MIROC_ESM: MIROC_ESM temperature and forcing dataset.

In eirikmn/INLA.climate.test: Full Bayesian analysis of radiative forcing climate model

Description

This is the MIROC-ESM temperature dataset. Also includes radiative forcing data obtained by combining the MIROC-ESM forcing 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 4.3.

Usage

data(MIROC_ESM)

Format

The data is a list that contains these objects:

Year

Time index denoting the year of the observations.

Temperature

Annual global mean surface temperature.

Forcing

Annual adjusted radiative forcing.

References

Watanabe, Shingo & Hajima, Tomohiro & Sudo, Kengo & Nagashima, Tatsuya & Takemura, Toshihiko & Okajima, H. & Nozawa, Toru & Kawase, H. & Abe, Manabu & Yokohata, Tokuta & Ise, Toshifumi & Sato, Hisashi. (2011). MIROC-ESM: model description and basic results of CMIP5-20c3m experiments. Geoscientific Model Development Discussions. 4. 10.5194/gmdd-4-1063-2011.

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

Examples

# Load data
data(MIROC_ESM, package = "INLA.climate")

#Plot temperature
plot(MIROC_ESM$Year,MIROC_ESM$Temperature)

#Plot forcing
plot(MIROC_ESM$Year,MIROC_ESM$Forcing)

eirikmn/INLA.climate.test documentation built on Feb. 2, 2020, 9:17 a.m.