Author:
Ishii Masayoshi,Mori Nobuhito
Abstract
AbstractA 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.
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Reference139 articles.
1. Adachi, Y, Yukimoto S, Deushi M, Obata A, Nakano H, Tanaka TY, Hosaka M, Sakami T, Yoshimura H, Hirabara M, Shindo E, Tsujino H, Mizuta R, Yabu S, Koshiro T, Ose T, Kitoh A (2013) Basic performance of a new earth system model of the Meteorological Research Institute (MRI-ESM1). Pap Meteor Geophys 64:1–19. https://doi.org/10.2467/mripapers.64.1.
2. Adler, RF, Huffman GJ, Chang A, Ferraro R, Xie P-P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, et al (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4(6):1147–1167.
3. Al Mohit, MA, Yamashiro M, Hashimoto N, Mia M, Ide Y, Kodama M (2018) Impact assessment of a major river basin in Bangladesh on storm surge simulation. J Mar Sci Eng 6(3):99. https://doi.org/10.3390/JMSE6030099.
4. Bourke, RH, Garrett RP (1987) Sea ice thickness distribution in the Arctic Ocean. Cold Reg Sci Technol 13:259–280.
5. Collins, W, Bellouin N, Doutriaux-Boucher M, Gedney N, Halloran P, Hinton T, Hughes J, Jones C, Joshi M, Liddicoat S, et al (2011) Development and evaluation of an Earth-System model–HadGEM2. Geosci Model Dev 4(2):997–1062.
Cited by
61 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献