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; ***********************************************
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; xy_4.ncl
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; ***********************************************
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
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;************************************************
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begin
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;************************************************
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; read in data: observed
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;************************************************
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diri = "/fis/cgd/cseg/people/jeff/clamp_data/co2/"
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fili = "co2_globalView_222.nc"
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g = addfile (diri+fili,"r")
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val = g->CO2_SEAS
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lon = g->LON
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lat = g->LAT
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delete (g)
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ncase = dimsizes(lat)
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;print (ncase)
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;**************************************************************
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; get only the lowest level at each station
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;**************************************************************
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lat_tmp = lat
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lat_tmp@_FillValue = 1.e+36
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do n = 0,ncase-1
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if (.not. ismissing(lat_tmp(n))) then
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indexes = ind(lat(n) .eq. lat .and. lon(n) .eq. lon)
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if (dimsizes(indexes) .gt. 1) then
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lat_tmp(indexes(1:)) = lat_tmp@_FillValue
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end if
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delete (indexes)
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end if
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end do
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indexes = ind(.not. ismissing(lat_tmp))
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;print (indexes)
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lat_ob = lat(indexes)
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lon_ob = lon(indexes)
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val_ob = val(indexes,:)
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;printVarSummary (val_ob)
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;print (lat_ob +"/"+lon_ob)
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;************************************************
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; read in model data
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;************************************************
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diri2 = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
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fili2 = "b30.061m_401_425_MONS_climo.nc"
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g = addfile(diri2+fili2,"r")
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x = g->CO2
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xi = g->lon
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yi = g->lat
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xdim = dimsizes(x)
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nlev = xdim(1)
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y = x(:,0,:,:)
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; printVarSummary (y)
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; get the co2 at the lowest level
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y = x(:,nlev-1,:,:)
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; change to unit of observed (u mol/mol)
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; Model_units [=] kgCO2 / kgDryAir
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; 28.966 = molecular weight of dry air
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; 44. = molecular weight of CO2
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; u mol = 1e-6 mol
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factor = (28.966/44.) * 1e6
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y = y * factor
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y@_FillValue = 1.e36
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y@units = "u mol/mol"
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; y = where(y0 .lt. 287.,y@_FillValue,y)
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; printVarSummary (y)
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; print (min(y)+"/"+max(y))
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; interpolate into observed station
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yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0)
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val_model = val_ob
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val_model = yo(pts|:,time|:)
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printVarSummary (val_model)
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print (min(val_model)+"/"+max(val_model))
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; remove annual mean
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val_model = val_model - conform(val_model,dim_avg(val_model),0)
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print (min(val_model)+"/"+max(val_model))
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exit
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;**************************************************************
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; get stations of 60N-90N
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;**************************************************************
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ind_1 = ind(lat_new .gt. 60.)
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print (ind_1)
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print (lat_new(ind_1)+"/"+lon_new(ind_1))
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print (val_new(ind_1(0),:))
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exit
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end
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