1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/co2/15.metric.ncl Mon Jan 26 22:08:20 2009 -0500
1.3 @@ -0,0 +1,191 @@
1.4 +; ***********************************************
1.5 +; xy_4.ncl
1.6 +; ***********************************************
1.7 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
1.8 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
1.9 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
1.10 +;************************************************
1.11 +begin
1.12 +;************************************************
1.13 +; read in data: observed
1.14 +;************************************************
1.15 + diri = "/fis/cgd/cseg/people/jeff/clamp_data/co2/"
1.16 + fili = "co2_globalView_98.nc"
1.17 + g = addfile (diri+fili,"r")
1.18 + val = g->CO2_SEAS
1.19 + lon = g->LON
1.20 + lat = g->LAT
1.21 + sta = chartostring(g->STATION)
1.22 + delete (g)
1.23 +
1.24 +;print (sta(0))
1.25 +
1.26 + ncase = dimsizes(lat)
1.27 +;print (ncase)
1.28 +
1.29 +;**************************************************************
1.30 +; get only the lowest level at each station
1.31 +;**************************************************************
1.32 + lat_tmp = lat
1.33 + lat_tmp@_FillValue = 1.e+36
1.34 +
1.35 + do n = 0,ncase-1
1.36 + if (.not. ismissing(lat_tmp(n))) then
1.37 + indexes = ind(lat(n) .eq. lat .and. lon(n) .eq. lon)
1.38 + if (dimsizes(indexes) .gt. 1) then
1.39 + lat_tmp(indexes(1:)) = lat_tmp@_FillValue
1.40 + end if
1.41 + delete (indexes)
1.42 + end if
1.43 + end do
1.44 +
1.45 + indexes = ind(.not. ismissing(lat_tmp))
1.46 +;print (dimsizes(indexes))
1.47 +;print (indexes)
1.48 +
1.49 + lat_ob = lat(indexes)
1.50 + lon_ob = lon(indexes)
1.51 + val_ob = val(indexes,:)
1.52 +;printVarSummary (val_ob)
1.53 +;print (lat_ob +"/"+lon_ob)
1.54 +
1.55 +;************************************************
1.56 +; read in model data
1.57 +;************************************************
1.58 + diri2 = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
1.59 +; fili2 = "b30.061m_401_425_MONS_climo.nc"
1.60 + fili2 = "b30.061n_1995-2004_MONS_climo.nc"
1.61 +
1.62 + g = addfile(diri2+fili2,"r")
1.63 + x = g->CO2
1.64 + xi = g->lon
1.65 + yi = g->lat
1.66 + xdim = dimsizes(x)
1.67 + nlev = xdim(1)
1.68 + y = x(:,0,:,:)
1.69 +; printVarSummary (y)
1.70 +
1.71 +; get the co2 at the lowest level
1.72 + y = x(:,nlev-1,:,:)
1.73 +
1.74 +; change to unit of observed (u mol/mol)
1.75 +; Model_units [=] kgCO2 / kgDryAir
1.76 +; 28.966 = molecular weight of dry air
1.77 +; 44. = molecular weight of CO2
1.78 +; u mol = 1e-6 mol
1.79 +
1.80 + factor = (28.966/44.) * 1e6
1.81 + y = y * factor
1.82 +
1.83 + y@_FillValue = 1.e36
1.84 + y@units = "u mol/mol"
1.85 +; y = where(y0 .lt. 287.,y@_FillValue,y)
1.86 +; printVarSummary (y)
1.87 +; print (min(y)+"/"+max(y))
1.88 +
1.89 +; interpolate into observed station
1.90 +; note: model is 0-360E, 90S-90N
1.91 +
1.92 +; to be able to handle observation at (-89.98,-24.80)
1.93 + print (yi(0))
1.94 + yi(0) = -90.
1.95 +
1.96 + i = ind(lon_ob .lt. 0.)
1.97 + lon_ob(i) = lon_ob(i) + 360.
1.98 +
1.99 + yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0)
1.100 +
1.101 + val_model = yo(pts|:,time|:)
1.102 +; printVarSummary (val_model)
1.103 +; print (min(val_model)+"/"+max(val_model))
1.104 +
1.105 +; remove annual mean
1.106 + val_model = val_model - conform(val_model,dim_avg(val_model),0)
1.107 +; print (min(val_model)+"/"+max(val_model))
1.108 +
1.109 + nzone = 4
1.110 + do z = 0,nzone-1
1.111 +
1.112 + if (z .eq. 0) then
1.113 +; maximum score for the zone, 60N-90N
1.114 + score_max = 5.0
1.115 +; index of stations in this zone
1.116 + ind_z = ind(lat_ob .ge. 60.)
1.117 +; print (ind_z)
1.118 +; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
1.119 +; print (val_ob(ind_z,:))
1.120 +; print (val_model(ind_z,:))
1.121 + end if
1.122 +
1.123 + if (z .eq. 1) then
1.124 +; maximum score for the zone, 30N-60N
1.125 + score_max = 5.0
1.126 +; index of stations in this zone
1.127 + ind_z = ind(lat_ob .ge. 30. .and. lat_ob .lt. 60.)
1.128 +; print (ind_z)
1.129 +; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
1.130 +; print (val_ob(ind_z,:))
1.131 +; print (val_model(ind_z,:))
1.132 + end if
1.133 +
1.134 + if (z .eq. 2) then
1.135 +; maximum score for the zone, EQ-30N
1.136 + score_max = 5.0
1.137 +; index of stations in this zone
1.138 + ind_z = ind(lat_ob .ge. 0. .and. lat_ob .lt. 30.)
1.139 +; print (ind_z)
1.140 +; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
1.141 +; print (val_ob(ind_z,:))
1.142 +; print (val_model(ind_z,:))
1.143 + end if
1.144 +
1.145 + if (z .eq. 3) then
1.146 +; maximum score for the zone, 90S-EQ
1.147 + score_max = 5.0
1.148 +; index of stations in this zone
1.149 + ind_z = ind(lat_ob .lt. 0. )
1.150 +; print (ind_z)
1.151 +; print (lat_ob(ind_z)+"/"+lon_ob(ind_z))
1.152 +; print (val_ob(ind_z,:))
1.153 +; print (val_model(ind_z,:))
1.154 + end if
1.155 +
1.156 + npts = dimsizes(ind_z)
1.157 + print (npts)
1.158 +
1.159 + amp_ob = new((/npts/),float)
1.160 + amp_model = new((/npts/),float)
1.161 +
1.162 + amp_ratio_sta = new((/npts/),float)
1.163 + ccr_sta = new((/npts/),float)
1.164 + M_sta = new((/npts/),float)
1.165 + score_sta = new((/npts/),float)
1.166 +
1.167 + do n=0,npts-1
1.168 + amp_ob(n) = max(val_ob(ind_z(n),:)) - min(val_ob(ind_z(n),:))
1.169 + amp_model(n) = max(val_model(ind_z(n),:)) - min(val_model(ind_z(n),:))
1.170 +
1.171 + amp_ratio_sta(n) = amp_model(n)/amp_ob(n)
1.172 + ccr_sta(n) = esccr(val_ob(ind_z(n),:),val_model(ind_z(n),:),0)
1.173 + M_sta(n) = 1.-abs(amp_ratio_sta(n)-1.)
1.174 + score_sta(n) = (ccr_sta(n)*ccr_sta(n) + M_sta(n))*0.5 * score_max
1.175 +
1.176 + 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))
1.177 + end do
1.178 +
1.179 + amp_ratio_zone = avg(amp_ratio_sta)
1.180 + ccr_zone = avg(ccr_sta)
1.181 + M_zone = 1.- (sum(abs(amp_model-amp_ob)/(amp_model+amp_ob))/npts)
1.182 + score_zone = (ccr_zone*ccr_zone + M_zone)*0.5 * score_max
1.183 +
1.184 + print (npts+"/"+amp_ratio_zone+"/"+ccr_zone+"/"+M_zone+"/"+score_zone)
1.185 +
1.186 + delete (ind_z)
1.187 + delete (amp_model)
1.188 + delete (amp_ob)
1.189 + delete (amp_ratio_sta)
1.190 + delete (ccr_sta)
1.191 + delete (M_sta)
1.192 + delete (score_sta)
1.193 + end do
1.194 +end