INM_CM4: INM-CM4 temperature and forcing dataset.
In eirikmn/INLA.climate: Full Bayesian analysis of radiative forcing climate model
INM_CM4 R Documentation
INM-CM4 temperature and forcing dataset.
Description
This is the INM-CM4 temperature dataset. Also includes radiative forcing data obtained by combining the INM-CM4 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.
Usage
data(INM_CM4)
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
Volodin, Evgeny & Dianskii, N. & Gusev, Anatoly. (2010). Simulating present-day climate with the INMCM4.0 coupled model of the atmospheric and oceanic general circulations. Izvestiya, Atmospheric and Oceanic Physics. 46. 414-431. 10.1134/S000143381004002X.
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(INM_CM4, package = "INLA.climate")
#Plot temperature
plot(INM_CM4$Year,INM_CM4$Temperature)
#Plot forcing
plot(INM_CM4$Year,INM_CM4$Forcing)
eirikmn/INLA.climate documentation built on Feb. 6, 2023, 11:41 a.m.
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| INM_CM4 | R Documentation |
INM-CM4 temperature and forcing dataset.
Description
This is the INM-CM4 temperature dataset. Also includes radiative forcing data obtained by combining the INM-CM4 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.
Usage
data(INM_CM4)
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
Volodin, Evgeny & Dianskii, N. & Gusev, Anatoly. (2010). Simulating present-day climate with the INMCM4.0 coupled model of the atmospheric and oceanic general circulations. Izvestiya, Atmospheric and Oceanic Physics. 46. 414-431. 10.1134/S000143381004002X.
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(INM_CM4, package = "INLA.climate") #Plot temperature plot(INM_CM4$Year,INM_CM4$Temperature) #Plot forcing plot(INM_CM4$Year,INM_CM4$Forcing)
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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