PDF), was designed for climate change risk assessments. Since the completion of the first set of climate simulations in 2015, the database has been growing continuously. It contains the results of ensemble simulations conducted over a total of thousands years respectively for past and future climates using high-resolution global (60 km horizontal mesh) and regional (20 km mesh) atmospheric models. Several sets of future climate simulations are available, in which global mean surface air temperatures are forced to be higher by 4 K, 2 K, and 1.5 K relative to preindustrial levels. Nonwarming past climate simulations are incorporated in d4PDF along with the past climate simulations. The total data volume is approximately 2 petabytes. The atmospheric models satisfactorily simulate the past climate in terms of climatology, natural variations, and extreme events such as heavy precipitation and tropical cyclones. In addition, data users can obtain statistically significant changes in mean states or weather and climate extremes of interest between the past and future climates via a simple arithmetic computation without any statistical assumptions. The database is helpful in understanding future changes in climate states and in attributing past climate events to global warming. Impact assessment studies for climate changes have concurrently been performed in various research areas such as natural hazard, hydrology, civil engineering, agriculture, health, and insurance. The database has now become essential for promoting climate and risk assessment studies and for devising climate adaptation policies. Moreover, it has helped in establishing an interdisciplinary research community on global warming across Japan.

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Section: Assessment Of Risks Due To Heavy Precipitation and River Flomentioning

confidence: 99%