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Delaigue Olivier authored
v1.2.9.16 BUG: the X-axis of plot.OutputsModel now appears whith GR2M when the dates of the time series are not the 1st of the month
5ea0e01f
Forked from
HYCAR-Hydro / airGR
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plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea = NULL, which = "all", log_scale = FALSE, cex.axis = 1, cex.lab = 0.9, cex.leg = 0.9, lwd = 1, verbose = TRUE, ...) { OutputsModel <- x if (!inherits(OutputsModel, "GR") & !inherits(OutputsModel, "CemaNeige")) { stop("'OutputsModel' not in the correct format for default plotting") } BOOL_Dates <- FALSE if ("DatesR" %in% names(OutputsModel)) { BOOL_Dates <- TRUE } BOOL_Pobs <- FALSE if ("Precip" %in% names(OutputsModel)) { BOOL_Pobs <- TRUE } BOOL_Qsim <- FALSE if ("Qsim" %in% names(OutputsModel)) { BOOL_Qsim <- TRUE } BOOL_Qobs <- FALSE if (BOOL_Qsim & length(Qobs) == length(OutputsModel$Qsim)) { if (sum(is.na(Qobs)) != length(Qobs)) { BOOL_Qobs <- TRUE } } else if (inherits(OutputsModel, "GR")) { warning("Incorrect length of 'Qobs'. Time series of observed flow not drawn") } BOOL_Snow <- FALSE if ("CemaNeigeLayers" %in% names(OutputsModel)) { if ("SnowPack" %in% names(OutputsModel$CemaNeigeLayers[[1]])) { BOOL_Snow <- TRUE } } BOOL_Psol <- FALSE if ("CemaNeigeLayers" %in% names(OutputsModel)) { if ("Psol" %in% names(OutputsModel$CemaNeigeLayers[[1]])) { BOOL_Psol <- TRUE } } if (is.null(which)) { stop("'which' must be a vector of character") } if (!is.vector(which)) { stop("'which' must be a vector of character") } if (!is.character(which)) { stop("'which' must be a vector of character") } if (any(!which %in% c("all", "Precip", 'Temp', "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ"))) { stop("Incorrect element found in argument 'which':\nit can only contain 'all', 'Precip', 'Temp', 'SnowPack', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'") } if (all(which %in% c("Temp", "SnowPack")) & !inherits(OutputsModel, "CemaNeige")) { stop("Incorrect element found in argument 'which':\nwithout CemaNeige it can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'") } if (length(unique(which %in% c("Temp", "SnowPack"))) == 2 & !inherits(OutputsModel, "CemaNeige")) { warning("Incorrect element found in argument 'which':\nit can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'\nwithout CemaNeige 'Temp' and 'SnowPack' are not available") } if ("all" %in% which) { which <- c("Precip", "Temp", "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ") }7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140
if (!BOOL_Dates) {
stop("'OutputsModel' must contain at least 'DatesR' to allow plotting")
}
if (inherits(OutputsModel, "GR") & !BOOL_Qsim) {
stop("'OutputsModel' must contain at least 'Qsim' to allow plotting")
}
if (BOOL_Dates) {
MyRollMean1 <- function(x, n) {
return(filter(x, rep(1 / n, n), sides = 2))
}
MyRollMean2 <- function(x, n) {
return(filter(c(tail(x, n %/% 2), x, x[1:(n %/% 2)]), rep(1 / n, n), sides = 2)[(n %/% 2 + 1):(length(x) + n %/% 2)])
}
MyRollMean3 <- function(x, n) {
return(filter(x, filter = rep(1 / n, n), sides = 2, circular = TRUE))
}
BOOL_TS <- FALSE
TimeStep <- difftime(tail(OutputsModel$DatesR, 1), tail(OutputsModel$DatesR, 2), units = "secs")[[1]]
if (inherits(OutputsModel, "hourly") &
TimeStep %in% (60 * 60)) {
BOOL_TS <- TRUE
NameTS <- "hour"
plotunit <- "[mm/h]"
formatAxis <- "%m/%Y"
}
if (inherits(OutputsModel, "daily") &
TimeStep %in% (24 * 60 * 60)) {
BOOL_TS <- TRUE
NameTS <- "day"
plotunit <- "[mm/d]"
formatAxis <- "%m/%Y"
}
if (inherits(OutputsModel, "monthly") &
TimeStep %in% (c(28, 29, 30, 31) * 24 * 60 * 60)) {
BOOL_TS <- TRUE
NameTS <- "month"
plotunit <- "[mm/month]"
formatAxis <- "%m/%Y"
if (format(OutputsModel$DatesR[1L], format = "%d") != "01") {
OutputsModel$DatesR <- as.POSIXlt(format(OutputsModel$DatesR, format = "%Y-%m-01"), tz = "UTC", format = "%Y-%m-%d")
}
}
if (inherits(OutputsModel, "yearly") &
TimeStep %in% (c(365, 366) * 24 * 60 * 60)) {
BOOL_TS <- TRUE
NameTS <- "year"
plotunit <- "[mm/y]"
formatAxis <- "%Y"
}
if (!BOOL_TS) {
stop("the time step of the model inputs could not be found")
}
}
if (length(IndPeriod_Plot) == 0) {
IndPeriod_Plot <- 1:length(OutputsModel$DatesR)
}
if (inherits(OutputsModel, "CemaNeige")) {
NLayers <- length(OutputsModel$CemaNeigeLayers)
}
PsolLayerMean <- NULL
if (BOOL_Psol) {
for (iLayer in 1:NLayers) {
if (iLayer == 1) {
PsolLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$Psol / NLayers
} else {
PsolLayerMean <- PsolLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$Psol / NLayers
}
}
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}
BOOL_QobsZero <- FALSE
if (BOOL_Qobs) {
SelectQobsNotZero <- (round(Qobs[IndPeriod_Plot] , 4) != 0)
BOOL_QobsZero <- sum(!SelectQobsNotZero, na.rm = TRUE) > 0
}
BOOL_QsimZero <- FALSE
if (BOOL_Qsim) {
SelectQsimNotZero <- (round(OutputsModel$Qsim[IndPeriod_Plot], 4) != 0)
BOOL_QsimZero <- sum(!SelectQsimNotZero, na.rm = TRUE) > 0
}
if (BOOL_QobsZero & verbose) {
warning( "\t zeroes detected in 'Qobs': some plots in the log space will not be created using all time-steps")
}
if (BOOL_QsimZero & verbose) {
warning( "\t zeroes detected in 'Qsim': some plots in the log space will not be created using all time-steps")
}
BOOL_FilterZero <- TRUE
## Plots_choices
BOOLPLOT_Precip <- ( "Precip" %in% which & BOOL_Pobs )
BOOLPLOT_Temp <- ( "Temp" %in% which & BOOL_Snow )
BOOLPLOT_SnowPack <- ( "SnowPack" %in% which & BOOL_Snow )
BOOLPLOT_Flows <- ( "Flows" %in% which & (BOOL_Qsim | BOOL_Qobs) )
BOOLPLOT_Regime <- ( "Regime" %in% which & BOOL_TS & BOOL_Qsim & (NameTS %in% c("hour", "day", "month")) )
BOOLPLOT_CumFreq <- ( "CumFreq" %in% which & (BOOL_Qsim | BOOL_Qobs) & BOOL_FilterZero )
BOOLPLOT_CorQQ <- ( "CorQQ" %in% which & (BOOL_Qsim & BOOL_Qobs) & BOOL_FilterZero )
## Options
BLOC <- TRUE
if (BLOC) {
lwdk <- 1.8
line <- 2.6
bg <- NA
matlayout <- NULL
iPlot <- 0
Sum1 <- sum(c(BOOLPLOT_Precip, BOOLPLOT_SnowPack, BOOLPLOT_Flows))
Sum2 <- sum(c(BOOLPLOT_Regime, BOOLPLOT_CumFreq, BOOLPLOT_CorQQ))
if (BOOLPLOT_Precip) {
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1))
iPlot <- iPlot + 1
}
if (BOOLPLOT_Temp) {
matlayout <- rbind(matlayout, c(iPlot+1, iPlot+1, iPlot+1), c(iPlot+1, iPlot+1, iPlot+1))
iPlot <- iPlot+1
}
if (BOOLPLOT_SnowPack) {
matlayout <- rbind(matlayout, c(iPlot + 1, iPlot + 1, iPlot + 1), c(iPlot + 1, iPlot + 1, iPlot + 1))
iPlot <- iPlot + 1
}
if (BOOLPLOT_Flows) {
matlayout <- rbind(matlayout, c(iPlot + 1, iPlot + 1, iPlot + 1), c(iPlot + 1, iPlot + 1, iPlot + 1))
iPlot <- iPlot + 1
}
if ((Sum1 >= 1 & Sum2 != 0) | (Sum1 == 0 & Sum2 == 3)) {
matlayout <- rbind(matlayout, c(iPlot + 1, iPlot + 2, iPlot + 3), c(iPlot + 1, iPlot + 2, iPlot + 3))
iPlot <- iPlot + 3
}
if (Sum1 == 0 & Sum2 == 2) {
matlayout <- rbind(matlayout, c(iPlot + 1, iPlot + 2))
iPlot <- iPlot + 2
}
if (Sum1 == 0 & Sum2 == 1) {
matlayout <- rbind(matlayout, iPlot + 1)
iPlot <- iPlot + 1
}
iPlotMax <- iPlot
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# isRStudio <- Sys.getenv("RSTUDIO") == "1";
# if (!isRStudio) {
# if (Sum1 == 1 & Sum2 == 0) {width = 10; height = 05;}
# if (Sum1 == 1 & Sum2 != 0) {width = 10; height = 07;}
# if (Sum1 == 2 & Sum2 == 0) {width = 10; height = 05;}
# if (Sum1 == 2 & Sum2 != 0) {width = 10; height = 07;}
# if (Sum1 == 3 & Sum2 == 0) {width = 10; height = 07;}
# if (Sum1 == 3 & Sum2 != 0) {width = 10; height = 10;}
# if (Sum1 == 0 & Sum2 == 1) {width = 05; height = 05;}
# if (Sum1 == 0 & Sum2 == 2) {width = 10; height = 04;}
# if (Sum1 == 0 & Sum2 == 3) {width = 10; height = 03;}
# dev.new(width = width, height = height)
#}
opar <- par(no.readonly = TRUE)
on.exit(par(opar))
layout(matlayout)
Xaxis <- 1:length(IndPeriod_Plot)
if (BOOL_Dates) {
if (NameTS %in% c("hour", "day", "month")) {
Seq1 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon %in% c(0, 3, 6, 9))
Seq2 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon == 0)
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
}
if (NameTS %in% c("year")) {
Seq1 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
Seq2 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
}
}
if (!is.null(BasinArea)) {
Factor_MMH_M3S <- 60 * 60
Factor_MMD_M3S <- 60 * 60 * 24
Factor_MMM_M3S <- 60 * 60 * 24 * 365.25 / 12
Factor_MMY_M3S <- 60 * 60 * 24 * 365.25
if (NameTS == "hour" ) Factor_UNIT_M3S <- Factor_MMH_M3S
if (NameTS == "day" ) Factor_UNIT_M3S <- Factor_MMD_M3S
if (NameTS == "month") Factor_UNIT_M3S <- Factor_MMM_M3S
if (NameTS == "year" ) Factor_UNIT_M3S <- Factor_MMY_M3S
Factor_UNIT_M3S <- BasinArea / (Factor_UNIT_M3S / 1000)
}
}
kPlot <- 0
## vector of Q values for the y-axis when it is expressed in
Factor <- ifelse(!is.null(BasinArea), Factor_UNIT_M3S, 1)
seqDATA0 <- c(0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000)
seqDATA1 <- log(seqDATA0)
seqDATA2 <- exp(seqDATA1)
if (!is.null(BasinArea)) {
seqDATA1ba <- log(seqDATA0 * Factor_UNIT_M3S)
seqDATA2ba <- round(exp(seqDATA1ba), digits = 2)
}
## Precip
if (BOOLPLOT_Precip) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
ylim1 <- range(OutputsModel$Precip[IndPeriod_Plot], na.rm = TRUE)
ylim2 <- ylim1 * c(1.0, 1.1)
ylim2 <- rev(ylim2)
lwdP <- lwd * 0.7
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if (NameTS %in% c("month", "year")) {
lwdP <- lwd * 2
}
plot(Xaxis, OutputsModel$Precip[IndPeriod_Plot],
type = "h", xaxt = "n", yaxt = "n", yaxs = "i", ylim = ylim2,
col = "royalblue", lwd = lwdP * lwdk, lend = 1,
xlab = "", ylab = "", ...)
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, paste("precip.", plotunit), cex = cex.lab, adj = 1, line = line)
par(las = 0)
if (BOOL_Psol) {
legend("bottomright", legend = c("solid","liquid"),
col = c("lightblue", "royalblue"), lty = c(1, 1), lwd = c(lwd, lwd),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
par(new = TRUE)
plot(Xaxis, PsolLayerMean[IndPeriod_Plot],
type = "h", xaxt = "n", yaxt = "n", yaxs = "i", ylim = ylim2,
col = "lightblue", lwd = lwdP * lwdk, lend = 1,
xlab = "", ylab = "", ...)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
}
## Temp
if (BOOLPLOT_Temp) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
ylim1 <- c(+99999, -99999)
for(iLayer in 1:NLayers) {
ylim1[1] <- min(ylim1[1], OutputsModel$CemaNeigeLayers[[iLayer]]$Temp)
ylim1[2] <- max(ylim1[2], OutputsModel$CemaNeigeLayers[[iLayer]]$Temp)
if (iLayer == 1) {
SnowPackLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$Temp/NLayers
} else {
SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$Temp/NLayers
}
}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "n", ylim = ylim1, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers) {
lines(OutputsModel$CemaNeigeLayers[[iLayer]]$Temp[IndPeriod_Plot], lty = 3, col = "orchid", lwd = lwd * lwdk * 0.8)
}
abline(h = 0, col = "grey", lty = 2)
lines(SnowPackLayerMean[IndPeriod_Plot], type = "l", lwd = lwd * lwdk *1.0, col = "darkorchid4")
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, expression(paste("temp. [", degree, "C]"), sep = ""), padj = 0.2, line = line, cex = cex.lab)
par(las = 0)
legend("topright", legend = c("mean", "layers"), col = c("darkorchid4", "orchid"),
lty = c(1, 3), lwd = c(lwd*1.0, lwd*0.8),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
}
## SnowPack
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if (BOOLPLOT_SnowPack) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
ylim1 <- c(+99999, -99999)
for(iLayer in 1:NLayers) {
ylim1[1] <- min(ylim1[1], OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack)
ylim1[2] <- max(ylim1[2], OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack)
if (iLayer == 1) {
SnowPackLayerMean <- OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack/NLayers
} else {
SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack/NLayers
}
}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "l", ylim = ylim1, lwd = lwd * lwdk *1.2, col = "royalblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers) {
lines(OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack[IndPeriod_Plot], lty = 3, col = "royalblue", lwd = lwd * lwdk *0.8)
}
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, paste("snow pack", "[mm]"), line = line, cex = cex.lab)
par(las = 0)
legend("topright", legend = c("mean", "layers"), col = c("royalblue", "royalblue"),
lty = c(1, 3), lwd = c(lwd*1.2, lwd*0.8),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
}
## Flows
if (BOOLPLOT_Flows & log_scale) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
DATA2 <- Qobs
DATA2[!SelectQobsNotZero] <- mean(Qobs, na.rm = TRUE) / 10000
DATA2 <- log(DATA2)
DATA3 <- OutputsModel$Qsim
DATA3[!SelectQsimNotZero] <- mean(OutputsModel$Qsim, na.rm = TRUE) / 10000
DATA3 <- log(DATA3)
ylim1 <- range(DATA3[IndPeriod_Plot], na.rm = TRUE)
if (BOOL_Qobs) {
ylim1 <- range(c(ylim1, DATA2[IndPeriod_Plot]), na.rm = TRUE)
}
ylim2 <- c(ylim1[1], 1.2*ylim1[2])
plot(Xaxis, rep(NA, length(Xaxis)), type = "n", ylim = ylim2, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
txtleg <- NULL
colleg <- NULL
if (BOOL_Qobs) {
lines(Xaxis, DATA2[IndPeriod_Plot], lwd = lwd * lwdk , lty = 1, col = par("fg"))
txtleg <- c(txtleg, "observed")
colleg <- c(colleg, par("fg"))
}
if (BOOL_Qsim) {
lines(Xaxis, DATA3[IndPeriod_Plot], lwd = lwd * lwdk , lty = 1, col = "orangered")
txtleg <- c(txtleg, "simulated")
colleg <- c(colleg, "orangered")
}
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, paste("flow", plotunit), line = line, cex = cex.lab)
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par(las = 0)
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S
axis(side = 4, at = seqDATA1ba, labels = seqDATA2ba, cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 4, paste("flow", "[m3/s]"), line = line, cex = cex.lab)
par(las = 0)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwd * lwdk , bty = "o", bg = bg, box.col = bg, cex = cex.leg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
}
if (BOOLPLOT_Flows & !log_scale) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
ylim1 <- range(OutputsModel$Qsim[IndPeriod_Plot], na.rm = TRUE)
if (BOOL_Qobs) {
ylim1 <- range(c(ylim1, Qobs[IndPeriod_Plot]), na.rm = TRUE)
}
ylim2 <- c(ylim1[1], 1.2*ylim1[2])
plot(Xaxis, rep(NA, length(Xaxis)), type = "n", ylim = ylim2, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
txtleg <- NULL
colleg <- NULL
if (BOOL_Qobs) {
lines(Xaxis, Qobs[IndPeriod_Plot], lwd = lwd * lwdk , lty = 1, col = par("fg"))
txtleg <- c(txtleg, "observed")
colleg <- c(colleg, par("fg"))
}
if (BOOL_Qsim) {
lines(Xaxis, OutputsModel$Qsim[IndPeriod_Plot], lwd = lwd * lwdk , lty = 1, col = "orangered")
txtleg <- c(txtleg, "simulated")
colleg <- c(colleg, "orangered")
}
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, paste("flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S
axis(side = 4, at = pretty(ylim1*Factor)/Factor, labels = pretty(ylim1*Factor), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 4, paste("flow", "[m3/s]"), line = line, cex = cex.lab)
par(las = 0)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwd * lwdk , bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
}
## Regime
if (BOOLPLOT_Regime) {
kPlot <- kPlot + 1
mar <- c(6, 5, 1, 5)
plotunitregime <- "[mm/month]"
par(new = FALSE, mar = mar, las = 0)
## Empty plot
if ((NameTS == "hour" & length(IndPeriod_Plot) < 697) |
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(NameTS == "day" & length(IndPeriod_Plot) < 30) |
(NameTS == "month" & length(IndPeriod_Plot) < 2) |
(NameTS == "year" & length(IndPeriod_Plot) < 2)) {
plot(0, 0, type = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "", main = "", ...)
par(las = 0)
mtext(side = 1, text = "", line = line, cex = cex.lab)
par(las = 0)
text(0, 0, labels = "NO ENOUGH VALUES", col = "grey40")
par(las = 0)
txtlab <- "flow regime"
if (BOOL_Pobs) {
txtlab <- "precip. & flow regime"
}
par(las = 0)
mtext(side = 2, paste(txtlab, plotunitregime), line = line, cex = cex.lab)
par(las = 0)
} else {
## Data_formating_as_table
DataModel <- as.data.frame(matrix(as.numeric(NA), nrow = length(IndPeriod_Plot), ncol = 5))
DataModel[, 1] <- as.numeric(format(OutputsModel$DatesR[IndPeriod_Plot], format = "%Y%m%d%H"))
if (BOOL_Pobs) {
DataModel[, 2] <- OutputsModel$Precip[IndPeriod_Plot]
}
if (BOOL_Psol) {
DataModel[, 3] <- PsolLayerMean[IndPeriod_Plot]
}
if (BOOL_Qobs) {
DataModel[, 4] <- Qobs[IndPeriod_Plot]
}
if (BOOL_Qsim) {
DataModel[, 5] <- OutputsModel$Qsim[IndPeriod_Plot]
}
colnames(DataModel) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
TxtDatesDataModel <- formatC(DataModel$Dates, format = "d", width = 8, flag = "0")
## Building_of_daily_time_series_if_needed
if (NameTS == "month") {
DataDaily <- NULL
}
if (NameTS == "day") {
DataDaily <- DataModel
}
if (NameTS == "hour" ) {
DataDaily <- as.data.frame(aggregate(DataModel[, 2:5], by = list(as.numeric(substr(TxtDatesDataModel, 1, 8))), FUN = sum, na.rm = TRUE))
}
if (NameTS %in% c("hour", "day")) {
colnames(DataDaily) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
TxtDatesDataDaily <- formatC(DataDaily$Dates, format = "d", width = 8, flag = "0")
}
## Building_of_monthly_time_series_if_needed
if (NameTS == "month") {
DataMonthly <- DataModel
}
if (NameTS == "day" ) {
DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = TRUE))
}
if (NameTS == "hour" ) {
DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = TRUE))
}
colnames(DataMonthly) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
TxtDatesDataMonthly <- formatC(DataMonthly$Dates, format = "d", width = 6, flag = "0")
## Computation_of_interannual_mean_series
if (!is.null(DataDaily)) {
SeqY <- data.frame(Dates = as.numeric(format(seq(as.Date("1970-01-01", tz = "UTC"),
as.Date("1970-12-31", tz = "UTC"), "day"),
format = "%m%d")))
DataDailyInterAn <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily , 5, 8))), FUN = mean, na.rm = TRUE))
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
DataDailyInterAn <- merge(SeqY, DataDailyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
}
if (!is.null(DataMonthly)) {
561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630
SeqM <- data.frame(Dates = 1:12)
DataMonthlyInterAn <- as.data.frame(aggregate(DataMonthly[, 2:5], by = list(as.numeric(substr(TxtDatesDataMonthly, 5, 6))), FUN = mean, na.rm = TRUE))
colnames(DataMonthlyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
DataMonthlyInterAn <- merge(SeqM, DataMonthlyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
}
## Smoothing_of_daily_series_and_scale_conversion_to_make_them_become_a_monthly_regime
if (!is.null(DataDaily)) {
## Smoothing
NDaysWindow <- 30
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn$Dates,
MyRollMean3(DataDailyInterAn$Precip, NDaysWindow), MyRollMean3(DataDailyInterAn$Psol, NDaysWindow),
MyRollMean3(DataDailyInterAn$Qobs , NDaysWindow), MyRollMean3(DataDailyInterAn$Qsim, NDaysWindow)))
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
## Scale_conversion_to_make_them_become_a_monthly_regime
if (plotunitregime != "[mm/month]") {
stop("incorrect unit for regime plot")
}
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn[1], DataDailyInterAn[2:5]*30))
}
## Plot_preparation
DataPlotP <- DataMonthlyInterAn
if (!is.null(DataDaily)) {
DataPlotQ <- DataDailyInterAn
SeqX1 <- c( 1, 32, 61, 92, 122, 153, 183, 214, 245, 275, 306, 336, 366)
SeqX2 <- c( 15, 46, 75, 106, 136, 167, 197, 228, 259, 289, 320, 350)
labX <- "30-days rolling mean"
} else {
DataPlotQ <- DataMonthlyInterAn
SeqX1 <- seq(from = 0.5, to = 12.5, by = 1)
SeqX2 <- seq(from = 1 , to = 12 , by = 1)
labX <- ""
}
xLabels1 <- rep("", 13)
xLabels2 <- month.abb
ylimQ <- range(c(DataPlotQ$Qobs, DataPlotQ$Qsim), na.rm = TRUE)
if (BOOL_Pobs) {
ylimP <- c(max(DataPlotP$Precip, na.rm = TRUE), 0)
}
txtleg <- NULL
colleg <- NULL
lwdleg <- NULL
lwdP = 10
## Plot_forcings
if (BOOL_Pobs) {
plot(SeqX2[DataMonthlyInterAn$Dates], DataPlotP$Precip, type = "h",
xlim = range(SeqX1), ylim = c(3*ylimP[1], ylimP[2]), lwd = lwdP, lend = 1, lty = 1, col = "royalblue",
xlab = "", ylab = "", xaxt = "n", yaxt = "n", yaxs = "i", bty = "n", ...)
txtleg <- c(txtleg, "Ptot" )
colleg <- c(colleg, "royalblue")
lwdleg <- c(lwdleg, lwdP/3)
axis(side = 2, at = pretty(0.8*ylimP, n = 3), labels = pretty(0.8*ylimP, n = 3), col.axis = "royalblue", col.ticks = "royalblue", cex.axis = cex.axis, ...)
par(new = TRUE)
}
if (BOOL_Psol) {
plot(SeqX2, DataPlotP$Psol[DataMonthlyInterAn$Dates], type = "h", xlim = range(SeqX1),
ylim = c(3*ylimP[1], ylimP[2]), lwd = lwdP, lend = 1, lty = 1, col = "lightblue",
xlab = "", ylab = "", xaxt = "n", yaxt = "n", yaxs = "i", bty = "n", ...)
txtleg <- c(txtleg, "Psol" )
colleg <- c(colleg, "lightblue")
lwdleg <- c(lwdleg, lwdP/3)
par(new = TRUE)
}
## Plot_flows
plot(NULL, type = "n", xlim = range(SeqX1), ylim = c(ylimQ[1], 2*ylimQ[2]), xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
if (BOOL_Qobs) {
lines(1:nrow(DataPlotQ), DataPlotQ$Qobs, lwd = lwd * lwdk , lty = 1, col = par("fg") )
txtleg <- c(txtleg, "Qobs" )
colleg <- c(colleg, par("fg") )
lwdleg <- c(lwdleg, lwd)
}
631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700
if (BOOL_Qsim) {
lines(1:nrow(DataPlotQ), DataPlotQ$Qsim, lwd = lwd * lwdk , lty = 1, col = "orangered")
txtleg <- c(txtleg, "Qsim")
colleg <- c(colleg, "orangered")
lwdleg <- c(lwdleg, lwd)
}
## Axis_and_legend
axis(side = 1, at = SeqX1, tick = TRUE , labels = xLabels1, cex.axis = cex.axis, ...)
axis(side = 1, at = SeqX2, tick = FALSE, labels = xLabels2, cex.axis = cex.axis, ...)
axis(side = 2, at = pretty(ylimQ), labels = pretty(ylimQ), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 1, labX, line = line, cex = cex.lab)
par(las = 0)
posleg <- "topright"
txtlab <- "flow regime"
if (BOOL_Pobs) {
posleg <- "right"
txtlab <- "precip. & flow regime"
}
par(las = 0)
mtext(side = 2, paste(txtlab, plotunitregime), line = line, cex = cex.lab)
par(las = 0)
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S / (365.25 / 12)
axis(side = 4, at = pretty(ylimQ*Factor)/Factor, labels = pretty(ylimQ*Factor), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 4, paste("flow regime", "[m3/s]"), line = line, cex = cex.lab)
par(las = 0)
}
### posleg <- "topright"; if (BOOL_Pobs) {posleg <- "right";}
### legend(posleg, txtleg, col = colleg, lty = 1, lwd = lwdleg, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
}
}
## Cumulative_frequency
if (BOOLPLOT_CumFreq) {
kPlot <- kPlot + 1
mar <- c(6, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
xlim <- c(0, 1)
if ( BOOL_Qobs & !BOOL_Qsim) {
SelectNotZero <- SelectQobsNotZero
ylim <- range(log(Qobs[IndPeriod_Plot][SelectNotZero]), na.rm = TRUE)
}
if (!BOOL_Qobs & BOOL_Qsim) {
SelectNotZero <- SelectQsimNotZero
ylim <- range(log(OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero]), na.rm = TRUE)
}
if ( BOOL_Qobs & BOOL_Qsim) {
SelectNotZero <- SelectQobsNotZero & SelectQsimNotZero
ylim <- range(log(c(Qobs[IndPeriod_Plot][SelectNotZero], OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero])), na.rm = TRUE)
}
SelectNotZero <- ifelse(is.na(SelectNotZero), FALSE, SelectNotZero)
if (any(SelectNotZero)) {
plot(0, 0, type = "n",
xlim = xlim, ylim = ylim,
xaxt = "n", yaxt = "n",
xlab = "", ylab = "", main = "", ...)
axis(side = 1, at = pretty(xlim), labels = pretty(xlim), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 1, text = "non-exceedance prob. [-]", line = line, cex = cex.lab)
par(las = 0)
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 2, text = paste("flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
txtleg <- NULL
701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770
colleg <- NULL
if (BOOL_Qobs) {
DATA2 <- log(Qobs[IndPeriod_Plot][SelectNotZero])
SeqQuant <- seq(0, 1, by = 1/(length(DATA2)))
Quant <- as.numeric(quantile(DATA2, SeqQuant, na.rm = TRUE))
Fn <- ecdf(DATA2)
YY <- DATA2
YY <- YY[order( Fn(DATA2) )]
XX <- Fn(DATA2)
XX <- XX[order( Fn(DATA2) )]
lines(XX, YY, lwd = lwd, col = par("fg"))
txtleg <- c(txtleg, "observed")
colleg <- c(colleg, par("fg"))
}
if (BOOL_Qsim) {
DATA2 <- log(OutputsModel$Qsim[IndPeriod_Plot][SelectNotZero])
SeqQuant <- seq(0, 1, by = 1/(length(DATA2)))
Quant <- as.numeric(quantile(DATA2, SeqQuant, na.rm = TRUE))
Fn <- ecdf(DATA2)
YY <- DATA2
YY <- YY[order( Fn(DATA2) )]
XX <- Fn(DATA2)
XX <- XX[order( Fn(DATA2) )]
lines(XX, YY, lwd = lwd, col = "orangered")
txtleg <- c(txtleg, "simulated")
colleg <- c(colleg, "orangered")
}
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S
axis(side = 4, at = seqDATA1, labels = round(seqDATA2*Factor, digits = 2), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 4, paste("flow", "[m3/s]"), line = line, cex = cex.lab)
par(las = 0)
}
legend("topleft", txtleg, col = colleg, lty = 1, lwd = lwd, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
} else {
plot(0, 0, type = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "", main = "", ...)
par(las = 0)
mtext(side = 1, text = "non-exceedance prob. [-]", line = line, cex = cex.lab)
par(las = 0)
par(las = 0)
mtext(side = 2, text = paste("flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
text(0, 0, labels = "NO COMMON DATA", col = "grey40")
}
box()
}
## Correlation_QQ
if (BOOLPLOT_CorQQ) {
kPlot <- kPlot + 1
mar <- c(6, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
if (any(SelectNotZero)) {
ylim <- log(range(c(Qobs[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero], OutputsModel$Qsim[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]), na.rm = TRUE))
plot(log(Qobs[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]),
log(OutputsModel$Qsim[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero]),
type = "p", pch = 1, cex = 0.9, col = par("fg"), lwd = lwd,
xlim = ylim, ylim = ylim, xaxt = "n", yaxt = "n", xlab = "", ylab = "", ...)
abline(a = 0, b = 1, col = "royalblue", lwd = lwd)
axis(side = 1, at = seqDATA1, labels = seqDATA2, cex = cex.leg, cex.axis = cex.axis, ...)
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex = cex.leg, cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 1, paste("observed flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
par(las = 0)
mtext(side = 2, paste("simulated flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S
axis(side = 4, at = seqDATA1, labels = round(seqDATA2*Factor, digits = 2), cex.axis = cex.axis, ...)
par(las = 0)
mtext(side = 4, paste("simulated flow", "[m3/s]"), line = line, cex = cex.lab)
par(las = 0)
}
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
} else {
plot(0, 0, type = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "", ...)
par(las = 0)
mtext(side = 1, paste("observed flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
par(las = 0)
mtext(side = 2, paste("simulated flow", plotunit), line = line, cex = cex.lab)
par(las = 0)
text(0, 0, labels = "NO COMMON DATA", col = "grey40")
}
box()
}
## Empty_plots
while (kPlot < iPlotMax) {
kPlot <- kPlot + 1
par(new = FALSE)
plot(0, 0, type = "n", xlab = "", ylab = "", axes = FALSE, ...)
}
## Restoring_layout_options
layout(1)
}