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

In stilt: Separable Gaussian Process Interpolation (Emulation)

UVic ESCM climate model ensemble parameter settings

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 April 11, 2025, 5:46 p.m.