fit.climate.response: fit.climate.response

In QUALYPSO: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections

fit.climate.response

Description

Fit trends for each simulation chain of an ensemble of nS projections. Each simulation chain is a time series of nY time steps (e.g. number of years).

Usage

fit.climate.response(Y, args.smooth.spline, Xmat, Xfut, typeChangeVariable)

Arguments

Y	matrix of simulation chains: nS x nY
args.smooth.spline	list of arguments to be passed to smooth.spline. The names attribute of args.smooth.spline gives the argument names (see do.call).
Xmat	matrix of predictors corresponding to the projections, e.g. time or global temperature.
Xfut	values of the predictor over which the ANOVA will be applied.
typeChangeVariable	type of change variable: "abs" (absolute, value by default) or "rel" (relative)

Details

See QUALYPSO for further information on arguments indexReferenceYear and typeChangeVariable.

Value

list with the following fields for each simulation chain:

• YStar: nS x nY, change variable

• phiStar: nS x nF, climate change responses

• etaStar: nS x nY, deviation from the climate change response due to the internal variability, for Xmat

• phi: nS x nF, raw trends obtained using smooth.spline

• climateResponse: output from smooth.spline

• varInterVariability: scalar, internal variability component of the MME

Author(s)

Guillaume Evin

References

Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie (2020) Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections Using Data Augmentation. Journal of Climate. J. Climate, 32, 2423–2440. <doi:10.1175/JCLI-D-18-0606.1>.

QUALYPSO documentation built on Oct. 24, 2023, 9:07 a.m.