1 | #v2=better management of memory for large resolution |
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2 | |
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3 | #RES=48x36 |
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4 | #RES=96x95 |
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5 | RES=144x142 |
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6 | |
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7 | #enlarge Sato file into a lat-lon field |
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8 | cdo enlarge,GRID/grid-giss-enlarged INPUT/tau_zm_NOAA-GISS.nc tmp0.nc |
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9 | |
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10 | #remap enlarged lat-lon field onto LMDZ CMIP5 grid |
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11 | cdo remapcon,GRID/grid-lmdz-lonlat_${RES} tmp0.nc tmp1.nc |
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12 | |
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13 | #regridding on the vertical |
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14 | rm -f regrid.pro |
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15 | cat << eod >> regrid.pro |
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16 | pro regrid |
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17 | filename1='tmp1.nc' |
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18 | NETCDFREAD,filename1,'tau',TAU |
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19 | NETCDFREAD,filename1,'lat',lat,dimlat0 |
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20 | NETCDFREAD,filename1,'lon',lon,dimlon0 |
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21 | NETCDFREAD,filename1,'time',time,dimtime0 |
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22 | NETCDFREAD,filename1,'altitude',altitude,dimaltitude |
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23 | dimlat=dimlat0(0) |
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24 | dimlon=dimlon0(0) |
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25 | dimtime=dimtime0(0) |
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26 | month_in_year=12 |
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27 | ; |
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28 | ;---approximate altitudes of LMDZ -L39 |
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29 | dimz=39 |
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30 | zz=fltarr(dimz) |
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31 | zz=[0.0338988, 0.1106602, 0.2139233, 0.3609663, 0.5685416, 0.8534464, $ |
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32 | 1.233232, 1.726868, 2.355076, 3.139813, 4.101937, 5.25541, 6.596076, $ |
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33 | 8.085103, 9.636482, 11.13441, 12.50023, 13.75765, 15.00424, 16.32207, $ |
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34 | 17.74403, 19.27899, 20.93219, 22.70941, 24.61736, 26.66389, 28.85831, $ |
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35 | 31.21178, 33.73778, 36.45278, 39.37709, 42.53607, 45.96209, 49.69786, $ |
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36 | 53.80379, 58.37727, 63.61497, 70.07092, 80.52708] |
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37 | zzi=fltarr(dimz+1) |
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38 | zzi(0)=0.0 |
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39 | for k=1, dimz-1 do begin |
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40 | zzi(k)=(zz(k-1)+zz(k))/2.0 |
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41 | endfor |
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42 | zzi(dimz)=100.00 |
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43 | print, 'zzi=',zzi |
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44 | lev=indgen(dimz)+1 |
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45 | ; |
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46 | dimzori=4 |
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47 | zziori=fltarr(dimzori+1) |
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48 | zziori=[15.,20.,25.,30.,35.] |
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49 | ; |
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50 | tau2=fltarr(dimlon,dimlat,dimz,month_in_year) |
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51 | ; |
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52 | for yr=0,dimtime/month_in_year-1 do begin |
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53 | ; |
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54 | tau2(*,*,*,*)=0.0 |
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55 | chyr=strcompress(1850+yr,/rem) |
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56 | print,'year=',chyr |
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57 | ; |
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58 | for k=0, dimz-1 do begin |
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59 | for kori=0, dimzori-1 do begin |
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60 | ;print, 'k=',k,' kori=',kori |
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61 | ; |
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62 | ;fraction de la maille kori qui se trouve dans la maille k |
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63 | frac= max([0.0,min([zzi(k+1),zziori(kori+1)])-max([zzi(k),zziori(kori)])])/(zziori(kori+1)-zziori(kori)) |
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64 | ; |
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65 | ;regridding |
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66 | for i=0,dimlon-1 do begin |
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67 | for j=0,dimlat-1 do begin |
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68 | for l=0,month_in_year-1 do begin |
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69 | tau2(i,j,k,l)=tau2(i,j,k,l)+tau(i,j,kori,yr*month_in_year+l)*frac |
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70 | endfor |
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71 | endfor |
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72 | endfor |
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73 | ; |
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74 | endfor |
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75 | endfor |
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76 | ; |
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77 | ;saving netcdf file |
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78 | ; |
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79 | taustruct={lon:fltarr(dimlon),lat:fltarr(dimlat), $ |
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80 | lev:fltarr(dimz),time:fltarr(month_in_year), $ |
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81 | taustrat:fltarr(dimlon,dimlat,dimz,month_in_year) } |
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82 | ; |
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83 | taustruct.lon=lon |
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84 | taustruct.lat=lat |
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85 | taustruct.lev=lev |
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86 | taustruct.time=float(indgen(month_in_year)+1) |
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87 | taustruct.taustrat=tau2 |
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88 | ; |
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89 | attributes = {units:strarr(5),long_name:strarr(5)} |
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90 | attributes.units = ['degrees_east','degrees_north','level','month','taustrat'] |
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91 | attributes.long_name = ['longitude','latitude','level', 'time', 'TAUSTRAT'] |
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92 | ; |
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93 | dimensions = {isdim:intarr(5), links:intarr(4,5)} |
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94 | dimensions.isdim = [1,1,1,1,0] ; (1=dimension, 0=variable) |
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95 | dimensions.links = [ [-1,-1,-1,-1],[-1,-1,-1,-1], $ |
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96 | [-1,-1,-1,-1],[-1,-1,-1,-1], $ |
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97 | [0,1,2,3] ] |
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98 | ; |
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99 | netcdfwrite,'/tmp15/obolmd/STRAT/OUTPUT_${RES}/taustrat.'+chyr+'.nc',taustruct,clobber=1, $ |
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100 | attributes=attributes, dimensions=dimensions |
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101 | ; |
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102 | endfor |
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103 | ; |
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104 | end |
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105 | eod |
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106 | # |
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107 | #--calling IDL |
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108 | # |
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109 | /opt/idl-6.4/idl/bin/idl << eod |
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110 | .r netcdf |
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111 | .r regrid |
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112 | regrid |
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113 | exit |
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114 | eod |
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115 | # |
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116 | # |
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117 | rm -f tmp0.nc tmp1.nc regrid.pro |
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