1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/ameriflux/13.plot.ncl Mon Jan 26 22:08:20 2009 -0500
1.3 @@ -0,0 +1,683 @@
1.4 +;************************************************************
1.5 +; change long_name
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 +procedure set_line(lines:string,nline:integer,newlines:string)
1.12 +begin
1.13 +; add line to ascci/html file
1.14 +
1.15 + nnewlines = dimsizes(newlines)
1.16 + if(nline+nnewlines-1.ge.dimsizes(lines))
1.17 + print("set_line: bad index, not setting anything.")
1.18 + return
1.19 + end if
1.20 + lines(nline:nline+nnewlines-1) = newlines
1.21 +; print ("lines = " + lines(nline:nline+nnewlines-1))
1.22 + nline = nline + nnewlines
1.23 + return
1.24 +end
1.25 +;*************************************************************
1.26 +begin
1.27 +
1.28 + plot_type = "ps"
1.29 + plot_type_new = "png"
1.30 +
1.31 +; for 6 fields, 12-monthly
1.32 + nmon = 12
1.33 + nfield = 6
1.34 +
1.35 +;************************************************
1.36 +; read model data
1.37 +;************************************************
1.38 + model = "cn"
1.39 +; model = "casa"
1.40 +
1.41 + model_name = "i01.10" + model
1.42 +
1.43 + dirm = "/fis/cgd/cseg/people/jeff/surface_data/"
1.44 + film = "lnd_T42.nc"
1.45 + fm = addfile(dirm+film,"r")
1.46 +
1.47 + xm = fm->lon
1.48 + ym = fm->lat
1.49 +;------------------------------------------------
1.50 + nlat = dimsizes(ym)
1.51 + nlon = dimsizes(xm)
1.52 +
1.53 + data_mod0 = new ((/nfield,nmon,nlat,nlon/),float)
1.54 +
1.55 +; change to unit of observed (u mol/m2/s)
1.56 +; Model_units [=] gC/m2/s
1.57 +; 12. = molecular weight of C
1.58 +; u mol = 1e-6 mol
1.59 + factor = 1e6 /12.
1.60 +
1.61 + ENERGY ="new"
1.62 +
1.63 +;************************************************
1.64 +; read data: observed
1.65 +;************************************************
1.66 +
1.67 + station = (/"ARM_Oklahoma" \
1.68 + ,"ARM_Oklahoma_burn" \
1.69 + ,"ARM_Oklahoma_control" \
1.70 + ,"Atqasuk" \
1.71 + ,"Audubon" \
1.72 + ,"AustinCary" \
1.73 + ,"Bartlett" \
1.74 + ,"Bondville" \
1.75 + ,"Brookings" \
1.76 + ,"Donaldson" \
1.77 + ,"Duke_Forest_Hardwoods" \
1.78 + ,"Duke_Forest_Open_Field" \
1.79 + ,"Duke_Forest_Pine" \
1.80 + ,"Fermi_Ag" \
1.81 + ,"Fermi_Prairie" \
1.82 + ,"Flagstaff_Managed" \
1.83 + ,"Flagstaff_Unmanaged" \
1.84 + ,"Flagstaff_Wildfire" \
1.85 + ,"FortPeck" \
1.86 + ,"FreemanRanch_mesquite" \
1.87 + ,"Goodwin_Creek" \
1.88 + ,"HarvardForest" \
1.89 + ,"HarvardForestHemlock" \
1.90 + ,"HowlandForestMain" \
1.91 + ,"HowlandForestWest" \
1.92 + ,"Ivotuk" \
1.93 + ,"KendallGrasslands" \
1.94 + ,"KennedySpaceCenterPine" \
1.95 + ,"KennedySpaceCenterScrub" \
1.96 + ,"LittleProspect" \
1.97 + ,"LostCreek" \
1.98 + ,"Mead-irrigated" \
1.99 + ,"Mead-irrigated-rotation" \
1.100 + ,"Mead-rainfed" \
1.101 + ,"Metolius_2nd_YoungPonderosaPine" \
1.102 + ,"MetoliusEyerly" \
1.103 + ,"MetoliusIntermediatePine" \
1.104 + ,"MetoliusOldPonderosaPine" \
1.105 + ,"MissouriOzark" \
1.106 + ,"Mize" \
1.107 + ,"MorganMonroe" \
1.108 + ,"NiwotRidge" \
1.109 + ,"NorthCarolina_cc" \
1.110 + ,"NorthCarolina_lp" \
1.111 + ,"ParkFalls" \
1.112 + ,"Rayonier" \
1.113 + ,"SantaRita" \
1.114 + ,"SkyOaks_Old" \
1.115 + ,"SkyOaks_PostFire" \
1.116 + ,"SkyOaks_Young" \
1.117 + ,"SylvaniaWilderness" \
1.118 + ,"Toledo" \
1.119 + ,"Tonzi" \
1.120 + ,"UCI_1850" \
1.121 + ,"UCI_1930" \
1.122 + ,"UCI_1964" \
1.123 + ,"UCI_1964wet" \
1.124 + ,"UCI_1981" \
1.125 + ,"UCI_1989" \
1.126 + ,"UCI_1998" \
1.127 + ,"UMBS" \
1.128 + ,"Vaira" \
1.129 + ,"WalkerBranch" \
1.130 + ,"WillowCreek" \
1.131 + ,"WindRiver" \
1.132 + ,"Wisconsin_ihw" \
1.133 + ,"Wisconsin_irp" \
1.134 + ,"Wisconsin_mrp" \
1.135 + ,"Wisconsin_myjp" \
1.136 + ,"Wisconsin_pb" \
1.137 + ,"Wisconsin_rpcc" \
1.138 + ,"Wisconsin_yhw" \
1.139 + ,"Wisconsin_yjp" \
1.140 + ,"Wisconsin_yrp" \
1.141 + /)
1.142 +
1.143 + year_ob = (/"2003-2006" \
1.144 + ,"2005-2006" \
1.145 + ,"2005-2006" \
1.146 + ,"1999-2006" \
1.147 + ,"2002-2006" \
1.148 + ,"2000-2005" \
1.149 + ,"2004-2005" \
1.150 + ,"1996-2006" \
1.151 + ,"2004-2006" \
1.152 + ,"1999-2004" \
1.153 + ,"2003-2005" \
1.154 + ,"2001-2005" \
1.155 + ,"2001-2005" \
1.156 + ,"2005-2006" \
1.157 + ,"2004-2006" \
1.158 + ,"2005-2006" \
1.159 + ,"2005-2006" \
1.160 + ,"2005-2006" \
1.161 + ,"2000-2006" \
1.162 + ,"2004-2006" \
1.163 + ,"2002-2006" \
1.164 + ,"1991-2004" \
1.165 + ,"2004-2004" \
1.166 + ,"1996-2004" \
1.167 + ,"1999-2004" \
1.168 + ,"2003-2006" \
1.169 + ,"2004-2006" \
1.170 + ,"2002-2002" \
1.171 + ,"2000-2006" \
1.172 + ,"2002-2005" \
1.173 + ,"2001-2005" \
1.174 + ,"2001-2005" \
1.175 + ,"2001-2005" \
1.176 + ,"2001-2005" \
1.177 + ,"2004-2005" \
1.178 + ,"2004-2005" \
1.179 + ,"2003-2005" \
1.180 + ,"1996-2000" \
1.181 + ,"2004-2006" \
1.182 + ,"1998-2004" \
1.183 + ,"1999-2005" \
1.184 + ,"1999-2003" \
1.185 + ,"2005-2006" \
1.186 + ,"2005-2006" \
1.187 + ,"1996-2003" \
1.188 + ,"1998-1998" \
1.189 + ,"2004-2006" \
1.190 + ,"1997-2006" \
1.191 + ,"2004-2006" \
1.192 + ,"1997-2006" \
1.193 + ,"2002-2006" \
1.194 + ,"2004-2005" \
1.195 + ,"2001-2006" \
1.196 + ,"2004-2005" \
1.197 + ,"2001-2005" \
1.198 + ,"2001-2005" \
1.199 + ,"2002-2004" \
1.200 + ,"2001-2005" \
1.201 + ,"2001-2005" \
1.202 + ,"2002-2005" \
1.203 + ,"1999-2003" \
1.204 + ,"2001-2006" \
1.205 + ,"1995-1999" \
1.206 + ,"1999-2005" \
1.207 + ,"1999-2004" \
1.208 + ,"2003-2003" \
1.209 + ,"2003-2003" \
1.210 + ,"2002-2005" \
1.211 + ,"2004-2004" \
1.212 + ,"2002-2002" \
1.213 + ,"2005-2005" \
1.214 + ,"2002-2002" \
1.215 + ,"2004-2005" \
1.216 + ,"2002-2002" \
1.217 + /)
1.218 +
1.219 + field = (/"NEE Flux" \
1.220 + ,"Net Radiation" \
1.221 + ,"Latent Heat" \
1.222 + ,"Sensible Heat" \
1.223 + ,"GPP Flux" \
1.224 + ,"Respiration" \
1.225 + /)
1.226 +
1.227 + field_unit = (/"u mol/m2/s" \
1.228 + ,"W/m2" \
1.229 + ,"W/m2" \
1.230 + ,"W/m2" \
1.231 + ,"u mol/m2/s" \
1.232 + ,"u mol/m2/s" \
1.233 + /)
1.234 +
1.235 + nstation = dimsizes(station)
1.236 +
1.237 + data_mod = new ((/nstation, nfield, nmon/),float)
1.238 + data_ob = new ((/nstation, nfield, nmon/),float)
1.239 + lat_ob = new ((/nstation/),float)
1.240 + lon_ob = new ((/nstation/),float)
1.241 + unit_ob = new ((/nfield/),string)
1.242 +
1.243 + diro_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/"
1.244 + dirm_root = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
1.245 +
1.246 + do n = 0,nstation-1
1.247 +
1.248 +;-------------------------------------------------
1.249 +; get ob data
1.250 +
1.251 + diro = diro_root + station(n)+"/"
1.252 + filo = year_ob(n)+"_L4_m.nc"
1.253 + fo = addfile (diro+filo,"r")
1.254 +
1.255 + print (filo)
1.256 +
1.257 + lon_ob(n) = fo->lon
1.258 + lat_ob(n) = fo->lat
1.259 +
1.260 + data = fo->NEE_or_fMDS
1.261 + data_ob(n,0,:) = dim_avg(data(month|:,year|:))
1.262 + delete (data)
1.263 +
1.264 + data = fo->Rg_f
1.265 + data_ob(n,1,:) = dim_avg(data(month|:,year|:))
1.266 + delete (data)
1.267 +
1.268 + data = fo->LE_f
1.269 + data_ob(n,2,:) = dim_avg(data(month|:,year|:))
1.270 + delete (data)
1.271 +
1.272 + data = fo->H_f
1.273 + data_ob(n,3,:) = dim_avg(data(month|:,year|:))
1.274 + delete (data)
1.275 +
1.276 + data = fo->GPP_or_MDS
1.277 + data_ob(n,4,:) = dim_avg(data(month|:,year|:))
1.278 + delete (data)
1.279 +
1.280 + data = fo->Reco_or
1.281 + data_ob(n,5,:) = dim_avg(data(month|:,year|:))
1.282 + delete (data)
1.283 +
1.284 + delete (fo)
1.285 +;---------------------------------------------------
1.286 +; get model data
1.287 +
1.288 +; film = model_name+"_"+ year_ob(n)+"_MONS_climo.nc"
1.289 + film = model_name+"_"+"1990-2004"+"_MONS_climo.nc"
1.290 + fm = addfile (dirm_root+film,"r")
1.291 +
1.292 + print (film)
1.293 +
1.294 +if (ENERGY .eq. "old") then
1.295 +
1.296 + data = fm->NEE
1.297 + data_mod0(0,:,:,:) = data(:,:,:) * factor
1.298 + delete (data)
1.299 +
1.300 +; data = fm->LATENT
1.301 + data1 = fm->FCEV
1.302 + data2 = fm->FCTR
1.303 + data3 = fm->FGEV
1.304 + data_mod0(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:)
1.305 + delete (data1)
1.306 + delete (data2)
1.307 + delete (data3)
1.308 +
1.309 +; data = fm->SENSIBLE
1.310 + data = fm->FSH
1.311 + data_mod0(3,:,:,:) = data(:,:,:)
1.312 + delete (data)
1.313 +
1.314 +; data = fm->NETRAD
1.315 + data1 = fm->FSA
1.316 + data2 = fm->FIRA
1.317 + data_mod0(1,:,:,:) = data1(:,:,:)-data2(:,:,:)-data_mod0(2,:,:,:)-data_mod0(3,:,:,:)
1.318 + delete (data1)
1.319 + delete (data2)
1.320 +
1.321 +else
1.322 +
1.323 + data = fm->NEE
1.324 + data_mod0(0,:,:,:) = data(:,:,:) * factor
1.325 + delete (data)
1.326 +
1.327 + data = fm->NETRAD
1.328 + data_mod0(1,:,:,:) = data(:,:,:)
1.329 + delete (data)
1.330 +
1.331 + data = fm->LATENT
1.332 + data_mod0(2,:,:,:) = data(:,:,:)
1.333 + delete (data)
1.334 +
1.335 +; data = fm->SENSIBLE
1.336 + data = fm->FSH
1.337 + data_mod0(3,:,:,:) = data(:,:,:)
1.338 + delete (data)
1.339 +end if
1.340 +
1.341 + data = fm->GPP
1.342 + data_mod0(4,:,:,:) = data(:,:,:) * factor
1.343 + delete (data)
1.344 +
1.345 + if (model .eq. "cn") then
1.346 + data = fm->ER
1.347 + else
1.348 + data1 = fm->AR
1.349 + data2 = fm->HR
1.350 + data = data1 + data2
1.351 +
1.352 + delete (data1)
1.353 + delete (data2)
1.354 + end if
1.355 +
1.356 + data_mod0(5,:,:,:) = data(:,:,:) * factor
1.357 + delete (data)
1.358 +
1.359 + delete (fm)
1.360 +
1.361 +;************************************************************
1.362 +; interpolate model data into observed station
1.363 +; note: model is 0-360E, 90S-90N
1.364 +;************************************************************
1.365 +
1.366 +; to be able to handle observation at (-89.98,-24.80)
1.367 + ym(0) = -90.
1.368 +
1.369 + yy = linint2_points_Wrap(xm,ym,data_mod0,True,lon_ob(n),lat_ob(n),0)
1.370 +
1.371 +; print (yy)
1.372 +
1.373 + data_mod(n,:,:) = yy(:,:,0)
1.374 +
1.375 + delete (yy)
1.376 +
1.377 + end do
1.378 +;************************************************************
1.379 +; compute correlation coef and M score
1.380 +;************************************************************
1.381 +
1.382 + score_max = 5.
1.383 +
1.384 + ccr = new ((/nstation, nfield/),float)
1.385 + M_score = new ((/nstation, nfield/),float)
1.386 +
1.387 + do n=0,nstation-1
1.388 + do m=0,nfield-1
1.389 + ccr(n,m) = esccr(data_ob(n,m,:),data_mod(n,m,:),0)
1.390 + bias = sum(abs(data_mod(n,m,:)-data_ob(n,m,:))/(abs(data_mod(n,m,:))+abs(data_ob(n,m,:))))
1.391 + M_score(n,m) = (1. -(bias/nmon)) * score_max
1.392 + end do
1.393 + end do
1.394 +
1.395 + M_co2 = avg(M_score(:,0))
1.396 + M_rad = avg(M_score(:,1))
1.397 + M_lh = avg(M_score(:,2))
1.398 + M_sh = avg(M_score(:,3))
1.399 + M_gpp = avg(M_score(:,4))
1.400 + M_er = avg(M_score(:,5))
1.401 + M_all = M_co2+ M_rad +M_lh + M_sh + M_gpp + M_er
1.402 +
1.403 + M_energy_co2 = sprintf("%.2f", M_co2)
1.404 + M_energy_rad = sprintf("%.2f", M_rad)
1.405 + M_energy_lh = sprintf("%.2f", M_lh )
1.406 + M_energy_sh = sprintf("%.2f", M_sh )
1.407 + M_energy_gpp = sprintf("%.2f", M_gpp)
1.408 + M_energy_er = sprintf("%.2f", M_er )
1.409 + M_energy_all = sprintf("%.2f", M_all)
1.410 +
1.411 +;*******************************************************************
1.412 +; for station line plot
1.413 +;*******************************************************************
1.414 +
1.415 +; for x-axis in xyplot
1.416 + mon = ispan(1,12,1)
1.417 + mon@long_name = "month"
1.418 +
1.419 + res = True ; plot mods desired
1.420 + res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker
1.421 + res@xyLineColors = (/"blue","red"/) ; line color (ob,model)
1.422 +;-------------------------------------------------------------------------
1.423 +; Add a boxed legend using the more simple method
1.424 +
1.425 + res@pmLegendDisplayMode = "Always"
1.426 +; res@pmLegendWidthF = 0.1
1.427 + res@pmLegendWidthF = 0.08
1.428 + res@pmLegendHeightF = 0.06
1.429 +; res@pmLegendOrthogonalPosF = -1.17
1.430 +; res@pmLegendOrthogonalPosF = -1.00 ;(downward)
1.431 + res@pmLegendOrthogonalPosF = -0.30 ;(downward)
1.432 +
1.433 +; res@pmLegendParallelPosF = 0.18
1.434 + res@pmLegendParallelPosF = 0.23 ;(rightward)
1.435 +
1.436 +; res@lgPerimOn = False
1.437 + res@lgLabelFontHeightF = 0.015
1.438 + res@xyExplicitLegendLabels = (/"observed",model_name/)
1.439 +;-------------------------------------------------------------------
1.440 +; for panel plot
1.441 + res@gsnFrame = False ; Do not draw plot
1.442 + res@gsnDraw = False ; Do not advance frame
1.443 +
1.444 + pres = True ; panel plot mods desired
1.445 + pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around
1.446 + ; indiv. plots in panel
1.447 + pres@gsnMaximize = True ; fill the page
1.448 +;-------------------------------------------------------------------
1.449 +
1.450 + plot_data = new((/2,12/),float)
1.451 + plot_data!0 = "case"
1.452 + plot_data!1 = "month"
1.453 +
1.454 + do n = 0,nstation-1
1.455 +;----------------------------
1.456 +; for observed
1.457 +
1.458 + plot_name = station(n)+"_ob"
1.459 + title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")"
1.460 + res@tiMainString = title
1.461 +
1.462 + wks = gsn_open_wks (plot_type,plot_name)
1.463 + plot=new(nfield,graphic) ; create graphic array
1.464 +
1.465 + do i = 0,nfield-1
1.466 + plot_data(0,:) = (/data_ob (n,i,:)/)
1.467 + plot_data@long_name = field(i)+" ("+field_unit(i)+")"
1.468 + plot(i)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot
1.469 + end do
1.470 +
1.471 + gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot
1.472 +
1.473 + system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
1.474 + "rm "+plot_name+"."+plot_type)
1.475 +
1.476 + clear (wks)
1.477 + delete (plot)
1.478 +;----------------------------
1.479 +; for model_vs_ob
1.480 +
1.481 + plot_name = station(n)+"_model_vs_ob"
1.482 + title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")"
1.483 + res@tiMainString = title
1.484 +
1.485 + wks = gsn_open_wks (plot_type,plot_name)
1.486 + plot=new(nfield,graphic) ; create graphic array
1.487 +
1.488 + do i = 0,nfield-1
1.489 + plot_data(0,:) = (/data_ob (n,i,:)/)
1.490 + plot_data(1,:) = (/data_mod(n,i,:)/)
1.491 + plot_data@long_name = field(i)+" ("+field_unit(i)+")"
1.492 + plot(i)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot
1.493 + end do
1.494 +
1.495 + gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot
1.496 +
1.497 + system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
1.498 + "rm "+plot_name+"."+plot_type)
1.499 +
1.500 + clear (wks)
1.501 + delete (plot)
1.502 + end do
1.503 +
1.504 +;*******************************************************************
1.505 +; html table of site: observed
1.506 +;*******************************************************************
1.507 + output_html = "line_ob.html"
1.508 +
1.509 + header = (/"<HTML>" \
1.510 + ,"<HEAD>" \
1.511 + ,"<TITLE>CLAMP metrics</TITLE>" \
1.512 + ,"</HEAD>" \
1.513 + ,"<H1>Energy at Site: Observation</H1>" \
1.514 + /)
1.515 + footer = "</HTML>"
1.516 +
1.517 + table_header = (/ \
1.518 + "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \
1.519 + ,"<tr>" \
1.520 + ," <th bgcolor=DDDDDD >Site Name</th>" \
1.521 + ," <th bgcolor=DDDDDD >Latitude</th>" \
1.522 + ," <th bgcolor=DDDDDD >Longitude</th>" \
1.523 + ," <th bgcolor=DDDDDD >Observed</th>" \
1.524 + ,"</tr>" \
1.525 + /)
1.526 + table_footer = "</table>"
1.527 + row_header = "<tr>"
1.528 + row_footer = "</tr>"
1.529 +
1.530 + lines = new(50000,string)
1.531 + nline = 0
1.532 +
1.533 + set_line(lines,nline,header)
1.534 + set_line(lines,nline,table_header)
1.535 +;-----------------------------------------------
1.536 +; row of table
1.537 +
1.538 + do n = 0,nstation-1
1.539 + set_line(lines,nline,row_header)
1.540 +
1.541 + txt0 = station(n)
1.542 + txt1 = sprintf("%5.2f", lat_ob(n))
1.543 + txt2 = sprintf("%5.2f", lon_ob(n))
1.544 + txt3 = year_ob(n)
1.545 +
1.546 + set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>")
1.547 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.548 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.549 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.550 +
1.551 + set_line(lines,nline,row_footer)
1.552 + end do
1.553 +;-----------------------------------------------
1.554 + set_line(lines,nline,table_footer)
1.555 + set_line(lines,nline,footer)
1.556 +
1.557 +; Now write to an HTML file.
1.558 + idx = ind(.not.ismissing(lines))
1.559 + if(.not.any(ismissing(idx))) then
1.560 + asciiwrite(output_html,lines(idx))
1.561 + else
1.562 + print ("error?")
1.563 + end if
1.564 + delete (idx)
1.565 +
1.566 +;*******************************************************************
1.567 +; score and line table : model vs observed
1.568 +;*******************************************************************
1.569 + output_html = "score+line_vs_ob.html"
1.570 +
1.571 + header = (/"<HTML>" \
1.572 + ,"<HEAD>" \
1.573 + ,"<TITLE>CLAMP metrics</TITLE>" \
1.574 + ,"</HEAD>" \
1.575 + ,"<H1>Energy at Site: Model "+model_name+"</H1>" \
1.576 + /)
1.577 + footer = "</HTML>"
1.578 +
1.579 + delete (table_header)
1.580 + table_header = (/ \
1.581 + "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \
1.582 + ,"<tr>" \
1.583 + ," <th bgcolor=DDDDDD >Site Name</th>" \
1.584 + ," <th bgcolor=DDDDDD >Latitude</th>" \
1.585 + ," <th bgcolor=DDDDDD >Longitude</th>" \
1.586 + ," <th bgcolor=DDDDDD >Observed</th>" \
1.587 + ," <th bgcolor=DDDDDD >CO2 Flux</th>" \
1.588 + ," <th bgcolor=DDDDDD >Net Radiation</th>" \
1.589 + ," <th bgcolor=DDDDDD >Latent Heat</th>" \
1.590 + ," <th bgcolor=DDDDDD >Sensible Heat</th>" \
1.591 + ," <th bgcolor=DDDDDD >GPP Glux</th>" \
1.592 + ," <th bgcolor=DDDDDD >Respiration</th>" \
1.593 + ," <th bgcolor=DDDDDD >Average</th>" \
1.594 + ,"</tr>" \
1.595 + /)
1.596 + table_footer = "</table>"
1.597 + row_header = "<tr>"
1.598 + row_footer = "</tr>"
1.599 +
1.600 + lines = new(50000,string)
1.601 + nline = 0
1.602 +
1.603 + set_line(lines,nline,header)
1.604 + set_line(lines,nline,table_header)
1.605 +;-----------------------------------------------
1.606 +; row of table
1.607 +
1.608 + do n = 0,nstation-1
1.609 + set_line(lines,nline,row_header)
1.610 +
1.611 + txt0 = station(n)
1.612 + txt1 = sprintf("%5.2f", lat_ob(n))
1.613 + txt2 = sprintf("%5.2f", lon_ob(n))
1.614 + txt3 = year_ob(n)
1.615 + txt4 = sprintf("%5.2f", M_score(n,0))
1.616 + txt5 = sprintf("%5.2f", M_score(n,1))
1.617 + txt6 = sprintf("%5.2f", M_score(n,2))
1.618 + txt7 = sprintf("%5.2f", M_score(n,3))
1.619 + txt8 = sprintf("%5.2f", M_score(n,4))
1.620 + txt9 = sprintf("%5.2f", M_score(n,5))
1.621 + txt10 = sprintf("%5.2f", avg(M_score(n,:)))
1.622 +
1.623 + set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>")
1.624 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.625 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.626 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.627 + set_line(lines,nline,"<th>"+txt4+"</th>")
1.628 + set_line(lines,nline,"<th>"+txt5+"</th>")
1.629 + set_line(lines,nline,"<th>"+txt6+"</th>")
1.630 + set_line(lines,nline,"<th>"+txt7+"</th>")
1.631 + set_line(lines,nline,"<th>"+txt8+"</th>")
1.632 + set_line(lines,nline,"<th>"+txt9+"</th>")
1.633 + set_line(lines,nline,"<th>"+txt10+"</th>")
1.634 +
1.635 + set_line(lines,nline,row_footer)
1.636 + end do
1.637 +
1.638 +; last row, summary
1.639 + set_line(lines,nline,row_header)
1.640 +
1.641 + txt0 = "All_"+sprintf("%.0f", nstation)
1.642 + txt1 = "-"
1.643 + txt2 = "-"
1.644 + txt3 = "-"
1.645 + txt4 = M_energy_co2
1.646 + txt5 = M_energy_rad
1.647 + txt6 = M_energy_lh
1.648 + txt7 = M_energy_sh
1.649 + txt8 = M_energy_gpp
1.650 + txt9 = M_energy_er
1.651 + txt10 = M_energy_all
1.652 +
1.653 + set_line(lines,nline,"<th>"+txt0+"</th>")
1.654 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.655 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.656 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.657 + set_line(lines,nline,"<th>"+txt4+"</th>")
1.658 + set_line(lines,nline,"<th>"+txt5+"</th>")
1.659 + set_line(lines,nline,"<th>"+txt6+"</th>")
1.660 + set_line(lines,nline,"<th>"+txt7+"</th>")
1.661 + set_line(lines,nline,"<th>"+txt8+"</th>")
1.662 + set_line(lines,nline,"<th>"+txt9+"</th>")
1.663 + set_line(lines,nline,"<th>"+txt10+"</th>")
1.664 +
1.665 + set_line(lines,nline,row_footer)
1.666 +;-----------------------------------------------
1.667 + set_line(lines,nline,table_footer)
1.668 + set_line(lines,nline,footer)
1.669 +
1.670 +; Now write to an HTML file.
1.671 + idx = ind(.not.ismissing(lines))
1.672 + if(.not.any(ismissing(idx))) then
1.673 + asciiwrite(output_html,lines(idx))
1.674 + else
1.675 + print ("error?")
1.676 + end if
1.677 + delete (idx)
1.678 +
1.679 +;***************************************************************************
1.680 +; output plots
1.681 +;***************************************************************************
1.682 + output_dir = model_name+"/ameriflux"
1.683 +
1.684 + system("mv *.png *.html " + output_dir)
1.685 +;***************************************************************************
1.686 +end