fit.climate.response {QUALYPSO} | R Documentation |
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: |
args.smooth.spline |
list of arguments to be passed to |
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, forXmat
-
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>.