/
plot_composite.R
259 lines (242 loc) · 9.64 KB
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plot_composite.R
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# Composite plot of illustrative 'temperature' for the whole Cenezoic
library(grid)
pdf(file="Cenezoic.pdf",width=44,height=7,family="Helvetica",pointsize=18)
gp_red <- gpar(col=rgb(1,0,0,0.7),fill=rgb(1,0,0,0.7),lex=1)
gp_blue <- gpar(col=rgb(0,0,1,1),fill=rgb(0,0,1,1),lex=3)
gp_uncertainty <- gpar(col=rgb(0,0,1,0.2),fill=rgb(0,0,1,0.2),lex=1)
gp_grey <- gpar(col=rgb(0,0,0,0.2),fill=rgb(0,0,0,0.2),lex=1)
gp_txt.small <- gpar(cex=0.75)
# Need a logarithmic time scaling
to.time<-function(x) {
t<-log(2200-x)*-1
return(t)
}
to.gst<-function(x,o,s) {
t<-(x+o)*s
return(t)
}
x.tics<-c(2100,2000,0,-10000,-100000,-1000000,-10000000,-65000000)
x.labels<-c('2100','2000','0','-10,000','-100,000','-1,000,000',
'-10,000,000','-65,000,000')
boundaries<-c(1950-67.5173e+6,1950-5.32e+6,1950-801662,1950-49003.4,
1950-11290,800,1850,2000,2100)
plot.best<-function(x,y,start) {
blue<-c(0,0,1,1)
for(s in seq(start,length(boundaries))) {
x.r<-x[x<boundaries[s+1] & x>=boundaries[s]]
if(length(x.r)<1) break
y.r<-y[x<boundaries[s+1] & x>=boundaries[s]]
gp <- gpar(col=rgb(blue[1],blue[2],blue[3],blue[4]),
fill=rgb(blue[1],blue[2],blue[3],blue[4]),lex=2)
grid.lines(x=unit(to.time(x.r),"native"),
y=unit(y.r,'native'),gp=gp)
blue[4]<-blue[4]/3
}
}
plot.range<-function(x,y.t,y.b,start) {
range<-c(0,0,1,0.4)
for(s in seq(start,length(boundaries))) {
x.r<-x[x<boundaries[s+1] & x>=boundaries[s]]
if(length(x.r)<1) break
y.t.r<-y.t[x<boundaries[s+1] & x>=boundaries[s]]
y.b.r<-y.b[x<boundaries[s+1] & x>=boundaries[s]]
gp.range <- gpar(col=rgb(range[1],range[2],range[3],0),
fill=rgb(range[1],range[2],range[3],range[4]),lex=1)
grid.polygon(x=unit(to.time(c(x.r,rev(x.r))),"native"),
y=unit(c(y.b.r,rev(y.t.r)),'native'),
gp=gp.range)
range[4]<-range[4]/3
}
}
pushViewport(viewport(width=1.0,height=1.0,x=0.0,y=0.0,
just=c("left","bottom")))
pushViewport(plotViewport(margins=c(4,5,2,2)))
pushViewport(dataViewport(to.time(c(-65000000,2101)),c(-6,12)))
grid.xaxis(main=T,at=to.time(x.tics),label=x.labels)
grid.text('Year',y=unit(-3,"lines"))
grid.yaxis(main=T)
grid.text('Sort-of global temperature anomaly (C)',
x=unit(-3.5,"lines"), rot=90)
upViewport()
pushViewport(dataViewport(to.time(c(-65000000,2101)),c(-6,12),clip='on'))
grid.lines(x=unit(to.time(c(-70000000,2101)),'native'),
y=unit(c(0,0),'native'),
gp=gp_grey)
grid.lines(x=unit(to.time(c(-70000000,2101)),'native'),
y=unit(c(2,2),'native'),
gp=gp_grey)
grid.lines(x=unit(to.time(c(-70000000,2101)),'native'),
y=unit(c(4,4),'native'),
gp=gp_grey)
grid.lines(x=unit(to.time(c(-70000000,2101)),'native'),
y=unit(c(-2,-2),'native'),
gp=gp_grey)
grid.lines(x=unit(to.time(c(-70000000,2101)),'native'),
y=unit(c(-4,-4),'native'),
gp=gp_grey)
# Whole Cenozoic
grid.lines(x=unit(to.time(1950-67.5173e+6),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
dD<-read.table('periods/cenozoic/zachos2001.txt.fmt',header=F)
dD$V2 <- 1950-dD$V2*1.0e+6
dD$V6 <- to.gst(dD$V6,-3.2,-3)
plot.best(dD$V2,dD$V6,1)
grid.text('Ocean Sediments',
x=unit(to.time(1950-67.5173e+6+1000000),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('(Benthic forams)',
x=unit(to.time(1950-67.5173e+6+20000000),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
grid.text('Zachos et al. 2001',
x=unit(to.time(1950-67.5173e+6+20000000),"native"),
y=unit(10.0,'native'),
just='left',
gp=gp_txt.small)
# Benthic stack
grid.lines(x=unit(to.time(1950-5.32e+6),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
dD<-read.table('periods/ocean-cores/LR04stack.txt.fmt',header=F)
dD$V1 <- 1950-dD$V1
dD$V2 <- to.gst(dD$V2,-3.2,-3)
plot.best(dD$V1,dD$V2,2)
grid.text('Ocean Sediments',
x=unit(to.time(1950-5.32e+6+100000),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('(Benthic forams)',
x=unit(to.time(1950-5.32e+6+100000),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
grid.text('Lisiecki & Raymo 2005',
x=unit(to.time(1950-5.32e+6+100000),"native"),
y=unit(10.0,'native'),
just='left',
gp=gp_txt.small)
# Antarctic cores
grid.lines(x=unit(to.time(1950-801662),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
dD<-read.table('periods/ice-cores/edc3deuttemp2007.txt.cut',header=F,fill=T)
dD$V3 = 1950-dD$V3
dD$V4 = to.gst(dD$V4,395,0.1)
plot.best(dD$V3,dD$V4,3)
grid.text('Antarctic ice core',
x=unit(to.time(1950-801662+10000),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('EPICA (Jouzel et al. 2007)',
x=unit(to.time(1950-801662+10000),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
# GISP core
grid.lines(x=unit(to.time(1950-49003.4),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
Gt<-read.table('periods/dansgaard-oeschger/gisp2_temp_accum_alley2000.txt.fmt',header=F)
Gt$V1 <- 1950-Gt$V1*1000
Gt$V2<-to.gst(Gt$V2,32,0.2)
plot.best(Gt$V1,Gt$V2,4)
grid.text('Greenland ice core',
x=unit(to.time(1950-49003.4+1000),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('Alley 2000',
x=unit(to.time(1950-49003.4+1000),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
# Holocene
grid.lines(x=unit(to.time(1950-11290),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
mi<-read.table('periods/holocene/Marcott.SM.database.S1.txt',header=F,fill=T)
plot.range(1950-mi$V1,mi$V2+mi$V3*2,mi$V2-mi$V3*2,5)
plot.best(1950-mi$V1,mi$V2,5)
grid.lines(x=unit(mi$V1,"native"),
y=unit(mi$V2,'native'),gp=gp_uncertainty)
grid.text('Decadal proxies (mostly alkenones)',
x=unit(to.time(1950-11290+300),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('Marcott et al 2013',
x=unit(to.time(1950-11290+300),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
# Last millennium
grid.lines(x=unit(to.time(800),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
mi<-read.table('periods/last-millennium/B2000',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/BOS..2001',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/DWJ2006',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/HCA..2006',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/ECS2002',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/MBH1999',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/MJ2003',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/MSH..2005',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/O2005',header=F)
plot.best(mi$V1,mi$V2,6)
mi<-read.table('periods/last-millennium/RMO..2005',header=F)
plot.best(mi$V1,mi$V2,6)
grid.text('Annual proxies',
x=unit(to.time(850),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('(mostly tree-rings)',
x=unit(to.time(850),"native"),
y=unit(11.0,'native'),
just='left')
grid.text('After AR4 F6.1',
x=unit(to.time(850),"native"),
y=unit(10.0,'native'),
just='left',
gp=gp_txt.small)
# Instrumental period
grid.lines(x=unit(to.time(1850),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
instrumental<-read.table('periods/instrumental/annual',header=F)
plot.range(instrumental$V1,instrumental$V11,instrumental$V12,7)
plot.best(instrumental$V1,instrumental$V2,7)
# Add a key
grid.text('Thermometers',
x=unit(to.time(1863),"native"),
y=unit(9.0,'native'),
just='left')
grid.text('HadCRUT3',
x=unit(to.time(1863),"native"),
y=unit(8.0,'native'),
just='left',
gp=gp_txt.small)
# Next century predictions
grid.lines(x=unit(to.time(2000),'native'),
y=unit(c(5,20),'native'),
gp=gp_grey)
future<-read.table('periods/next-century/cmip3_range.out',header=F)
plot.range(future$V1,future$V2,future$V3,8)
grid.text('Simulations',
x=unit(to.time(2005),"native"),
y=unit(12.0,'native'),
just='left')
grid.text('CMIP3 A1B ensemble',
x=unit(to.time(2005),"native"),
y=unit(11.0,'native'),
just='left',
gp=gp_txt.small)
upViewport(0)