### Process a folder of daily MOD35 HDF files to produce a climatology

## import commandline arguments

library(getopt)

## get options

opta <- getopt(matrix(c(

                        'tile', 't', 1, 'character',

                        'verbose','v',1,'logical'

                        ), ncol=4, byrow=TRUE))

tile=opta$tile #tile="h11v08"

verbose=opta$verbose  #print out extensive information for debugging?

### directory containing daily files

outdir=paste("daily/",tile,"/",sep="")  #directory for separate daily files

### directory to hold climatology

outdir2="summary" #directory for combined daily files and summarized files

if(!file.exists(outdir2)) dir.create(outdir2)

### path to NCO

ncopath="/nasa/sles11/nco/4.0.8/gcc/mpt/bin/"

### Vector of variables that must be in file or they will be deleted.

###  Formated as output from system(paste("cdo -s showvar ",fdly$path[i]),intern=T)

#finalvars=" CER COT CLD"

################################################################################

## Get list of all daily files

if(verbose) print("Checking daily output in preparation for generating climatology")

 fdly=data.frame(path=list.files(outdir,pattern="nc$",full=T),stringsAsFactors=F)

  fdly$file=basename(fdly$path)

  fdly$dateid=substr(fdly$file,14,21)

  fdly$date=as.Date(substr(fdly$file,14,21),"%Y%m%d")

  fdly$month=format(fdly$date,"%m")

  fdly$year=format(fdly$date,"%Y")

nrow(fdly)

## check validity (via npar and ntime) of nc files

#for(i in 1:nrow(fdly)){

#  fdly$ntime[i]<-as.numeric(system(paste("cdo -s ntime ",fdly$path[i]),intern=T))

#  fdly$npar[i]<-as.numeric(system(paste("cdo -s npar ",fdly$path[i]),intern=T))

#  fdly$fyear[i]<-as.numeric(system(paste("cdo -s showyear ",fdly$path[i]),intern=T))

#  fdly$fmonth[i]<-as.numeric(system(paste("cdo -s showmon ",fdly$path[i]),intern=T))

#  fdly$fvar[i]<-system(paste("cdo -s showvar ",fdly$path[i]),intern=T)

#  print(paste(i," out of ",nrow(fdly)," for year ",  fdly$fyear[i]))

#}

## print some summaries

if(verbose) print("Summary of available daily files")

print(table(fdly$year))

print(table(fdly$month))

#print(table(fdly$fvar))

## Identify which files failed test

#fdly$drop=is.na(fdly$npar)|fdly$fvar!=finalvars

## delete files that fail check?

delete=F

if(delete) {

  print(paste(sum(fdly$drop),"files will be deleted"))

  file.remove(as.character(fdly$path[fdly$drop]))

}

## remove dropped files from list

#fdly=fdly[!fdly$drop,]

#################################################################################

## Combine the year-by-year files into a single daily file in the summary directory (for archiving)

if(verbose) print("Merging daily files into single file output")

## create temporary directory to put intermediate files (will be deleted when R quits)

tsdir=paste(tempdir(),"/summary",sep="")

if(!file.exists(tsdir)) dir.create(tsdir,recursive=T)

## merge all daily files to create a single file with all dates

system(paste(ncopath,"ncrcat -O ",outdir,"/*nc ",outdir2,"/MOD35_",tile,"_daily.nc",sep=""))

## Update attributes

system(paste(ncopath,"ncatted ",

" -a units,time,o,c,\"days since 2000-1-1 0:0:0\" ",

" -a title,global,o,c,\"MODIS Cloud Product (MOD35) Daily Timeseries\" ",

" -a institution,global,o,c,\"Yale University\" ",

" -a source,global,o,c,\"MODIS Cloud Mask (MOD35)\" ",

" -a comment,global,o,c,\"Compiled by Adam M. Wilson (adam.wilson@yale.edu)\" ",

outdir2,"/MOD35_",tile,"_daily.nc",sep=""))

### produce a monthly timeseries?

#system(paste("cdo -O monmean ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_monmean.nc",sep=""))

#############################

##  Generate the Climatologies

if(verbose) print("Generate monthly climatologies")

myear=as.integer(max(fdly$year))  #this year will be used in all dates of monthly climatologies (and day will = 15)

## Monthly means

if(verbose) print("Calculating the monthly means")

system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -ymonmean ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymonmean.nc",sep=""),wait=T)

## Monthly standard deviation

if(verbose) print("Calculating the monthly SD")

system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -ymonstd ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))

system(paste(ncopath,"ncrename -v PClear,PClear_sd ",tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))

system(paste(ncopath,"ncatted ",

" -a long_name,PClear_sd,o,c,\"Standard Deviation of p(clear)\" ",

tsdir,"/MOD35_",tile,"_ymonstd.nc",sep=""))

## frequency of cloud days p(clear<90%)  

if(verbose) print("Calculating the proportion of cloudy and probably cloudy days")

system(paste("cdo -O  sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -lec,90 -setrtomiss,100,255 -selvar,PClear ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))

system(paste(ncopath,"ncrename -v PClear,CF ",tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))

system(paste(ncopath,"ncatted ",

" -a long_name,CF,o,c,\"Proportion of Days with probability of clear < 90%\" ",

" -a units,CF,o,c,\"Proportion\" ",

tsdir,"/MOD35_",tile,"_ymoncld01.nc",sep=""))

## number of observations

#if(verbose) print("Calculating the number of missing variables")

#system(paste("cdo -O sorttimestamp  -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean  -mulc,1.0 -eqc,9999 -setmisstoc,9999   -selvar,CLD ",outdir2,"/MOD35_",tile,"_daily.nc ",tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))

#system(paste(ncopath,"ncrename -v CLD,CLD_pmiss ",tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))

#system(paste(ncopath,"ncatted ",

#" -a long_name,CLD_pmiss,o,c,\"Proportion of Days with missing data for CLD\" ",

#" -a scale_factor,CLD_pmiss,o,d,0.01 ",

#" -a units,CLD_pmiss,o,c,\"Proportion\" ",

#tsdir,"/MOD35_",tile,"_ymonmiss.nc",sep=""))

## TODO: fix projection information so GDAL can read it correctly.

## clean up variables?

## append variables to a single file

if(verbose) print("Append all monthly climatologies into a single file")

system(paste(ncopath,"ncks -O ",tsdir,"/MOD35_",tile,"_ymonmean.nc  ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))

system(paste(ncopath,"ncks -A ",tsdir,"/MOD35_",tile,"_ymonstd.nc  ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))

system(paste(ncopath,"ncks -A ",tsdir,"/MOD35_",tile,"_ymoncld01.nc  ",tsdir,"/MOD35_",tile,"_ymon.nc",sep=""))

## append sinusoidal grid from one of input files as CDO doesn't transfer all attributes

if(verbose) print("Clean up file (update attributes, flip latitudes, add grid description")

#system(paste(ncopath,"ncea -d time,0,1 -v sinusoidal ",list.files(outdir,full=T,pattern="[.]nc$")[1],"  ",tsdir,"/sinusoidal.nc",sep=""))

#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=""))

## invert latitude so it plays nicely with gdal

system(paste(ncopath,"ncpdq -O -a -y ",tsdir,"/MOD35_",tile,"_ymon.nc ",outdir2,"/MOD35_",tile,".nc",sep=""))

## update attributes

system(paste(ncopath,"ncatted ",

#" -a standard_parallel,sinusoidal,o,c,\"0\" ",

#" -a longitude_of_central_meridian,sinusoidal,o,c,\"0\" ",

#" -a latitude_of_central_meridian,sinusoidal,o,c,\"0\" ",

" -a units,time,o,c,\"days since 2000-1-1 0:0:0\" ",

" -a title,global,o,c,\"MODIS Cloud Product (MOD35) Climatology\" ",

" -a institution,global,o,c,\"Yale University\" ",

" -a source,global,o,c,\"MODIS Cloud Product (MOD35)\" ",

" -a comment,global,o,c,\"Compiled by Adam M. Wilson (adam.wilson@yale.edu)\" ",

outdir2,"/MOD35_",tile,".nc",sep=""))

print(paste("###############################  Processed ",nrow(fdly),"days for tile:",tile," ###################################################"))

print("Years:")

print(table(fdly$fyear))

print("Months:")

print(table(fdly$fmonth))

## quit R

q("no")