CNRMCM5 | R Documentation |
This is the CNRMCM5 temperature dataset. Also includes radiative forcing data obtained by combining the CNRMCM5 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 3.7.
data(CNRMCM5)
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.
Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D. et al. Clim Dyn (2013) 40: 2091. https://doi.org/10.1007/s00382-011-1259-y
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(CNRMCM5, package = "INLA.climate") #Plot temperature plot(CNRMCM5$Year,CNRMCM5$Temperature) #Plot forcing plot(CNRMCM5$Year,CNRMCM5$Forcing)
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