Dear Eric and ncl-users,
each grid point has a value. For a 3-d time series (nlev x nlat x mlon) the
(0,0,0) grid point has the value 48.955, (0,1,0) 54.956, e.t.c.
Using the onedtond function both (0,0,0) and (0,1,0) give me the same value,
48.955.
 
I wonder if there is a way to overcome this problem..
 
Thanks a lot..
 
Ioannis
 
From: Rick Brownrigg [mailto:brownrig@ucar.edu] 
Sent: Thursday, July 25, 2013 6:45 PM
To: Ioannis Koletsis
Cc: ncl-talk@ucar.edu
Subject: Re: Onedtond problem
 
Hi,
 
As near as I can tell, "windprop" is a scalar value, not an array.  So
onedtond would simply fill whatever sized array with that one value each
time through the loops.  I'm a bit confused as to what you mean by "The
desired results would be (0,0,0) 1st value, (0,1,0) 2nd etc"  ?
 
Rick
 
On Jul 25, 2013, at 7:17 AM, "Ioannis Koletsis" <koletsis@noa.gr> wrote:
Dear ncl users,
I calculate the windpop variable for each grid point using do loops..
In order to plot the windpop values, I need to convert the windpop from 1-d
to 3-d (nlev,nlat,mlon)..
I use the onedtond function and the new variable wp has the right dimensions
(1x89x184). However, the values did not correspond with the right values..
The first value which belongs to first grid point (0,0,0) was repeated for
16376 times (up to (0,89,184) grid point), then the same is applied to the
second value etc.
The desired results would be (0,0,0) 1st value, (0,1,0) 2nd etc
 
I can't understand where is the error..
Has anybody got any idea?
 
Any help would be appreciated
 
The source files are available at
 
<http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1961-19
70_wss.nc.gz>
http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1961-197
0_wss.nc.gz
 
<http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1971-19
80_wss.nc.gz>
http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1971-198
0_wss.nc.gz
 
<http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1981-19
90_wss.nc.gz>
http://ensemblesrt3.dmi.dk/data/A2/C4I/DM/C4IRCA3_A2_ECHAM5_DM_25km_1981-199
0_wss.nc.gz
for free download.
 
 
 
Attached script
 
;*************************************************
; Plot wind power potential over Mediterranean
;*************************************************
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
 
begin
 
;=======================================================
; Variables definition and files handling
;=======================================================
 
  DataDir = "/data3/koletsis/Current/A2/"
  Files = systemfunc ( " ls " + DataDir + \
         "C4IRCA3_A2_ECHAM5_DM_*.nc")
  numFiles = dimsizes(Files)
  print(Files)
  print(" ")
 
  f1 = addfiles(Files,"r")
 
  time = f1[:]->time
  ws = f1[:]->wss
  ws@_FillValue = 1.e+30
 
  lat2d = f1[0]->lat
  lon2d = f1[0]->lon
  pollat = 39.25
  pollon = -162.0
 
;======================================================
; Choose time period
;======================================================
 
  time2 = ut_calendar(time, 0)
  time3 = ut_calendar(time, -2)     ; Date format
 
  year   = tointeger(time2(:,0))    ; Convert to integer
  month  = tointeger(time2(:,1))
  day    = tointeger(time2(:,2))
 
  beg_year =  1961
  end_year =  1990
  beg_month = 01
  end_month = 12
  beg_day   = 01
  end_day   = 31
 
  ymdStrt = beg_year*10000+beg_month*100+beg_day
  ymdLast = end_year*10000+end_month*100+end_day
 
  print("ymdStrt="+ymdStrt+" ymdLast="+ymdLast)
 
  itime = ind(time3.ge.ymdStrt.and.time3.le.ymdLast)
 
  if (ismissing(itime(0))) then                       ; Error message
  print("itime is missing:something is going wrong")
  exit
  end if
 
;======================================================================
; Select the subregion (Mediterranean Area)
;======================================================================
 
  latS  = 30
  latN  = 46
  lonW  = -10
  lonE  = 41
 
  ji = region_ind(lat2d,lon2d,latS,latN,lonW,lonE)
 
  jStrt = ji(0)
  jLast = ji(1)
  iStrt = ji(2)
  iLast = ji(3)
 
  llat2d = lat2d(jStrt:jLast,iStrt:iLast)
  llon2d = lon2d(jStrt:jLast,iStrt:iLast)
 
  ws2 = ws(itime,:,jStrt:jLast,iStrt:iLast)
  ws1 = 1.2697*ws2                      ; wind speed at hub height
  dimx = dimsizes(ws1)
  nlev = dimx(1)
  nlat = dimx(2)
  mlon = dimx(3)
 
;  npts = nlat*mlon
;  wpower = new((/nlev,nlat,mlon/),"string")
 
  npt = -1
 
  do kl = 0,nlev-1
   do nl = 0,nlat-1
    do ml = 0,mlon-1
   
    data = ws1(:,kl,nl,ml)
 
;======================================================================
; Calculate probability function
;======================================================================
 
  opt              = True
  opt@bin_spacing  = 0.2
 
  max_ws1 = max(data)
  min_ws1 = 0.
  nbins = floattointeger(((max_ws1 - min_ws1) / 0.2)+1) ; bins number
  wspdf = pdfx(data,nbins,opt)
;  printVarSummary(wspdf)
 
;=======================================================================
; Calculate cumulative density function
;=======================================================================
 
  xcumsum = cumsum(wspdf,2)
  xcumsum_Div = 99.99999                              ; in order to avoid
  xcumsum = where(xcumsum.ne.100,xcumsum,xcumsum_Div) ; impossible division
 
;=======================================================================
; Calculate Weibull parameters using least square method
;=======================================================================
 
  yi = log(log(1.0/(1.0 - (xcumsum/100))))
 
  if(any(isnan_ieee(yi))) then     ; in order to avoid nan result
  value = 2.230200812934578        ; in yi estimation
  replace_ieeenan(yi,value,0)
  yi@_FillValue = value
  end if
  yi_Zero = 0
  yi = where(yi.ne."-inf",yi,yi_Zero) ; set missing (zero) value -inf
 
  umaxiall = (/0.2,0.4,0.6,0.8,1.,1.2,1.4,1.6,1.8,2.,2.2,2.4,2.6,2.8,\
         3.,3.2,3.4,3.6,3.8,4.,4.2,4.4,4.6,4.8,5.,5.2,5.4,5.6,5.8,\
         6.,6.2,6.4,6.6,6.8,7.,7.2,7.4,7.6,7.8,8.,8.2,8.4,8.6,8.8,\
         9.,9.2,9.4,9.6,9.8,10.,10.2,10.4,10.6,10.8,11.,11.2,11.4,\
         11.6,11.8,12.,12.2,12.4,12.6,12.8,13.,13.2,13.4,13.6,13.8,\
         14.,14.2,14.4,14.6,14.8,15.,15.2,15.4,15.6,15.8,16.,16.2,\
         16.4,16.6,16.8,17.,17.2,17.4,17.6,17.8,18.,18.2,18.4,18.6,\
         18.8,19.,19.2,19.4,19.6,19.8,20.,20.2,20.4,20.6,20.8,21.,\
         21.2,21.4,21.6,21.8,22.,22.2,22.4,22.6,22.8,23.,23.2,23.4,\
         23.6,23.8,24.,24.2,24.4,24.6,24.8,25.,25.2,25.4,25.6,25.8,\
         26.,26.2,26.4,26.6,26.8,27.,27.2,27.4,27.6,27.8,28.,28.2,28.4,\
         28.6,28.8,29.,29.2,29.4,29.6,29.8,30.,30.2,30.4,30.6,30.8,\
         31.,31.2,31.4,31.6,31.8,32.,32.2,32.4,32.6,32.8,33.,33.2,\
         33.4,33.6,33.8,34.,34.2,34.4,34.6,34.8,35.,35.2,35.4,35.6,\
         35.8,36.,36.2,36.4,36.6,36.8,37.,37.2,37.4,37.6,37.8,38.,\
         38.2,38.4,38.6,38.8,39.,39.2,39.4,39.6,39.8,40./)
 
  umaxi = umaxiall(0:nbins-1)
 
  xi = log(umaxi)
  xiyi= xi*yi
 
  sumxy = sum(xiyi(0:nbins-1))
 
  sumy = sum(yi(0:nbins-1))
  sumx = sum(xi(0:nbins-1))
 
  xi2 = xi*xi
  sumx2 = sum(xi2(0:nbins-1))
 
  b1 = sumy * sumx2
  b2 = sumx * sumxy
  b3 = nbins * sumx2
  b4 = sumx * sumx
 
  b = (b1 - b2) / (b3 - b4)
 
  k1 = nbins * sumxy
  k2 = sumx * sumy
  k3 = nbins * sumx2
  k4 = b4
 
;========================================================================
; Weibull Shape Parameter k
;========================================================================
 
  k = (k1 - k2) / (k3 - k4)
 
;========================================================================
; Weibull Scale Parameter c
;========================================================================
 
  ratio = - (b / k)
 
  c = exp(ratio)
 
;========================================================================
; Calculate wind speed probability density function from 5 up to 25 m/s
;========================================================================
 
  df1 = (k / c)
 
  if(nbins.le.125) then
  df2 = (umaxiall(25:nbins) / c) ^ (k-1)
  df3 = -((umaxiall(25:nbins) / c) ^ k)
  else
  df2 = (umaxiall(25:125) / c) ^ (k-1)
  df3 = -((umaxiall(25:125) / c) ^ k)
  end if
 
  df4 = exp(df3)
 
  df = df1 * df2 * df4
 
  numdf = (dimsizes(df)) - 1
 
;========================================================================
; Calculate Wind Power Potential
;========================================================================
 
  ginol5a   = umaxiall(25) ^ 3          ; epeidh epilegw thn akrh toy bin
  if(nbins.le.125) then
  ginol25a  = umaxiall(nbins) ^ 3       ; to oloklirwma ypologizetai basei
  else
  ginol25a = umaxiall(125) ^ 3
  end if
 
  ginol5b   = df(0) * 0.2               ; methodoy toy Simpson
  ginol25b  = df(numdf) * 0.2
  ginol5    = ginol5a * ginol5b
  ginol25   = ginol25a * ginol25b
 
  if(nbins.le.125) then
  ginol1 = (umaxiall(25:nbins))^3
  else
  ginol1 = (umaxiall(25:125))^3
  end if
  
  ginol2 = df * 0.2
  ginol = ginol1 * ginol2
 
  sumol0 = sum(ginol)
  sumol = sumol0 + (0.5 * ginol25) - ginol5
 
  windpop = 0.5 * 1.225 * sumol
 
;  npt = npt+1
 
  wp = onedtond(windpop,(/nlev,nlat,mlon/))
 
;  printVarSummary(wp)
 
  delete([/wspdf,data,xcumsum,umaxi,yi,xi,xiyi,xi2,df2,df3,df4,\
           df,ginol1,ginol2,ginol/])
 
    end do
   end do
  end do
 
 
end
 
 
 
                                                       
 
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Received on Mon Jul 29 04:21:15 2013
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