ImpactMG: Impact under droughts and hot extremes

In CompoundEvents: A package for compound events modeling and assessment

Description

Use the meta-Gaussian model to construct the condtional distribuiton of the impact variable (Y) give drought and hot conditions P(Y|P,T)

Usage

ImpactMG(P,T,Y)

Arguments

P	Precipitation or drought indicator corresponding to the impact variable Y
T	Temperature or heat indicator corresponding to the impact variable Y
Y	Impact variable (e.g., Crop yield)

References

Feng, S.et al. (2019). Probabilistic evaluation of the impact of compound dry-hot events on global maize yields. Sci. Total. Environ., 689: 1228-1234.

Hao, Z. et al. (2018). A multivariate approach for statistical assessments of compound extremes. J. Hydrol., 565: 87-94.

Examples

P=matrix(rnorm(60,0,1),ncol=1)
T=matrix(rnorm(60,0,1),ncol=1)
Y=matrix(rnorm(60,0,1),ncol=1)
ImpactMG(P,T,Y)

CompoundEvents documentation built on Dec. 1, 2019, 3 p.m.