Revision f27b378d
Added by Adam Wilson almost 12 years ago
climate/procedures/MOD06_Climatology.r | ||
---|---|---|
13 | 13 |
|
14 | 14 |
### directory containing daily files |
15 | 15 |
outdir=paste("daily/",tile,"/",sep="") #directory for separate daily files |
16 |
if(!file.exists(outdir)) dir.create(outdir) |
|
17 | 16 |
|
18 | 17 |
### directory to hold climatology |
19 | 18 |
outdir2="summary" #directory for combined daily files and summarized files |
... | ... | |
31 | 30 |
## Get list of all daily files |
32 | 31 |
if(verbose) print("Checking daily output in preparation for generating climatology") |
33 | 32 |
|
34 |
fdly=data.frame( |
|
35 |
path=list.files(outdir,pattern="nc$",full=T), |
|
36 |
file=list.files(outdir,pattern="nc$")) |
|
33 |
fdly=data.frame(path=list.files(outdir,pattern="nc$",full=T),stringsAsFactors=F) |
|
34 |
fdly$file=basename(fdly$path) |
|
37 | 35 |
fdly$dateid=substr(fdly$file,14,21) |
38 | 36 |
fdly$date=as.Date(substr(fdly$file,14,21),"%Y%m%d") |
39 | 37 |
fdly$month=format(fdly$date,"%m") |
... | ... | |
41 | 39 |
nrow(fdly) |
42 | 40 |
|
43 | 41 |
## check validity (via npar and ntime) of nc files |
44 |
for(i in 1:nrow(fdly)){ |
|
45 |
fdly$ntime[i]<-as.numeric(system(paste("cdo -s ntime ",fdly$path[i]),intern=T)) |
|
46 |
fdly$npar[i]<-as.numeric(system(paste("cdo -s npar ",fdly$path[i]),intern=T)) |
|
47 |
fdly$fyear[i]<-as.numeric(system(paste("cdo -s showyear ",fdly$path[i]),intern=T)) |
|
48 |
fdly$fmonth[i]<-as.numeric(system(paste("cdo -s showmon ",fdly$path[i]),intern=T)) |
|
49 |
fdly$fvar[i]<-system(paste("cdo -s showvar ",fdly$path[i]),intern=T) |
|
50 |
print(paste(i," out of ",nrow(fdly)," for year ", fdly$fyear[i])) |
|
51 |
} |
|
42 |
#for(i in 1:nrow(fdly)){
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|
43 |
# fdly$ntime[i]<-as.numeric(system(paste("cdo -s ntime ",fdly$path[i]),intern=T))
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44 |
# fdly$npar[i]<-as.numeric(system(paste("cdo -s npar ",fdly$path[i]),intern=T))
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45 |
# fdly$fyear[i]<-as.numeric(system(paste("cdo -s showyear ",fdly$path[i]),intern=T))
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46 |
# fdly$fmonth[i]<-as.numeric(system(paste("cdo -s showmon ",fdly$path[i]),intern=T))
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47 |
# fdly$fvar[i]<-system(paste("cdo -s showvar ",fdly$path[i]),intern=T)
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48 |
# print(paste(i," out of ",nrow(fdly)," for year ", fdly$fyear[i]))
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49 |
#}
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52 | 50 |
|
53 | 51 |
## print some summaries |
54 | 52 |
if(verbose) print("Summary of available daily files") |
55 |
print(table(fdly$fyear))
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56 |
print(table(fdly$fmonth))
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57 |
print(table(fdly$fvar)) |
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53 |
print(table(fdly$year)) |
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54 |
print(table(fdly$month)) |
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55 |
#print(table(fdly$fvar))
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58 | 56 |
|
59 | 57 |
## Identify which files failed test |
60 |
fdly$drop=is.na(fdly$npar)|fdly$fvar!=finalvars |
|
58 |
#fdly$drop=is.na(fdly$npar)|fdly$fvar!=finalvars
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61 | 59 |
|
62 | 60 |
## delete files that fail check? |
63 |
delete=T
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61 |
delete=F
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64 | 62 |
if(delete) { |
65 | 63 |
print(paste(sum(fdly$drop),"files will be deleted")) |
66 | 64 |
file.remove(as.character(fdly$path[fdly$drop])) |
67 | 65 |
} |
68 | 66 |
## remove dropped files from list |
69 |
fdly=fdly[!fdly$drop,] |
|
67 |
#fdly=fdly[!fdly$drop,]
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70 | 68 |
|
71 | 69 |
################################################################################# |
72 | 70 |
## Combine the year-by-year files into a single daily file in the summary directory (for archiving) |
... | ... | |
98 | 96 |
myear=as.integer(max(fdly$year)) #this year will be used in all dates of monthly climatologies (and day will = 15) |
99 | 97 |
|
100 | 98 |
## Monthly means |
99 |
if(verbose) print("Calculating the monthly means") |
|
101 | 100 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -ymonmean ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymonmean.nc",sep=""),wait=T) |
102 | 101 |
|
103 | 102 |
## Monthly standard deviation |
103 |
if(verbose) print("Calculating the monthly SD") |
|
104 | 104 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -ymonstd ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymonstd.nc",sep="")) |
105 | 105 |
system(paste(ncopath,"ncrename -v CER,CER_sd -v CLD,CLD_sd -v COT,COT_sd ",tsdir,"/MOD06_",tile,"_ymonstd.nc",sep="")) |
106 | 106 |
system(paste(ncopath,"ncatted ", |
... | ... | |
110 | 110 |
tsdir,"/MOD06_",tile,"_ymonstd.nc",sep="")) |
111 | 111 |
|
112 | 112 |
## cer > 20 |
113 |
if(verbose) print("Calculating the proportion of days with CER > 20") |
|
113 | 114 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -ymonmean -gtc,20 -selvar,CER ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncer20.nc",sep="")) |
114 | 115 |
system(paste(ncopath,"ncrename -v CER,CER20 ",tsdir,"/MOD06_",tile,"_ymoncer20.nc",sep="")) |
115 | 116 |
system(paste(ncopath,"ncatted ", |
... | ... | |
117 | 118 |
" -a units,CER20,o,c,\"Proportion\" ", |
118 | 119 |
tsdir,"/MOD06_",tile,"_ymoncer20.nc",sep="")) |
119 | 120 |
|
121 |
## cld == 0 |
|
122 |
if(verbose) print("Calculating the proportion of cloudy days") |
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123 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -eqc,0 -setctomiss,1 -selvar,CLD2 ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncld0.nc",sep="")) |
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124 |
system(paste(ncopath,"ncrename -v CLD2,CLD0 ",tsdir,"/MOD06_",tile,"_ymoncld0.nc",sep="")) |
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125 |
system(paste(ncopath,"ncatted ", |
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126 |
" -a long_name,CLD0,o,c,\"Proportion of Days with Cloud Mask == 0\" ", |
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127 |
" -a units,CLD0,o,c,\"Proportion\" ", |
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128 |
tsdir,"/MOD06_",tile,"_ymoncld0.nc",sep="")) |
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129 |
|
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130 |
## cld == 0|1 |
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131 |
if(verbose) print("Calculating the proportion of cloudy days") |
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132 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -lec,1 -selvar,CLD2 ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncld01.nc",sep="")) |
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133 |
system(paste(ncopath,"ncrename -v CLD2,CLD01 ",tsdir,"/MOD06_",tile,"_ymoncld01.nc",sep="")) |
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134 |
system(paste(ncopath,"ncatted ", |
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135 |
" -a long_name,CLD01,o,c,\"Proportion of Days with Cloud Mask == 0|1\" ", |
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136 |
" -a units,CLD01,o,c,\"Proportion\" ", |
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137 |
tsdir,"/MOD06_",tile,"_ymoncld01.nc",sep="")) |
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138 |
|
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139 |
## cld == 1 |
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140 |
if(verbose) print("Calculating the proportion of uncertain days") |
|
141 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -eqc,1 -selvar,CLD2 ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncld1.nc",sep="")) |
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142 |
system(paste(ncopath,"ncrename -v CLD2,CLD1 ",tsdir,"/MOD06_",tile,"_ymoncld1.nc",sep="")) |
|
143 |
system(paste(ncopath,"ncatted ", |
|
144 |
" -a long_name,CLD1,o,c,\"Proportion of Days with Cloud Mask == 1 (uncertain)\" ", |
|
145 |
" -a units,CLD1,o,c,\"Proportion\" ", |
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146 |
tsdir,"/MOD06_",tile,"_ymoncld1.nc",sep="")) |
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147 |
|
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148 |
|
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149 |
## cld >= 2 (setting cld==01 to missing because 'uncertain') |
|
150 |
if(verbose) print("Calculating the proportion of clear days") |
|
151 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -gtc,1 -setctomiss,1 -selvar,CLD2 ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncld2.nc",sep="")) |
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152 |
system(paste(ncopath,"ncrename -v CLD2,CLD23 ",tsdir,"/MOD06_",tile,"_ymoncld2.nc",sep="")) |
|
153 |
system(paste(ncopath,"ncatted ", |
|
154 |
" -a long_name,CLD23,o,c,\"Proportion of Days with Cloud Mask >= 2 (Probably Clear or Certainly Clear)\" ", |
|
155 |
" -a units,CLD23,o,c,\"Proportion\" ", |
|
156 |
tsdir,"/MOD06_",tile,"_ymoncld2.nc",sep="")) |
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157 |
|
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158 |
## cld >= 1 |
|
159 |
if(verbose) print("Calculating the proportion of clear days") |
|
160 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -gec,1 -selvar,CLD2 ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymoncld13.nc",sep="")) |
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161 |
system(paste(ncopath,"ncrename -v CLD2,CLD13 ",tsdir,"/MOD06_",tile,"_ymoncld13.nc",sep="")) |
|
162 |
system(paste(ncopath,"ncatted ", |
|
163 |
" -a long_name,CLD13,o,c,\"Proportion of Days with Cloud Mask >= 1\" ", |
|
164 |
" -a units,CLD13,o,c,\"Proportion\" ", |
|
165 |
tsdir,"/MOD06_",tile,"_ymoncld13.nc",sep="")) |
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166 |
|
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120 | 167 |
## number of observations |
168 |
if(verbose) print("Calculating the number of missing variables") |
|
121 | 169 |
system(paste("cdo -O sorttimestamp -setyear,",myear," -setday,15 -nint -mulc,100 -ymonmean -eqc,9999 -setmisstoc,9999 -selvar,CER,CLD ",outdir2,"/MOD06_",tile,"_daily.nc ",tsdir,"/MOD06_",tile,"_ymonmiss.nc",sep="")) |
122 | 170 |
system(paste(ncopath,"ncrename -v CER,CER_pmiss -v CLD,CLD_pmiss ",tsdir,"/MOD06_",tile,"_ymonmiss.nc",sep="")) |
123 | 171 |
system(paste(ncopath,"ncatted ", |
... | ... | |
134 | 182 |
system(paste(ncopath,"ncks -O ",tsdir,"/MOD06_",tile,"_ymonmean.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
135 | 183 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymonstd.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
136 | 184 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymoncer20.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
185 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymoncld0.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
|
186 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymoncld1.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
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187 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymoncld2.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
|
137 | 188 |
system(paste(ncopath,"ncks -A ",tsdir,"/MOD06_",tile,"_ymonmiss.nc ",tsdir,"/MOD06_",tile,"_ymon.nc",sep="")) |
138 | 189 |
|
139 | 190 |
## append sinusoidal grid from one of input files as CDO doesn't transfer all attributes |
climate/procedures/MOD06_L2_process.r | ||
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34 | 34 |
} |
35 | 35 |
|
36 | 36 |
|
37 |
## default date and tile to play with |
|
37 |
## default date and tile to play with (will be overwritten below when running in batch)
|
|
38 | 38 |
date="20030102" |
39 | 39 |
tile="h11v08" |
40 | 40 |
platform="pleiades" |
... | ... | |
47 | 47 |
outdir=paste("daily/",tile,"/",sep="") #directory for separate daily files |
48 | 48 |
|
49 | 49 |
|
50 |
if(platform="pleiades"){ |
|
50 |
## get year and doy from date |
|
51 |
year=format(as.Date(date,"%Y%m%d"),"%Y") |
|
52 |
doy=format(as.Date(date,"%Y%m%d"),"%j") |
|
53 |
|
|
54 |
if(platform=="pleiades"){ |
|
51 | 55 |
## location of MOD06 files |
52 |
datadir="/nobackupp4/datapool/modis/MOD06_L2.005/"
|
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56 |
datadir=paste("/nobackupp4/datapool/modis/MOD06_L2.005/",year,"/",doy,"/",sep="")
|
|
53 | 57 |
## path to some executables |
54 | 58 |
ncopath="/nasa/sles11/nco/4.0.8/gcc/mpt/bin/" |
55 | 59 |
swtifpath="/nobackupp1/awilso10/software/heg/bin/swtif" |
... | ... | |
64 | 68 |
projection(td)="+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs +datum=WGS84 +ellps=WGS84 " |
65 | 69 |
} |
66 | 70 |
|
67 |
if(platform="litoria"){ #if running on local server, use different paths |
|
71 |
if(platform=="litoria"){ #if running on local server, use different paths
|
|
68 | 72 |
## specify working directory |
69 | 73 |
setwd("~/acrobates/projects/interp") |
70 | 74 |
gisBase="/usr/lib/grass64" |
... | ... | |
97 | 101 |
"Cloud_Effective_Radius_Uncertainty", "CERU", |
98 | 102 |
"Cloud_Optical_Thickness", "COT", |
99 | 103 |
"Cloud_Optical_Thickness_Uncertainty", "COTU", |
100 |
"Cloud_Water_Path", "CWP", |
|
101 |
"Cloud_Water_Path_Uncertainty", "CWPU", |
|
102 |
"Cloud_Phase_Optical_Properties", "CPOP", |
|
103 |
"Cloud_Multi_Layer_Flag", "CMLF", |
|
104 |
# "Cloud_Water_Path", "CWP",
|
|
105 |
# "Cloud_Water_Path_Uncertainty", "CWPU",
|
|
106 |
# "Cloud_Phase_Optical_Properties", "CPOP",
|
|
107 |
# "Cloud_Multi_Layer_Flag", "CMLF",
|
|
104 | 108 |
"Cloud_Mask_1km", "CM1", |
105 | 109 |
"Quality_Assurance_1km", "QA"), |
106 |
byrow=T,ncol=2,dimnames=list(1:10,c("variable","varid"))),stringsAsFactors=F)
|
|
110 |
byrow=T,ncol=2,dimnames=list(1:6,c("variable","varid"))),stringsAsFactors=F)
|
|
107 | 111 |
|
108 | 112 |
## vector of variables expected to be in final netcdf file. If these are not present, the file will be deleted at the end. |
109 | 113 |
finalvars=c("CER","COT","CLD") |
... | ... | |
241 | 245 |
CM_clear_",i," = ((CM1_",i," / 2^0) % 2) == 1 && ((CM1_",i," / 2^1) % 2^2) > 2 |
242 | 246 |
CM_path_",i," = ((CM1_",i," / 2^6) % 2^2) |
243 | 247 |
CM_cloud2_",i," = ((CM1_",i," / 2^1) % 2^2) |
244 |
|
|
245 | 248 |
EOF",sep="")) |
249 |
## Set CM_cloud2 to null if it is "01" (uncertain) |
|
250 |
# execGRASS("r.null",map=paste("CM_cloud2_",i,sep=""),setnull="-9999,1") |
|
246 | 251 |
|
247 | 252 |
## QA |
248 | 253 |
execGRASS("r.in.gdal",input=paste("HDF4_EOS:EOS_GRID:\"",file,"\":mod06:Quality_Assurance_1km_0",sep=""), |
... | ... | |
309 | 314 |
CER2_denom=",paste("!isnull(CER2_",1:nfs,")",sep="",collapse="+")," |
310 | 315 |
CER2_daily=int(CER2_numer/CER2_denom) |
311 | 316 |
CLD_daily=int((max(",paste("if(isnull(CM_cloud_",1:nfs,"),-9999,CM_cloud_",1:nfs,")",sep="",collapse=","),"))) |
317 |
CLD2_daily=int((min(",paste("if(isnull(CM_cloud2_",1:nfs,"),-9999,CM_cloud2_",1:nfs,")",sep="",collapse=","),"))) |
|
312 | 318 |
EOF",sep="")) |
313 |
execGRASS("r.null",map="CLD_daily",setnull="-9999") |
|
319 |
|
|
320 |
execGRASS("r.null",map="CLD_daily",setnull="-9999") |
|
321 |
execGRASS("r.null",map="CLD2_daily",setnull="-9999") |
|
314 | 322 |
|
315 | 323 |
|
316 | 324 |
### Write the files to a netcdf file |
317 | 325 |
## create image group to facilitate export as multiband netcdf |
318 |
execGRASS("i.group",group="mod06",input=c("CER_daily","CER2_daily","COT_daily","COT2_daily","CLD_daily")) ; print("") |
|
326 |
execGRASS("i.group",group="mod06",input=c("CER_daily","CER2_daily","COT_daily","COT2_daily","CLD_daily","CLD2_daily")) ; print("")
|
|
319 | 327 |
|
320 | 328 |
if(file.exists(ncfile)) file.remove(ncfile) #if it exists already, delete it |
321 | 329 |
execGRASS("r.out.gdal",input="mod06",output=ncfile,type="Int16",nodata=-32768,flags=c("quiet"), |
... | ... | |
339 | 347 |
system(paste("ncgen -o ",tempdir(),"/time.nc ",tempdir(),"/time.cdl",sep="")) |
340 | 348 |
system(paste(ncopath,"ncks -A ",tempdir(),"/time.nc ",ncfile,sep="")) |
341 | 349 |
## add other attributes |
342 |
system(paste(ncopath,"ncrename -v Band1,CER -v Band2,CER2 -v Band3,COT -v Band4,COT2 -v Band5,CLD ",ncfile,sep="")) |
|
350 |
system(paste(ncopath,"ncrename -v Band1,CER -v Band2,CER2 -v Band3,COT -v Band4,COT2 -v Band5,CLD -v Band6,CLD2 ",ncfile,sep=""))
|
|
343 | 351 |
system(paste(ncopath,"ncatted -a scale_factor,CER,o,d,0.01 -a units,CER,o,c,\"micron\" -a missing_value,CER,o,d,-32768 -a long_name,CER,o,c,\"Cloud Particle Effective Radius\" ",ncfile,sep="")) |
344 | 352 |
system(paste(ncopath,"ncatted -a scale_factor,CER2,o,d,0.01 -a units,CER2,o,c,\"micron\" -a missing_value,CER2,o,d,-32768 -a long_name,CER2,o,c,\"Cloud Particle Effective Radius with clear sky set to zero\" ",ncfile,sep="")) |
345 | 353 |
|
346 | 354 |
system(paste(ncopath,"ncatted -a scale_factor,COT,o,d,0.01 -a units,COT,o,c,\"none\" -a missing_value,COT,o,d,-32768 -a long_name,COT,o,c,\"Cloud Optical Thickness\" ",ncfile,sep="")) |
347 | 355 |
system(paste(ncopath,"ncatted -a scale_factor,COT2,o,d,0.01 -a units,COT2,o,c,\"none\" -a missing_value,COT2,o,d,-32768 -a long_name,COT2,o,c,\"Cloud Optical Thickness with clear sky set to zero\" ",ncfile,sep="")) |
348 |
system(paste(ncopath,"ncatted -a scale_factor,CLD,o,d,0.01 -a units,CLD,o,c,\"none\" -a missing_value,CLD,o,d,-32768 -a long_name,CLD,o,c,\"Cloud Mask\" ",ncfile,sep="")) |
|
349 |
# system(paste(ncopath,"ncatted -a sourcecode,global,o,c,",script," ",ncfile,sep="")) |
|
356 |
system(paste(ncopath,"ncatted -a scale_factor,CLD,o,d,1 -a units,CLD,o,c,\"none\" -a missing_value,CLD,o,d,-32768 -a long_name,CLD,o,c,\"Cloud Mask\" ",ncfile,sep="")) |
|
357 |
system(paste(ncopath,"ncatted -a scale_factor,CLD2,o,d,1 -a units,CLD2,o,c,\"none\" -a missing_value,CLD2,o,d,-32768 -a long_name,CLD2,o,c,\"Cloud Mask Flag\" ",ncfile,sep="")) |
|
358 |
|
|
359 |
# system(paste(ncopath,"ncatted -a sourcecode,global,o,c,",script," ",ncfile,sep="")) |
|
350 | 360 |
|
351 | 361 |
|
352 | 362 |
### delete the temporary files |
climate/procedures/Pleiades.R | ||
---|---|---|
1 | 1 |
#### Script to facilitate processing of MOD06 data |
2 |
|
|
2 |
|
|
3 | 3 |
setwd("/nobackupp1/awilso10/mod06") |
4 | 4 |
|
5 | 5 |
library(rgdal) |
... | ... | |
10 | 10 |
verbose=T |
11 | 11 |
|
12 | 12 |
## get MODLAND tile information |
13 |
txbb=read.table("http://landweb.nascom.nasa.gov/developers/sn_tiles/sn_bound_10deg.txt",skip=6,nrows=648,header=T)
|
|
13 |
tb=read.table("http://landweb.nascom.nasa.gov/developers/sn_tiles/sn_bound_10deg.txt",skip=6,nrows=648,header=T) |
|
14 | 14 |
tb$tile=paste("h",sprintf("%02d",tb$ih),"v",sprintf("%02d",tb$iv),sep="") |
15 | 15 |
save(tb,file="modlandTiles.Rdata") |
16 | 16 |
load("modlandTiles.Rdata") |
... | ... | |
27 | 27 |
|
28 | 28 |
### list of tiles to process |
29 | 29 |
tiles=c("h11v08","h21v09","h08v04","h09v04","h08v05","h09v05","h20v11","h31v11") |
30 |
tiles=tiles[c(5,7,8)]
|
|
30 |
tiles=tiles[1]
|
|
31 | 31 |
tile_bb=tb[tb$tile%in%tiles,] |
32 | 32 |
|
33 | 33 |
### get list of files to process |
... | ... | |
75 | 75 |
## identify which have been completed |
76 | 76 |
fdone=data.frame(path=list.files(outdir,pattern="nc$",recursive=T)) |
77 | 77 |
fdone$date=substr(basename(as.character(fdone$path)),14,21) |
78 |
fdone$tile=substr(basename(as.character(fdone$path)),14,21)
|
|
78 |
fdone$tile=substr(basename(as.character(fdone$path)),7,12)
|
|
79 | 79 |
|
80 | 80 |
## identify which date-tiles have already been run |
81 | 81 |
proclist$done=paste(proclist$tile,proclist$date,sep="_")%in%substr(basename(as.character(fdone$path)),7,21) |
82 | 82 |
|
83 | 83 |
### report on what has already been processed |
84 |
print(paste("Overview of completed tile-days (",round(sum(proclist$done)/nrow(proclist),2),"%)"))
|
|
84 |
print(paste(sum(!proclist$done)," out of ",nrow(proclist)," (",round(sum(!proclist$done)/nrow(proclist),2),"%) remain"))
|
|
85 | 85 |
table(tile=proclist$tile[proclist$done],year=proclist$year[proclist$done]) |
86 | 86 |
|
87 |
|
|
88 |
#updatedone=F #update the "done" list using the |
|
89 |
#if(updatedone&exists("fdly")){ #update using table from below |
|
90 |
# done[alldates%in%fdly$dateid[fdly$drop]]=F |
|
91 |
#} |
|
92 |
|
|
93 |
## Identify which dates still need to be processed |
|
94 |
## This vector will be used to tell mpiexec which days to include |
|
95 |
#notdone=alldates[!done] |
|
96 |
|
|
97 | 87 |
script="/u/awilso10/environmental-layers/climate/procedures/MOD06_L2_process.r" |
98 |
climatescript="/u/awilso10/environmental-layers/climate/procedures/MOD06_Climatology.r" |
|
99 | 88 |
|
100 | 89 |
## write the table processed by mpiexec |
101 | 90 |
write.table(paste("--verbose ",script," --date ",proclist$date[!proclist$done]," --verbose T --tile ",proclist$tile[!proclist$done],sep=""), |
... | ... | |
116 | 105 |
|
117 | 106 |
CORES=400 |
118 | 107 |
HDIR=/u/armichae/pr/ |
119 |
source $HDIR/etc/environ.sh |
|
108 |
# source $HDIR/etc/environ.sh |
|
109 |
source /u/awilso10/environ.sh |
|
120 | 110 |
source /u/awilso10/.bashrc |
121 | 111 |
IDIR=/nobackupp1/awilso10/mod06/ |
122 | 112 |
##WORKLIST=$HDIR/var/run/pxrRgrs/work.txt |
... | ... | |
141 | 131 |
### Now submit the script to generate the climatologies |
142 | 132 |
|
143 | 133 |
tiles |
144 |
ctiles=tiles[c(1,3)] #subset to only some tiles (for example if some aren't finished yet)? |
|
134 |
ctiles=tiles#[c(1,3)] #subset to only some tiles (for example if some aren't finished yet)?
|
|
145 | 135 |
climatescript="/u/awilso10/environmental-layers/climate/procedures/MOD06_Climatology.r" |
146 | 136 |
|
147 | 137 |
## write the table processed by mpiexec |
148 | 138 |
write.table(paste("--verbose ",climatescript," --verbose T --tile ",ctiles,sep=""), |
149 | 139 |
file=paste("notdone_climate.txt",sep=""),row.names=F,col.names=F,quote=F) |
150 | 140 |
|
141 |
## delay start until previous jobs have finished? |
|
142 |
delay=F |
|
143 |
## check running jobs to get JobID of job you want to wait for |
|
144 |
system("qstat -u awilso10") |
|
145 |
## enter JobID here: |
|
146 |
job="881394.pbspl1.nas.nasa.gov" |
|
147 |
|
|
151 | 148 |
### qsub script |
152 | 149 |
cat(paste(" |
153 | 150 |
#PBS -S /bin/bash |
154 |
#PBS -l select=1:ncpus=8:mpiprocs=8
|
|
151 |
#PBS -l select=50:ncpus=8:mpiprocs=8
|
|
155 | 152 |
##PBS -l select=2:ncpus=4:mpiprocs=4 |
156 | 153 |
#PBS -l walltime=5:00:00 |
157 | 154 |
#PBS -j n |
... | ... | |
159 | 156 |
#PBS -N mod06_climate |
160 | 157 |
#PBS -q normal |
161 | 158 |
#PBS -V |
159 |
",if(delay) paste("#PBS -W depend=afterany:",job,sep="")," |
|
162 | 160 |
|
163 |
CORES=8
|
|
161 |
CORES=400
|
|
164 | 162 |
HDIR=/u/armichae/pr/ |
165 |
source $HDIR/etc/environ.sh |
|
163 |
# source $HDIR/etc/environ.sh |
|
164 |
source /u/awilso10/environ.sh |
|
166 | 165 |
source /u/awilso10/.bashrc |
167 | 166 |
IDIR=/nobackupp1/awilso10/mod06/ |
168 | 167 |
##WORKLIST=$HDIR/var/run/pxrRgrs/work.txt |
Also available in: Unified diff
Updates to MOD06 Climatology Script and MDO06 processing to isolate the effects of the MOD35 -landcover bias