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;********************************************************
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; required command line input parameters:
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; ncl 'model_name="10cn" model_grid="T42" dirm="/.../ film="..."' 01.npp.ncl
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;
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; histogram normalized by rain and compute correleration
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;**************************************************************
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl.test"
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl.test"
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load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
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;**************************************************************
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procedure set_line(lines:string,nline:integer,newlines:string)
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begin
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; add line to ascci/html file
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14 |
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nnewlines = dimsizes(newlines)
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if(nline+nnewlines-1.ge.dimsizes(lines))
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print("set_line: bad index, not setting anything.")
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return
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end if
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lines(nline:nline+nnewlines-1) = newlines
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; print ("lines = " + lines(nline:nline+nnewlines-1))
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nline = nline + nnewlines
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return
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end
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;**************************************************************
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; Main code.
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begin
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28 |
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plot_type = "ps"
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plot_type_new = "png"
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32 |
;************************************************
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; read data: model
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;************************************************
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co2_i = 283.1878
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co2_f = 364.1252
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37 |
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model_grid = "T42"
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39 |
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40 |
model_name_i = "i01.07cn"
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model_name_f = "i01.10cn"
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|
42 |
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;model_name_i = "i01.07casa"
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;model_name_f = "i01.10casa"
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45 |
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model_name = model_name_f
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47 |
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dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
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film_i = model_name_i + "_1990-2004_ANN_climo.nc"
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film_f = model_name_f + "_1990-2004_ANN_climo.nc"
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51 |
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fm_i = addfile (dirm+film_i,"r")
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fm_f = addfile (dirm+film_f,"r")
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|
54 |
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xm = fm_f->lon
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ym = fm_f->lat
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57 |
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npp_i = fm_i->NPP
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59 |
npp_f = fm_f->NPP
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60 |
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61 |
;Units for these variables are:
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62 |
;npp_i: g C/m^2/s
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|
63 |
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|
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nsec_per_year = 60*60*24*365
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npp_i = npp_i * nsec_per_year
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|
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npp_f = npp_f * nsec_per_year
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|
68 |
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|
69 |
;===================================================
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|
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; read data: observed -station
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|
71 |
;===================================================
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72 |
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|
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station = (/"DukeFACE" \
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|
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,"AspenFACE" \
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|
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,"ORNL-FACE" \
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|
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,"POP-EUROFACE" \
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|
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/)
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78 |
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lat_ob = (/ 35.58, 45.40, 35.54, 42.22/)
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lon_ob = (/-79.05, -89.37, -84.20, 11.48/)
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|
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lon_ob = where(lon_ob.lt.0.,lon_ob+360.,lon_ob)
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|
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;print (lon_ob)
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|
83 |
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|
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n_sta = dimsizes(station)
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|
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beta_4_ob = new((/n_sta/),float)
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|
86 |
beta_4_ob = 0.60
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|
87 |
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|
88 |
;===================================================
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|
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; get model data at station
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|
90 |
;===================================================
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|
91 |
|
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|
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npp_i_4 =linint2_points(xm,ym,npp_i,True,lon_ob,lat_ob,0)
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|
93 |
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npp_f_4 =linint2_points(xm,ym,npp_f,True,lon_ob,lat_ob,0)
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|
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|
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;print (npp_i_4)
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|
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;print (npp_f_4)
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|
98 |
;============================
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|
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;compute beta_4
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;============================
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beta_4 = new((/n_sta/),float)
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beta_4 = ((npp_f_4/npp_i_4) - 1.)/log(co2_f/co2_i)
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|
104 |
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|
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beta_4_avg = avg(beta_4)
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106 |
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;print (beta_4)
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;print (beta_4_avg)
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|
109 |
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|
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;M_beta = abs((beta_4_avg/beta_4_ob) - 1.)* 3.
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|
111 |
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|
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bias = sum(abs(beta_4-beta_4_ob)/(abs(beta_4)+abs(beta_4_ob)))
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|
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M_beta = (1. - (bias/n_sta))*3.
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|
114 |
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print (M_beta)
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|
116 |
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117 |
;=========================
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118 |
; for html table - station
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119 |
;=========================
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|
120 |
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|
121 |
output_html = "table_station.html"
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|
122 |
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123 |
; column (not including header column)
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|
124 |
|
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|
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col_head = (/"Latitude","Longitude","CO2_i","CO2_f","NPP_i","NPP_f","Beta_model","Beta_ob"/)
|
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|
126 |
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|
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ncol = dimsizes(col_head)
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|
128 |
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|
129 |
; row (not including header row)
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|
130 |
row_head = (/"DukeFACE" \
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|
131 |
,"AspenFACE" \
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|
132 |
,"ORNL-FACE" \
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|
133 |
,"POP-EUROFACE" \
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|
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,"All Station" \
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|
135 |
/)
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nrow = dimsizes(row_head)
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137 |
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|
138 |
; arrays to be passed to table.
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text4 = new ((/nrow, ncol/),string )
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140 |
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do i=0,nrow-2
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|
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text4(i,0) = sprintf("%.1f",lat_ob(i))
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|
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text4(i,1) = sprintf("%.1f",lon_ob(i))
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|
144 |
text4(i,2) = sprintf("%.1f",co2_i)
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|
145 |
text4(i,3) = sprintf("%.1f",co2_f)
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|
146 |
text4(i,4) = sprintf("%.1f",npp_i_4(0,i))
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|
147 |
text4(i,5) = sprintf("%.1f",npp_f_4(0,i))
|
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|
148 |
text4(i,6) = sprintf("%.1f",beta_4(i))
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|
149 |
text4(i,7) = "-"
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|
150 |
end do
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|
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text4(nrow-1,0) = "-"
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|
152 |
text4(nrow-1,1) = "-"
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|
153 |
text4(nrow-1,2) = "-"
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|
154 |
text4(nrow-1,3) = "-"
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|
155 |
text4(nrow-1,4) = "-"
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|
156 |
text4(nrow-1,5) = "-"
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|
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text4(nrow-1,6) = sprintf("%.1f",beta_4_avg)
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|
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text4(nrow-1,7) = sprintf("%.1f",avg(beta_4_ob))
|
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|
159 |
|
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|
160 |
;-----------
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161 |
; html table
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|
162 |
;-----------
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|
163 |
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164 |
header_text = "<H1>Beta Factor: Model "+model_name+"</H1>"
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|
165 |
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header = (/"<HTML>" \
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|
167 |
,"<HEAD>" \
|
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|
168 |
,"<TITLE>CLAMP metrics</TITLE>" \
|
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|
169 |
,"</HEAD>" \
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|
170 |
,header_text \
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|
171 |
/)
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|
172 |
footer = "</HTML>"
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|
173 |
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|
174 |
table_header = (/ \
|
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|
175 |
"<table border=1 cellspacing=0 cellpadding=3 width=80%>" \
|
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|
176 |
,"<tr>" \
|
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|
177 |
," <th bgcolor=DDDDDD >Station</th>" \
|
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|
178 |
," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \
|
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|
179 |
," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \
|
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|
180 |
," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \
|
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|
181 |
," <th bgcolor=DDDDDD >"+col_head(3)+"</th>" \
|
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|
182 |
," <th bgcolor=DDDDDD >"+col_head(4)+"</th>" \
|
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|
183 |
," <th bgcolor=DDDDDD >"+col_head(5)+"</th>" \
|
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|
184 |
," <th bgcolor=DDDDDD >"+col_head(6)+"</th>" \
|
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|
185 |
," <th bgcolor=DDDDDD >"+col_head(7)+"</th>" \
|
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|
186 |
,"</tr>" \
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|
187 |
/)
|
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|
188 |
table_footer = "</table>"
|
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|
189 |
row_header = "<tr>"
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|
190 |
row_footer = "</tr>"
|
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|
191 |
|
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|
192 |
lines = new(50000,string)
|
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|
193 |
nline = 0
|
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|
194 |
|
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|
195 |
set_line(lines,nline,header)
|
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|
196 |
set_line(lines,nline,table_header)
|
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|
197 |
;-----------------------------------------------
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|
198 |
;row of table
|
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|
199 |
|
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|
200 |
do n = 0,nrow-1
|
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|
201 |
set_line(lines,nline,row_header)
|
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|
202 |
|
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|
203 |
txt1 = row_head(n)
|
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|
204 |
txt2 = text4(n,0)
|
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|
205 |
txt3 = text4(n,1)
|
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|
206 |
txt4 = text4(n,2)
|
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|
207 |
txt5 = text4(n,3)
|
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|
208 |
txt6 = text4(n,4)
|
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|
209 |
txt7 = text4(n,5)
|
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|
210 |
txt8 = text4(n,6)
|
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|
211 |
txt9 = text4(n,7)
|
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|
212 |
|
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|
213 |
set_line(lines,nline,"<th>"+txt1+"</th>")
|
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|
214 |
set_line(lines,nline,"<th>"+txt2+"</th>")
|
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|
215 |
set_line(lines,nline,"<th>"+txt3+"</th>")
|
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|
216 |
set_line(lines,nline,"<th>"+txt4+"</th>")
|
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|
217 |
set_line(lines,nline,"<th>"+txt5+"</th>")
|
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|
218 |
set_line(lines,nline,"<th>"+txt6+"</th>")
|
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|
219 |
set_line(lines,nline,"<th>"+txt7+"</th>")
|
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|
220 |
set_line(lines,nline,"<th>"+txt8+"</th>")
|
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|
221 |
set_line(lines,nline,"<th>"+txt9+"</th>")
|
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|
222 |
|
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|
223 |
set_line(lines,nline,row_footer)
|
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|
224 |
end do
|
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|
225 |
;-----------------------------------------------
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|
226 |
set_line(lines,nline,table_footer)
|
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|
227 |
set_line(lines,nline,footer)
|
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|
228 |
|
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|
229 |
; Now write to an HTML file.
|
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|
230 |
idx = ind(.not.ismissing(lines))
|
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|
231 |
if(.not.any(ismissing(idx))) then
|
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|
232 |
asciiwrite(output_html,lines(idx))
|
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|
233 |
else
|
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|
234 |
print ("error?")
|
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|
235 |
end if
|
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|
236 |
|
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|
237 |
delete (col_head)
|
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|
238 |
delete (row_head)
|
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|
239 |
delete (text4)
|
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|
240 |
delete (table_header)
|
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|
241 |
delete (idx)
|
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|
242 |
|
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|
243 |
;************************************************
|
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|
244 |
; read data: observed-2
|
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|
245 |
;************************************************
|
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|
246 |
|
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|
247 |
ob_name = "MODIS MOD 15A2 2000-2005"
|
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|
248 |
|
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|
249 |
diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/"
|
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|
250 |
filo = "land_class_"+model_grid+".nc"
|
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|
251 |
|
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|
252 |
fo = addfile(diro+filo,"r")
|
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|
253 |
|
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|
254 |
classob = tofloat(fo->LAND_CLASS)
|
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|
255 |
|
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|
256 |
nclass = 20
|
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|
257 |
|
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|
258 |
;*******************************************************************
|
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|
259 |
; Calculate "nice" bins for binning the data in equally spaced ranges
|
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|
260 |
;********************************************************************
|
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|
261 |
|
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|
262 |
nclassn = nclass + 1
|
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|
263 |
range = fspan(0,nclassn-1,nclassn)
|
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|
264 |
; print (range)
|
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|
265 |
|
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|
266 |
; Use this range information to grab all the values in a
|
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|
267 |
; particular range, and then take an average.
|
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|
268 |
|
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|
269 |
nr = dimsizes(range)
|
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|
270 |
nx = nr-1
|
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|
271 |
xvalues = new((/2,nx/),float)
|
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|
272 |
xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2.
|
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|
273 |
dx = xvalues(0,1) - xvalues(0,0) ; range width
|
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|
274 |
dx4 = dx/4 ; 1/4 of the range
|
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|
275 |
xvalues(1,:) = xvalues(0,:) - dx/5.
|
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|
276 |
; get data
|
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|
277 |
|
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|
278 |
base_1D = ndtooned(classob)
|
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|
279 |
data1_1D = ndtooned(npp_i)
|
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|
280 |
data2_1D = ndtooned(npp_f)
|
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|
281 |
|
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|
282 |
; output
|
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|
283 |
|
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|
284 |
yvalues = new((/2,nx/),float)
|
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|
285 |
|
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|
286 |
do nd=0,1
|
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|
287 |
|
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|
288 |
; See if we are doing data1 (nd=0) or data2 (nd=1).
|
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|
289 |
|
forrest@0
|
290 |
base = base_1D
|
forrest@0
|
291 |
|
forrest@0
|
292 |
if(nd.eq.0) then
|
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|
293 |
data = data1_1D
|
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|
294 |
else
|
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|
295 |
data = data2_1D
|
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|
296 |
end if
|
forrest@0
|
297 |
|
forrest@0
|
298 |
; Loop through each range, using base.
|
forrest@0
|
299 |
|
forrest@0
|
300 |
do i=0,nr-2
|
forrest@0
|
301 |
if (i.ne.(nr-2)) then
|
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|
302 |
; print("")
|
forrest@0
|
303 |
; print("In range ["+range(i)+","+range(i+1)+")")
|
forrest@0
|
304 |
idx = ind((base.ge.range(i)).and.(base.lt.range(i+1)))
|
forrest@0
|
305 |
else
|
forrest@0
|
306 |
; print("")
|
forrest@0
|
307 |
; print("In range ["+range(i)+",)")
|
forrest@0
|
308 |
idx = ind(base.ge.range(i))
|
forrest@0
|
309 |
end if
|
forrest@0
|
310 |
|
forrest@0
|
311 |
; Calculate average
|
forrest@0
|
312 |
|
forrest@0
|
313 |
if(.not.any(ismissing(idx))) then
|
forrest@0
|
314 |
yvalues(nd,i) = avg(data(idx))
|
forrest@0
|
315 |
count = dimsizes(idx)
|
forrest@0
|
316 |
else
|
forrest@0
|
317 |
yvalues(nd,i) = yvalues@_FillValue
|
forrest@0
|
318 |
count = 0
|
forrest@0
|
319 |
end if
|
forrest@0
|
320 |
|
forrest@0
|
321 |
;#############################################################
|
forrest@0
|
322 |
; set the following 4 classes to _FillValue:
|
forrest@0
|
323 |
; Water Bodies(0), Urban and Build-Up(13),
|
forrest@0
|
324 |
; Permenant Snow and Ice(15), Unclassified(17)
|
forrest@0
|
325 |
|
forrest@0
|
326 |
if (i.eq.0 .or. i.eq.13 .or. i.eq.15 .or. i.eq.17) then
|
forrest@0
|
327 |
yvalues(nd,i) = yvalues@_FillValue
|
forrest@0
|
328 |
count = 0
|
forrest@0
|
329 |
end if
|
forrest@0
|
330 |
;#############################################################
|
forrest@0
|
331 |
|
forrest@0
|
332 |
; print(nd + ": " + count + " points, avg = " + yvalues(nd,i))
|
forrest@0
|
333 |
|
forrest@0
|
334 |
; Clean up for next time in loop.
|
forrest@0
|
335 |
|
forrest@0
|
336 |
delete(idx)
|
forrest@0
|
337 |
end do
|
forrest@0
|
338 |
|
forrest@0
|
339 |
delete(data)
|
forrest@0
|
340 |
end do
|
forrest@0
|
341 |
|
forrest@0
|
342 |
|
forrest@0
|
343 |
;============================
|
forrest@0
|
344 |
;compute beta
|
forrest@0
|
345 |
;============================
|
forrest@0
|
346 |
|
forrest@0
|
347 |
u = yvalues(0,:)
|
forrest@0
|
348 |
v = yvalues(1,:)
|
forrest@0
|
349 |
|
forrest@0
|
350 |
good = ind(.not.ismissing(u) .and. .not.ismissing(v))
|
forrest@0
|
351 |
|
forrest@0
|
352 |
uu = u(good)
|
forrest@0
|
353 |
vv = v(good)
|
forrest@0
|
354 |
|
forrest@0
|
355 |
n_biome = dimsizes(uu)
|
forrest@0
|
356 |
|
forrest@0
|
357 |
beta_biome = new((/n_biome/),float)
|
forrest@0
|
358 |
|
forrest@0
|
359 |
beta_biome = ((vv/uu) - 1.)/log(co2_f/co2_i)
|
forrest@0
|
360 |
|
forrest@0
|
361 |
beta_biome_avg = avg(beta_biome)
|
forrest@0
|
362 |
|
forrest@0
|
363 |
;print (beta_biome_avg)
|
forrest@0
|
364 |
|
forrest@0
|
365 |
;===========================
|
forrest@0
|
366 |
; for html table - biome
|
forrest@0
|
367 |
;===========================
|
forrest@0
|
368 |
|
forrest@0
|
369 |
output_html = "table_biome.html"
|
forrest@0
|
370 |
|
forrest@0
|
371 |
; column (not including header column)
|
forrest@0
|
372 |
|
forrest@0
|
373 |
col_head = (/"CO2_i","CO2_f","NPP_i","NPP_f","Beta_model"/)
|
forrest@0
|
374 |
|
forrest@0
|
375 |
ncol = dimsizes(col_head)
|
forrest@0
|
376 |
|
forrest@0
|
377 |
; row (not including header row)
|
forrest@0
|
378 |
; 3 classes removed: Water Bodies, Urban and Build-Up, Unclassified
|
forrest@0
|
379 |
; function "good" removed the last 2 classes
|
forrest@0
|
380 |
; text4(i,2) = sprintf("%.2f",uu(i+1)) remove the first class
|
forrest@0
|
381 |
|
forrest@0
|
382 |
row_head = (/"Evergreen Needleleaf Forests" \
|
forrest@0
|
383 |
,"Evergreen Broadleaf Forests" \
|
forrest@0
|
384 |
,"Deciduous Needleleaf Forest" \
|
forrest@0
|
385 |
,"Deciduous Broadleaf Forests" \
|
forrest@0
|
386 |
,"Mixed Forests" \
|
forrest@0
|
387 |
,"Closed Bushlands" \
|
forrest@0
|
388 |
,"Open Bushlands" \
|
forrest@0
|
389 |
,"Woody Savannas (S. Hem.)" \
|
forrest@0
|
390 |
,"Savannas (S. Hem.)" \
|
forrest@0
|
391 |
,"Grasslands" \
|
forrest@0
|
392 |
,"Permanent Wetlands" \
|
forrest@0
|
393 |
,"Croplands" \
|
forrest@0
|
394 |
,"Cropland/Natural Vegetation Mosaic" \
|
forrest@0
|
395 |
,"Barren or Sparsely Vegetated" \
|
forrest@0
|
396 |
,"Woody Savannas (N. Hem.)" \
|
forrest@0
|
397 |
,"Savannas (N. Hem.)" \
|
forrest@0
|
398 |
,"All Biome" \
|
forrest@0
|
399 |
/)
|
forrest@0
|
400 |
nrow = dimsizes(row_head)
|
forrest@0
|
401 |
|
forrest@0
|
402 |
; arrays to be passed to table.
|
forrest@0
|
403 |
text4 = new ((/nrow, ncol/),string )
|
forrest@0
|
404 |
|
forrest@0
|
405 |
do i=0,nrow-2
|
forrest@0
|
406 |
text4(i,0) = sprintf("%.1f",co2_i)
|
forrest@0
|
407 |
text4(i,1) = sprintf("%.1f",co2_f)
|
forrest@0
|
408 |
text4(i,2) = sprintf("%.1f",uu(i))
|
forrest@0
|
409 |
text4(i,3) = sprintf("%.1f",vv(i))
|
forrest@0
|
410 |
text4(i,4) = sprintf("%.1f",beta_biome(i))
|
forrest@0
|
411 |
end do
|
forrest@0
|
412 |
text4(nrow-1,0) = "-"
|
forrest@0
|
413 |
text4(nrow-1,1) = "-"
|
forrest@0
|
414 |
text4(nrow-1,2) = "-"
|
forrest@0
|
415 |
text4(nrow-1,3) = "-"
|
forrest@0
|
416 |
text4(nrow-1,4) = sprintf("%.1f",beta_biome_avg)
|
forrest@0
|
417 |
|
forrest@0
|
418 |
;**************************************************
|
forrest@0
|
419 |
; html table
|
forrest@0
|
420 |
;**************************************************
|
forrest@0
|
421 |
|
forrest@0
|
422 |
header_text = "<H1>Beta Factor: Model "+model_name+"</H1>"
|
forrest@0
|
423 |
|
forrest@0
|
424 |
header = (/"<HTML>" \
|
forrest@0
|
425 |
,"<HEAD>" \
|
forrest@0
|
426 |
,"<TITLE>CLAMP metrics</TITLE>" \
|
forrest@0
|
427 |
,"</HEAD>" \
|
forrest@0
|
428 |
,header_text \
|
forrest@0
|
429 |
/)
|
forrest@0
|
430 |
footer = "</HTML>"
|
forrest@0
|
431 |
|
forrest@0
|
432 |
table_header = (/ \
|
forrest@0
|
433 |
"<table border=1 cellspacing=0 cellpadding=3 width=80%>" \
|
forrest@0
|
434 |
,"<tr>" \
|
forrest@0
|
435 |
," <th bgcolor=DDDDDD >Biome Class</th>" \
|
forrest@0
|
436 |
," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \
|
forrest@0
|
437 |
," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \
|
forrest@0
|
438 |
," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \
|
forrest@0
|
439 |
," <th bgcolor=DDDDDD >"+col_head(3)+"</th>" \
|
forrest@0
|
440 |
," <th bgcolor=DDDDDD >"+col_head(4)+"</th>" \
|
forrest@0
|
441 |
,"</tr>" \
|
forrest@0
|
442 |
/)
|
forrest@0
|
443 |
table_footer = "</table>"
|
forrest@0
|
444 |
row_header = "<tr>"
|
forrest@0
|
445 |
row_footer = "</tr>"
|
forrest@0
|
446 |
|
forrest@0
|
447 |
lines = new(50000,string)
|
forrest@0
|
448 |
nline = 0
|
forrest@0
|
449 |
|
forrest@0
|
450 |
set_line(lines,nline,header)
|
forrest@0
|
451 |
set_line(lines,nline,table_header)
|
forrest@0
|
452 |
;-----------------------------------------------
|
forrest@0
|
453 |
;row of table
|
forrest@0
|
454 |
|
forrest@0
|
455 |
do n = 0,nrow-1
|
forrest@0
|
456 |
set_line(lines,nline,row_header)
|
forrest@0
|
457 |
|
forrest@0
|
458 |
txt1 = row_head(n)
|
forrest@0
|
459 |
txt2 = text4(n,0)
|
forrest@0
|
460 |
txt3 = text4(n,1)
|
forrest@0
|
461 |
txt4 = text4(n,2)
|
forrest@0
|
462 |
txt5 = text4(n,3)
|
forrest@0
|
463 |
txt6 = text4(n,4)
|
forrest@0
|
464 |
|
forrest@0
|
465 |
set_line(lines,nline,"<th>"+txt1+"</th>")
|
forrest@0
|
466 |
set_line(lines,nline,"<th>"+txt2+"</th>")
|
forrest@0
|
467 |
set_line(lines,nline,"<th>"+txt3+"</th>")
|
forrest@0
|
468 |
set_line(lines,nline,"<th>"+txt4+"</th>")
|
forrest@0
|
469 |
set_line(lines,nline,"<th>"+txt5+"</th>")
|
forrest@0
|
470 |
set_line(lines,nline,"<th>"+txt6+"</th>")
|
forrest@0
|
471 |
|
forrest@0
|
472 |
set_line(lines,nline,row_footer)
|
forrest@0
|
473 |
end do
|
forrest@0
|
474 |
;-----------------------------------------------
|
forrest@0
|
475 |
set_line(lines,nline,table_footer)
|
forrest@0
|
476 |
set_line(lines,nline,footer)
|
forrest@0
|
477 |
|
forrest@0
|
478 |
; Now write to an HTML file.
|
forrest@0
|
479 |
idx = ind(.not.ismissing(lines))
|
forrest@0
|
480 |
if(.not.any(ismissing(idx))) then
|
forrest@0
|
481 |
asciiwrite(output_html,lines(idx))
|
forrest@0
|
482 |
else
|
forrest@0
|
483 |
print ("error?")
|
forrest@0
|
484 |
end if
|
forrest@0
|
485 |
|
forrest@0
|
486 |
end
|
forrest@0
|
487 |
|