Nothing
str(forcings)
cnames <- attr(forcings, "colnames")
ni <- length(cnames)
nlayers <- 140
iTime <- match("time", cnames)
iDepth <- match("depth", cnames)
iEddy <- match("eddy", cnames)
iTemp <- match("temp", cnames)
xx <- as.data.frame(matrix(forcings, ncol=ni))
colnames(xx) <- cnames
depth <- forcings[, iDepth + (0:(nlayers - 1) * ni)]
eddy <- forcings[, iEddy + (0:(nlayers - 1) * ni)]
temp <- forcings[, iTemp + (0:(nlayers - 1) * ni)]
time <- forcings[, iTime + (0:(nlayers - 1) * ni)]
summary(eddy)
matplot(forcings[,1], depth, type="l")
matplot(forcings[,1], temp, type="l")
matplot(forcings[,1], eddy, type="l")
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