lm.ANOVA: lm.ANOVA

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

lm.ANOVA

Description

Partition uncertainty in climate responses using an ANOVA inferred with a Bayesian approach.

Usage

lm.ANOVA(phiStar, scenAvail, listOption = NULL, namesEff)

Arguments

phiStar	matrix of climate change responses (absolute or relative changes): nS x n. n can be the number of time steps or the number of grid points
scenAvail	data.frame nS x nEff with the nEff characteristics (e.g. type of GCM) for each of the nS x nS scenarios
listOption	list of options (see QUALYPSO)
namesEff	names of the main effects

Value

list with the following fields:

• GRANDMEAN: List of estimates for the grand mean:

  • strong: MEAN: vector of length n of means

  • strong: SD: vector of length n of standard dev.

  • strong: CI: matrix n x 2 of credible intervals of probability probCI given in listOption.

• RESIDUALVAR: List of estimates for the variance of the residual errors:

  • strong: MEAN: vector of length n

• MAINEFFECT: List of estimates for the main effects. For each main effect (GCM, RCM,..), each element of the list contains a list with:

  • strong: MEAN: matrix n x nTypeEff

• CHANGEBYEFFECT: For each main effect, list of estimates for the mean change by main effect, i.e. mean change by scenario (RCP4.5). For each main effect (GCM, RCM,..), each element of the list contains a list with:

  • strong: MEAN: matrix n x nTypeEff

• EFFECTVAR: variability related to the main effects (i.e. variability between the different RCMs, GCMs,..). Matrix n x nTypeEff

• CONTRIB_EACH_EFFECT: Contribution of each individual effect to its component (percentage), e.g. what is the contribution of GCM1 to the variability related to GCMs. For each main effect (GCM, RCM,..), each element of the list contains a matrix n x nTypeEff

• listOption: list of options used to obtained these results (obtained from QUALYPSO.check.option)

• listScenarioInput: list of scenario characteristics (obtained from QUALYPSO.process.scenario)

Author(s)

Guillaume Evin

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