MPI_ESM_LR: MPI-ESM-LR temperature and forcing dataset.
In eirikmn/INLA.climate.test: Full Bayesian analysis of radiative forcing climate model
Description
Usage
Format
References
Examples
Description
This is the MPI-ESM-LR temperature dataset. Also includes radiative forcing data obtained by combining the MPI-ESM-LR 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 4.1.
Usage
1
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
Giorgetta, M. A., et al. ( 2013), Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5, 572– 597, doi:10.1002/jame.20038.
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
1
2
3
4
5
6
7
8
# Load data
data(MPI_ESM_LR, package = "INLA.climate")
#Plot temperature
plot(MPI_ESM_LR$Year,MPI_ESM_LR$Temperature)
#Plot forcing
plot(MPI_ESM_LR$Year,MPI_ESM_LR$Forcing)
eirikmn/INLA.climate.test documentation built on Feb. 2, 2020, 9:17 a.m.
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Description Usage Format References Examples
Description
This is the MPI-ESM-LR temperature dataset. Also includes radiative forcing data obtained by combining the MPI-ESM-LR 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 4.1.
Usage
1 |
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
Giorgetta, M. A., et al. ( 2013), Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5, 572– 597, doi:10.1002/jame.20038.
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
1 2 3 4 5 6 7 8 | # Load data
data(MPI_ESM_LR, package = "INLA.climate")
#Plot temperature
plot(MPI_ESM_LR$Year,MPI_ESM_LR$Temperature)
#Plot forcing
plot(MPI_ESM_LR$Year,MPI_ESM_LR$Forcing)
|
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