; ***********************************************

 ; xy_4.ncl

 ; ***********************************************

 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"

 load "/fis/cgd/cseg/people/jeff/clamp/co2/metrics_table.ncl"

 ;************************************************

 begin

 ;************************************************

 ; read in data: observed

 ;************************************************

  diri  = "/fis/cgd/cseg/people/jeff/clamp_data/co2/"

  fili  = "co2_globalView_98.nc"

  g     = addfile (diri+fili,"r")

  val   = g->CO2_SEAS  

  lon   = g->LON 

  lat   = g->LAT

  sta   = chartostring(g->STATION) 

  delete (g)

 ;print (sta(0))

  ncase = dimsizes(lat)

 ;print (ncase)

 ;**************************************************************

 ; get only the lowest level at each station 

 ;**************************************************************

  lat_tmp = lat

  lat_tmp@_FillValue = 1.e+36

  do n = 0,ncase-1

     if (.not. ismissing(lat_tmp(n))) then 

        indexes = ind(lat(n) .eq. lat .and. lon(n) .eq. lon)

        if (dimsizes(indexes) .gt. 1) then

           lat_tmp(indexes(1:)) = lat_tmp@_FillValue

        end if

        delete (indexes)

     end if

  end do

  indexes = ind(.not. ismissing(lat_tmp))

 ;print (dimsizes(indexes))

 ;print (indexes)

  lat_ob = lat(indexes)

  lon_ob = lon(indexes)

  val_ob = val(indexes,:)

 ;printVarSummary (val_ob)

 ;print (lat_ob +"/"+lon_ob)

 ;************************************************

 ; read in model data

 ;************************************************

   diri2 = "/fis/cgd/cseg/people/jeff/clamp_data/model/"

 ; fili2 = "b30.061m_401_425_MONS_climo_atm.nc"

   fili2 = "b30.061n_1995-2004_MONS_climo_atm.nc"

   g     = addfile(diri2+fili2,"r")

   x     = g->CO2

   xi    = g->lon

   yi    = g->lat

   xdim  = dimsizes(x)

   nlev  = xdim(1)

   y     = x(:,0,:,:)

 ; printVarSummary (y)

 ; get the co2 at the lowest level

   y     = x(:,nlev-1,:,:)

 ; change to unit of observed (u mol/mol)

 ; Model_units [=] kgCO2 / kgDryAir

 ; 28.966 = molecular weight of dry air

 ; 44.       = molecular weight of CO2

 ; u mol = 1e-6 mol

   factor = (28.966/44.) * 1e6

   y      = y * factor

   y@_FillValue = 1.e36

   y@units      = "u mol/mol"

 ; y = where(y0 .lt. 287.,y@_FillValue,y)

 ; printVarSummary (y)

 ; print (min(y)+"/"+max(y))

 ; interpolate into observed station

 ; note: model is 0-360E, 90S-90N

 ; to be able to handle observation at (-89.98,-24.80)

   print (yi(0))

   yi(0) = -90.

   i = ind(lon_ob .lt. 0.)

   lon_ob(i) = lon_ob(i) + 360.  

   yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0)

   val_model = yo(pts|:,time|:)

 ; printVarSummary (val_model)

 ; print (min(val_model)+"/"+max(val_model))

 ; remove annual mean

   val_model = val_model - conform(val_model,dim_avg(val_model),0)

 ; print (min(val_model)+"/"+max(val_model))

   nzone = 1

   do z = 0,nzone-1

   if (z .eq. 0) then 

 ;    maximum score for the zone, 60N-90N 

      score_max = 5.0

 ;    index of stations in this zone

      ind_z = ind(lat_ob .ge. 60.)

 ;    print (ind_z)

 ;    print (lat_ob(ind_z)+"/"+lon_ob(ind_z))

 ;    print (val_ob(ind_z,:))

 ;    print (val_model(ind_z,:))

   end if

   if (z .eq. 1) then 

 ;    maximum score for the zone, 30N-60N 

      score_max = 5.0

 ;    index of stations in this zone

      ind_z = ind(lat_ob .ge. 30. .and. lat_ob .lt. 60.)

 ;    print (ind_z)

 ;    print (lat_ob(ind_z)+"/"+lon_ob(ind_z))

 ;    print (val_ob(ind_z,:))

 ;    print (val_model(ind_z,:))

   end if

   if (z .eq. 2) then 

 ;    maximum score for the zone, EQ-30N 

      score_max = 5.0

 ;    index of stations in this zone

      ind_z = ind(lat_ob .ge. 0. .and. lat_ob .lt. 30.)

 ;    print (ind_z)

 ;    print (lat_ob(ind_z)+"/"+lon_ob(ind_z))

 ;    print (val_ob(ind_z,:))

 ;    print (val_model(ind_z,:))

   end if

   if (z .eq. 3) then 

 ;    maximum score for the zone, 90S-EQ 

      score_max = 5.0

 ;    index of stations in this zone

      ind_z = ind(lat_ob .lt. 0. )

 ;    print (ind_z)

 ;    print (lat_ob(ind_z)+"/"+lon_ob(ind_z))

 ;    print (val_ob(ind_z,:))

 ;    print (val_model(ind_z,:))

   end if

  npts = dimsizes(ind_z)

  print (npts)

  amp_ob        = new((/npts/),float)

  amp_model     = new((/npts/),float)

  amp_ratio_sta = new((/npts/),float)

  ccr_sta       = new((/npts/),float)

  M_sta         = new((/npts/),float)

  score_sta     = new((/npts/),float)

  do n=0,npts-1

     amp_ob(n)    = max(val_ob(ind_z(n),:)) - min(val_ob(ind_z(n),:)) 

     amp_model(n) = max(val_model(ind_z(n),:)) - min(val_model(ind_z(n),:))

     amp_ratio_sta(n) = amp_model(n)/amp_ob(n)

     ccr_sta(n) = esccr(val_ob(ind_z(n),:),val_model(ind_z(n),:),0)

     M_sta(n) = 1.-abs(amp_ratio_sta(n)-1.)

     score_sta(n) = (ccr_sta(n)*ccr_sta(n) + M_sta(n))*0.5 * score_max

     print (sta(ind_z(n))+"/"+lat(ind_z(n))+"/"+lon(ind_z(n))+"/"+amp_ratio_sta(n)+"/"+ccr_sta(n)+"/"+M_sta(n)+"/"+score_sta(n))  

  end do

  amp_ratio_zone = avg(amp_ratio_sta)

  ccr_zone       = avg(ccr_sta)

  M_zone   = 1.- (sum(abs(amp_model-amp_ob)/(amp_model+amp_ob))/npts) 

  score_zone   = (ccr_zone*ccr_zone + M_zone)*0.5 * score_max

  print (npts+"/"+amp_ratio_zone+"/"+ccr_zone+"/"+M_zone+"/"+score_zone)  

 ;****************************************************************************

 ; Cases [Model]

   case      = (/ "Lat", "Lon", "AR" /) 

   nCase     = dimsizes(case )                 ; # of Cases [Cases]

 ; variables compared

   var       = sta(ind_z) 

   nVar      = dimsizes(var)                   ; # of Variables

 ; "Case A"                        

   CA_ratio   = (/lat(ind_z)/)

 ; "Case B"                        

   CB_ratio   = (/lon(ind_z)/)

 ; "Case C"                        

   CC_ratio   = (/amp_ratio_sta/)

 ; arrays to be passed to taylor_diagram. It will calculate the x xnd y coordinates.

   ratio      = new ((/nCase, nVar/),typeof(CA_ratio) )  

   ratio(0,:) = CA_ratio 

   ratio(1,:) = CB_ratio

   ratio(2,:) = CC_ratio

 ;**************************************************

 ; fill an array for a "taylor metrics table"

 ;**************************************************

 ; season    = (/ "ANN" /)

 ; nSeason   = dimsizes(season)

   season    = (/ "" /)

   nSeason   = dimsizes(season)

   table     = new ( (/nCase,nVar/), typeof(ratio) )

   table(0,:) = CA_ratio

   table(1,:) = CB_ratio

   table(2,:) = CC_ratio

   tt_opt        = True

   tt_opt@pltType= "ps"                  ; "eps" [default], "pdf", "ps"

                                          ; "png", "gif" [if you have ImageMajik 'convert']

   tt_opt@tableTitle = "Station in 60N_90N"

   varSource =var

   metrics_table("metrics", varSource, case , table, tt_opt)

  delete (ind_z)

  delete (amp_model)

  delete (amp_ob)

  delete (amp_ratio_sta)

  delete (ccr_sta)

  delete (M_sta)

  delete (score_sta)

  end do

 end