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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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plot_type = "ps"
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plot_type_new = "png"
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;------------------------------------------------------
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; edit table.html of current model for movel1_vs_model2
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if (isvar("compare")) then
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html_name2 = compare+"/table.html"
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html_new2 = html_name2 +".new"
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end if
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;------------------------------------------------------
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; edit table.html for current model
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html_name = model_name+"/table.html"
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html_new = html_name +".new"
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;---------------------------------
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; get model data: landfrac and area
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film_l = "lnd_"+ model_grid + ".nc"
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fm_l = addfile (dirs+film_l,"r")
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landfrac = fm_l->landfrac
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area0 = fm_l->area
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delete (fm_l)
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; change area from km**2 to m**2
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area0 = area0 * 1.e6
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;-----------------------------
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; take into account landfrac
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area0 = area0 * landfrac
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;--------------------------------------------
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; read model data
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fm = addfile (dirm+film1,"r")
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if (BGC .eq. "cn") then
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data1 = fm->LIVESTEMC
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data2 = fm->DEADSTEMC
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data3 = fm->LEAFC
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datamod0 = data1(0,:,:)
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datamod0 = data1(0,:,:) + data2(0,:,:) + data3(0,:,:)
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end if
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if (BGC .eq. "casa") then
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factor_WOODC = 0.7
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data1 = fm->WOODC
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data2 = fm->LEAFC
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datamod0 = data1(0,:,:)
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datamod0 = data1(0,:,:)*factor_WOODC + data2(0,:,:)
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end if
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; unit: gC/m2
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xm = fm->lon
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ym = fm->lat
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delete (fm)
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;------------------------------------------------
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; read amazon mask data
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dir_m = diro + "biomass/"
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fil_m = "amazon_mask_"+ model_grid + ".nc"
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fm = addfile (dir_m+fil_m,"r")
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mask_amazon0 = fm->mask_amazon
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delete (fm)
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;------------------------------------------------
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; read ob data
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ob_name = "LC15_Amazon_Biomass"
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dir_b = diro + "biomass/"
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fil_b = "amazon_biomass_"+model_grid+".nc"
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fo = addfile (dir_b+fil_b,"r")
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dataob = fo->BIOMASS
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xo = fo->lon
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yo = fo->lat
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delete (fo)
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;************************************************
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; Units for these variables are:
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; dataob : MgC/ha
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; datamod0 : gC/m2
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; We want to convert these to KgC/m2
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; ha = 100m*100m = 10,000 m2
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; MgC/ha*1000/10,000 = KgC/m2
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factor_aboveground = 0.5
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factor_unit_ob = 0.1
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factor_unit_mod = 0.001
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dataob = dataob * factor_aboveground * factor_unit_ob
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datamod0 = datamod0 * factor_unit_mod
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dataob@units = "KgC/m2"
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datamod0@units = "KgC/m2"
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dataob@long_name = "Amazon Biomass"
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datamod0@long_name = "Amazon Biomass"
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;********************************************************
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; get subset of datamod0 that match dataob
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nlon = dimsizes(xo)
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nlat = dimsizes(yo)
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ind_lonL = ind(xm .eq. xo(0))
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ind_lonR = ind(xm .eq. xo(nlon-1))
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ind_latS = ind(ym .eq. yo(0))
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ind_latN = ind(ym .eq. yo(nlat-1))
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datamod = dataob
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datamod(:,:) = datamod0(ind_latS:ind_latN,ind_lonL:ind_lonR)
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area = dataob
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area(:,:) = area0(ind_latS:ind_latN,ind_lonL:ind_lonR)
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mask_amazon = dataob
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mask_amazon(:,:) = mask_amazon0(ind_latS:ind_latN,ind_lonL:ind_lonR)
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mask_amazon@units = ""
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;********************************************************
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; sum over amazom_mask area:
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; Peta g = 1.e15 g = 1.e12 Kg
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factor_unit = 1.e-12
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; mask_amazon = where(mask_amazon .ge. 0.5, mask_amazon ,0.)
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Sum_area = sum(area*mask_amazon)*factor_unit
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Sum_ob = sum(dataob*area*mask_amazon)*factor_unit
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Sum_mod = sum(datamod*area*mask_amazon)*factor_unit
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avg_ob = Sum_ob /Sum_area
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avg_mod = Sum_mod/Sum_area
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Sum_biomass_ob = sprintf("%.2f",Sum_ob )
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Sum_biomass_mod = sprintf("%.2f",Sum_mod)
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;----------------------------------------------------------------------
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; contour plot res
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resg = True ; Use plot options
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resg@cnFillOn = True ; Turn on color fill
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resg@gsnSpreadColors = True ; use full colormap
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resg@cnLinesOn = False ; Turn off contourn lines
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resg@mpFillOn = False ; Turn off map fill
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resg@gsnAddCyclic = False
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resg@gsnSpreadColors = True ; use full colormap
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resg@cnLevelSelectionMode = "ManualLevels" ; Manual contour invtervals
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resg@mpMinLatF = -21.1 ; range to zoom in on
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resg@mpMaxLatF = 13.8
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resg@mpMinLonF = 277.28
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resg@mpMaxLonF = 326.43
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;------------------------------------------------------------------------
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; mask plot
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plot_name = "mask_ob"
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wks = gsn_open_wks (plot_type,plot_name) ; open workstation
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gsn_define_colormap(wks,"gui_default") ; choose colormap
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;-----------------------------------------
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; plot area sum
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gRes = True
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gRes@txFontHeightF = 0.02
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; gRes@txAngleF = 90
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189 |
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area_sum_text = "(mask area = "+sprintf("%.2f", Sum_area)+"e12 m2)"
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191 |
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gsn_text_ndc(wks,area_sum_text,0.50,0.80,gRes)
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;-----------------------------------------
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194 |
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resg@cnMinLevelValF = 0. ; Min level
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resg@cnMaxLevelValF = 1. ; Max level
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resg@cnLevelSpacingF = 0.1 ; interval
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198 |
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resg@tiMainString = "Amazon Mask: grid = "+ model_grid
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plot = gsn_csm_contour_map_ce(wks,mask_amazon,resg)
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delete (wks)
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204 |
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205 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
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"rm "+plot_name+"."+plot_type)
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207 |
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;------------------------------------------------------------------------
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209 |
; contour ob
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210 |
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resg@cnMinLevelValF = 0. ; Min level
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resg@cnMaxLevelValF = 30. ; Max level
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resg@cnLevelSpacingF = 2. ; interval
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214 |
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plot_name = "global_ob"
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title = ob_name+" "+ model_grid
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217 |
resg@tiMainString = title
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218 |
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219 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
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gsn_define_colormap(wks,"gui_default") ; choose colormap
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222 |
plot = gsn_csm_contour_map_ce(wks,dataob,resg)
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224 |
delete (wks)
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225 |
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226 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
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"rm "+plot_name+"."+plot_type)
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228 |
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;------------------------------------------------------------------------
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230 |
; contour model
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231 |
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resg@cnMinLevelValF = 0. ; Min level
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resg@cnMaxLevelValF = 30. ; Max level
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234 |
resg@cnLevelSpacingF = 2. ; interval
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235 |
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236 |
plot_name = "global_model"
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237 |
title = "Model "+ model_name
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238 |
resg@tiMainString = title
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239 |
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240 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
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241 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
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242 |
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243 |
plot = gsn_csm_contour_map_ce(wks,datamod,resg)
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244 |
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245 |
delete (wks)
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246 |
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247 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
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248 |
"rm "+plot_name+"."+plot_type)
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249 |
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250 |
;------------------------------------------------------------------------
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251 |
; contour model vs ob
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252 |
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253 |
plot_name = "global_model_vs_ob"
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254 |
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255 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
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256 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
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257 |
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258 |
delete (plot)
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259 |
plot=new(3,graphic) ; create graphic array
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260 |
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261 |
resg@gsnFrame = False ; Do not draw plot
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262 |
resg@gsnDraw = False ; Do not advance frame
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263 |
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264 |
;(d) compute correlation coef and M score
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265 |
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266 |
uu = ndtooned(datamod)
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267 |
vv = ndtooned(dataob)
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268 |
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269 |
good = ind(.not.ismissing(uu) .and. .not.ismissing(vv))
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270 |
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271 |
ug = uu(good)
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272 |
vg = vv(good)
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273 |
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274 |
ccrG = esccr(ug,vg,0)
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275 |
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276 |
score_max = 5.0
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277 |
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278 |
; Miomass = (ccrG*ccrG)* score_max
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279 |
; new eq
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280 |
bias = sum(abs(ug-vg)/(abs(ug)+abs(vg)))
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|
281 |
Mbiomass = (1. - (bias/dimsizes(ug)))*score_max
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|
282 |
M_biomass = sprintf("%.2f", Mbiomass)
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|
283 |
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|
284 |
if (isvar("compare")) then
|
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285 |
system("sed -e '1,/M_biomass/s/M_biomass/"+M_biomass+"/' "+html_name2+" > "+html_new2+";"+ \
|
|
forrest@0
|
286 |
"mv -f "+html_new2+" "+html_name2)
|
|
forrest@0
|
287 |
end if
|
|
forrest@0
|
288 |
|
|
forrest@0
|
289 |
system("sed s#M_biomass#"+M_biomass+"# "+html_name+" > "+html_new+";"+ \
|
|
forrest@0
|
290 |
"mv -f "+html_new+" "+html_name)
|
|
forrest@0
|
291 |
|
|
forrest@0
|
292 |
; plot correlation coef
|
|
forrest@0
|
293 |
|
|
forrest@0
|
294 |
gRes = True
|
|
forrest@0
|
295 |
gRes@txFontHeightF = 0.02
|
|
forrest@0
|
296 |
gRes@txAngleF = 90
|
|
forrest@0
|
297 |
|
|
forrest@0
|
298 |
correlation_text = "(correlation coef = "+sprintf("%5.2f", ccrG)+")"
|
|
forrest@0
|
299 |
|
|
forrest@0
|
300 |
gsn_text_ndc(wks,correlation_text,0.20,0.50,gRes)
|
|
forrest@0
|
301 |
;--------------------------------------------------------------------
|
|
forrest@0
|
302 |
|
|
forrest@0
|
303 |
;(a) ob
|
|
forrest@0
|
304 |
|
|
forrest@0
|
305 |
title = ob_name+" "+ model_grid
|
|
forrest@0
|
306 |
resg@tiMainString = title
|
|
forrest@0
|
307 |
|
|
forrest@0
|
308 |
plot(0) = gsn_csm_contour_map_ce(wks,dataob,resg)
|
|
forrest@0
|
309 |
|
|
forrest@0
|
310 |
;(b) model
|
|
forrest@0
|
311 |
|
|
forrest@0
|
312 |
title = "Model "+ model_name
|
|
forrest@0
|
313 |
resg@tiMainString = title
|
|
forrest@0
|
314 |
|
|
forrest@0
|
315 |
plot(1) = gsn_csm_contour_map_ce(wks,datamod,resg)
|
|
forrest@0
|
316 |
|
|
forrest@0
|
317 |
;(c) model-ob
|
|
forrest@0
|
318 |
|
|
forrest@0
|
319 |
zz = datamod
|
|
forrest@0
|
320 |
zz = datamod - dataob
|
|
forrest@0
|
321 |
title = "Model_"+model_name+" - Observed"
|
|
forrest@0
|
322 |
|
|
forrest@0
|
323 |
resg@cnMinLevelValF = -10. ; Min level
|
|
forrest@0
|
324 |
resg@cnMaxLevelValF = 10. ; Max level
|
|
forrest@0
|
325 |
resg@cnLevelSpacingF = 2. ; interval
|
|
forrest@0
|
326 |
resg@tiMainString = title
|
|
forrest@0
|
327 |
|
|
forrest@0
|
328 |
plot(2) = gsn_csm_contour_map_ce(wks,zz,resg)
|
|
forrest@0
|
329 |
|
|
forrest@0
|
330 |
pres = True ; panel plot mods desired
|
|
forrest@0
|
331 |
; pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around
|
|
forrest@0
|
332 |
; indiv. plots in panel
|
|
forrest@0
|
333 |
pres@gsnMaximize = True ; fill the page
|
|
forrest@0
|
334 |
|
|
forrest@0
|
335 |
gsn_panel(wks,plot,(/3,1/),pres) ; create panel plot
|
|
forrest@0
|
336 |
|
|
forrest@0
|
337 |
delete (wks)
|
|
forrest@0
|
338 |
delete (plot)
|
|
forrest@0
|
339 |
delete (zz)
|
|
forrest@0
|
340 |
|
|
forrest@0
|
341 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
|
|
forrest@0
|
342 |
"rm "+plot_name+"."+plot_type)
|
|
forrest@0
|
343 |
|
|
forrest@0
|
344 |
resg@gsnFrame = True ; draw plot
|
|
forrest@0
|
345 |
resg@gsnDraw = True ; advance frame
|
|
forrest@0
|
346 |
;------------------------------------------------------------------------
|
|
forrest@0
|
347 |
; contour ob : masked
|
|
forrest@0
|
348 |
|
|
forrest@0
|
349 |
resg@cnMinLevelValF = 0. ; Min level
|
|
forrest@0
|
350 |
resg@cnMaxLevelValF = 30. ; Max level
|
|
forrest@0
|
351 |
resg@cnLevelSpacingF = 2. ; interval
|
|
forrest@0
|
352 |
|
|
forrest@0
|
353 |
plot_name = "global_mask_ob"
|
|
forrest@0
|
354 |
title = ob_name+" "+ model_grid
|
|
forrest@0
|
355 |
resg@tiMainString = title
|
|
forrest@0
|
356 |
|
|
forrest@0
|
357 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
|
|
forrest@0
|
358 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
|
|
forrest@0
|
359 |
;-----------------------------------------
|
|
forrest@0
|
360 |
; plot average over mask region
|
|
forrest@0
|
361 |
|
|
forrest@0
|
362 |
gRes = True
|
|
forrest@0
|
363 |
gRes@txFontHeightF = 0.02
|
|
forrest@0
|
364 |
gRes@txAngleF = 0
|
|
forrest@0
|
365 |
|
|
forrest@0
|
366 |
area_avg_text = "(average over mask area = "+sprintf("%.2f", avg_ob)+" Kg C/m2)"
|
|
forrest@0
|
367 |
|
|
forrest@0
|
368 |
gsn_text_ndc(wks,area_avg_text,0.50,0.81,gRes)
|
|
forrest@0
|
369 |
;-----------------------------------------
|
|
forrest@0
|
370 |
zo = dataob
|
|
forrest@0
|
371 |
zo = dataob*mask_amazon
|
|
forrest@0
|
372 |
zo = where((mask_amazon .le. 0.01), zo@_FillValue, zo)
|
|
forrest@0
|
373 |
plot = gsn_csm_contour_map_ce(wks,zo,resg)
|
|
forrest@0
|
374 |
|
|
forrest@0
|
375 |
delete (wks)
|
|
forrest@0
|
376 |
delete (plot)
|
|
forrest@0
|
377 |
|
|
forrest@0
|
378 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
|
|
forrest@0
|
379 |
"rm "+plot_name+"."+plot_type)
|
|
forrest@0
|
380 |
|
|
forrest@0
|
381 |
;------------------------------------------------------------------------
|
|
forrest@0
|
382 |
; contour model: masked
|
|
forrest@0
|
383 |
|
|
forrest@0
|
384 |
resg@cnMinLevelValF = 0. ; Min level
|
|
forrest@0
|
385 |
resg@cnMaxLevelValF = 30. ; Max level
|
|
forrest@0
|
386 |
resg@cnLevelSpacingF = 2. ; interval
|
|
forrest@0
|
387 |
|
|
forrest@0
|
388 |
plot_name = "global_mask_model"
|
|
forrest@0
|
389 |
title = "Model "+ model_name
|
|
forrest@0
|
390 |
resg@tiMainString = title
|
|
forrest@0
|
391 |
|
|
forrest@0
|
392 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
|
|
forrest@0
|
393 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
|
|
forrest@0
|
394 |
;-----------------------------------------
|
|
forrest@0
|
395 |
; plot average over mask region
|
|
forrest@0
|
396 |
|
|
forrest@0
|
397 |
gRes = True
|
|
forrest@0
|
398 |
gRes@txFontHeightF = 0.02
|
|
forrest@0
|
399 |
gRes@txAngleF = 0
|
|
forrest@0
|
400 |
|
|
forrest@0
|
401 |
area_avg_text = "(average over mask area = "+sprintf("%.2f", avg_mod)+" Kg C/m2)"
|
|
forrest@0
|
402 |
|
|
forrest@0
|
403 |
gsn_text_ndc(wks,area_avg_text,0.50,0.81,gRes)
|
|
forrest@0
|
404 |
;-----------------------------------------
|
|
forrest@0
|
405 |
zm = datamod
|
|
forrest@0
|
406 |
zm = datamod*mask_amazon
|
|
forrest@0
|
407 |
zm = where((mask_amazon .le. 0.01), zm@_FillValue, zm)
|
|
forrest@0
|
408 |
plot = gsn_csm_contour_map_ce(wks,zm,resg)
|
|
forrest@0
|
409 |
|
|
forrest@0
|
410 |
delete (wks)
|
|
forrest@0
|
411 |
delete (plot)
|
|
forrest@0
|
412 |
|
|
forrest@0
|
413 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
|
|
forrest@0
|
414 |
"rm "+plot_name+"."+plot_type)
|
|
forrest@0
|
415 |
|
|
forrest@0
|
416 |
;------------------------------------------------------------------------
|
|
forrest@0
|
417 |
; contour model vs ob: masked
|
|
forrest@0
|
418 |
|
|
forrest@0
|
419 |
plot_name = "global_mask_vs_ob"
|
|
forrest@0
|
420 |
|
|
forrest@0
|
421 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
|
|
forrest@0
|
422 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
|
|
forrest@0
|
423 |
|
|
forrest@0
|
424 |
plot=new(3,graphic) ; create graphic array
|
|
forrest@0
|
425 |
|
|
forrest@0
|
426 |
resg@gsnFrame = False ; Do not draw plot
|
|
forrest@0
|
427 |
resg@gsnDraw = False ; Do not advance frame
|
|
forrest@0
|
428 |
|
|
forrest@0
|
429 |
;(d) compute correlation coef and M score
|
|
forrest@0
|
430 |
|
|
forrest@0
|
431 |
delete (good)
|
|
forrest@0
|
432 |
delete (uu)
|
|
forrest@0
|
433 |
delete (vv)
|
|
forrest@0
|
434 |
delete (ug)
|
|
forrest@0
|
435 |
delete (vg)
|
|
forrest@0
|
436 |
|
|
forrest@0
|
437 |
score_max = 5.
|
|
forrest@0
|
438 |
|
|
forrest@0
|
439 |
uu = ndtooned(zm)
|
|
forrest@0
|
440 |
vv = ndtooned(zo)
|
|
forrest@0
|
441 |
|
|
forrest@0
|
442 |
good = ind((uu .gt. 0.) .and. (vv .gt. 0.))
|
|
forrest@0
|
443 |
|
|
forrest@0
|
444 |
ug = uu(good)
|
|
forrest@0
|
445 |
vg = vv(good)
|
|
forrest@0
|
446 |
|
|
forrest@0
|
447 |
ccrG = esccr(ug,vg,0)
|
|
forrest@0
|
448 |
|
|
forrest@0
|
449 |
; Miomass = (ccrG*ccrG)*score_max
|
|
forrest@0
|
450 |
; new eq
|
|
forrest@0
|
451 |
bias = sum(abs(ug-vg)/(abs(ug)+abs(vg)))
|
|
forrest@0
|
452 |
Mbiomass2 = (1. - (bias/dimsizes(ug)))*score_max
|
|
forrest@0
|
453 |
M_biomask = sprintf("%.2f", Mbiomass2)
|
|
forrest@0
|
454 |
|
|
forrest@0
|
455 |
if (isvar("compare")) then
|
|
forrest@0
|
456 |
system("sed -e '1,/M_biomask/s/M_biomask/"+M_biomask+"/' "+html_name2+" > "+html_new2+";"+ \
|
|
forrest@0
|
457 |
"mv -f "+html_new2+" "+html_name2)
|
|
forrest@0
|
458 |
system("sed -e '1,/Sum_biomass_ob/s/Sum_biomass_ob/"+Sum_biomass_ob+"/' "+html_name2+" > "+html_new2+";"+ \
|
|
forrest@0
|
459 |
"mv -f "+html_new2+" "+html_name2)
|
|
forrest@0
|
460 |
system("sed -e '1,/Sum_biomass_mod/s/Sum_biomass_mod/"+Sum_biomass_mod+"/' "+html_name2+" > "+html_new2+";"+ \
|
|
forrest@0
|
461 |
"mv -f "+html_new2+" "+html_name2)
|
|
forrest@0
|
462 |
end if
|
|
forrest@0
|
463 |
|
|
forrest@0
|
464 |
system("sed s#M_biomask#"+M_biomask+"# "+html_name+" > "+html_new+";"+ \
|
|
forrest@0
|
465 |
"mv -f "+html_new+" "+html_name)
|
|
forrest@0
|
466 |
system("sed s#Sum_biomass_ob#"+Sum_biomass_ob+"# "+html_name+" > "+html_new+";"+ \
|
|
forrest@0
|
467 |
"mv -f "+html_new+" "+html_name)
|
|
forrest@0
|
468 |
system("sed s#Sum_biomass_mod#"+Sum_biomass_mod+"# "+html_name+" > "+html_new+";"+ \
|
|
forrest@0
|
469 |
"mv -f "+html_new+" "+html_name)
|
|
forrest@0
|
470 |
;--------------------------------------------------------------------
|
|
forrest@0
|
471 |
; plot correlation coef
|
|
forrest@0
|
472 |
|
|
forrest@0
|
473 |
gRes = True
|
|
forrest@0
|
474 |
gRes@txFontHeightF = 0.02
|
|
forrest@0
|
475 |
gRes@txAngleF = 90
|
|
forrest@0
|
476 |
|
|
forrest@0
|
477 |
correlation_text = "(correlation coef = "+sprintf("%.2f", ccrG)+")"
|
|
forrest@0
|
478 |
|
|
forrest@0
|
479 |
gsn_text_ndc(wks,correlation_text,0.20,0.50,gRes)
|
|
forrest@0
|
480 |
;--------------------------------------------------------------------
|
|
forrest@0
|
481 |
|
|
forrest@0
|
482 |
;(a) ob
|
|
forrest@0
|
483 |
|
|
forrest@0
|
484 |
title = ob_name+" "+ model_grid
|
|
forrest@0
|
485 |
resg@tiMainString = title
|
|
forrest@0
|
486 |
|
|
forrest@0
|
487 |
plot(0) = gsn_csm_contour_map_ce(wks,zo,resg)
|
|
forrest@0
|
488 |
|
|
forrest@0
|
489 |
;(b) model
|
|
forrest@0
|
490 |
|
|
forrest@0
|
491 |
title = "Model "+ model_name
|
|
forrest@0
|
492 |
resg@tiMainString = title
|
|
forrest@0
|
493 |
|
|
forrest@0
|
494 |
plot(1) = gsn_csm_contour_map_ce(wks,zm,resg)
|
|
forrest@0
|
495 |
|
|
forrest@0
|
496 |
;(c) model-ob
|
|
forrest@0
|
497 |
|
|
forrest@0
|
498 |
zz = zo
|
|
forrest@0
|
499 |
zz = zm - zo
|
|
forrest@0
|
500 |
title = "Model_"+model_name+" - Observed"
|
|
forrest@0
|
501 |
|
|
forrest@0
|
502 |
resg@cnMinLevelValF = -10. ; Min level
|
|
forrest@0
|
503 |
resg@cnMaxLevelValF = 10. ; Max level
|
|
forrest@0
|
504 |
resg@cnLevelSpacingF = 2. ; interval
|
|
forrest@0
|
505 |
resg@tiMainString = title
|
|
forrest@0
|
506 |
|
|
forrest@0
|
507 |
plot(2) = gsn_csm_contour_map_ce(wks,zz,resg)
|
|
forrest@0
|
508 |
|
|
forrest@0
|
509 |
pres = True ; panel plot mods desired
|
|
forrest@0
|
510 |
; pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around
|
|
forrest@0
|
511 |
; indiv. plots in panel
|
|
forrest@0
|
512 |
pres@gsnMaximize = True ; fill the page
|
|
forrest@0
|
513 |
|
|
forrest@0
|
514 |
gsn_panel(wks,plot,(/3,1/),pres) ; create panel plot
|
|
forrest@0
|
515 |
|
|
forrest@0
|
516 |
delete (wks)
|
|
forrest@0
|
517 |
delete (plot)
|
|
forrest@0
|
518 |
|
|
forrest@0
|
519 |
system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
|
|
forrest@0
|
520 |
"rm "+plot_name+"."+plot_type)
|
|
forrest@0
|
521 |
|
|
forrest@0
|
522 |
;***************************************************************************
|
|
forrest@0
|
523 |
; add total score and write to file
|
|
forrest@0
|
524 |
;***************************************************************************
|
|
forrest@0
|
525 |
M_total = Mbiomass + Mbiomass2
|
|
forrest@0
|
526 |
|
|
forrest@0
|
527 |
asciiwrite("M_save.biomass", M_total)
|
|
forrest@0
|
528 |
|
|
forrest@0
|
529 |
;***************************************************************************
|
|
forrest@0
|
530 |
; output plots
|
|
forrest@0
|
531 |
;***************************************************************************
|
|
forrest@0
|
532 |
output_dir = model_name+"/biomass"
|
|
forrest@0
|
533 |
|
|
forrest@0
|
534 |
system("mv *.png " + output_dir)
|
|
forrest@0
|
535 |
;***************************************************************************
|
|
forrest@0
|
536 |
end
|