ImpactMG {CompoundEvents} | R Documentation |
Use the meta-Gaussian model to construct the condtional distribuiton of the impact variable (Y) give drought and hot conditions P(Y|P,T).
ImpactMG(P,T,Y,u0)
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) |
u0 |
Initial condition of (P,T) |
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.
P=matrix(rnorm(60,0,1),ncol=1) T=matrix(rnorm(60,0,1),ncol=1) Y=matrix(rnorm(60,0,1),ncol=1) u0=c(-1.2,1.2) # Speficify the compound dry-hot condition ImpactMG(P,T,Y,u0)