[653] | 1 | import numpy as np |
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| 2 | from netCDF4 import Dataset as NetCDFFile |
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| 3 | import os |
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| 4 | import re |
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| 5 | from optparse import OptionParser |
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| 6 | import numpy.ma as ma |
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| 7 | |
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| 8 | # version |
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| 9 | version=1.1 |
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| 10 | |
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| 11 | # Filling values for floats, integer and string |
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| 12 | fillValueF = 1.e20 |
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| 13 | fillValueI = -99999 |
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| 14 | fillValueS = '---' |
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| 15 | |
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| 16 | # Length of the string variables |
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| 17 | StringLength = 200 |
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| 18 | |
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| 19 | # Size of the map for the complementary variables/maps |
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| 20 | Ndim2D = 100 |
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| 21 | |
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| 22 | main = 'create_OBSnetcdf.py' |
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| 23 | errormsg = 'ERROR -- error -- ERROR -- error' |
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| 24 | warnmsg = 'WARNING -- warning -- WARNING -- warning' |
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| 25 | |
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| 26 | fillValue = 1.e20 |
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| 27 | |
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| 28 | def searchInlist(listname, nameFind): |
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| 29 | """ Function to search a value within a list |
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| 30 | listname = list |
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| 31 | nameFind = value to find |
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| 32 | >>> searInlist(['1', '2', '3', '5'], '5') |
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| 33 | True |
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| 34 | """ |
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| 35 | for x in listname: |
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| 36 | if x == nameFind: |
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| 37 | return True |
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| 38 | return False |
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| 39 | |
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| 40 | |
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| 41 | def set_attribute(ncvar, attrname, attrvalue): |
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| 42 | """ Sets a value of an attribute of a netCDF variable. Removes previous attribute value if exists |
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| 43 | ncvar = object netcdf variable |
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| 44 | attrname = name of the attribute |
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| 45 | attrvalue = value of the attribute |
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| 46 | """ |
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| 47 | import numpy as np |
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| 48 | from netCDF4 import Dataset as NetCDFFile |
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| 49 | |
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| 50 | attvar = ncvar.ncattrs() |
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| 51 | if searchInlist(attvar, attrname): |
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| 52 | attr = ncvar.delncattr(attrname) |
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| 53 | |
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| 54 | attr = ncvar.setncattr(attrname, attrvalue) |
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| 55 | |
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| 56 | return ncvar |
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| 57 | |
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| 58 | def basicvardef(varobj, vstname, vlname, vunits): |
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| 59 | """ Function to give the basic attributes to a variable |
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| 60 | varobj= netCDF variable object |
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| 61 | vstname= standard name of the variable |
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| 62 | vlname= long name of the variable |
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| 63 | vunits= units of the variable |
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| 64 | """ |
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| 65 | attr = varobj.setncattr('standard_name', vstname) |
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| 66 | attr = varobj.setncattr('long_name', vlname) |
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| 67 | attr = varobj.setncattr('units', vunits) |
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| 68 | |
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| 69 | return |
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| 70 | |
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| 71 | ####### ###### ##### #### ### ## # |
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| 72 | |
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| 73 | fold='/media/ExtDiskD/DATA/obs/HyMeX/IOP15/HyMeX_rainfal/V2' |
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| 74 | |
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| 75 | lonvals = [] |
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| 76 | latvals = [] |
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| 77 | |
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| 78 | for day in range(19,23): |
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| 79 | if day == 22: |
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| 80 | Nhour = 1 |
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| 81 | else: |
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| 82 | Nhour = 24 |
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| 83 | for hour in range(0,Nhour): |
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| 84 | print day, hour |
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| 85 | filen = fold + '/geo_v2_201210' + str(day) + '{:02d}'.format(hour) + '_RR1.nc' |
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| 86 | onc = NetCDFFile(filen, 'r') |
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| 87 | opr = onc.variables['pracc'] |
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| 88 | olon = onc.variables['lon'] |
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| 89 | olat = onc.variables['lat'] |
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| 90 | |
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| 91 | lonv = olon[:] |
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| 92 | latv = olat[:] |
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| 93 | |
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| 94 | Npts = len(lonv) |
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| 95 | if day == 19 and hour == 0: |
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| 96 | Nptsorig = Npts |
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| 97 | lonvals = list(lonv) |
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| 98 | latvals = list(latv) |
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| 99 | heights = onc.variables['height'][:] |
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| 100 | praccsum = np.zeros((Npts), dtype=np.float) |
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| 101 | NOTfound = np.zeros((Npts), dtype=bool) |
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| 102 | nNOTfound = 0 |
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| 103 | |
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| 104 | found = np.zeros((Nptsorig), dtype=bool) |
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| 105 | |
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| 106 | nNotfounddate = 0 |
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| 107 | for ip in range(Npts): |
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| 108 | if searchInlist(lonvals, lonv[ip]) and searchInlist(latvals, latv[ip]): |
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| 109 | il = lonvals.index(lonv[ip]) |
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| 110 | if lonvals[il] == lonv[ip] and latvals[il] == latv[ip]: |
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| 111 | praccsum[il] = praccsum[il] + opr[ip] |
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| 112 | found[il] = True |
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| 113 | # print lonv[ip], latv[ip], ':', lonvals[il], latvals[il] |
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| 114 | else: |
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| 115 | # print 'Not in the first file!' |
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| 116 | nNotfounddate = nNotfounddate + 1 |
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| 117 | |
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| 118 | print 'On',day,'at',hour,'not found;',nNotfounddate,'stations from',Npts |
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| 119 | for ip in range(Nptsorig): |
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| 120 | if not found[ip] and not NOTfound[ip]: |
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| 121 | NOTfound[ip] = True |
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| 122 | nNOTfound = nNOTfound + 1 |
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| 123 | |
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| 124 | onc.close() |
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| 125 | |
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| 126 | print 'From originally',Nptsorig,'there are not continuosly records from:',nNOTfound |
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| 127 | #finalaccum = ma.masked_array(praccsum) |
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| 128 | for ip in range(Nptsorig): |
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| 129 | if NOTfound[ip]: |
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| 130 | praccsum[ip] = fillValueF |
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| 131 | |
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| 132 | # File creation |
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| 133 | newnc = NetCDFFile('accum.nc', 'w') |
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| 134 | |
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| 135 | # Dimensions definition |
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| 136 | newdim = newnc.createDimension('Npts',Nptsorig) |
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| 137 | |
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| 138 | # Variable creation |
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| 139 | newvar = newnc.createVariable('lon','f8',('Npts')) |
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| 140 | basicvardef(newvar, 'lon', 'Longitudes', 'degrees_East') |
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| 141 | newvar[:] = lonvals |
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| 142 | set_attribute(newvar,'axis','X') |
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| 143 | |
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| 144 | newvar = newnc.createVariable('lat','f8',('Npts')) |
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| 145 | basicvardef(newvar, 'lat', 'Latitudes', 'degrees_North') |
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| 146 | newvar[:] = latvals |
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| 147 | set_attribute(newvar,'axis','Y') |
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| 148 | |
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| 149 | # Total accumulation |
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| 150 | newvar = newnc.createVariable('pracc','f',('Npts'),fill_value=fillValueF) |
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| 151 | basicvardef(newvar, 'pracc', 'accumulated precipitation', 'kgm-2') |
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| 152 | newvar[:] = praccsum |
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| 153 | set_attribute(newvar,'coordinates','lon lat') |
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| 154 | |
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| 155 | # Global attributes |
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| 156 | ## |
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| 157 | filen = fold + '/geo_v2_2012101900_RR1.nc' |
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| 158 | onc = NetCDFFile(filen, 'r') |
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| 159 | |
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| 160 | attrs = onc.ncattrs() |
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| 161 | |
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| 162 | for attr in attrs: |
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| 163 | attrv = onc.getncattr(attr) |
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| 164 | set_attribute(newnc, attr, attrv) |
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| 165 | |
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| 166 | onc.close() |
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| 167 | |
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| 168 | newnc.sync() |
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| 169 | newnc.close() |
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