1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/ameriflux/20.plot.ncl Mon Jan 26 22:08:20 2009 -0500
1.3 @@ -0,0 +1,842 @@
1.4 +;************************************************************
1.5 +; merge 14 and 18
1.6 +; sort by latitude in decending order (N->S)
1.7 +; add year_ob_i and year_ob_f
1.8 +; change long_name
1.9 +;************************************************************
1.10 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
1.11 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
1.12 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
1.13 +;************************************************************
1.14 +procedure set_line(lines:string,nline:integer,newlines:string)
1.15 +begin
1.16 +; add line to ascci/html file
1.17 +
1.18 + nnewlines = dimsizes(newlines)
1.19 + if(nline+nnewlines-1.ge.dimsizes(lines))
1.20 + print("set_line: bad index, not setting anything.")
1.21 + return
1.22 + end if
1.23 + lines(nline:nline+nnewlines-1) = newlines
1.24 +; print ("lines = " + lines(nline:nline+nnewlines-1))
1.25 + nline = nline + nnewlines
1.26 + return
1.27 +end
1.28 +;*************************************************************
1.29 +begin
1.30 +
1.31 + plot_type = "ps"
1.32 + plot_type_new = "png"
1.33 +
1.34 +; for 6 fields, 12-monthly
1.35 + nmon = 12
1.36 +
1.37 +;************************************************
1.38 +; read model
1.39 +;************************************************
1.40 + model = "cn"
1.41 +; model = "casa"
1.42 +
1.43 + model_name = "i01.10" + model
1.44 +
1.45 +;************************************************
1.46 +; read data: observed
1.47 +;************************************************
1.48 +
1.49 + station = (/"ARM_Oklahoma" \
1.50 + ,"ARM_Oklahoma_burn" \
1.51 + ,"ARM_Oklahoma_control" \
1.52 + ,"Atqasuk" \
1.53 + ,"Audubon" \
1.54 + ,"AustinCary" \
1.55 + ,"Bartlett" \
1.56 + ,"Bondville" \
1.57 + ,"Brookings" \
1.58 + ,"Donaldson" \
1.59 + ,"Duke_Forest_Hardwoods" \
1.60 + ,"Duke_Forest_Open_Field" \
1.61 + ,"Duke_Forest_Pine" \
1.62 + ,"Fermi_Ag" \
1.63 + ,"Fermi_Prairie" \
1.64 + ,"Flagstaff_Managed" \
1.65 + ,"Flagstaff_Unmanaged" \
1.66 + ,"Flagstaff_Wildfire" \
1.67 + ,"FortPeck" \
1.68 + ,"FreemanRanch_mesquite" \
1.69 + ,"Goodwin_Creek" \
1.70 + ,"HarvardForest" \
1.71 + ,"HarvardForestHemlock" \
1.72 + ,"HowlandForestMain" \
1.73 + ,"HowlandForestWest" \
1.74 + ,"Ivotuk" \
1.75 + ,"KendallGrasslands" \
1.76 + ,"KennedySpaceCenterPine" \
1.77 + ,"KennedySpaceCenterScrub" \
1.78 + ,"LittleProspect" \
1.79 + ,"LostCreek" \
1.80 + ,"Mead-irrigated" \
1.81 + ,"Mead-irrigated-rotation" \
1.82 + ,"Mead-rainfed" \
1.83 + ,"Metolius_2nd_YoungPonderosaPine" \
1.84 + ,"MetoliusEyerly" \
1.85 + ,"MetoliusIntermediatePine" \
1.86 + ,"MetoliusOldPonderosaPine" \
1.87 + ,"MissouriOzark" \
1.88 + ,"Mize" \
1.89 + ,"MorganMonroe" \
1.90 + ,"NiwotRidge" \
1.91 + ,"NorthCarolina_cc" \
1.92 + ,"NorthCarolina_lp" \
1.93 + ,"ParkFalls" \
1.94 + ,"Rayonier" \
1.95 + ,"SantaRita" \
1.96 + ,"SkyOaks_Old" \
1.97 + ,"SkyOaks_PostFire" \
1.98 + ,"SkyOaks_Young" \
1.99 + ,"SylvaniaWilderness" \
1.100 + ,"Toledo" \
1.101 + ,"Tonzi" \
1.102 + ,"UCI_1850" \
1.103 + ,"UCI_1930" \
1.104 + ,"UCI_1964" \
1.105 + ,"UCI_1964wet" \
1.106 + ,"UCI_1981" \
1.107 + ,"UCI_1989" \
1.108 + ,"UCI_1998" \
1.109 + ,"UMBS" \
1.110 + ,"Vaira" \
1.111 + ,"WalkerBranch" \
1.112 + ,"WillowCreek" \
1.113 + ,"WindRiver" \
1.114 + ,"Wisconsin_ihw" \
1.115 + ,"Wisconsin_irp" \
1.116 + ,"Wisconsin_mrp" \
1.117 + ,"Wisconsin_myjp" \
1.118 + ,"Wisconsin_pb" \
1.119 + ,"Wisconsin_rpcc" \
1.120 + ,"Wisconsin_yhw" \
1.121 + ,"Wisconsin_yjp" \
1.122 + ,"Wisconsin_yrp" \
1.123 + /)
1.124 +
1.125 + year_ob = (/"2003-2006" \
1.126 + ,"2005-2006" \
1.127 + ,"2005-2006" \
1.128 + ,"1999-2006" \
1.129 + ,"2002-2006" \
1.130 + ,"2000-2005" \
1.131 + ,"2004-2005" \
1.132 + ,"1996-2006" \
1.133 + ,"2004-2006" \
1.134 + ,"1999-2004" \
1.135 + ,"2003-2005" \
1.136 + ,"2001-2005" \
1.137 + ,"2001-2005" \
1.138 + ,"2005-2006" \
1.139 + ,"2004-2006" \
1.140 + ,"2005-2006" \
1.141 + ,"2005-2006" \
1.142 + ,"2005-2006" \
1.143 + ,"2000-2006" \
1.144 + ,"2004-2006" \
1.145 + ,"2002-2006" \
1.146 + ,"1991-2004" \
1.147 + ,"2004-2004" \
1.148 + ,"1996-2004" \
1.149 + ,"1999-2004" \
1.150 + ,"2003-2006" \
1.151 + ,"2004-2006" \
1.152 + ,"2002-2002" \
1.153 + ,"2000-2006" \
1.154 + ,"2002-2005" \
1.155 + ,"2001-2005" \
1.156 + ,"2001-2005" \
1.157 + ,"2001-2005" \
1.158 + ,"2001-2005" \
1.159 + ,"2004-2005" \
1.160 + ,"2004-2005" \
1.161 + ,"2003-2005" \
1.162 + ,"1996-2000" \
1.163 + ,"2004-2006" \
1.164 + ,"1998-2004" \
1.165 + ,"1999-2005" \
1.166 + ,"1999-2003" \
1.167 + ,"2005-2006" \
1.168 + ,"2005-2006" \
1.169 + ,"1996-2003" \
1.170 + ,"1998-1998" \
1.171 + ,"2004-2006" \
1.172 + ,"1997-2006" \
1.173 + ,"2004-2006" \
1.174 + ,"1997-2006" \
1.175 + ,"2002-2006" \
1.176 + ,"2004-2005" \
1.177 + ,"2001-2006" \
1.178 + ,"2004-2005" \
1.179 + ,"2001-2005" \
1.180 + ,"2001-2005" \
1.181 + ,"2002-2004" \
1.182 + ,"2001-2005" \
1.183 + ,"2001-2005" \
1.184 + ,"2002-2005" \
1.185 + ,"1999-2003" \
1.186 + ,"2001-2006" \
1.187 + ,"1995-1999" \
1.188 + ,"1999-2005" \
1.189 + ,"1999-2004" \
1.190 + ,"2003-2003" \
1.191 + ,"2003-2003" \
1.192 + ,"2002-2005" \
1.193 + ,"2004-2004" \
1.194 + ,"2002-2002" \
1.195 + ,"2005-2005" \
1.196 + ,"2002-2002" \
1.197 + ,"2004-2005" \
1.198 + ,"2002-2002" \
1.199 + /)
1.200 +
1.201 + year_ob_i = (/2003 \
1.202 + ,2005 \
1.203 + ,2005 \
1.204 + ,1999 \
1.205 + ,2002 \
1.206 + ,2000 \
1.207 + ,2004 \
1.208 + ,1996 \
1.209 + ,2004 \
1.210 + ,1999 \
1.211 + ,2003 \
1.212 + ,2001 \
1.213 + ,2001 \
1.214 + ,2005 \
1.215 + ,2004 \
1.216 + ,2005 \
1.217 + ,2005 \
1.218 + ,2005 \
1.219 + ,2000 \
1.220 + ,2004 \
1.221 + ,2002 \
1.222 + ,1991 \
1.223 + ,2004 \
1.224 + ,1996 \
1.225 + ,1999 \
1.226 + ,2003 \
1.227 + ,2004 \
1.228 + ,2002 \
1.229 + ,2000 \
1.230 + ,2002 \
1.231 + ,2001 \
1.232 + ,2001 \
1.233 + ,2001 \
1.234 + ,2001 \
1.235 + ,2004 \
1.236 + ,2004 \
1.237 + ,2003 \
1.238 + ,1996 \
1.239 + ,2004 \
1.240 + ,1998 \
1.241 + ,1999 \
1.242 + ,1999 \
1.243 + ,2005 \
1.244 + ,2005 \
1.245 + ,1996 \
1.246 + ,1998 \
1.247 + ,2004 \
1.248 + ,1997 \
1.249 + ,2004 \
1.250 + ,1997 \
1.251 + ,2002 \
1.252 + ,2004 \
1.253 + ,2001 \
1.254 + ,2004 \
1.255 + ,2001 \
1.256 + ,2001 \
1.257 + ,2002 \
1.258 + ,2001 \
1.259 + ,2001 \
1.260 + ,2002 \
1.261 + ,1999 \
1.262 + ,2001 \
1.263 + ,1995 \
1.264 + ,1999 \
1.265 + ,1999 \
1.266 + ,2003 \
1.267 + ,2003 \
1.268 + ,2002 \
1.269 + ,2004 \
1.270 + ,2002 \
1.271 + ,2005 \
1.272 + ,2002 \
1.273 + ,2004 \
1.274 + ,2002 \
1.275 + /)
1.276 +
1.277 + year_ob_f = (/2006 \
1.278 + ,2006 \
1.279 + ,2006 \
1.280 + ,2006 \
1.281 + ,2006 \
1.282 + ,2005 \
1.283 + ,2005 \
1.284 + ,2006 \
1.285 + ,2006 \
1.286 + ,2004 \
1.287 + ,2005 \
1.288 + ,2005 \
1.289 + ,2005 \
1.290 + ,2006 \
1.291 + ,2006 \
1.292 + ,2006 \
1.293 + ,2006 \
1.294 + ,2006 \
1.295 + ,2006 \
1.296 + ,2006 \
1.297 + ,2006 \
1.298 + ,2004 \
1.299 + ,2004 \
1.300 + ,2004 \
1.301 + ,2004 \
1.302 + ,2006 \
1.303 + ,2006 \
1.304 + ,2002 \
1.305 + ,2006 \
1.306 + ,2005 \
1.307 + ,2005 \
1.308 + ,2005 \
1.309 + ,2005 \
1.310 + ,2005 \
1.311 + ,2005 \
1.312 + ,2005 \
1.313 + ,2005 \
1.314 + ,2000 \
1.315 + ,2006 \
1.316 + ,2004 \
1.317 + ,2005 \
1.318 + ,2003 \
1.319 + ,2006 \
1.320 + ,2006 \
1.321 + ,2003 \
1.322 + ,1998 \
1.323 + ,2006 \
1.324 + ,2006 \
1.325 + ,2006 \
1.326 + ,2006 \
1.327 + ,2006 \
1.328 + ,2005 \
1.329 + ,2006 \
1.330 + ,2005 \
1.331 + ,2005 \
1.332 + ,2005 \
1.333 + ,2004 \
1.334 + ,2005 \
1.335 + ,2005 \
1.336 + ,2005 \
1.337 + ,2003 \
1.338 + ,2006 \
1.339 + ,1999 \
1.340 + ,2005 \
1.341 + ,2004 \
1.342 + ,2003 \
1.343 + ,2003 \
1.344 + ,2005 \
1.345 + ,2004 \
1.346 + ,2002 \
1.347 + ,2005 \
1.348 + ,2002 \
1.349 + ,2005 \
1.350 + ,2002 \
1.351 + /)
1.352 +
1.353 + field = (/"NEE Flux" \
1.354 + ,"Net Radiation" \
1.355 + ,"Latent Heat" \
1.356 + ,"Sensible Heat" \
1.357 + ,"GPP Flux" \
1.358 + ,"Respiration" \
1.359 + /)
1.360 +
1.361 + field_unit = (/"u mol/m2/s" \
1.362 + ,"W/m2" \
1.363 + ,"W/m2" \
1.364 + ,"W/m2" \
1.365 + ,"u mol/m2/s" \
1.366 + ,"u mol/m2/s" \
1.367 + /)
1.368 +
1.369 + nstation = dimsizes(station)
1.370 + nfield = dimsizes(field)
1.371 +;-------------------------------------------------
1.372 +; get ob data
1.373 +
1.374 + nmon = 12
1.375 +
1.376 + data_ob = new ((/nstation, nfield, nmon/),float)
1.377 + lat_ob = new ((/nstation/),float)
1.378 + lon_ob = new ((/nstation/),float)
1.379 +
1.380 + diro_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/"
1.381 +
1.382 + do n = 0,nstation-1
1.383 +
1.384 + diro = diro_root + station(n)+"/"
1.385 + filo = year_ob_i(n)+"-"+year_ob_f(n)+"_L4_m.nc"
1.386 + fo = addfile (diro+filo,"r")
1.387 +
1.388 + print (filo)
1.389 +
1.390 + lon_ob(n) = fo->lon
1.391 + lat_ob(n) = fo->lat
1.392 +
1.393 + data = fo->NEE_or_fMDS
1.394 + data_ob(n,0,:) = dim_avg(data(month|:,year|:))
1.395 +
1.396 + data = fo->Rg_f
1.397 + data_ob(n,1,:) = dim_avg(data(month|:,year|:))
1.398 +
1.399 + data = fo->LE_f
1.400 + data_ob(n,2,:) = dim_avg(data(month|:,year|:))
1.401 +
1.402 + data = fo->H_f
1.403 + data_ob(n,3,:) = dim_avg(data(month|:,year|:))
1.404 +
1.405 + data = fo->GPP_or_MDS
1.406 + data_ob(n,4,:) = dim_avg(data(month|:,year|:))
1.407 +
1.408 + data = fo->Reco_or
1.409 + data_ob(n,5,:) = dim_avg(data(month|:,year|:))
1.410 +
1.411 + delete (data)
1.412 + delete (fo)
1.413 +
1.414 + end do
1.415 +
1.416 +;---------------------------------------------------
1.417 +; get model data
1.418 +
1.419 + dirm_root = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
1.420 + film = model_name+"_"+"1990-2004"+"_MONS_climo.nc"
1.421 + fm = addfile (dirm_root+film,"r")
1.422 +
1.423 +; print (film)
1.424 +
1.425 +; change to unit of observed (u mol/m2/s)
1.426 +; Model_units [=] gC/m2/s
1.427 +; 12. = molecular weight of C
1.428 +; u mol = 1e-6 mol
1.429 + factor = 1e6 /12.
1.430 +
1.431 + ENERGY ="new"
1.432 +
1.433 + xm = fm->lon
1.434 + ym = fm->lat
1.435 +
1.436 + nlat = dimsizes(ym)
1.437 + nlon = dimsizes(xm)
1.438 +
1.439 + data_mod0 = new ((/nfield, nmon, nlat, nlon/),float)
1.440 + data_mod = new ((/nstation, nfield, nmon/),float)
1.441 +
1.442 +if (ENERGY .eq. "old") then
1.443 +
1.444 + data = fm->NEE
1.445 + data_mod0(0,:,:,:) = data(:,:,:) * factor
1.446 +
1.447 +; data = fm->LATENT
1.448 + data1 = fm->FCEV
1.449 + data2 = fm->FCTR
1.450 + data3 = fm->FGEV
1.451 + data_mod0(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:)
1.452 + delete (data1)
1.453 + delete (data2)
1.454 + delete (data3)
1.455 +
1.456 +; data = fm->SENSIBLE
1.457 + data = fm->FSH
1.458 + data_mod0(3,:,:,:) = data(:,:,:)
1.459 +
1.460 +; data = fm->NETRAD
1.461 + data1 = fm->FSA
1.462 + data2 = fm->FIRA
1.463 + data_mod0(1,:,:,:) = data1(:,:,:)-data2(:,:,:)
1.464 + delete (data1)
1.465 + delete (data2)
1.466 +
1.467 +else
1.468 +
1.469 + data = fm->NEE
1.470 + data_mod0(0,:,:,:) = data(:,:,:) * factor
1.471 +
1.472 + data = fm->NETRAD
1.473 + data_mod0(1,:,:,:) = data(:,:,:)
1.474 +
1.475 + data = fm->LATENT
1.476 + data_mod0(2,:,:,:) = data(:,:,:)
1.477 +
1.478 +; data = fm->SENSIBLE
1.479 + data = fm->FSH
1.480 + data_mod0(3,:,:,:) = data(:,:,:)
1.481 +end if
1.482 +
1.483 + data = fm->GPP
1.484 + data_mod0(4,:,:,:) = data(:,:,:) * factor
1.485 +
1.486 + if (model .eq. "cn") then
1.487 + data = fm->ER
1.488 + else
1.489 + data1 = fm->AR
1.490 + data2 = fm->HR
1.491 + data = data1 + data2
1.492 +
1.493 + delete (data1)
1.494 + delete (data2)
1.495 + end if
1.496 +
1.497 + data_mod0(5,:,:,:) = data(:,:,:) * factor
1.498 +
1.499 + delete (data)
1.500 + delete (fm)
1.501 +
1.502 +;************************************************************
1.503 +; interpolate model data into observed station
1.504 +; note: model is 0-360E, 90S-90N
1.505 +;************************************************************
1.506 +
1.507 +; to be able to handle observation at (-89.98,-24.80)
1.508 + ym(0) = -90.
1.509 +
1.510 + yy = linint2_points_Wrap(xm,ym,data_mod0,True,lon_ob,lat_ob,0)
1.511 +
1.512 +; print (yy)
1.513 +
1.514 + do n = 0, nstation-1
1.515 + data_mod(n,:,:) = yy(:,:,n)
1.516 + end do
1.517 +
1.518 + delete (data_mod0)
1.519 + delete (yy)
1.520 +
1.521 +;************************************************************
1.522 +; compute correlation coef and M score
1.523 +;************************************************************
1.524 +
1.525 + score_max = 5.
1.526 +
1.527 + ccr = new ((/nstation, nfield/),float)
1.528 + M_score = new ((/nstation, nfield/),float)
1.529 +
1.530 + do n=0,nstation-1
1.531 + do m=0,nfield-1
1.532 + ccr(n,m) = esccr(data_ob(n,m,:),data_mod(n,m,:),0)
1.533 + bias = sum(abs(data_mod(n,m,:)-data_ob(n,m,:))/(abs(data_mod(n,m,:))+abs(data_ob(n,m,:))))
1.534 + M_score(n,m) = (1. -(bias/nmon)) * score_max
1.535 + end do
1.536 + end do
1.537 +
1.538 + M_co2 = avg(M_score(:,0))
1.539 + M_rad = avg(M_score(:,1))
1.540 + M_lh = avg(M_score(:,2))
1.541 + M_sh = avg(M_score(:,3))
1.542 + M_gpp = avg(M_score(:,4))
1.543 + M_er = avg(M_score(:,5))
1.544 + M_all = M_co2+ M_rad +M_lh + M_sh + M_gpp + M_er
1.545 +
1.546 + M_energy_co2 = sprintf("%.2f", M_co2)
1.547 + M_energy_rad = sprintf("%.2f", M_rad)
1.548 + M_energy_lh = sprintf("%.2f", M_lh )
1.549 + M_energy_sh = sprintf("%.2f", M_sh )
1.550 + M_energy_gpp = sprintf("%.2f", M_gpp)
1.551 + M_energy_er = sprintf("%.2f", M_er )
1.552 + M_energy_all = sprintf("%.2f", M_all)
1.553 +
1.554 +;*******************************************************************
1.555 +; for station line plot
1.556 +;*******************************************************************
1.557 +
1.558 +; for x-axis in xyplot
1.559 + mon = ispan(1,12,1)
1.560 + mon@long_name = "month"
1.561 +
1.562 + res = True ; plot mods desired
1.563 + res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker
1.564 + res@xyLineColors = (/"blue","red"/) ; line color (ob,model)
1.565 +;-------------------------------------------------------------------------
1.566 +; Add a boxed legend using the more simple method
1.567 +
1.568 + res@pmLegendDisplayMode = "Always"
1.569 +; res@pmLegendWidthF = 0.1
1.570 + res@pmLegendWidthF = 0.08
1.571 + res@pmLegendHeightF = 0.06
1.572 +; res@pmLegendOrthogonalPosF = -1.17
1.573 +; res@pmLegendOrthogonalPosF = -1.00 ;(downward)
1.574 + res@pmLegendOrthogonalPosF = -0.30 ;(downward)
1.575 +
1.576 +; res@pmLegendParallelPosF = 0.18
1.577 + res@pmLegendParallelPosF = 0.23 ;(rightward)
1.578 +
1.579 +; res@lgPerimOn = False
1.580 + res@lgLabelFontHeightF = 0.015
1.581 + res@xyExplicitLegendLabels = (/"observed",model_name/)
1.582 +;-------------------------------------------------------------------
1.583 +; for panel plot
1.584 + res@gsnFrame = False ; Do not draw plot
1.585 + res@gsnDraw = False ; Do not advance frame
1.586 +
1.587 + pres = True ; panel plot mods desired
1.588 + pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around
1.589 + ; indiv. plots in panel
1.590 + pres@gsnMaximize = True ; fill the page
1.591 +;-------------------------------------------------------------------
1.592 +
1.593 + plot_data = new((/2,12/),float)
1.594 + plot_data!0 = "case"
1.595 + plot_data!1 = "month"
1.596 +
1.597 + do n = 0,nstation-1
1.598 +;----------------------------
1.599 +; for observed
1.600 +
1.601 + plot_name = station(n)+"_ob"
1.602 + title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")"
1.603 + res@tiMainString = title
1.604 +
1.605 + wks = gsn_open_wks (plot_type,plot_name)
1.606 + plot=new(nfield,graphic) ; create graphic array
1.607 +
1.608 + do i = 0,nfield-1
1.609 + plot_data(0,:) = (/data_ob (n,i,:)/)
1.610 + plot_data@long_name = field(i)+" ("+field_unit(i)+")"
1.611 + plot(i)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot
1.612 + end do
1.613 +
1.614 + gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot
1.615 +
1.616 + system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
1.617 + "rm "+plot_name+"."+plot_type)
1.618 +
1.619 + clear (wks)
1.620 + delete (plot)
1.621 +;----------------------------
1.622 +; for model_vs_ob
1.623 +
1.624 + plot_name = station(n)+"_model_vs_ob"
1.625 + title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")"
1.626 + res@tiMainString = title
1.627 +
1.628 + wks = gsn_open_wks (plot_type,plot_name)
1.629 + plot=new(nfield,graphic) ; create graphic array
1.630 +
1.631 + do i = 0,nfield-1
1.632 + plot_data(0,:) = (/data_ob (n,i,:)/)
1.633 + plot_data(1,:) = (/data_mod(n,i,:)/)
1.634 + plot_data@long_name = field(i)+" ("+field_unit(i)+")"
1.635 + plot(i)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot
1.636 + end do
1.637 +
1.638 + gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot
1.639 +
1.640 + system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \
1.641 + "rm "+plot_name+"."+plot_type)
1.642 +
1.643 + clear (wks)
1.644 + delete (plot)
1.645 + end do
1.646 +
1.647 +;###################################################################
1.648 +; for the following tables,
1.649 +; sort by latitude in decending order (N->S)
1.650 +; sort by lat in decending order (N->S)
1.651 +
1.652 + isort = dim_pqsort(lat_ob,-1)
1.653 +
1.654 + station_sort = station(isort)
1.655 + lat_ob_sort = lat_ob(isort)
1.656 + lon_ob_sort = lon_ob(isort)
1.657 + year_ob_sort = year_ob(isort)
1.658 + M_score_sort = M_score(isort,:)
1.659 +
1.660 + print(isort)
1.661 + print(lat_ob_sort)
1.662 +;###################################################################
1.663 +;*******************************************************************
1.664 +; html table of site: observed
1.665 +;*******************************************************************
1.666 + output_html = "line_ob.html"
1.667 +
1.668 + header = (/"<HTML>" \
1.669 + ,"<HEAD>" \
1.670 + ,"<TITLE>CLAMP metrics</TITLE>" \
1.671 + ,"</HEAD>" \
1.672 + ,"<H1>Energy at Site: Observation</H1>" \
1.673 + /)
1.674 + footer = "</HTML>"
1.675 +
1.676 + table_header = (/ \
1.677 + "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \
1.678 + ,"<tr>" \
1.679 + ," <th bgcolor=DDDDDD >Site Name</th>" \
1.680 + ," <th bgcolor=DDDDDD >Latitude</th>" \
1.681 + ," <th bgcolor=DDDDDD >Longitude</th>" \
1.682 + ," <th bgcolor=DDDDDD >Observed</th>" \
1.683 + ,"</tr>" \
1.684 + /)
1.685 + table_footer = "</table>"
1.686 + row_header = "<tr>"
1.687 + row_footer = "</tr>"
1.688 +
1.689 + lines = new(50000,string)
1.690 + nline = 0
1.691 +
1.692 + set_line(lines,nline,header)
1.693 + set_line(lines,nline,table_header)
1.694 +;-----------------------------------------------
1.695 +; row of table
1.696 +
1.697 + do n = 0,nstation-1
1.698 + set_line(lines,nline,row_header)
1.699 +
1.700 + txt0 = station_sort(n)
1.701 + txt1 = sprintf("%5.2f", lat_ob_sort(n))
1.702 + txt2 = sprintf("%5.2f", lon_ob_sort(n))
1.703 + txt3 = year_ob_sort(n)
1.704 +
1.705 + set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>")
1.706 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.707 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.708 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.709 +
1.710 + set_line(lines,nline,row_footer)
1.711 + end do
1.712 +;-----------------------------------------------
1.713 + set_line(lines,nline,table_footer)
1.714 + set_line(lines,nline,footer)
1.715 +
1.716 +; Now write to an HTML file.
1.717 + idx = ind(.not.ismissing(lines))
1.718 + if(.not.any(ismissing(idx))) then
1.719 + asciiwrite(output_html,lines(idx))
1.720 + else
1.721 + print ("error?")
1.722 + end if
1.723 + delete (idx)
1.724 +
1.725 +;*******************************************************************
1.726 +; score and line table : model vs observed
1.727 +;*******************************************************************
1.728 + output_html = "score+line_vs_ob.html"
1.729 +
1.730 + header = (/"<HTML>" \
1.731 + ,"<HEAD>" \
1.732 + ,"<TITLE>CLAMP metrics</TITLE>" \
1.733 + ,"</HEAD>" \
1.734 + ,"<H1>Energy at Site: Model "+model_name+"</H1>" \
1.735 + /)
1.736 + footer = "</HTML>"
1.737 +
1.738 + delete (table_header)
1.739 + table_header = (/ \
1.740 + "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \
1.741 + ,"<tr>" \
1.742 + ," <th bgcolor=DDDDDD >Site Name</th>" \
1.743 + ," <th bgcolor=DDDDDD >Latitude</th>" \
1.744 + ," <th bgcolor=DDDDDD >Longitude</th>" \
1.745 + ," <th bgcolor=DDDDDD >Observed</th>" \
1.746 + ," <th bgcolor=DDDDDD >CO2 Flux</th>" \
1.747 + ," <th bgcolor=DDDDDD >Net Radiation</th>" \
1.748 + ," <th bgcolor=DDDDDD >Latent Heat</th>" \
1.749 + ," <th bgcolor=DDDDDD >Sensible Heat</th>" \
1.750 + ," <th bgcolor=DDDDDD >GPP Glux</th>" \
1.751 + ," <th bgcolor=DDDDDD >Respiration</th>" \
1.752 + ," <th bgcolor=DDDDDD >Average</th>" \
1.753 + ,"</tr>" \
1.754 + /)
1.755 + table_footer = "</table>"
1.756 + row_header = "<tr>"
1.757 + row_footer = "</tr>"
1.758 +
1.759 + lines = new(50000,string)
1.760 + nline = 0
1.761 +
1.762 + set_line(lines,nline,header)
1.763 + set_line(lines,nline,table_header)
1.764 +;-----------------------------------------------
1.765 +; row of table
1.766 +
1.767 + do n = 0,nstation-1
1.768 + set_line(lines,nline,row_header)
1.769 +
1.770 + txt0 = station_sort(n)
1.771 + txt1 = sprintf("%5.2f", lat_ob_sort(n))
1.772 + txt2 = sprintf("%5.2f", lon_ob_sort(n))
1.773 + txt3 = year_ob_sort(n)
1.774 + txt4 = sprintf("%5.2f", M_score_sort(n,0))
1.775 + txt5 = sprintf("%5.2f", M_score_sort(n,1))
1.776 + txt6 = sprintf("%5.2f", M_score_sort(n,2))
1.777 + txt7 = sprintf("%5.2f", M_score_sort(n,3))
1.778 + txt8 = sprintf("%5.2f", M_score_sort(n,4))
1.779 + txt9 = sprintf("%5.2f", M_score_sort(n,5))
1.780 + txt10 = sprintf("%5.2f", avg(M_score_sort(n,:)))
1.781 +
1.782 + set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>")
1.783 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.784 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.785 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.786 + set_line(lines,nline,"<th>"+txt4+"</th>")
1.787 + set_line(lines,nline,"<th>"+txt5+"</th>")
1.788 + set_line(lines,nline,"<th>"+txt6+"</th>")
1.789 + set_line(lines,nline,"<th>"+txt7+"</th>")
1.790 + set_line(lines,nline,"<th>"+txt8+"</th>")
1.791 + set_line(lines,nline,"<th>"+txt9+"</th>")
1.792 + set_line(lines,nline,"<th>"+txt10+"</th>")
1.793 +
1.794 + set_line(lines,nline,row_footer)
1.795 + end do
1.796 +
1.797 +; last row, summary
1.798 + set_line(lines,nline,row_header)
1.799 +
1.800 + txt0 = "All_"+sprintf("%.0f", nstation)
1.801 + txt1 = "-"
1.802 + txt2 = "-"
1.803 + txt3 = "-"
1.804 + txt4 = M_energy_co2
1.805 + txt5 = M_energy_rad
1.806 + txt6 = M_energy_lh
1.807 + txt7 = M_energy_sh
1.808 + txt8 = M_energy_gpp
1.809 + txt9 = M_energy_er
1.810 + txt10 = M_energy_all
1.811 +
1.812 + set_line(lines,nline,"<th>"+txt0+"</th>")
1.813 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.814 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.815 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.816 + set_line(lines,nline,"<th>"+txt4+"</th>")
1.817 + set_line(lines,nline,"<th>"+txt5+"</th>")
1.818 + set_line(lines,nline,"<th>"+txt6+"</th>")
1.819 + set_line(lines,nline,"<th>"+txt7+"</th>")
1.820 + set_line(lines,nline,"<th>"+txt8+"</th>")
1.821 + set_line(lines,nline,"<th>"+txt9+"</th>")
1.822 + set_line(lines,nline,"<th>"+txt10+"</th>")
1.823 +
1.824 + set_line(lines,nline,row_footer)
1.825 +;-----------------------------------------------
1.826 + set_line(lines,nline,table_footer)
1.827 + set_line(lines,nline,footer)
1.828 +
1.829 +; Now write to an HTML file.
1.830 + idx = ind(.not.ismissing(lines))
1.831 + if(.not.any(ismissing(idx))) then
1.832 + asciiwrite(output_html,lines(idx))
1.833 + else
1.834 + print ("error?")
1.835 + end if
1.836 + delete (idx)
1.837 +
1.838 +;***************************************************************************
1.839 +; output plots
1.840 +;***************************************************************************
1.841 + output_dir = model_name+"/ameriflux"
1.842 +
1.843 + system("mv *.png *.html " + output_dir)
1.844 +;***************************************************************************
1.845 +end