Data.UVic.par: UVic ESCM climate model ensemble parameter settings

In stilt: Separable Gaussian Process Interpolation (Emulation)

Description

Parameter settings for the UVic ESCM climate model ensemble output in Data.UVic.model

Usage

data(Data.UVic.par)

Format

The format is a list containing three variables

$par

Parameter settings for the temperature output from the UVic ESCM ensemble in Data.UVic.model. [1:3, 1:250] matrix. [row, col] = [parameter number, run number]. The columns of $par correspond to columns of $out in Data.UVic.model.

$parnames

Parameter names for rows of $par

$parunits

Parameter units for rows of $par

Details

The ensemble was run by Roman Olson at Penn State University. The ensemble varies key parameters that affect decadal- and century-scale climate response to external climate forcings: vertical ocean diffusivity, climate sensitivity, and anthropogenic sulfate aerosol scaling factor.

Source

Olson, R., R. Sriver, M. Goes, N. M. Urban, H. D. Matthews, M. Haran and K. Keller (2012): A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model. Journal of Geosphysical Research - Atmospheres, 117(D04103), doi:10.1029/2011JD016620

References

Olson, R., R. Sriver, W. Chang, M. Haran, N. M. Urban and K. Keller (2013): What is the effect of unresolved internal climate variability on climate sensitivity estimates? Journal of Geophysical Research - Atmospheres, 118, doi:10.1002/jgrd.50390

Examples

# Fit an emulator to the UVic ESCM ensemble data using all parameter and
# time covariates
data(Data.UVic.par)
data(Data.UVic.model)
## Not run: emulator(Data.UVic.par, Data.UVic.model, c(TRUE, TRUE, TRUE), TRUE, 1, 1)

stilt documentation built on May 2, 2019, 1:10 p.m.