[ncl-talk] fatal:divide: Division by 0, Can't continuefatal:Div: operator failed, can't continue fatal:["Execute.c":8635]:Execute: Error occurred at or near line 129
Rahpeni Fajarianti
rahpenifajarianti at gmail.com
Tue Dec 17 01:39:18 MST 2019
Hi all !
I want to make MJO clivar 14, but I have some problem.
This is :
fatal:divide: Division by 0, Can't continue
fatal:Div: operator failed, can't continue
fatal:["Execute.c":8635]:Execute: Error occurred at or near line 129
This is my script:
ncl 0> load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/diagnostics_cam.ncl"
ncl 1> ;******************************************************
u850 = dim_rmvmean_n(u850, 0)
u200 = dim_rmvmean_nncl 2> ;
(uncl 3> ; mjoclivar_14.ncl
ncl 4> ;
ncl 5> ;***********************************************************
ncl 6> ; Combined EOFs
hncl 7> ; Latest Update: July, 2016: Eun-Pa Lim; Bureau of Meteorology,
Australia
ncl 8> ;***********************************************************
iancncl 9> ;;
nncl 10> ;; The following are automatically loaded from 6.2.0 onward
ncl 11> ;;load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
ncl 12> ;;load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
ncl 13> ;;load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
ncl 14>
ncl 15> undef("read_rename")
ncl 16> function read_rename(f[1]:file, varName[1]:string \
ncl 16> ,iStrt[1]:integer, iLast[1]:integer \
ncl 16> ,latS[1]:numeric , latN[1]:numeric )
ncl 17> ; Utility to force specific named dimensions
ncl 18> ; This is done for historical reasons (convenience)
ncl 19> begin
ncl 20> work = f->$varName$(iStrt:iLast,{latS:latN},:) ;
(time,lat,lon)
ncl 21> work!0 = "time" ; CAM model
names
ncl 22> work!1 = "lat"
ncl 23> work!2 = "lon"
ncl 24> return(work)
ncl 25> end
ncl 26> ; =========================> MAIN <==============================
ncl 27> begin
ncl 28> neof = 2
ncl 29>
ncl 30> latS = -15
ncl 31> latN = 15
ncl 32>
ncl 33> ymdStrt = 20180101 ; start yyyymmdd
ncl 34> ymdLast = 20181231 ; last
ncl 35>
ncl 36> yrStrt = ymdStrt/10000
ncl 37> yrLast = ymdLast/10000
ncl 38>
ncl 39> pltDir = "/home/peni/" ; plot
directory
*ncl 40> pltType = "png"
ncl 41> pltName = "mjoclivar"
ncl 42>
,ncl 43> diri = "/home/peni/" ; input
directory
ncl 44>
ncl 45> filolr = "olr.day.anomalies.2018.nc"
ncl 46> filu200 = "uwnd.anomalies.nc"
ncl 47> filu850 = "uwnd2.anomalies.nc.nc"
ncl 48>
ncl 49> ;************************************************
ncl 50> ; create BandPass Filter
ncl 51> ;************************************************
ncl 52> ihp = 2 ; bpf=>band pass filter
ncl 53> nWgt = 201
ncl 54> sigma = 1.0 ; Lanczos sigma
ncl 55> fca = 1./100.
ncl 56> fcb = 1./20.
ncl 57> wgt = filwgts_lanczos (nWgt, ihp, fca, fcb, sigma )
ncl 58>
)ncl 59> ;***********************************************************
ncl 60> ; Find the indices corresponding to the start/end times
ncl 61> ;***********************************************************
ncl 62> f = addfile (diri+filolr , "r")
ncl 63> TIME = f->time ; days since ...
ncl 64>
ncl 65> YMD = cd_calendar(TIME, -2) ; entire (time,6)
ncl 66>
ncl 67> iStrt = ind(YMD.eq.ymdStrt) ; index start
ncl 68> iLast = ind(YMD.eq.ymdLast) ; index last
ncl 69> delete([/ TIME, YMD /])
ncl 70>
ncl 71> ;***********************************************************
ncl 72> ; Read anomalies
ncl 73> ;***********************************************************
ncl 74>
ncl 75> work = read_rename(f,"OLR_anom",iStrt,iLast,latS,latN) ;
(time,lat,lon)
ncl 76> OLR = dim_avg_n_Wrap(work, 1) ;
(time,lon)
ncl 77> delete(work)
ncl 78>
ncl 79> f = addfile (diri+filu850 , "r")
ncl 80> work = read_rename(f,"U_anom",iStrt,iLast,latS,latN) ;
(time,lat,lon)
ncl 81> U850 = dim_avg_n_Wrap(work, 1) ; (time,lon)
ncl 82> delete(work)
ncl 83>
ncl 84> f = addfile (diri+filu200 , "r")
ncl 85> work = read_rename(f,"U_anom",iStrt,iLast,latS,latN) ;
(time,lat,lon)
ncl 86> U200 = dim_avg_n_Wrap(work, 1) ; (time,lon)
ncl 87>
ncl 88> dimw = dimsizes( work )
ncl 89> ntim = dimw(0)
ncl 90> nlat = dimw(1)
ncl 91> mlon = dimw(2)
ncl 92> delete(work)
ncl 93>
ncl 94> lon = OLR&lon
ncl 95> time = OLR&time
ncl 96> date = cd_calendar(time, -2) ; yyyymmdd
ncl 97>
ncl 98> ;************************************************
ncl 99> ; Apply the band pass filter to the original anomalies
ncl 100> ;************************************************
ncl 101> olr = wgt_runave_n_Wrap ( OLR, wgt, 0, 0) ; (time,lon)
)
;************************************************
imax_olr_eof1 = maxind(ceof(0,0,:))
imax_olr_eof2 ncl 102> u850 = wgt_runave_n_Wrap (U850, wgt, 0, 0)
ncl 103> u200 = wgt_runave_n_Wrap (U200, wgt, 0, 0)
ncl 104>
ncl 105> ;************************************************
ncl 106> ; remove temporal means of band pass series: *not* necessary
ncl 107> ;************************************************
ncl 108> olr = dim_rmvmean_n( olr, 0) ; (time,lon)
ncl 109> u850 = dim_rmvmean_n(u850, 0)
ncl 110> u200 = dim_rmvmean_n(u200, 0)
ncl 111>
ncl 112> ;************************************************
ncl 113> ; Compute the temporal variance at each lon
ncl 114> ;************************************************
ncl 115> var_olr = dim_variance_n_Wrap( olr, 0) ; (lon)
ncl 116> var_u850 = dim_variance_n_Wrap(u850, 0)
ncl 117> var_u200 = dim_variance_n_Wrap(u200, 0)
ncl 118>
ncl 119> ;************************************************
ncl 120> ; Compute the zonal mean of the temporal variance
Oncl 121> ;************************************************
ncl 122> zavg_var_olr = dim_avg_n_Wrap( var_olr , 0)
ncl 123> zavg_var_u850 = dim_avg_n_Wrap( var_u850, 0)
ncl 124> zavg_var_u200 = dim_avg_n_Wrap( var_u200, 0)
ncl 125>
ncl 126> ;************************************************
ncl 127> ; Normalize by sqrt(avg_var*)
ncl 128> ;************************************************
ncl 129> olr = olr/sqrt(zavg_var_olr ) ; (time,lon)
ncl 130> u850 = u850/sqrt(zavg_var_u850)
ncl 131> u200 = u200/sqrt(zavg_var_u200)
ncl 132>
cncl 133> ;************************************************
ncl 134> ; Combine the normalized data into one variable
ncl 135> ;************************************************
ncl 136> cdata = new ( (/3*mlon,ntim/), typeof(olr),
getFillValue(olr))
ncl 137> do ml=0,mlon-1
ncl 138> cdata(ml ,:) = (/ olr(:,ml) /)
ncl 139> cdata(ml+ mlon,:) = (/ u850(:,ml) /)
ncl 140> cdata(ml+2*mlon,:) = (/ u200(:,ml) /)
ncl 141> end do
ncl 142>
=ncl 143> ;************************************************
ncl 144> ; Compute **combined** EOF; Sign of EOF is arbitrary
ncl 145> ;************************************************
ncl 146> eof_cdata = eofunc(cdata , neof, False) ; (neof,3*mlon)
ncl 147> print("==============")
ncl 148> printVarSummary(eof_cdata)
ncl 149> printMinMax(eof_cdata, True)
ncl 150>
ncl 151> eof_ts_cdata = eofunc_ts(cdata,eof_cdata,False) ; (neof,3*ntim)
ncl 152> print("==============")
ncl 153> printVarSummary(eof_ts_cdata)
ncl 154> printMinMax(eof_ts_cdata, True)
ncl 155>
incl 156> ;************************************************
ncl 157> ; For clarity, explicitly extract each variable. Create time
series
ncl 158> ;************************************************
ncl 159>
tncl 160> nvar = 3 ; "olr", "u850", "u200"
ncl 161> ceof = new( (/nvar,neof,mlon/), typeof(cdata),
getFillValue(cdata))
ncl 162>
dncl 163> do n=0,neof-1
ncl 164> ceof(0,n,:) = eof_cdata(n,0:mlon-1) ; olr
ncl 165> ceof(1,n,:) = eof_cdata(n,mlon:2*mlon-1) ; u850
ncl 166> ceof(2,n,:) = eof_cdata(n,2*mlon:) ; u200
ncl 167> end do
ncl 168>
(ncl 169> ceof!0 = "var"
ncl 170> ceof!1 = "eof"
ncl 171> ceof!2 = "lon"
ncl 172> ceof&lon = olr&lon
ncl 173>
incl 174> ceof_ts = new( (/nvar,neof,ntim/), typeof(cdata),
getFillValue(cdata))
ncl 175> ceof_ts(0,:,:) = eofunc_ts_Wrap(
olr(lon|:,time|:),ceof(0,:,:),False) ; (0,neof,ntim)
ncl 176> ceof_ts(1,:,:) =
eofunc_ts_Wrap(u850(lon|:,time|:),ceof(1,:,:),False) ; (1,neof,ntim)
ncl 177> ceof_ts(2,:,:) =
eofunc_ts_Wrap(u200(lon|:,time|:),ceof(2,:,:),False) ; (2,neof,ntim)
ncl 178>
ncl 179> ;**********************************************t*
ncl 180> ; Add code contributed by Marcus N. Morgan, Florida Institute of
Technology; Feb 2015
ncl 181> ; Calculate % variance (pcv_ )accounted for by OLR, U850 and U200
ncl 182> ;************************************************
ncl 183>
ncl 184> pcv_eof_olr = new(neof,typeof(ceof))
ncl 185> pcv_eof_u850 = new(neof,typeof(ceof))
ncl 186> pcv_eof_u200 = new(neof,typeof(ceof))
ncl 187>
ncl 188> do n=0,neof-1
ncl 189> pcv_eof_olr(n) = avg((ceof(0,n,:)*sqrt(ceof at eval
(n)))^2)*100
ncl 190> pcv_eof_u850(n) = avg((ceof(1,n,:)*sqrt(ceof at eval
(n)))^2)*100
ncl 191> pcv_eof_u200(n) = avg((ceof(2,n,:)*sqrt(ceof at eval
(n)))^2)*100
ncl 192> ;;print("pcv: neof="+(n+1)+": "+pcv_eof_olr(n)+"
"+pcv_eof_u850(n)+" "+pcv_eof_u200(n))
ncl 193> end do
ncl 194>
ncl 195> ;************************************************
ncl 196> ; Change sign of EOFs for spatial structures of PC1 and PC2
ncl 197> ; to represent convection over the tropical Indian Ocean and the
tropical western Pacific Ocean, respectively
ncl 198> ; (Ad hoc approach)
ncl 199> ;************************************************
ncl 200>
ncl 201> imax_olr_eof1 = maxind(ceof(0,0,:))
ncl 202> imax_olr_eof2 = maxind(ceof(0,1,:))
ncl 203>
)ncl 204> lonmax_eof1 = ceof&lon(imax_olr_eof1) ; longitude of max
value (i.e. suppressed convection)
ncl 205> lonmax_eof2 = ceof&lon(imax_olr_eof2)
ncl 206>
sncl 207> if (lonmax_eof1.ge.60 .and. lonmax_eof1.lt.180) then ; Change
the sign of EOF1
ncl 208> ceof(:,0,:) = -ceof(:,0,:) ; if OLR
is positive
ncl 209> ceof_ts(:,0,:) = -ceof_ts(:,0,:) ; over
the tropical Indian Ocean
ncl 210> eof_cdata(0,:) = -eof_cdata(0,:)
ncl 211> eof_ts_cdata(0,:) = -eof_ts_cdata(0,:)
ncl 212> end if
ncl 213>
encl 214> if (lonmax_eof2.ge.120 .and. lonmax_eof2.lt.180) then ; Change
the sign of EOF2
ncl 215> ceof(:,1,:) = -ceof(:,1,:) ; if OLR
is positive
ncl 216> ceof_ts(:,1,:) = -ceof_ts(:,1,:) ; over
the tropical western Pacific Ocean
ncl 217> eof_cdata(1,:) = -eof_cdata(1,:)
ncl 218> eof_ts_cdata(1,:) = -eof_ts_cdata(1,:)
ncl 219> end if
ncl 220>
ncl 221> print("==============")
rncl 222> printVarSummary(eof_cdata)
ncl 223> printMinMax(eof_cdata, True)
ncl 224>
ncl 225> ;************************************************
ncl 226> ; Compute cross correlation of each variable's EOF time series at
zero-lag
ncl 227> ;************************************************
ncl 228> r_olr_u850 = escorc(ceof_ts(0,:,:) , ceof_ts(1,:,:) ) ; (neof)
ncl 229> r_olr_u200 = escorc(ceof_ts(0,:,:) , ceof_ts(2,:,:) )
ncl 230> r_u850_u200 = escorc(ceof_ts(1,:,:) , ceof_ts(2,:,:) )
ncl 231>
sncl 232> print("==============")
ncl 233> do n=0,neof-1
ncl 234> print("neof="+n \
ncl 234> +" r_olr_u850=" +sprintf("%4.3f",r_olr_u850(n)) \
ncl 234> +" r_olr_u200=" +sprintf("%4.3f",r_olr_u200(n)) \
ncl 234> +" r_u850_u200="+sprintf("%4.3f",r_u850_u200(n)) )
ncl 235> end do
ncl 236> print("==============")
ncl 237>
ncl 238> ;************************************************
5N: "+yrStrt+"-"+yrLast
do ncl 239> ; Compute cross correlation of the multivariate EOF; EOF 1 vs
EOF 2
ncl 240> ;************************************************
ncl 241>
ncl 242> mxlag = 25
ncl 243> rlag_01 = esccr(eof_ts_cdata(0,:),eof_ts_cdata(1,:), mxlag)
; (N,mxlag+1)
ncl 244> rlag_10 = esccr(eof_ts_cdata(1,:),eof_ts_cdata(0,:), mxlag)
; (N,mxlag+1)
ncl 245> ccr_12 = new ( (/2*mxlag+1/), float)
ncl 246>
cncl 247> ccr_12(mxlag:) = rlag_10(0:mxlag)
ncl 248> ccr_12(0:mxlag) = rlag_01(::-1) ; reverse order
ncl 249> ;;print(ccr_12)
ncl 250>
sncl 251>
Pncl 252> ;************************************************
ncl 253> ; Normalize the multivariate EOF 1&2 component time series
ncl 254> ; Compute (PC1^2+PC2^2): values > 1 indicate "strong" periods
ncl 255> ;************************************************
ncl 256> eof_ts_cdata(0,:) = eof_ts_cdata(0,:)/stddev(eof_ts_cdata(0,:))
ncl 257> eof_ts_cdata(1,:) = eof_ts_cdata(1,:)/stddev(eof_ts_cdata(1,:))
ncl 258>
ncl 259> mjo_ts_index = eof_ts_cdata(0,:)^2 + eof_ts_cdata(1,:)^2
ncl 260> mjo_ts_index_smt = runave(mjo_ts_index, 91, 0) ; 91-day running
mean
ncl 261>
ncl 262> nGood = num(.not.ismissing(mjo_ts_index)) ; # non-missing
ncl 263> nStrong = num(mjo_ts_index .ge. 1.0)
ncl 264> print("nGood="+nGood+" nStrong="+nStrong+"
nOther="+(nGood-nStrong))
ncl 265>
rncl 266> ;************************************************
ncl 267> ; Write PC results to netCDF for use in another example.
ncl 268> ;************************************************
ncl 269> mjo_ts_index!0 = "time"
ncl 270> mjo_ts_index&time = time
ncl 271> mjo_ts_index at long_name = "MJO PC INDEX"
ncl 272> mjo_ts_index at info = "(PC1^2 + PC2^2)"
ncl 273>
ncl 274> PC1 = eof_ts_cdata(0,:)
ncl 275> PC1!0 = "time"
ncl 276> PC1&time = time
ncl 277> PC1 at long_name = "PC1"
ncl 278> PC1 at info = "PC1/stddev(PC1)"
ncl 279>
oncl 280> PC2 = eof_ts_cdata(1,:)
ncl 281> PC2!0 = "time"
ncl 282> PC2&time = time
ncl 283> PC2 at long_name = "PC2"
ncl 284> PC2 at info = "PC2/stddev(PC2)"
ncl 285>
ncl 286> diro = "./"
ncl 287> filo = "MJO_PC_INDEX.nc"
ncl 288> system("/bin/rm -f "+diro+filo) ; remove any pre-existing file
ncl 289> ncdf = addfile(diro+filo,"c") ; open output netCDF file
of legend.
ncl 290> ; make time an UNLIMITED
dimension
ncl 291> filedimdef(ncdf,"time",-1,True) ; recommended for most
applications
ncl 292> ; output variables directly
ncl 293> ncdf->MJO_INDEX = mjo_ts_index
ncl 294> ncdf->PC1 = PC1
ncl 295> ncdf->PC2 = PC2
ncl 296>
ncl 297> ;------------------------------------------------------------
ncl 298> ; PLOTS
ncl 299> ;------------------------------------------------------------
ncl 300>
ncl 301> yyyymmdd = cd_calendar(time, -2)
tncl 302> yrfrac = yyyymmdd_to_yyyyfrac(yyyymmdd, 0.0)
ncl 303> delete([/ yrfrac at long_name, lon at long_name /])
ncl 304>
ncl 305> day = ispan(-mxlag, mxlag, 1)
ncl 306> ;day at long_name = "lag (day)"
ncl 307>
ncl 308> pltPath = pltDir+pltName
ncl 309>
ncl 310> wks = gsn_open_wks(pltType,pltPath)
ncl 311> gsn_define_colormap(wks,"default")
ncl 312> plot = new(3,graphic)
ncl 313>
ncl 314> ;************************************************
ncl 315> ; Multivariate EOF plots
ncl 316> ;************************************************
ncl 317> rts = True
ncl 318> rts at gsnDraw = False ; don't draw yet
ncl 319> rts at gsnFrame = False ; don't advance frame yet
ncl 320> rts at gsnScale = True ; force text scaling
ncl 321>
ncl 322> rts at vpHeightF = 0.40 ; Changes the aspect ratio
ncl 323> rts at vpWidthF = 0.85
ncl 324> rts at vpXF = 0.10 ; change start locations
ncl 325> rts at vpYF = 0.75 ; the plot
ncl 326> rts at xyLineThicknesses = (/2, 2, 2/)
ncl 327> rts at xyLineColors = (/"black","red","blue"/)
ncl 328> rts at gsnYRefLine = 0. ; reference line
ncl 329> rts at trXMaxF = max(lon)
ncl 330> rts at trXMinF = min(lon)
ncl 331>
ncl 332> rts at pmLegendDisplayMode = "Always" ; turn on legend
ncl 333> rts at pmLegendSide = "Top" ; Change
location of
ncl 334> rts at pmLegendParallelPosF = 1.16 ; move units
right
ncl 335> rts at pmLegendOrthogonalPosF = -0.50 ; move units
down
ncl 336> rts at pmLegendWidthF = 0.15 ; Change width
and
ncl 337> rts at pmLegendHeightF = 0.15 ; height of
legend.
ncl 338> rts at lgLabelFontHeightF = 0.0175
ncl 339>
ncl 340>
ncl 341> rtsP = True ; modify the
panel plot
ncl 342> ; rtsP at gsnMaximize = True ; large format
ncl 343> rtsP at gsnPanelMainString = "Multivariate EOF: 15S-15N:
"+yrStrt+"-"+yrLast
ncl 344>
ncl 345> do n=0,neof-1
ncl 346> rts at xyExplicitLegendLabels = (/"OLR: "+sprintf("%4.1f",
pcv_eof_u200(n)) +"%" \
ncl 346> ,"U850: "+sprintf("%4.1f",
pcv_eof_u850(n))+"%" \
ncl 346> ,"U200: "+sprintf("%4.1f",
pcv_eof_olr(n))+"%" /)
ncl 347> rts at gsnLeftString = "EOF "+(n+1)
ncl 348> rts at gsnRightString = sprintf("%3.1f",ceof at pcvar(n)) +"%"
ncl 349> plot(n) = gsn_csm_xy (wks,lon,ceof(:,n,:),rts)
ncl 350> end do
ncl 351> gsn_panel(wks,plot(0:1),(/2,1/),rtsP) ; now draw as one plot
ncl 352>
ncl 353> ;-----------------------------------------
ncl 354> ; The following doesn't work with some older versions of NCL
ncl 355> ; With old versions, the user must delete each individually.
ncl 356> ;-----------------------------------------
ncl 357> delete([/ rts at xyExplicitLegendLabels, rts at pmLegendDisplayMode \
ncl 357> , rts at xyLineThicknesses , rts at gsnLeftString \
ncl 357> , rts at gsnRightString , rts at xyLineColors \
ncl 357> , rts at trXMaxF , rts at trXMinF /]
)
ncl 358>
ncl 359> lag = ispan(-mxlag,mxlag,1)
ncl 360> lag at long_name = "lag (days)"
ncl 361>
ncl 362> plot(0) = gsn_csm_xy (wks, lag ,ccr_12,rts)
ncl 363> rtsP at gsnPanelMainString = "Cross Correlation: Multivariate
EOF: 15S-15N: " \
ncl 363> + yrStrt+"-"+yrLast
ncl 364> rtsP at gsnPaperOrientation = "portrait" ; force portrait
ncl 365> gsn_panel(wks,plot(0),(/1,1/),rtsP) ; now draw as one plot
ncl 366>
ncl 367> ;************************************************
ncl 368> ; MJO "strong" index
ncl 369> ;************************************************
ncl 370> rts at gsnYRefLine = 1.0
ncl 371> rts at gsnYRefLineColor = "black"
ncl 372> rts at xyMonoDashPattern = True
ncl 373> rts at xyLineColors = (/"black", "blue"/)
ncl 374> rts at xyLineThicknesses = (/1, 2/)
ncl 375> rts at pmLegendDisplayMode = "Always" ; turn on legend
ncl 376> rts at pmLegendWidthF = 0.12 ; Change width
and
ncl 377> rts at pmLegendHeightF = 0.10 ; height of
legend.
ncl 378> rts at pmLegendParallelPosF = 0.86 ; move units
right
ncl 379> rts at pmLegendOrthogonalPosF = -0.40 ; move units
down
ncl 380> rts at xyExplicitLegendLabels = (/"daily", "91-day runavg" /)
ncl 381>
ncl 382> mjo_ind_plt = new ( (/2,ntim/), typeof(mjo_ts_index))
ncl 383> mjo_ind_plt(0,:) = mjo_ts_index
ncl 384> mjo_ind_plt(1,:) = (/ mjo_ts_index_smt /)
ncl 385> plot(0) = gsn_csm_xy(wks, yrfrac,mjo_ind_plt,rts)
ncl 386>
ncl 387> rtsP at gsnPanelMainString = "MJO Index: (PC1^2+ PC2^2) :
15S-15N: "+yrStrt+"-"+yrLast
ncl 388> gsn_panel(wks,plot(0),(/1,1/),rtsP) ; now draw as one plot
ncl 389>
ncl 390> end
Thank you
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