Newer
Older
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(paste("OutputsModel not in the correct format for default plotting \n", sep = ""))
return(NULL)
}
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$Qsim)) {
if (sum(is.na(Qobs)) != length(Qobs)) {
BOOL_Qobs <- TRUE
}
unknown
committed
} else if (inherits(OutputsModel, "GR")) {
warning("Incorrect length of Qobs. Time series of observed flow not drawn.")
}
BOOL_Snow <- FALSE;
if ("CemaNeigeLayers" %in% names(OutputsModel)) { if ("SnowPack" %in% names(OutputsModel$CemaNeigeLayers[[1]])) { BOOL_Snow <- TRUE; } }
BOOL_Psol <- FALSE;
if ("CemaNeigeLayers" %in% names(OutputsModel)) { if ("Psol" %in% names(OutputsModel$CemaNeigeLayers[[1]])) { BOOL_Psol <- TRUE; } }
if ( is.null( which)) { stop("which must be a vector of character \n"); return(NULL); }
if (!is.vector( which)) { stop("which must be a vector of character \n"); return(NULL); }
if (!is.character(which)) { stop("which must be a vector of character \n"); return(NULL); }
if (any(!which %in% c("all", "Precip", 'Temp', "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ"))) {
stop("Incorrect element found in argument which:\nit can only contain 'all', 'Precip', 'Temp', 'SnowPack', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'")
return(NULL)
}
if (all(which %in% c("Temp", "SnowPack")) & !inherits(OutputsModel, "CemaNeige")) {
stop("Incorrect element found in argument which:\nwithout CemaNeige it can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'")
return(NULL)
}
if (length(unique(which %in% c("Temp", "SnowPack"))) == 2 & !inherits(OutputsModel, "CemaNeige")) {
warning("Incorrect element found in argument which:\nit can only contain 'all', 'Precip', 'Flows', 'Regime', 'CumFreq' or 'CorQQ'\nwithout CemaNeige 'Temp' and 'SnowPack' are not available")
}
if ("all" %in% which) {
which <- c("Precip", "Temp", "SnowPack", "Flows", "Regime", "CumFreq", "CorQQ")
}
if (!BOOL_Dates) {
stop(paste("OutputsModel must contain at least DatesR to allow plotting \n", sep = "")); return(NULL); }
if (inherits(OutputsModel, "GR") & !BOOL_Qsim) {
stop(paste("OutputsModel must contain at least Qsim to allow plotting \n", sep = "")); return(NULL); }
if (BOOL_Dates) {
MyRollMean1 <- function(x, n) {
return(filter(x, rep(1/n, n), sides = 2)); }
MyRollMean2 <- function(x, n) {
return(filter(c(tail(x, n%/%2), x, x[1:(n%/%2)]), rep(1/n, n), sides = 2)[(n%/%2+1):(length(x)+n%/%2)]); }
MyRollMean3 <- function(x, n) {
return(filter(x, filter = rep(1/n, n), sides = 2, circular = TRUE))
}
BOOL_TS <- FALSE;
TimeStep <- difftime(tail(OutputsModel$DatesR, 1), tail(OutputsModel$DatesR, 2), units = "secs")[[1]];
if (inherits(OutputsModel, "hourly" ) & TimeStep %in% ( 60*60)) { BOOL_TS <- TRUE; NameTS <- "hour" ; plotunit <- "[mm/h]"; formatAxis <- "%m/%Y"; }
if (inherits(OutputsModel, "daily" ) & TimeStep %in% ( 24*60*60)) { BOOL_TS <- TRUE; NameTS <- "day" ; plotunit <- "[mm/d]"; formatAxis <- "%m/%Y"; }
if (inherits(OutputsModel, "monthly") & TimeStep %in% (c(28, 29, 30, 31)*24*60*60)) { BOOL_TS <- TRUE; NameTS <- "month"; plotunit <- "[mm/month]"; formatAxis <- "%m/%Y"; }
if (inherits(OutputsModel, "yearly" ) & TimeStep %in% ( c(365, 366)*24*60*60)) { BOOL_TS <- TRUE; NameTS <- "year" ; plotunit <- "[mm/y]"; formatAxis <- "%Y" ; }
if (!BOOL_TS) { stop(paste("the time step of the model inputs could not be found \n", sep = "")); return(NULL); }
}
if (length(IndPeriod_Plot) == 0) { IndPeriod_Plot <- 1:length(OutputsModel$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]]$Psol/NLayers; } } }
BOOL_QobsZero <- FALSE; if (BOOL_Qobs) { SelectQobsNotZero <- (round(Qobs[IndPeriod_Plot] , 4) != 0); BOOL_QobsZero <- sum(!SelectQobsNotZero, na.rm = TRUE)>0; }
BOOL_QsimZero <- FALSE; if (BOOL_Qsim) { SelectQsimNotZero <- (round(OutputsModel$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 \n"); }
if (BOOL_QsimZero & verbose) { warning("\t zeroes detected in Qsim -> some plots in the log space will not be created using all time-steps \n"); }
BOOL_FilterZero <- TRUE;
unknown
committed
## 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 )
unknown
committed
## 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;
# 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)
# }
unknown
committed
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)
}
unknown
committed
## Precip
if (BOOLPLOT_Precip) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar, las = 0)
ylim1 <- range(OutputsModel$Precip[IndPeriod_Plot], na.rm = TRUE)
ylim2 <- ylim1 * c(1.0, 1.1)
ylim2 <- rev(ylim2)
lwdP <- lwd * 0.7
if (NameTS %in% c("month", "year")) {
lwdP <- lwd * 2
}
plot(Xaxis, OutputsModel$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, paste0("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, ...)
}
}
unknown
committed
## 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; }
}
unknown
committed
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, ...); }
}
unknown
committed
## SnowPack
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, paste0("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, ...); }
}
unknown
committed
## 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]);
unknown
committed
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, paste0("flow ", plotunit), line = line, cex = cex.lab); 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, paste0("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$Qsim[IndPeriod_Plot], na.rm = TRUE);
if (BOOL_Qobs) { ylim1 <- range(c(ylim1, Qobs[IndPeriod_Plot]), na.rm = TRUE); }
ylim2 <- c(ylim1[1], 1.2*ylim1[2]);
unknown
committed
plot(Xaxis, rep(NA, length(Xaxis)), type = "n", ylim = ylim2, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...);
txtleg <- NULL; colleg <- NULL;
if (BOOL_Qobs) { lines(Xaxis, Qobs[IndPeriod_Plot], lwd = lwd * lwdk , lty = 1, col = par("fg")); txtleg <- c(txtleg, "observed"); colleg <- c(colleg, par("fg")); }
if (BOOL_Qsim) { lines(Xaxis, OutputsModel$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, sep = " "), 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]", sep = " "), 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()
}
unknown
committed
## Regime
if (BOOLPLOT_Regime) {
unknown
committed
kPlot <- kPlot+1; mar <- c(6, 5, 1, 5); plotunitregime <- "[mm/month]"
par(new = FALSE, mar = mar, las = 0)
unknown
committed
## Empty plot
if ((NameTS == "hour" & length(IndPeriod_Plot) < 697) |
(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 {
unknown
committed
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
## 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 = T)); }
if (NameTS %in% c("hour", "day")) {
colnames(DataDaily) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
TxtDatesDataDaily <- formatC(DataDaily$Dates, format = "d", width = 8, flag = "0"); }
## Building_of_monthly_time_series_if_needed
if (NameTS == "month") { DataMonthly <- DataModel; }
if (NameTS == "day" ) { DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = T)); }
if (NameTS == "hour" ) { DataMonthly <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily, 1, 6))), FUN = sum, na.rm = T)); }
colnames(DataMonthly) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
TxtDatesDataMonthly <- formatC(DataMonthly$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 = T));
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
DataDailyInterAn <- merge(SeqY, DataDailyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
}
if (!is.null(DataMonthly)) {
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 = T));
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$Qsim, NDaysWindow)));
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim");
## Scale_conversion_to_make_them_become_a_monthly_regime
if (plotunitregime != "[mm/month]") { stop(paste("incorrect unit for regime plot \n", sep = "")); return(NULL); }
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn[1], DataDailyInterAn[2:5]*30));
}
## Plot_preparation
DataPlotP <- DataMonthlyInterAn;
if (!is.null(DataDaily)) {
DataPlotQ <- DataDailyInterAn;
SeqX1 <- c( 1, 32, 61, 92, 122, 153, 183, 214, 245, 275, 306, 336, 366);
SeqX2 <- c( 15, 46, 75, 106, 136, 167, 197, 228, 259, 289, 320, 350);
labX <- "30-days rolling mean";
} else {
DataPlotQ <- DataMonthlyInterAn;
SeqX1 <- seq(from = 0.5, to = 12.5, by = 1);
SeqX2 <- seq(from = 1 , to = 12 , by = 1);
labX <- "";
}
xLabels1 <- rep("", 13);
xLabels2 <- month.abb
ylimQ <- range(c(DataPlotQ$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$Qobs, lwd = lwd * lwdk , lty = 1, col = par("fg") ); txtleg <- c(txtleg, "Qobs" ); colleg <- c(colleg, par("fg") ); lwdleg <- c(lwdleg, lwd); }
if (BOOL_Qsim) { lines(1:nrow(DataPlotQ), DataPlotQ$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, paste0(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, paste0("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()
}
}
unknown
committed
## 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)
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
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, "", sep = ""), line = line, cex = cex.lab); par(las = 0);
txtleg <- NULL; 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$Qsim[IndPeriod_Plot][SelectNotZero]);
SeqQuant <- seq(0, 1, by = 1/(length(DATA2))); Quant <- as.numeric(quantile(DATA2, SeqQuant, na.rm = TRUE));
Fn <- ecdf(DATA2); YY <- DATA2; YY <- YY[order( Fn(DATA2) )]; XX <- Fn(DATA2); XX <- XX[order( Fn(DATA2) )];
lines(XX, YY, lwd = lwd, col = "orangered");
txtleg <- c(txtleg, "simulated"); colleg <- c(colleg, "orangered")
}
if (!is.null(BasinArea)) {
Factor <- Factor_UNIT_M3S;
axis(side = 4, at = seqDATA1, labels = round(seqDATA2*Factor, digits = 2), cex.axis = cex.axis, ...)
par(las = 0); mtext(side = 4, paste0("flow ", "[m3/s]"), line = line, cex = cex.lab); par(las = 0)
}
legend("topleft", txtleg, col = colleg, lty = 1, lwd = lwd, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
} else {
plot(0, 0, type = "n", xaxt = "n", yaxt = "n", xlab = "", ylab = "", main = "", ...);
par(las = 0); mtext(side = 1, text = "non-exceedance prob. [-]", line = line, cex = cex.lab); par(las = 0);
par(las = 0); mtext(side = 2, text = paste("flow ", plotunit, "", sep = ""), line = line, cex = cex.lab); par(las = 0);
text(0, 0, labels = "NO COMMON DATA", col = "grey40")
}
box()
}
unknown
committed
## Correlation_QQ
if (BOOLPLOT_CorQQ) {
kPlot <- kPlot+1; mar <- c(6, 5, 1, 5);
par(new = FALSE, mar = mar, las = 0)
if (any(SelectNotZero)) {
ylim <- log(range(c(Qobs[IndPeriod_Plot][SelectQobsNotZero & SelectQsimNotZero], OutputsModel$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, paste0("observed flow ", plotunit), line = line, cex = cex.lab); par(las = 0);
par(las = 0); mtext(side = 2, paste0("simulated flow ", plotunit), line = line, cex = cex.lab); par(las = 0);
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, paste0("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, paste0("observed flow ", plotunit), line = line, cex = cex.lab); par(las = 0);
par(las = 0); mtext(side = 2, paste0("simulated flow ", plotunit), line = line, cex = cex.lab); par(las = 0);
text(0, 0, labels = "NO COMMON DATA", col = "grey40")
}
box()
}
unknown
committed
## Empty_plots
while (kPlot < iPlotMax) {
kPlot <- kPlot+1;
par(new = FALSE)
unknown
committed
plot(0, 0, type = "n", xlab = "", ylab = "", axes = FALSE, ...)
}
unknown
committed
## Restoring_layout_options