deriveSurfaceWindSpeed.CFS <- function(gds, grid, latLon, runTimePars, foreTimePars) {
message("[", Sys.time(), "] Retrieving data subset ..." )
# grid = uas
grid1 <- gds$findGridByName("v10m") # grid1 = vas
gcs <- grid$getCoordinateSystem()
dimNames <- rev(names(scanVarDimensions(grid))) # reversed!
z <- .jnew("ucar/ma2/Range", 0L, 0L)
ens <- .jnull()
aux.list <- rep(list(bquote()), length(runTimePars$runTimeRanges))
for (i in 1:length(runTimePars$runTimeRanges)) {
aux.list1 <- rep(list(bquote()), length(runTimePars$runTimeRanges[[i]]))
for (j in 1:length(runTimePars$runTimeRanges[[i]])) {
rt <- runTimePars$runTimeRanges[[i]][[j]]
ft <- foreTimePars$ForeTimeRangesList[[i]][[j]]
aux.list2 <- rep(list(bquote()), length(latLon$llRanges))
for (k in 1:length(latLon$llRanges)) {
subSet <- grid$makeSubset(rt, ens, ft, z, latLon$llRanges[[k]]$get(0L), latLon$llRanges[[k]]$get(1L))
subSet1 <- grid1$makeSubset(rt, ens, ft, z, latLon$llRanges[[k]]$get(0L), latLon$llRanges[[k]]$get(1L))
shapeArray <- rev(subSet$getShape())
dimNamesRef <- dimNames
if (latLon$pointXYindex[1] >= 0) {
rm.dim <- grep("^lon", dimNamesRef)
shapeArray <- shapeArray[-rm.dim]
dimNamesRef <- dimNamesRef[-rm.dim]
}
if (latLon$pointXYindex[2] >= 0) {
rm.dim <- grep("^lat", dimNamesRef)
shapeArray <- shapeArray[-rm.dim]
dimNamesRef <- dimNamesRef[-rm.dim]
}
# Computation of derived wss from uas and vas
uas <- subSet$readDataSlice(-1L, -1L, -1L, -1L, latLon$pointXYindex[2], latLon$pointXYindex[1])$copyTo1DJavaArray()
vas <- subSet1$readDataSlice(-1L, -1L, -1L, -1L, latLon$pointXYindex[2], latLon$pointXYindex[1])$copyTo1DJavaArray()
wss <- sqrt(uas^2 + vas^2)
uas <- NULL
vas <- NULL
aux.list2[[k]] <- array(wss, dim = shapeArray)
wss <- NULL
}
aux.list1[[j]] <- do.call("abind", c(aux.list2, along = 1))
aux.list2 <- NULL
# Daily aggregator
if (foreTimePars$aggr.d != "none") {
aux.string <- paste((foreTimePars$forecastDates[[i]][[j]])$mon, (foreTimePars$forecastDates[[i]][[j]])$mday, sep = "-")
aux.factor <- factor(aux.string, levels = unique(aux.string), ordered = TRUE)
mar <- grep("^time", dimNamesRef, invert = TRUE)
aux.list1[[j]] <- apply(aux.list1[[j]], mar, function(x) {
tapply(x, INDEX = aux.factor, FUN = foreTimePars$aggr.d, na.rm = TRUE)
})
dimNamesRef <- c("time", dimNamesRef[mar])
# Convert dates to daily:
nhours <- length(aux.factor) / nlevels(aux.factor)
foreTimePars$forecastDates[[i]][[j]] <- foreTimePars$forecastDates[[i]][[j]][seq(1, by = nhours, length.out = nlevels(aux.factor))]
}
# Monthly aggregator
if (foreTimePars$aggr.m != "none") {
mes <- (foreTimePars$forecastDates[[i]][[j]])$mon
mes <- factor(mes, levels = unique(mes), ordered = TRUE)
day <- (foreTimePars$forecastDates[[i]][[j]])$mday
mar <- grep("^time", dimNamesRef, invert = TRUE)
aux.list1[[j]] <- apply(aux.list1[[j]], MARGIN = mar, FUN = function(x) {
tapply(x, INDEX = mes, FUN = foreTimePars$aggr.m)
})
dimNamesRef <- if (length(unique(mes)) > 1) {
c("time", dimNamesRef[mar])
} else {
dimNamesRef[mar]
}
foreTimePars$forecastDates[[i]][[j]] <- foreTimePars$forecastDates[[i]][[j]][which(day == 1)]
}
}
if (foreTimePars$aggr.m != "none") {
if (length(unique(mes)) > 1) {
aux.list[[i]] <- do.call("abind", c(aux.list1, along = grep("^time", dimNamesRef)))
} else {
aux.list[[i]] <- do.call("abind", c(aux.list1, along = -1L))
dimNamesRef <- c("time", dimNamesRef)
}
} else {
aux.list[[i]] <- do.call("abind", c(aux.list1, along = grep("^time", dimNamesRef)))
}
aux.list1 <- NULL
}
mdArray <- do.call("abind", aux.list)
aux.list <- NULL
if (any(dim(mdArray) == 1)) {
dimNames <- dimNamesRef[-which(dim(mdArray) == 1)]
mdArray <- drop(mdArray)
} else {
dimNames <- dimNamesRef
}
if ("runtime" %in% dimNames) {
dimNames <- gsub("runtime", "member", dimNames)
}
dimNames <- gsub("^time.*", "time", dimNames)
mdArray <- unname(mdArray)
attr(mdArray, "dimensions") <- dimNames
# Date adjustment
foreTimePars$forecastDates <- adjustDates.forecast(foreTimePars)
return(list("mdArray" = mdArray, "foreTimePars" = foreTimePars))
}
# End
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