Project

General

Profile

« Previous | Next » 

Revision b3344197

Added by Adam Wilson over 11 years ago

Move file outputs to /nobackupp1 instead of lou due to quota increase. First full 2009 summary

View differences:

climate/procedures/Pleiades_MOD35.R
19 19
## delete temporary log file that can grow to GB
20 20
system("rm /nobackupp1/awilso10/software/heg/TOOLKIT_MTD/runtime/LogStatus")
21 21

  
22

  
23
tile="h11v08"  # Venezuela
24
#tile="h11v07"  # Venezuela coast
25
#tile="h09v04"  # Oregon
26
tile="h21v09"  #Kenya
27

  
28 22
### list of tiles to process
29
tiles=c("h11v08","h21v09","h08v04","h09v04","h08v05","h09v05","h20v11","h31v11")
30 23
tiles=c("h10v08","h11v08","h12v08","h10v07","h11v07","h12v07")  # South America
31 24

  
32 25
## subset to MODLAND tiles
33
  modlandtiles=system("ls -r /nobackupp4/datapool/modis/MOD11A1.005/2010* | grep hdf$ | cut -c18-23 | sort | uniq - ",intern=T)
26
 modlandtiles=system("ls -r /nobackupp4/datapool/modis/MOD11A1.005/2010* | grep hdf$ | cut -c18-23 | sort | uniq - ",intern=T)
34 27
 tb$land=tb$tile%in%modlandtiles
35 28
tiles=tb$tile[tb$land]
36 29

  
......
43 36
outdir="daily/" #paste("daily/",tile,sep="")
44 37

  
45 38
##find swaths in region from sqlite database for the specified date/tile
46
## path to swath database
47
db="/nobackupp4/pvotava/DB/export/swath_geo.sql.sqlite3.db"
48
con=dbConnect("SQLite", dbname = db)
49
fs=do.call(rbind.data.frame,lapply(1:nrow(tile_bb),function(i){
50
  d=dbGetQuery(con,paste("SELECT * from swath_geo6
39
## this takes a while, about 30 minutes, so only rebuild if you need to update what's available...
40
rebuildswathtable=F
41
if(rebuildswathtable){
42
  ## path to swath database
43
  db="/nobackupp4/pvotava/DB/export/swath_geo.sql.sqlite3.db"
44
  con=dbConnect("SQLite", dbname = db)
45
  fs=do.call(rbind.data.frame,lapply(1:nrow(tile_bb),function(i){
46
    d=dbGetQuery(con,paste("SELECT * from swath_geo6
51 47
            WHERE east>=",tile_bb$lon_min[i]," AND
52 48
                  west<=",tile_bb$lon_max[i]," AND
53 49
                  north>=",tile_bb$lat_min[i]," AND
54 50
                  south<=",tile_bb$lat_max[i])
55
    )
56
  d$tile=tile_bb$tile[i]
57
  print(paste("Finished tile",tile_bb$tile[i]))
58
  return(d)
59
}))
60
con=dbDisconnect(con)
61
fs$id=substr(fs$id,7,19)
62

  
63
### Identify which swaths are available in the datapool
64
swaths=data.frame(path=list.files(datadir,pattern=paste("hdf$"),recursive=T,full=T),stringsAsFactors=F)  #all swaths in data pool
65
swaths$id=substr(basename(swaths$path),10,22)
66
fs$exists=fs$id%in%swaths$id 
67
fs$path=swaths$path[match(fs$id,swaths$id)]
68
  
51
      )
52
    d$tile=tile_bb$tile[i]
53
    print(paste("Finished tile",tile_bb$tile[i]))
54
    return(d)
55
  }))
56
  con=dbDisconnect(con)
57
  fs$id=substr(fs$id,7,19)
58

  
59
  ## Identify which swaths are available in the datapool
60
  swaths=data.frame(path=list.files(datadir,pattern=paste("hdf$"),recursive=T,full=T),stringsAsFactors=F)  #all swaths in data pool
61
  swaths$id=substr(basename(swaths$path),10,22)
62
  fs$exists=fs$id%in%swaths$id 
63
  fs$path=swaths$path[match(fs$id,swaths$id)]
64

  
65
  ## write tile-swath list to disk
66
  save(fs,swaths,file="swathtile.Rdata")
67
}
68

  
69
load("swathtile.Rdata")
70

  
69 71
if(verbose) print(paste("###############",nrow(fs)," swath IDs recieved from database"))
70 72

  
71 73
## get all unique dates
72 74
fs$dateid=format(as.Date(paste(fs$year,fs$day,sep=""),"%Y%j"),"%Y%m%d")
73
alldates=unique(fs$dateid[fs$exists])
75
#alldates=unique(fs$dateid[fs$exists])
74 76

  
75 77
#### Generate submission file
76 78
startdate="2000-03-01"
77 79
stopdate="2011-12-31"
78
## just 2005
79
startdate="2005-01-01"
80
stopdate="2005-12-31"
80
## just 2005-2010
81
startdate="2009-01-01"
82
stopdate="2009-12-31"
81 83

  
82 84
alldates=format(seq(as.Date(startdate),as.Date(stopdate),1),"%Y%m%d")
83 85

  
......
89 91
proclist$avail=paste(proclist$tile,proclist$date,sep="_")%in%paste(avail$tile,avail$date,sep="_")
90 92

  
91 93
## identify which have been completed
92
fdone=data.frame(path=system("ssh lou 'find MOD35/daily -name \"*.nc\"' ",intern=T))
93
#fdone=data.frame(path=list.files(outdir,pattern="nc$",recursive=T))
94
#fdone=data.frame(path=system("ssh lou 'find MOD35/daily -name \"*.nc\"' ",intern=T))
95
fdone=data.frame(path=list.files(outdir,pattern="nc$",recursive=T))
94 96
fdone$date=substr(basename(as.character(fdone$path)),14,21)
95 97
fdone$tile=substr(basename(as.character(fdone$path)),7,12)
96 98
proclist$done=paste(proclist$tile,proclist$date,sep="_")%in%substr(basename(as.character(fdone$path)),7,21)
......
98 100
### report on what has already been processed
99 101
print(paste(sum(!proclist$done)," out of ",nrow(proclist)," (",round(100*sum(!proclist$done)/nrow(proclist),2),"%) remain"))
100 102
table(tile=proclist$tile[proclist$done],year=proclist$year[proclist$done])
103
table(table(tile=proclist$tile[!proclist$done],year=proclist$year[!proclist$done]))
104

  
105
### explore tile counts
106
#x=table(tile=proclist$tile[proclist$done],year=proclist$year[proclist$done])
107
#x=x[order(rownames(x)),]
101 108

  
102 109
script="/u/awilso10/environmental-layers/climate/procedures/MOD35_L2_process.r"
103 110

  
......
111 118
### qsub script
112 119
cat(paste("
113 120
#PBS -S /bin/bash
114
#PBS -l select=100:ncpus=8:mpiprocs=8
115
##PBS -l select=20:ncpus=8:mpiprocs=8
116
#PBS -l walltime=5:00:00
117
##PBS -l walltime=2:00:00
121
##PBS -l select=100:ncpus=8:mpiprocs=8
122
#PBS -l select=10:ncpus=8:mpiprocs=8
123
##PBS -l walltime=8:00:00
124
#PBS -l walltime=2:00:00
118 125
#PBS -j n
119 126
#PBS -m be
120 127
#PBS -N mod35
121
#PBS -q normal
122
##PBS -q devel
128
##PBS -q normal
129
#PBS -q devel
123 130
#PBS -V
124 131

  
125
CORES=800
132
CORES=80
126 133
#CORES=160
127 134

  
128 135
HDIR=/u/armichae/pr/
......
147 154

  
148 155
## Submit it
149 156
system(paste("qsub mod35_qsub",sep=""))
157

  
150 158
system("qstat -u awilso10")
151 159

  
152 160
#######################################################
153 161
### Now submit the script to generate the climatologies
154 162

  
155 163
tiles
164
ctiles=c("h10v08","h11v08","h12v08","h10v07","h11v07","h12v07")  # South America
165

  
156 166
ctiles=tiles#[c(1:3)]  #subset to only some tiles (for example if some aren't finished yet)?
157 167
climatescript="/pleiades/u/awilso10/environmental-layers/climate/procedures/MOD35_Climatology.r"
158 168

  
159 169
## check which tiles have been processed and are on lou with a filename "MOD35_[tile].nc"
170
cdone=data.frame(path="",tile="")  #use this if you want to re-run everything
160 171
cdone=data.frame(path=sapply(strsplit(basename(
161 172
                   system("ssh lou 'find MOD35/summary -name \"MOD35_h[0-9][0-9]v[0-9][0-9].nc\"' ",intern=T)),split="_"),function(x) x[2]))
162 173
cdone$tile=substr(basename(as.character(cdone$path)),1,6)
163
print(paste(length(ctiles[!ctiles%in%cdone$tile]),"Tiles still need to be processed: /n ",ctiles[!ctiles%in%cdone$tile]))
174
print(paste(length(ctiles[!ctiles%in%cdone$tile]),"Tiles still need to be processed"))
164 175

  
165 176
## write the table processed by mpiexec
166 177
write.table(paste("--verbose ",climatescript," --verbose T --tile ",ctiles[!ctiles%in%cdone$tile],sep=""),
......
176 187
### qsub script
177 188
cat(paste("
178 189
#PBS -S /bin/bash
179
#PBS -l select=1:ncpus=16:mem=94
180
#PBS -l walltime=24:00:00
190
#PBS -l select=20:ncpus=8:mem=94
191
#PBS -l walltime=3:00:00
181 192
#PBS -j n
182 193
#PBS -m be
183 194
#PBS -N mod35_climate
184
#PBS -q ldan
195
#PBS -q normal
196
##PBS -q ldan
185 197
#PBS -V
186 198
",if(delay) paste("#PBS -W depend=afterany:",job,sep="")," 
187 199

  
188
CORES=16
200
CORES=160
189 201
HDIR=/u/armichae/pr/
190 202
  source $HDIR/etc/environ.sh
191 203
  source /pleiades/u/awilso10/environ.sh
......
220 232

  
221 233
system("ssh lou")
222 234
#scp `find MOD35/summary -name "MOD35_h[0-9][0-9]v[0-9][0-9].nc"` adamw@acrobates.eeb.yale.edu:/data/personal/adamw/projects/interp/data/modis/mod35/summary/
223
rsync -vv `find MOD35/summary -name "MOD35_h[0-9][0-9]v[0-9][0-9].nc"` adamw@acrobates.eeb.yale.edu:/data/personal/adamw/projects/interp/data/modis/mod35/summary/
235
system("rsync -cavv `find summary -name \"MOD35_h[0-9][0-9]v[0-9][0-9]_mean.nc\"` adamw@acrobates.eeb.yale.edu:/data/personal/adamw/projects/interp/data/modis/mod35/summary/")
224 236
exit
225 237

  
226 238

  

Also available in: Unified diff