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```
#'@title Occurrence of compound dry-hot events
#'@description Take the precipitation and temperature and extract the occurrence based on thresholds. The binary variable of the dry-hot (or dry-warm) can be obtained.
#'
#'@param mp Precipitation
#'@param mt Temperature
#'@param threp Threshold of precipitation (e.g., 20th percentile)
#'@param thret Threshold of temperature (e.g., 80th percentile)
#'@usage GetDH(mp,mt,threp,thret)
#'@return The occurrence of compound dry-hot event (0-1 binary variable)
#'@export
#'@references Hao, Z. et al. (2018). A multivariate approach for statistical assessments of compound extremes. J. Hydrol., 565: 87-94.
#'@references Hao, Z. et al. (2019). A monitoring and prediction system for compound dry and hot events. Environ. Res. Lett., 14 114034.
#'@examples
#'mp=matrix(rnorm(120,0,1),ncol=1)
#'mt=matrix(rnorm(120,0,1),ncol=1)
#'threp=20
#'thret=80
#'DH<-GetDH(mp,mt,threp,thret)
GetDH<- function(mp,mt,threp,thret)
{
n <- length(mp)
y <- matrix(data=0, nrow = n, ncol = 1)
# Define the matrix
y1 <- matrix(data=0, nrow = n, ncol = 1)
y2 <- matrix(data=0, nrow = n, ncol = 1)
# Spefify the Quantile (from percentile threp, threp)
p0 <- quantile(mp,threp/100)
t0 <- quantile(mt,thret/100)
for (i in 1:n)
{
if (mp[i]<=p0)
{
y1[i]= 1
}
if (mt[i]>t0)
{
y2[i]= 1
}
}
y <- y1*y2
return (y)
}
```

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