Description Usage Format References Examples
This is the MRI-CGCM3 temperature dataset. Also includes radiative forcing data obtained by combining the MRI-CGCM3 forcing data from Forster et al. (2013) 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 3.2.
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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.
Yukimoto, S., Adachi, Y., Hosaka, M., Sakami, T., Yoshimura, H., Hirabara, M., Tanaka, T. Y., Shindo, E., Tsujino, H., Deushi, M., Mizuta,465R., Yabu, S., Obata, A., Nakano, H., Koshiro, T., Ose, T., and Kitoh, A. 2012: A New Global Climate Model of the Meteorological ResearchInstitute: MRI-CGCM3 –Model Description and Basic Performance–, J. Meteorolog. Soc. Jpn. Ser. II, 90A, 23–64.
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
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