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## script to visualize cloud frequency data
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setwd("~/acrobates/adamw/projects/cloud/")
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library(rasterVis)
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## read in global coasts for nice plotting
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library(maptools)
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9
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data(wrld_simpl)
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coast <- unionSpatialPolygons(wrld_simpl, rep("land",nrow(wrld_simpl)), threshold=5)
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coast=as(coast,"SpatialLines")
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#coast=spTransform(coast,CRS(projection(mod35)))
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#### Evaluate MOD35 Cloud data
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mod09=brick("~/acrobates/adamw/projects/cloud/data/mod09.nc",varname="CF")
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NAvalue(mod09)=-1
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cols=colorRampPalette(c("#000000","#00FF00","#FF0000"))#"black","blue","red"))
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for(i in 1:156){
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png(paste("output/mod09_fullanimation_",i,".png",sep=""),width=2000,height=1000)
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print(i)
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r=mod09[[i]]
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print(levelplot(r,col.regions=cols(100),at=seq(0,100,len=100),margin=F,maxpixels=1e6,ylim=c(-60,70),main=paste(names(mod09)[i])))+
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layer(sp.lines(coast))
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dev.off()
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}
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#### Evaluate MOD35 Cloud data
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mod09=brick("~/acrobates/adamw/projects/cloud/data/mod09_clim.nc",varname="CF")
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NAvalue(mod09)=-1
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cols=colorRampPalette(c("#000000","#00FF00","#FF0000"))#"black","blue","red"))
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for(i in 1:12){
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png(paste("output/mod09_animation_",i,".png",sep=""),width=2000,height=1000)
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print(i)
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r=mod09[[i]]
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print(levelplot(r,col.regions=cols(100),at=seq(0,100,len=100),margin=F,maxpixels=1e6,ylim=c(-60,70),main=paste(month.name[i])))+
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layer(sp.lines(coast))
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dev.off()
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}
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## climatologies
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mod09a=brick("~/acrobates/adamw/projects/cloud/data/mod09_clim2.nc",varname="CF")
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pdf("output/mod09_climatology.pdf",width=11,height=8.5)
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levelplot(mod09c,col.regions=cols(100),at=seq(0,100,len=100),margin=F,max.pixels=1e7)
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dev.off()
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53
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## Compare with worldclim
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wc=stack(as.list(paste("/mnt/data/jetzlab/Data/environ/global/worldclim/prec_",1:12,".bil",sep="")))
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reg=extent(c(-83,-45,-5,13))
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reg2=extent(c(-81,-70,-4,10))
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wc_map=mean(crop(wc,reg))
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twc_12=crop(wc[[12]],reg)
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mod09_12=crop(mod09[[12]],reg)
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p1=levelplot(wc_map,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,colorkey=list("top"))
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p2=levelplot(mod09_12,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,colorkey=list("bottom"))
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p3=c(p1,p2,x.same=T,y.same=T,merge.legends=F)
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print(p3)
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plot(mod09_12)
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## reduced resolution
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mod09_8km=aggregate(mod09_12,8)
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mod09_1deg=aggregate(mod09_12,110)
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pdf("output/mod09_resolution.pdf",width=11,height=8.5)
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p1=levelplot(mod09_12,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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p2=levelplot(mod09_8km,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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p3=levelplot(mod09_1deg,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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print(c(p1,p2,p3))
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83
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84
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p1=levelplot(crop(mod09_12,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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p2=levelplot(crop(mod09_8km,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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p3=levelplot(crop(mod09_1deg,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)
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print(c(p1,p2,p3),x.same=T,y.same=T)
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89
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dev.off()
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91
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92
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