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

; 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"

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

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.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

  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 = val_ob

  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 = 4

  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

 u = ndtooned(val_ob(ind_z,:))

 v = ndtooned(val_model(ind_z,:))

 good = ind(.not.ismissing(u) .and. .not.ismissing(v))

 uu = u(good)

 vv = v(good)

 st = sta(ind_z)

 npts = dimsizes(st)

 print (npts)

 ccr = esccr(uu,vv,0)

;print (ccr)

 un =  onedtond(uu,(/npts,12/))

 vn =  onedtond(vv,(/npts,12/))

;print (un)

;print (vn)

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

 do n=0,npts-1

    amp_ob    = max(un(n,:)) - min(un(n,:)) 

    amp_model = max(vn(n,:)) - min(vn(n,:))

    score(n) = 1.-abs((amp_model/amp_ob)-1.)

;   print (amp_ob)

;   print (amp_model)  

 end do

;print (score)

 M = avg(score)

 print (M)

 M_total = (ccr*ccr + M)*0.5 * score_max

 print (M_total)

 delete (ind_z)

 delete (good)

 delete (u)

 delete (v)

 delete (uu)

 delete (vv)

 delete (un)

 delete (vn)

 delete (st) 

 delete (score)

 end do

end