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### Process a folder of daily MOD35 HDF files to produce a climatology
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.libPaths("/pleiades/u/awilso10/R/x86_64-unknown-linux-gnu-library/2.15/")
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## import commandline arguments
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library(getopt,lib="/pleiades/u/awilso10/R/x86_64-unknown-linux-gnu-library/2.15/")
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## get options
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opta <- getopt(matrix(c(
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'tile', 't', 1, 'character',
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'verbose','v',1,'logical'
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), ncol=4, byrow=TRUE))
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tile=opta$tile #tile="h11v08"
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verbose=opta$verbose #print out extensive information for debugging?
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## set working directory
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setwd("/u/awilso10/MOD35")
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### directory containing daily files
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outdir=paste("daily/",tile,"/",sep="") #directory for separate daily files
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### directory to hold climatology
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outdir2="summary" #directory for combined daily files and summarized files
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if(!file.exists(outdir2)) dir.create(outdir2)
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### path to NCO
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ncopath="/nasa/sles11/nco/4.0.8/gcc/mpt/bin/"
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### Vector of variables that must be in file or they will be deleted.
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### Formated as output from system(paste("cdo -s showvar ",fdly$path[i]),intern=T)
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#finalvars=" CER COT CLD"
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################################################################################
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## Get list of all daily files
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if(verbose) print("Checking daily output in preparation for generating climatology")
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fdly=data.frame(path=list.files(outdir,pattern="nc$",full=T),stringsAsFactors=F)
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fdly$file=basename(fdly$path)
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fdly$dateid=substr(fdly$file,14,21)
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fdly$date=as.Date(substr(fdly$file,14,21),"%Y%m%d")
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fdly$month=format(fdly$date,"%m")
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fdly$year=format(fdly$date,"%Y")
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nrow(fdly)
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## print some summaries
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if(verbose) print("Summary of available daily files")
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print(table(fdly$year))
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print(table(fdly$month))
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#print(table(fdly$fvar))
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#################################################################################
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## Combine the year-by-year files into a single daily file in the summary directory (for archiving)
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if(verbose) print("Merging daily files into single file output")
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## create temporary directory to put intermediate files (will be deleted when R quits)
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tsdir=paste(tempdir(),"/summary",sep="")
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if(!file.exists(tsdir)) dir.create(tsdir,recursive=T)
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## merge all daily files to create a single file with all dates
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system(paste(ncopath,"ncrcat -O ",outdir,"/*nc ",outdir2,"/MOD35_",tile,"_daily.nc",sep=""))
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## Update attributes
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system(paste(ncopath,"ncatted ",
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" -a valid_min,PClear,o,b,0 ",
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" -a valid_max,PClear,o,b,100 ",
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#" -a valid_range,PClear,o,b,\"0,255\" ",
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#" -a missing_value,PClear,o,b,255 ",
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#" -a _FillValue,PClear,d,b,255 ",
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" -a units,time,o,c,\"days since 2000-1-1 0:0:0\" ",
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" -a title,global,o,c,\"MODIS Cloud Product (MOD35) Daily Timeseries\" ",
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" -a institution,global,o,c,\"Yale University\" ",
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" -a source,global,o,c,\"MODIS Cloud Mask (MOD35)\" ",
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" -a comment,global,o,c,\"Compiled by Adam M. Wilson (adam.wilson@yale.edu)\" ",
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outdir2,"/MOD35_",tile,"_daily.nc",sep=""))
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## report on daily file:
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#ncfile=paste(outdir2,"/MOD35_",tile,"_daily.nc",sep="")
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system(paste("ncdump -h ",outdir2,"/MOD35_",tile,"_daily.nc | head -20 ",sep=""))
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system(paste("cdo showyear ",outdir2,"/MOD35_",tile,"_daily.nc",sep=""))
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system(paste("cdo showmon ",outdir2,"/MOD35_",tile,"_daily.nc",sep=""))
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#system(paste("cdo showdate ",outdir2,"/MOD35_",tile,"_daily.nc",sep=""))
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### produce a monthly timeseries?
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#system(paste("cdo -O monmean ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_monmean.nc",sep=""))
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#############################
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## Generate the Climatologies
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if(verbose) print("Generate monthly climatologies")
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myear=as.integer(max(fdly$year)) #this year will be used in all dates of monthly climatologies (and day will = 15)
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## Monthly means
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if(verbose) print("Calculating the monthly means")
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system(paste("cdo -O -b I8 -v sorttimestamp -setyear,",myear," -setday,15 -mulc,-1 -subc,100 -ymonmean ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymonmean.nc",sep=""),wait=T)
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system(paste(ncopath,"ncrename -v PClear,PCloud ",tsdir,"/MOD35_",tile,"_ymonmean.nc",sep=""))
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system(paste(ncopath,"ncatted ",
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" -a long_name,PCloud,o,c,\"Mean Probability of Cloud\" ",
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" -a missing_value,PCloud,o,b,255 ",
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" -a _FillValue,PCloud,d,b,255 ",
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tsdir,"/MOD35_",tile,"_ymonmean.nc",sep=""))
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## Monthly Mean
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#months=c("01","02","03","04","05","06","07","08","09","10","11","12")
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# month="02"
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#system(paste("cdo -O sorttimestamp -setyear,",myear," -mulc,-1 -subc,100 -ydrunmean,30 ",outdir2,"/MOD35_",tile,"_daily.nc ",outdir2,"/MOD35_",tile,"_ydrunmean30.nc &",sep=""),wait=T)
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#system(paste("scp summary/MOD35_",tile,".nc adamw@acrobates.eeb.yale.edu:/data/personal/adamw/projects/interp/data/modis/mod35/",sep=""))
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#system(paste("ncdump -h ",tsdir,"/MOD35_",tile,"_ymonmean.nc ",sep=""))
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## Monthly standard deviation
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if(verbose) print("Calculating the monthly SD")
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system(paste("cdo -O -b I8 sorttimestamp -setyear,",myear," -setday,15 -ymonstd -monmean ",
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outdir2,"/MOD35_",tile,"_daily.nc ",
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tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))
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system(paste(ncopath,"ncrename -v PClear,PCloud_sd ",tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))
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system(paste(ncopath,"ncatted ",
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" -a long_name,PCloud_sd,o,c,\"Standard Deviation of p(cloud)\" ",
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tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))
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## frequency of cloud days p(clear<90%)
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if(verbose) print("Calculating the proportion of cloudy and probably cloudy days")
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system(paste("cdo -O -b I8 sorttimestamp -setyear,",myear," -setday,15 -ymonmean -mulc,100 -lec,90 -selvar,PClear ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))
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system(paste(ncopath,"ncrename -v PClear,CF ",tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))
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system(paste(ncopath,"ncatted ",
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" -a long_name,CF,o,c,\"Cloud Frequency: Proportion of Days with probability of clear < 90%\" ",
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" -a units,CF,o,c,\"Proportion (%)\" ",
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tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))
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## number of observations
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if(verbose) print("Calculating the number of missing variables")
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system(paste("cdo -O -b I8 sorttimestamp -setyear,",myear," -setday,15 -ymonmean -mulc,100 -eqc,9999 -setmisstoc,9999 -selvar,PClear ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))
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system(paste(ncopath,"ncrename -v PClear,Pmiss ",tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))
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system(paste(ncopath,"ncatted ",
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" -a long_name,Pmiss,o,c,\"Proportion of Days with missing data\" ",
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" -a units,Pmiss,o,c,\"Proportion (%)\" ",
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tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))
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## TODO: fix projection information so GDAL can read it correctly.
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## clean up variables?
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## append variables to a single file
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if(verbose) print("Append all monthly climatologies into a single file")
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system(paste(ncopath,"ncks -O ",tsdir,"/MOD35_",tile,"_ymonmean.nc ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))
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system(paste(ncopath,"ncks -A ",tsdir,"/MOD35_",tile,"_ymonstd.nc ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))
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system(paste(ncopath,"ncks -A ",tsdir,"/MOD35_",tile,"_ymoncld01.nc ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))
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system(paste(ncopath,"ncks -A ",tsdir,"/MOD35_",tile,"_ymonmiss.nc ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))
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## append sinusoidal grid from one of input files as CDO doesn't transfer all attributes
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if(verbose) print("Clean up file (update attributes, flip latitudes, add grid description")
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#system(paste(ncopath,"ncea -d time,0,1 -v sinusoidal ",list.files(outdir,full=T,pattern="[.]nc$")[1]," ",tsdir,"/sinusoidal.nc",sep=""))
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#system(paste(ncopath,"ncks -A -d time,0,1 -v sinusoidal ",list.files(outdir,full=T,pattern="[.]nc$")[1]," ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))
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## invert latitude so it plays nicely with gdal
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system(paste(ncopath,"ncpdq -O -a -y ",tsdir,"/MOD35_",tile,"_ymon.nc ",outdir2,"/MOD35_",tile,".nc",sep=""))
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## proj string taken from GDAL-written MODIS tile
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projstring="PROJCS[\"Sinusoidal (Sanson-Flamsteed)\",GEOGCS[\"wgs84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS_1984\",6378137,298.257223563],TOWGS84[0,0,0,0,0,0,0]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433]],PROJECTION[\"Sinusoidal\"],PARAMETER[\"longitude_of_center\",0],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],UNIT[\"Meter\",1]]"
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## update attributes
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system(paste(ncopath,"ncatted ",
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" -a false_easting,sinusoidal,o,d,0. ",
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" -a false_northing,sinusoidal,o,d,0. ",
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" -a longitude_of_central_meridian,sinusoidal,o,d,0. ",
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" -a longitude_of_prime_meridian,sinusoidal,o,d,0. ",
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" -a semi_major_axis,sinusoidal,o,d,6378137. ",
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" -a inverse_flattening,sinusoidal,o,d,298.257223563 ",
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" -a spatial_ref,sinusoidal,o,c,",projstring,
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" -a GeoTransform,sinusoidal,o,c,\"-7783653.638366 926.6254331391661 0 1111950.519767 0 -926.6254331391667\" ",
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" -a units,time,o,c,\"days since 2000-1-1 0:0:0\" ",
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" -a title,global,o,c,\"MODIS Cloud Product (MOD35) Climatology\" ",
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" -a tile,global,o,c,\"",tile,"\" ",
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" -a institution,global,o,c,\"Yale University\" ",
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" -a source,global,o,c,\"MODIS Cloud Product (MOD35) Collection 6\" ",
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" -a comment,global,o,c,\"Compiled by Adam M. Wilson (adam.wilson@yale.edu)\" ",
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outdir2,"/MOD35_",tile,".nc",sep=""))
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print(paste("############################### Processed ",nrow(fdly),"days for tile:",tile," ###################################################"))
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print("Years:")
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print(table(fdly$fyear))
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print("Months:")
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print(table(fdly$fmonth))
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## quit R
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q("no")
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