Revision d86b0a4a
Added by Adam Wilson almost 11 years ago
climate/procedures/MOD09_Visualize.R | ||
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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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mc=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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r=mm[[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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mmc=brick("~/acrobates/adamw/projects/cloud/data/mod09_clim_mean.nc",varname="CF") |
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names(mmc)=month.name |
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NAvalue(mmc)=-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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r=mmc[[i]] |
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print(levelplot(r,col.regions=cols(100),at=seq(0,100,len=100),margin=F,maxpixels=1e7,ylim=c(-60,70), |
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main=paste(month.name[i]),cex.main=3,scales=list(draw=F),cuts=99))+ |
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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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mac=brick("~/acrobates/adamw/projects/cloud/data/mod09_clim_mac.nc",varname="CF_annual")
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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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levelplot(mac,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e6)+ |
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layer(sp.lines(coast,lwd=.5,col="black")) |
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dev.off() |
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## Compare with worldclim |
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## Compare with worldclim and NPP
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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=stack(as.list(paste("/mnt/data/jetzlab/Data/environ/global/worldclim/bio_12.bil",sep=""))) |
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npp=raster("/mnt/data/jetzlab/Data/environ/global/MODIS/MOD17A3/MOD17A3_Science_NPP_mean_00_12.tif",sep="") |
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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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pdf("output/mod09_worldclim.pdf",width=11,height=8.5) |
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p1=levelplot(wc_map,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,maxpixels=1e5,colorkey=list("top")) |
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p2=levelplot(mac,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,maxpixels=1e5,colorkey=list("bottom")) |
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p3=c(p1,p2,x.same=T,y.same=T,merge.legends=T) |
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print(p3) |
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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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regs=list( |
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Hawaii=extent(c(-156.5,-154,18.75,20.5)), |
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Boliva=extent(c(-71,-63,-20,-15)), |
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Venezuela=extent(c(-69,-59,0,7)), |
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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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) |
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p3=c(p1,p2,x.same=T,y.same=T,merge.legends=F) |
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r=3 #set region |
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p_map=levelplot(crop(wc_map,regs[[r]]),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,maxpixels=1e5,colorkey=list(space="bottom",height=.75),xlab="",ylab="",main=names(regs)[r],useRaster=T) |
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p_mac=levelplot(crop(mac,regs[[r]]),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,maxpixels=1e5,colorkey=list(space="bottom",height=.75),useRaster=T) |
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p_npp=levelplot(crop(npp,regs[[r]]),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,maxpixels=1e5,colorkey=list(space="bottom",height=.5),zscaleLog=T,useRaster=T) |
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p3=c("WorldClim Mean Annual Precip (mm)"=p_map,"MOD09 Cloud Frequency (%)"=p_mac,"NPP"=p_npp,x.same=T,y.same=T,merge.legends=T,layout=c(3,1)) |
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print(p3) |
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plot(mod09_12)
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dev.off()
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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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mod09_8km=aggregate(mod09_mac,8)
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mod09_1deg=aggregate(mod09_mac,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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p1=levelplot(mod09_mac,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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p2=levelplot(mod09_8km,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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p3=levelplot(mod09_1deg,col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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print(c(p1,p2,p3,x.same=T,y.same=T,merge.legends=F))
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83 | 96 |
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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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p1=levelplot(crop(mod09_mac,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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p2=levelplot(crop(mod09_8km,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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p3=levelplot(crop(mod09_1deg,reg2),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5)
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print(c(p1,p2,p3,x.same=T,y.same=T,merge.legends=F))
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dev.off() |
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p1=levelplot(crop(mod09_mac,reg3),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5) |
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p2=levelplot(crop(mod09_8km,reg3),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5) |
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p3=levelplot(crop(mod09_1deg,reg3),col.regions=grey(seq(0,1,len=100)),cuts=99,margin=F,max.pixels=1e5) |
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print(c(p1,p2,p3,x.same=T,y.same=T,merge.legends=F)) |
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91 | 107 |
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dev.off() |
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92 | 109 |
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Also available in: Unified diff
updates to MOD09 visualizations