co2/15.metric.ncl
author Forrest Hoffman <forrest@climatemodeling.org>
Mon, 26 Jan 2009 22:08:20 -0500
changeset 0 0c6405ab2ff4
permissions -rw-r--r--
Initial commit of C-LAMP Diagnostics from Jeff Lee
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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_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.nc"
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  fili2 = "b30.061n_1995-2004_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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; 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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     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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     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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     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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     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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 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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 end do
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end