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contributor authorMizuta, Ryo
contributor authorMurata, Akihiko
contributor authorIshii, Masayoshi
contributor authorShiogama, Hideo
contributor authorHibino, Kenshi
contributor authorMori, Nobuhito
contributor authorArakawa, Osamu
contributor authorImada, Yukiko
contributor authorYoshida, Kohei
contributor authorAoyagi, Toshinori
contributor authorKawase, Hiroaki
contributor authorMori, Masato
contributor authorOkada, Yasuko
contributor authorShimura, Tomoya
contributor authorNagatomo, Toshiharu
contributor authorIkeda, Mikiko
contributor authorEndo, Hirokazu
contributor authorNosaka, Masaya
contributor authorArai, Miki
contributor authorTakahashi, Chiharu
contributor authorTanaka, Kenji
contributor authorTakemi, Tetsuya
contributor authorTachikawa, Yasuto
contributor authorTemur, Khujanazarov
contributor authorKamae, Youichi
contributor authorWatanabe, Masahiro
contributor authorSasaki, Hidetaka
contributor authorKitoh, Akio
contributor authorTakayabu, Izuru
contributor authorNakakita, Eiichi
contributor authorKimoto, Masahide
date accessioned2017-06-09T16:46:34Z
date available2017-06-09T16:46:34Z
date issued2016
identifier issn0003-0007
identifier otherams-73863.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216024
description abstractn unprecedentedly large ensemble of climate simulations with a 60 km atmospheric general circulation model and dynamical downscaling with a 20 km regional climate model have been performed to obtain probabilistic future projections of low-frequency local-scale events. The climate of the latter half of the 20th century, the climate 4 K warmer than the pre-industrial climate, and the climate of the latter half of the 20th century without historical trends associated with the anthropogenic effect are simulated respectively more than 5000 years. From large ensemble simulations, probabilistic future changes in extreme events are available directly without using any statistical models. The atmospheric models are highly skillful in representing localized extreme events such as heavy precipitation and tropical cyclones. Moreover, mean climate changes in the models are consistent with those in the CMIP5 model ensembles. Therefore, the results enable the assessment of probabilistic change in localized severe events that have large uncertainty from internal variability. The simulation outputs are open to the public as a database called ?Database for Policy Decision-Making for Future Climate Change? (d4PDF), which is intended to be utilized for impact assessment studies and adaptation planning for global warming.
publisherAmerican Meteorological Society
titleOver 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models
typeJournal Paper
journal volume098
journal issue007
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-16-0099.1
journal fristpage1383
journal lastpage1398
treeBulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 007
contenttypeFulltext


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