ACCESS1_0 | R Documentation |
This is the ACCESS1.0 temperature dataset. This Also includes radiative forcing data obtained by combining the ACCESS1.0 forcing data and Hansen et al. (2010) such that the 18-yr moving averages are equal. The forcing slope coefficient when assuming a 1% annual increase of CO2, which is used to estimate the TCR, is 3.0.
data(ACCESS1_0)
The data is a list that contains these objects:
Time index denoting the year of the observations.
Annual global mean surface temperature.
Annual adjusted radiative forcing.
Bi, Daohua & Dix, Martin & Marsland, S. & O'Farrell, Siobhan & Rashid, Harun & Uotila, P. & Hirst, & Kowalczyk, Eva & Golebiewski, & Sullivan, Arnold & Yan, Yizhong & Hannah, & Franklin, Charmaine & Sun, Zhongmin & Vohralik, & Watterson, & Fiedler, R. & Collier, Mark & Puri, Kamal. (2012). The ACCESS coupled model: Description, control climate and evaluation. Australian Meteorological and Oceanographic Journal. 63. 41-64. 10.22499/2.6301.004.
Hansen, J. and Ruedy, R. and Sato, M. and and Lo, K. 2010: Global surface temperature change, Rev. Geophys., 48, RG4004, doi:10.1029/2010RG000345.
Forster, P. M., T. Andrews, P. Good, J. M. Gregory, L. S. Jackson, and M. Zelinka, 2013: Evaluating adjusted forcing and modelspread for historical and future scenarios in the cmip5 generation of climate models. Journal of Geophysical Research: Atmo-spheres, 118 (3), 1139–1150, doi:10.1002/jgrd.50174
# Load data data(ACCESS1_0, package = "INLA.climate") #Plot temperature plot(ACCESS1_0$Year, ACCESS1_0$Temperature) #Plot forcing plot(ACCESS1_0$Year, ACCESS1_0$Forcing)
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