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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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load "/fis/cgd/cseg/people/jeff/clamp/co2/metrics_table.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_98.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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sta = chartostring(g->STATION)
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delete (g)
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;print (sta(0))
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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 (dimsizes(indexes))
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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_atm.nc"
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fili2 = "b30.061n_1995-2004_MONS_climo_atm.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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; note: model is 0-360E, 90S-90N
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; to be able to handle observation at (-89.98,-24.80)
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print (yi(0))
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yi(0) = -90.
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i = ind(lon_ob .lt. 0.)
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lon_ob(i) = lon_ob(i) + 360.
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yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0)
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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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nzone = 4
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do z = 0,nzone-1
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if (z .eq. 0) then
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; maximum score for the zone, 60N-90N
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zone = "60N-90N"
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score_max = 5.0
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; index of stations in this zone
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ind_z = ind(lat_ob .ge. 60.)
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; print (ind_z)
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; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
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; print (val_ob(ind_z,:))
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; print (val_model(ind_z,:))
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end if
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if (z .eq. 1) then
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; maximum score for the zone, 30N-60N
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zone = "30N-60N"
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score_max = 5.0
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; index of stations in this zone
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ind_z = ind(lat_ob .ge. 30. .and. lat_ob .lt. 60.)
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; print (ind_z)
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; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
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; print (val_ob(ind_z,:))
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; print (val_model(ind_z,:))
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end if
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if (z .eq. 2) then
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; maximum score for the zone, EQ-30N
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zone = "EQ-30N"
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score_max = 5.0
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; index of stations in this zone
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ind_z = ind(lat_ob .ge. 0. .and. lat_ob .lt. 30.)
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; print (ind_z)
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; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
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; print (val_ob(ind_z,:))
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; print (val_model(ind_z,:))
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end if
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if (z .eq. 3) then
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; maximum score for the zone, 90S-EQ
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zone = "90S-EQ"
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score_max = 5.0
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; index of stations in this zone
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ind_z = ind(lat_ob .lt. 0. )
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; print (ind_z)
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; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
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; print (val_ob(ind_z,:))
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; print (val_model(ind_z,:))
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end if
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npts = dimsizes(ind_z)
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print (npts)
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amp_ob = new((/npts/),float)
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amp_model = new((/npts/),float)
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amp_ratio_sta = new((/npts/),float)
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ccr_sta = new((/npts/),float)
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M_sta = new((/npts/),float)
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score_sta = new((/npts/),float)
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do n=0,npts-1
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amp_ob(n) = max(val_ob(ind_z(n),:)) - min(val_ob(ind_z(n),:))
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amp_model(n) = max(val_model(ind_z(n),:)) - min(val_model(ind_z(n),:))
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amp_ratio_sta(n) = amp_model(n)/amp_ob(n)
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ccr_sta(n) = esccr(val_ob(ind_z(n),:),val_model(ind_z(n),:),0)
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M_sta(n) = 1.-abs(amp_ratio_sta(n)-1.)
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score_sta(n) = (ccr_sta(n)*ccr_sta(n) + M_sta(n))*0.5 * score_max
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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))
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end do
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amp_ratio_zone = avg(amp_ratio_sta)
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ccr_zone = avg(ccr_sta)
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M_zone = 1.- (sum(abs(amp_model-amp_ob)/(amp_model+amp_ob))/npts)
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score_zone = (ccr_zone*ccr_zone + M_zone)*0.5 * score_max
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print (npts+"/"+amp_ratio_zone+"/"+ccr_zone+"/"+M_zone+"/"+score_zone)
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;****************************************************************************
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; Cases [Model]
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case = (/"Latitude","Longitude","Amplitude Ratio", \
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"Correlation Coef","M score","Combined Score"/)
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nCase = dimsizes(case ) ; # of Cases [Cases]
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; variables compared
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var = sta(ind_z)
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nVar = dimsizes(var) ; # of Variables
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; arrays to be passed to diagram. It will calculate the x xnd y coordinates.
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case_value = new ((/nCase, nVar/),float )
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case_value(0,:) = (/lat(ind_z)/)
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case_value(1,:) = (/lon(ind_z)/)
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case_value(2,:) = (/amp_ratio_sta/)
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case_value(3,:) = (/ccr_sta/)
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case_value(4,:) = (/M_sta/)
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case_value(5,:) = (/score_sta/)
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;**************************************************
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; fill an array for a "metrics table"
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;**************************************************
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tt_opt = True
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tt_opt@pltType= "ps" ; "eps" [default], "pdf", "ps"
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; "png", "gif" [if you have ImageMajik 'convert']
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tt_opt@tableTitle = "Zone "+ zone
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plot_name = "co2." + zone
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metrics_table(plot_name, var, case , case_value, tt_opt)
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delete (ind_z)
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delete (amp_model)
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delete (amp_ob)
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delete (amp_ratio_sta)
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delete (ccr_sta)
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delete (M_sta)
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delete (score_sta)
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delete (var)
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delete (case_value)
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end do
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end
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