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|
1 |
;*************************************************************
|
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|
2 |
; remove histogram plots.
|
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|
3 |
;
|
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|
4 |
; required command line input parameters:
|
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|
5 |
; ncl 'model_name="10cn" model_grid="T42" dirm="/.../ film="..."' 01.npp.ncl
|
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|
6 |
;
|
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|
7 |
; histogram normalized by rain and compute correleration
|
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|
8 |
;**************************************************************
|
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|
9 |
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl.test"
|
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|
10 |
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl.test"
|
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|
11 |
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
|
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|
12 |
;**************************************************************
|
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|
13 |
procedure set_line(lines:string,nline:integer,newlines:string)
|
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|
14 |
begin
|
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|
15 |
; add line to ascci/html file
|
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|
16 |
|
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|
17 |
nnewlines = dimsizes(newlines)
|
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|
18 |
if(nline+nnewlines-1.ge.dimsizes(lines))
|
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|
19 |
print("set_line: bad index, not setting anything.")
|
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|
20 |
return
|
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|
21 |
end if
|
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|
22 |
lines(nline:nline+nnewlines-1) = newlines
|
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|
23 |
; print ("lines = " + lines(nline:nline+nnewlines-1))
|
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|
24 |
nline = nline + nnewlines
|
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|
25 |
return
|
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|
26 |
end
|
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|
27 |
;**************************************************************
|
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|
28 |
; Main code.
|
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|
29 |
begin
|
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|
30 |
|
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|
31 |
plot_type = "ps"
|
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|
32 |
plot_type_new = "png"
|
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|
33 |
|
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|
34 |
;************************************************
|
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|
35 |
; read data: model
|
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|
36 |
;************************************************
|
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|
37 |
|
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|
38 |
;film = "b30.061n_1995-2004_MONS_climo_lnd.nc"
|
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|
39 |
;model_name = "b30.061n"
|
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|
40 |
;model_grid = "T31"
|
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|
41 |
|
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|
42 |
;film = "newcn05_ncep_1i_MONS_climo_lnd.nc"
|
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|
43 |
;model_name = "newcn"
|
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|
44 |
;model_grid = "1.9"
|
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|
45 |
|
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|
46 |
;film = "i01.06cn_1798-2004_MONS_climo.nc"
|
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|
47 |
;model_name = "06cn"
|
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|
48 |
;model_grid = "T42"
|
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|
49 |
|
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|
50 |
;film = "i01.06casa_1798-2004_MONS_climo.nc"
|
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|
51 |
;model_name = "06casa"
|
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|
52 |
;model_grid = "T42"
|
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|
53 |
|
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|
54 |
film = "i01.10cn_1948-2004_MONS_climo.nc"
|
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|
55 |
model_name = "10cn"
|
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|
56 |
model_grid = "T42"
|
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|
57 |
|
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|
58 |
;film = "i01.10casa_1948-2004_MONS_climo.nc"
|
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|
59 |
;model_name = "10casa"
|
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|
60 |
;model_grid = "T42"
|
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|
61 |
|
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|
62 |
dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
|
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|
63 |
fm = addfile(dirm+film,"r")
|
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|
64 |
|
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|
65 |
laimod = fm->TLAI
|
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|
66 |
|
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|
67 |
;************************************************
|
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|
68 |
; read data: observed
|
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|
69 |
;************************************************
|
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|
70 |
|
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|
71 |
ob_name = "MODIS MOD 15A2 2000-2005"
|
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|
72 |
|
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|
73 |
diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/"
|
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|
74 |
filo1 = "land_class_"+model_grid+".nc"
|
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|
75 |
filo2 = "LAI_2000-2005_MONS_"+model_grid+".nc"
|
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|
76 |
|
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|
77 |
fo1 = addfile(diro+filo1,"r")
|
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|
78 |
fo2 = addfile(diro+filo2,"r")
|
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|
79 |
|
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|
80 |
classob = tofloat(fo1->LAND_CLASS)
|
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|
81 |
laiob = fo2->LAI
|
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|
82 |
|
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|
83 |
; input observed data has 20 land-type classes
|
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|
84 |
nclass = 20
|
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|
85 |
|
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|
86 |
;************************************************
|
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|
87 |
; global res
|
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|
88 |
;************************************************
|
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|
89 |
resg = True ; Use plot options
|
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|
90 |
resg@cnFillOn = True ; Turn on color fill
|
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|
91 |
resg@gsnSpreadColors = True ; use full colormap
|
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|
92 |
resg@cnLinesOn = False ; Turn off contourn lines
|
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|
93 |
resg@mpFillOn = False ; Turn off map fill
|
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|
94 |
resg@cnLevelSelectionMode = "ManualLevels" ; Manual contour invtervals
|
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|
95 |
|
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|
96 |
;************************************************
|
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|
97 |
; plot global land class: observed
|
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|
98 |
;************************************************
|
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|
99 |
|
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|
100 |
resg@cnMinLevelValF = 1. ; Min level
|
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|
101 |
resg@cnMaxLevelValF = 19. ; Max level
|
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|
102 |
resg@cnLevelSpacingF = 1. ; interval
|
forrest@0
|
103 |
|
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|
104 |
; global contour ob
|
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|
105 |
classob@_FillValue = 1.e+36
|
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|
106 |
classob = where(classob.eq.0,classob@_FillValue,classob)
|
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|
107 |
|
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|
108 |
plot_name = "global_class_ob"
|
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|
109 |
title = ob_name
|
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|
110 |
resg@tiMainString = title
|
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|
111 |
|
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|
112 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
|
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|
113 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
|
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|
114 |
|
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|
115 |
plot = gsn_csm_contour_map_ce(wks,classob,resg)
|
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|
116 |
frame(wks)
|
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|
117 |
|
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|
118 |
clear (wks)
|
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|
119 |
|
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|
120 |
;*******************************************************************
|
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|
121 |
; for html table : all 4 components (Mean, Max, Phase, Growth)
|
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|
122 |
;*******************************************************************
|
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|
123 |
|
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|
124 |
; column (not including header column)
|
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|
125 |
|
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|
126 |
component = (/"Mean","Max","Phase","Growth"/)
|
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|
127 |
col_head2 = (/"observed",model_name,"M_score" \
|
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|
128 |
,"observed",model_name,"M_score" \
|
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|
129 |
,"observed",model_name,"M_score" \
|
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|
130 |
,"observed",model_name,"M_score" \
|
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|
131 |
/)
|
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|
132 |
|
forrest@0
|
133 |
n_comp = dimsizes(component)
|
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|
134 |
ncol = dimsizes(col_head2)
|
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|
135 |
|
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|
136 |
; row (not including header row)
|
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|
137 |
row_head = (/"Evergreen Needleleaf Forests" \
|
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|
138 |
,"Evergreen Broadleaf Forests" \
|
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|
139 |
,"Deciduous Needleleaf Forest" \
|
forrest@0
|
140 |
,"Deciduous Broadleaf Forests" \
|
forrest@0
|
141 |
,"Mixed Forests" \
|
forrest@0
|
142 |
,"Closed Bushlands" \
|
forrest@0
|
143 |
,"Open Bushlands" \
|
forrest@0
|
144 |
,"Woody Savannas (S. Hem.)" \
|
forrest@0
|
145 |
,"Savannas (S. Hem.)" \
|
forrest@0
|
146 |
,"Grasslands" \
|
forrest@0
|
147 |
,"Permanent Wetlands" \
|
forrest@0
|
148 |
,"Croplands" \
|
forrest@0
|
149 |
,"Cropland/Natural Vegetation Mosaic" \
|
forrest@0
|
150 |
,"Barren or Sparsely Vegetated" \
|
forrest@0
|
151 |
,"Woody Savannas (N. Hem.)" \
|
forrest@0
|
152 |
,"Savannas (N. Hem.)" \
|
forrest@0
|
153 |
,"All Biome" \
|
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|
154 |
/)
|
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|
155 |
nrow = dimsizes(row_head)
|
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|
156 |
|
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|
157 |
; arrays to be passed to table.
|
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|
158 |
text4 = new ((/nrow, ncol/),string )
|
forrest@0
|
159 |
|
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|
160 |
; M_comp
|
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|
161 |
M_comp = (/"M_lai_mean","M_lai_max","M_lai_phase","M_lai_grow"/)
|
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|
162 |
|
forrest@0
|
163 |
; total M_score
|
forrest@0
|
164 |
M_total = 0.
|
forrest@0
|
165 |
|
forrest@0
|
166 |
;********************************************************************
|
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|
167 |
; use land-type class to bin the data in equally spaced ranges
|
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|
168 |
;********************************************************************
|
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|
169 |
|
forrest@0
|
170 |
nclassn = nclass + 1
|
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|
171 |
range = fspan(0,nclassn-1,nclassn)
|
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|
172 |
; print (range)
|
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|
173 |
|
forrest@0
|
174 |
; Use this range information to grab all the values in a
|
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|
175 |
; particular range, and then take an average.
|
forrest@0
|
176 |
|
forrest@0
|
177 |
nr = dimsizes(range)
|
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|
178 |
nx = nr-1
|
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|
179 |
xvalues = new((/2,nx/),float)
|
forrest@0
|
180 |
xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2.
|
forrest@0
|
181 |
dx = xvalues(0,1) - xvalues(0,0) ; range width
|
forrest@0
|
182 |
dx4 = dx/4 ; 1/4 of the range
|
forrest@0
|
183 |
xvalues(1,:) = xvalues(0,:) - dx/5.
|
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|
184 |
|
forrest@0
|
185 |
;************************************************************************
|
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|
186 |
; go through all components
|
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|
187 |
;************************************************************************
|
forrest@0
|
188 |
|
forrest@0
|
189 |
do n = 0,n_comp-1
|
forrest@0
|
190 |
|
forrest@0
|
191 |
;===================
|
forrest@0
|
192 |
; get data:
|
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|
193 |
;===================
|
forrest@0
|
194 |
; (A) Mean
|
forrest@0
|
195 |
|
forrest@0
|
196 |
if (n .eq. 0) then
|
forrest@0
|
197 |
data_ob = dim_avg_Wrap(laiob (lat|:,lon|:,time|:))
|
forrest@0
|
198 |
data_mod = dim_avg_Wrap(laimod(lat|:,lon|:,time|:))
|
forrest@0
|
199 |
end if
|
forrest@0
|
200 |
|
forrest@0
|
201 |
; (B) Max
|
forrest@0
|
202 |
|
forrest@0
|
203 |
if (n .eq. 1) then
|
forrest@0
|
204 |
|
forrest@0
|
205 |
; observed
|
forrest@0
|
206 |
data_ob = laiob(0,:,:)
|
forrest@0
|
207 |
s = laiob(:,0,0)
|
forrest@0
|
208 |
data_ob@long_name = "Leaf Area Index Max"
|
forrest@0
|
209 |
|
forrest@0
|
210 |
dsizes_z = dimsizes(laiob)
|
forrest@0
|
211 |
nlat = dsizes_z(1)
|
forrest@0
|
212 |
nlon = dsizes_z(2)
|
forrest@0
|
213 |
|
forrest@0
|
214 |
do j = 0,nlat-1
|
forrest@0
|
215 |
do i = 0,nlon-1
|
forrest@0
|
216 |
s = laiob(:,j,i)
|
forrest@0
|
217 |
data_ob(j,i) = max(s)
|
forrest@0
|
218 |
end do
|
forrest@0
|
219 |
end do
|
forrest@0
|
220 |
|
forrest@0
|
221 |
delete (s)
|
forrest@0
|
222 |
delete (dsizes_z)
|
forrest@0
|
223 |
|
forrest@0
|
224 |
; model
|
forrest@0
|
225 |
data_mod = laimod(0,:,:)
|
forrest@0
|
226 |
s = laimod(:,0,0)
|
forrest@0
|
227 |
data_mod@long_name = "Leaf Area Index Max"
|
forrest@0
|
228 |
|
forrest@0
|
229 |
dsizes_z = dimsizes(laimod)
|
forrest@0
|
230 |
nlat = dsizes_z(1)
|
forrest@0
|
231 |
nlon = dsizes_z(2)
|
forrest@0
|
232 |
|
forrest@0
|
233 |
do j = 0,nlat-1
|
forrest@0
|
234 |
do i = 0,nlon-1
|
forrest@0
|
235 |
s = laimod(:,j,i)
|
forrest@0
|
236 |
data_mod(j,i) = max(s)
|
forrest@0
|
237 |
end do
|
forrest@0
|
238 |
end do
|
forrest@0
|
239 |
|
forrest@0
|
240 |
delete (s)
|
forrest@0
|
241 |
delete (dsizes_z)
|
forrest@0
|
242 |
end if
|
forrest@0
|
243 |
|
forrest@0
|
244 |
; (C) phase
|
forrest@0
|
245 |
|
forrest@0
|
246 |
if (n .eq. 2) then
|
forrest@0
|
247 |
|
forrest@0
|
248 |
; observed
|
forrest@0
|
249 |
data_ob = laiob(0,:,:)
|
forrest@0
|
250 |
s = laiob(:,0,0)
|
forrest@0
|
251 |
data_ob@long_name = "Leaf Area Index Max Month"
|
forrest@0
|
252 |
|
forrest@0
|
253 |
dsizes_z = dimsizes(laiob)
|
forrest@0
|
254 |
nlat = dsizes_z(1)
|
forrest@0
|
255 |
nlon = dsizes_z(2)
|
forrest@0
|
256 |
|
forrest@0
|
257 |
do j = 0,nlat-1
|
forrest@0
|
258 |
do i = 0,nlon-1
|
forrest@0
|
259 |
s = laiob(:,j,i)
|
forrest@0
|
260 |
data_ob(j,i) = maxind(s) + 1
|
forrest@0
|
261 |
end do
|
forrest@0
|
262 |
end do
|
forrest@0
|
263 |
|
forrest@0
|
264 |
delete (s)
|
forrest@0
|
265 |
delete (dsizes_z)
|
forrest@0
|
266 |
|
forrest@0
|
267 |
; model
|
forrest@0
|
268 |
data_mod = laimod(0,:,:)
|
forrest@0
|
269 |
s = laimod(:,0,0)
|
forrest@0
|
270 |
data_mod@long_name = "Leaf Area Index Max Month"
|
forrest@0
|
271 |
|
forrest@0
|
272 |
dsizes_z = dimsizes(laimod)
|
forrest@0
|
273 |
nlat = dsizes_z(1)
|
forrest@0
|
274 |
nlon = dsizes_z(2)
|
forrest@0
|
275 |
|
forrest@0
|
276 |
do j = 0,nlat-1
|
forrest@0
|
277 |
do i = 0,nlon-1
|
forrest@0
|
278 |
s = laimod(:,j,i)
|
forrest@0
|
279 |
data_mod(j,i) = maxind(s) + 1
|
forrest@0
|
280 |
end do
|
forrest@0
|
281 |
end do
|
forrest@0
|
282 |
|
forrest@0
|
283 |
delete (s)
|
forrest@0
|
284 |
delete (dsizes_z)
|
forrest@0
|
285 |
end if
|
forrest@0
|
286 |
|
forrest@0
|
287 |
; (D) grow day
|
forrest@0
|
288 |
|
forrest@0
|
289 |
if (n .eq. 3) then
|
forrest@0
|
290 |
|
forrest@0
|
291 |
day_of_data = (/31,28,31,30,31,30,31,31,30,31,30,31/)
|
forrest@0
|
292 |
|
forrest@0
|
293 |
; observed
|
forrest@0
|
294 |
data_ob = laiob(0,:,:)
|
forrest@0
|
295 |
data_ob@long_name = "Days of Growing Season"
|
forrest@0
|
296 |
|
forrest@0
|
297 |
dsizes_z = dimsizes(laiob)
|
forrest@0
|
298 |
ntime = dsizes_z(0)
|
forrest@0
|
299 |
nlat = dsizes_z(1)
|
forrest@0
|
300 |
nlon = dsizes_z(2)
|
forrest@0
|
301 |
|
forrest@0
|
302 |
do j = 0,nlat-1
|
forrest@0
|
303 |
do i = 0,nlon-1
|
forrest@0
|
304 |
nday = 0.
|
forrest@0
|
305 |
do k = 0,ntime-1
|
forrest@0
|
306 |
if (.not. ismissing(laiob(k,j,i)) .and. laiob(k,j,i) .gt. 1.0) then
|
forrest@0
|
307 |
nday = nday + day_of_data(k)
|
forrest@0
|
308 |
end if
|
forrest@0
|
309 |
end do
|
forrest@0
|
310 |
|
forrest@0
|
311 |
data_ob(j,i) = nday
|
forrest@0
|
312 |
end do
|
forrest@0
|
313 |
end do
|
forrest@0
|
314 |
|
forrest@0
|
315 |
delete (dsizes_z)
|
forrest@0
|
316 |
|
forrest@0
|
317 |
; model
|
forrest@0
|
318 |
data_mod = laimod(0,:,:)
|
forrest@0
|
319 |
data_mod@long_name = "Days of Growing Season"
|
forrest@0
|
320 |
|
forrest@0
|
321 |
dsizes_z = dimsizes(laimod)
|
forrest@0
|
322 |
ntime = dsizes_z(0)
|
forrest@0
|
323 |
nlat = dsizes_z(1)
|
forrest@0
|
324 |
nlon = dsizes_z(2)
|
forrest@0
|
325 |
|
forrest@0
|
326 |
do j = 0,nlat-1
|
forrest@0
|
327 |
do i = 0,nlon-1
|
forrest@0
|
328 |
nday = 0.
|
forrest@0
|
329 |
do k = 0,ntime-1
|
forrest@0
|
330 |
if (.not. ismissing(laimod(k,j,i)) .and. laimod(k,j,i) .gt. 1.0) then
|
forrest@0
|
331 |
nday = nday + day_of_data(k)
|
forrest@0
|
332 |
end if
|
forrest@0
|
333 |
end do
|
forrest@0
|
334 |
|
forrest@0
|
335 |
data_mod(j,i) = nday
|
forrest@0
|
336 |
end do
|
forrest@0
|
337 |
end do
|
forrest@0
|
338 |
|
forrest@0
|
339 |
delete (dsizes_z)
|
forrest@0
|
340 |
end if
|
forrest@0
|
341 |
|
forrest@0
|
342 |
;==============================
|
forrest@0
|
343 |
; put data into bins
|
forrest@0
|
344 |
;==============================
|
forrest@0
|
345 |
|
forrest@0
|
346 |
base_1D = ndtooned(classob)
|
forrest@0
|
347 |
data1_1D = ndtooned(data_ob)
|
forrest@0
|
348 |
data2_1D = ndtooned(data_mod)
|
forrest@0
|
349 |
|
forrest@0
|
350 |
; output for data in bins
|
forrest@0
|
351 |
|
forrest@0
|
352 |
yvalues = new((/2,nx/),float)
|
forrest@0
|
353 |
count = new((/2,nx/),float)
|
forrest@0
|
354 |
|
forrest@0
|
355 |
; put data into bins
|
forrest@0
|
356 |
|
forrest@0
|
357 |
do nd=0,1
|
forrest@0
|
358 |
|
forrest@0
|
359 |
; See if we are doing data1 (nd=0) or data2 (nd=1).
|
forrest@0
|
360 |
|
forrest@0
|
361 |
base = base_1D
|
forrest@0
|
362 |
|
forrest@0
|
363 |
if(nd.eq.0) then
|
forrest@0
|
364 |
data = data1_1D
|
forrest@0
|
365 |
else
|
forrest@0
|
366 |
data = data2_1D
|
forrest@0
|
367 |
end if
|
forrest@0
|
368 |
|
forrest@0
|
369 |
; Loop through each range, using base.
|
forrest@0
|
370 |
|
forrest@0
|
371 |
do i=0,nr-2
|
forrest@0
|
372 |
if (i.ne.(nr-2)) then
|
forrest@0
|
373 |
; print("")
|
forrest@0
|
374 |
; print("In range ["+range(i)+","+range(i+1)+")")
|
forrest@0
|
375 |
idx = ind((base.ge.range(i)).and.(base.lt.range(i+1)))
|
forrest@0
|
376 |
else
|
forrest@0
|
377 |
; print("")
|
forrest@0
|
378 |
; print("In range ["+range(i)+",)")
|
forrest@0
|
379 |
idx = ind(base.ge.range(i))
|
forrest@0
|
380 |
end if
|
forrest@0
|
381 |
|
forrest@0
|
382 |
; Calculate average
|
forrest@0
|
383 |
|
forrest@0
|
384 |
if(.not.any(ismissing(idx))) then
|
forrest@0
|
385 |
yvalues(nd,i) = avg(data(idx))
|
forrest@0
|
386 |
count(nd,i) = dimsizes(idx)
|
forrest@0
|
387 |
else
|
forrest@0
|
388 |
yvalues(nd,i) = yvalues@_FillValue
|
forrest@0
|
389 |
count(nd,i) = 0
|
forrest@0
|
390 |
end if
|
forrest@0
|
391 |
|
forrest@0
|
392 |
;#############################################################
|
forrest@0
|
393 |
; set the following 4 classes to _FillValue:
|
forrest@0
|
394 |
; Water Bodies(0), Urban and Build-Up(13),
|
forrest@0
|
395 |
; Permenant Snow and Ice(15), Unclassified(17)
|
forrest@0
|
396 |
|
forrest@0
|
397 |
if (i.eq.0 .or. i.eq.13 .or. i.eq.15 .or. i.eq.17) then
|
forrest@0
|
398 |
yvalues(nd,i) = yvalues@_FillValue
|
forrest@0
|
399 |
count(nd,i) = 0
|
forrest@0
|
400 |
end if
|
forrest@0
|
401 |
;#############################################################
|
forrest@0
|
402 |
|
forrest@0
|
403 |
; print(nd + ": " + count(nd,i) + " points, avg = " + yvalues(nd,i))
|
forrest@0
|
404 |
|
forrest@0
|
405 |
; Clean up for next time in loop.
|
forrest@0
|
406 |
|
forrest@0
|
407 |
delete(idx)
|
forrest@0
|
408 |
end do
|
forrest@0
|
409 |
|
forrest@0
|
410 |
delete(data)
|
forrest@0
|
411 |
end do
|
forrest@0
|
412 |
|
forrest@0
|
413 |
delete (base)
|
forrest@0
|
414 |
delete (base_1D)
|
forrest@0
|
415 |
delete (data1_1D)
|
forrest@0
|
416 |
delete (data2_1D)
|
forrest@0
|
417 |
|
forrest@0
|
418 |
;=====================================
|
forrest@0
|
419 |
; compute correlation coef and M score
|
forrest@0
|
420 |
;=====================================
|
forrest@0
|
421 |
|
forrest@0
|
422 |
u = yvalues(0,:)
|
forrest@0
|
423 |
v = yvalues(1,:)
|
forrest@0
|
424 |
|
forrest@0
|
425 |
good = ind(.not.ismissing(u) .and. .not.ismissing(v))
|
forrest@0
|
426 |
uu = u(good)
|
forrest@0
|
427 |
vv = v(good)
|
forrest@0
|
428 |
|
forrest@0
|
429 |
; compute correlation coef
|
forrest@0
|
430 |
cc = esccr(uu,vv,0)
|
forrest@0
|
431 |
|
forrest@0
|
432 |
if (n .eq. 2) then
|
forrest@0
|
433 |
bias = avg(abs(vv-uu))
|
forrest@0
|
434 |
bias = where((bias.gt. 6.),12.-bias,bias)
|
forrest@0
|
435 |
Mscore = ((6. - bias)/6.)*5.
|
forrest@0
|
436 |
M_score = sprintf("%.2f", Mscore)
|
forrest@0
|
437 |
else
|
forrest@0
|
438 |
bias = sum(abs(vv-uu)/abs(vv+uu))
|
forrest@0
|
439 |
Mscore = (1.- (bias/dimsizes(uu)))*5.
|
forrest@0
|
440 |
M_score = sprintf("%.2f", Mscore)
|
forrest@0
|
441 |
end if
|
forrest@0
|
442 |
|
forrest@0
|
443 |
; compute M_total
|
forrest@0
|
444 |
|
forrest@0
|
445 |
M_total = M_total + Mscore
|
forrest@0
|
446 |
|
forrest@0
|
447 |
;==================
|
forrest@0
|
448 |
; output M_score
|
forrest@0
|
449 |
;==================
|
forrest@0
|
450 |
|
forrest@0
|
451 |
print (Mscore)
|
forrest@0
|
452 |
;=======================
|
forrest@0
|
453 |
; output to html table
|
forrest@0
|
454 |
;=======================
|
forrest@0
|
455 |
|
forrest@0
|
456 |
nn = n*3
|
forrest@0
|
457 |
|
forrest@0
|
458 |
do i=0,nrow-2
|
forrest@0
|
459 |
text4(i,nn) = sprintf("%.2f",u(i))
|
forrest@0
|
460 |
text4(i,nn+1) = sprintf("%.2f",v(i))
|
forrest@0
|
461 |
text4(i,nn+2) = "-"
|
forrest@0
|
462 |
end do
|
forrest@0
|
463 |
text4(nrow-1,nn) = sprintf("%.2f",avg(u))
|
forrest@0
|
464 |
text4(nrow-1,nn+1) = sprintf("%.2f",avg(v))
|
forrest@0
|
465 |
text4(nrow-1,nn+2) = M_score
|
forrest@0
|
466 |
|
forrest@0
|
467 |
delete (u)
|
forrest@0
|
468 |
delete (v)
|
forrest@0
|
469 |
delete (uu)
|
forrest@0
|
470 |
delete (vv)
|
forrest@0
|
471 |
delete (yvalues)
|
forrest@0
|
472 |
delete (good)
|
forrest@0
|
473 |
|
forrest@0
|
474 |
;========================================
|
forrest@0
|
475 |
; global res changes for each component
|
forrest@0
|
476 |
;========================================
|
forrest@0
|
477 |
delta = 0.00001
|
forrest@0
|
478 |
|
forrest@0
|
479 |
if (n .eq. 0) then
|
forrest@0
|
480 |
resg@cnMinLevelValF = 0.
|
forrest@0
|
481 |
resg@cnMaxLevelValF = 10.
|
forrest@0
|
482 |
resg@cnLevelSpacingF = 1.
|
forrest@0
|
483 |
|
forrest@0
|
484 |
data_ob = where(ismissing(data_ob).and.(ismissing(data_mod).or.(data_mod.lt.delta)),0.,data_ob)
|
forrest@0
|
485 |
end if
|
forrest@0
|
486 |
|
forrest@0
|
487 |
if (n .eq. 1) then
|
forrest@0
|
488 |
resg@cnMinLevelValF = 0.
|
forrest@0
|
489 |
resg@cnMaxLevelValF = 10.
|
forrest@0
|
490 |
resg@cnLevelSpacingF = 1.
|
forrest@0
|
491 |
|
forrest@0
|
492 |
data_ob = where(ismissing(data_ob).and.(ismissing(data_mod).or.(data_mod.lt.delta)),0.,data_ob)
|
forrest@0
|
493 |
end if
|
forrest@0
|
494 |
|
forrest@0
|
495 |
if (n .eq. 2) then
|
forrest@0
|
496 |
resg@cnMinLevelValF = 1.
|
forrest@0
|
497 |
resg@cnMaxLevelValF = 12.
|
forrest@0
|
498 |
resg@cnLevelSpacingF = 1.
|
forrest@0
|
499 |
|
forrest@0
|
500 |
data_ob = where(ismissing(data_ob).and.(ismissing(data_mod).or.(data_mod.lt.delta)),0.,data_ob)
|
forrest@0
|
501 |
end if
|
forrest@0
|
502 |
|
forrest@0
|
503 |
if (n .eq. 3) then
|
forrest@0
|
504 |
resg@cnMinLevelValF = 60.
|
forrest@0
|
505 |
resg@cnMaxLevelValF = 360.
|
forrest@0
|
506 |
resg@cnLevelSpacingF = 20.
|
forrest@0
|
507 |
|
forrest@0
|
508 |
data_ob@_FillValue = 1.e+36
|
forrest@0
|
509 |
data_ob = where(data_ob .lt. 10.,data_ob@_FillValue,data_ob)
|
forrest@0
|
510 |
|
forrest@0
|
511 |
data_mod@_FillValue = 1.e+36
|
forrest@0
|
512 |
data_mod = where(data_mod .lt. 10.,data_mod@_FillValue,data_mod)
|
forrest@0
|
513 |
end if
|
forrest@0
|
514 |
|
forrest@0
|
515 |
;=========================
|
forrest@0
|
516 |
; global contour : ob
|
forrest@0
|
517 |
;=========================
|
forrest@0
|
518 |
|
forrest@0
|
519 |
plot_name = "global_"+component(n)+"_ob"
|
forrest@0
|
520 |
title = ob_name
|
forrest@0
|
521 |
resg@tiMainString = title
|
forrest@0
|
522 |
|
forrest@0
|
523 |
wks = gsn_open_wks (plot_type,plot_name) ; open workstation
|
forrest@0
|
524 |
gsn_define_colormap(wks,"gui_default") ; choose colormap
|
forrest@0
|
525 |
|
forrest@0
|
526 |
plot = gsn_csm_contour_map_ce(wks,data_ob,resg)
|
forrest@0
|
527 |
frame(wks)
|
forrest@0
|
528 |
|
forrest@0
|
529 |
clear (wks)
|
forrest@0
|
530 |
delete (plot)
|
forrest@0
|
531 |
|
forrest@0
|
532 |
;============================
|
forrest@0
|
533 |
; global contour : model
|
forrest@0
|
534 |
;============================
|
forrest@0
|
535 |
|
forrest@0
|
536 |
plot_name = "global_"+component(n)+"_model"
|
forrest@0
|
537 |
title = "Model " + model_name
|
forrest@0
|
538 |
resg@tiMainString = title
|
forrest@0
|
539 |
|
forrest@0
|
540 |
wks = gsn_open_wks (plot_type,plot_name)
|
forrest@0
|
541 |
gsn_define_colormap(wks,"gui_default")
|
forrest@0
|
542 |
|
forrest@0
|
543 |
plot = gsn_csm_contour_map_ce(wks,data_mod,resg)
|
forrest@0
|
544 |
frame(wks)
|
forrest@0
|
545 |
|
forrest@0
|
546 |
clear (wks)
|
forrest@0
|
547 |
delete (plot)
|
forrest@0
|
548 |
|
forrest@0
|
549 |
;================================
|
forrest@0
|
550 |
; global contour: model vs ob
|
forrest@0
|
551 |
;================================
|
forrest@0
|
552 |
|
forrest@0
|
553 |
plot_name = "global_"+component(n)+"_model_vs_ob"
|
forrest@0
|
554 |
|
forrest@0
|
555 |
wks = gsn_open_wks (plot_type,plot_name)
|
forrest@0
|
556 |
gsn_define_colormap(wks,"gui_default")
|
forrest@0
|
557 |
|
forrest@0
|
558 |
plot=new(3,graphic) ; create graphic array
|
forrest@0
|
559 |
|
forrest@0
|
560 |
resg@gsnFrame = False ; Do not draw plot
|
forrest@0
|
561 |
resg@gsnDraw = False ; Do not advance frame
|
forrest@0
|
562 |
|
forrest@0
|
563 |
; plot correlation coef
|
forrest@0
|
564 |
|
forrest@0
|
565 |
gRes = True
|
forrest@0
|
566 |
gRes@txFontHeightF = 0.02
|
forrest@0
|
567 |
gRes@txAngleF = 90
|
forrest@0
|
568 |
|
forrest@0
|
569 |
correlation_text = "(correlation coef = "+sprintf("%.2f", cc)+")"
|
forrest@0
|
570 |
|
forrest@0
|
571 |
gsn_text_ndc(wks,correlation_text,0.20,0.50,gRes)
|
forrest@0
|
572 |
|
forrest@0
|
573 |
; plot ob
|
forrest@0
|
574 |
|
forrest@0
|
575 |
title = ob_name
|
forrest@0
|
576 |
resg@tiMainString = title
|
forrest@0
|
577 |
|
forrest@0
|
578 |
plot(0) = gsn_csm_contour_map_ce(wks,data_ob,resg)
|
forrest@0
|
579 |
|
forrest@0
|
580 |
; plot model
|
forrest@0
|
581 |
|
forrest@0
|
582 |
title = "Model "+ model_name
|
forrest@0
|
583 |
resg@tiMainString = title
|
forrest@0
|
584 |
|
forrest@0
|
585 |
plot(1) = gsn_csm_contour_map_ce(wks,data_mod,resg)
|
forrest@0
|
586 |
|
forrest@0
|
587 |
; plot model-ob
|
forrest@0
|
588 |
|
forrest@0
|
589 |
if (n .eq. 0) then
|
forrest@0
|
590 |
resg@cnMinLevelValF = -2.
|
forrest@0
|
591 |
resg@cnMaxLevelValF = 2.
|
forrest@0
|
592 |
resg@cnLevelSpacingF = 0.4
|
forrest@0
|
593 |
end if
|
forrest@0
|
594 |
|
forrest@0
|
595 |
if (n .eq. 1) then
|
forrest@0
|
596 |
resg@cnMinLevelValF = -6.
|
forrest@0
|
597 |
resg@cnMaxLevelValF = 6.
|
forrest@0
|
598 |
resg@cnLevelSpacingF = 1.
|
forrest@0
|
599 |
end if
|
forrest@0
|
600 |
|
forrest@0
|
601 |
if (n .eq. 2) then
|
forrest@0
|
602 |
resg@cnMinLevelValF = -6.
|
forrest@0
|
603 |
resg@cnMaxLevelValF = 6.
|
forrest@0
|
604 |
resg@cnLevelSpacingF = 1.
|
forrest@0
|
605 |
end if
|
forrest@0
|
606 |
|
forrest@0
|
607 |
if (n .eq. 3) then
|
forrest@0
|
608 |
resg@cnMinLevelValF = -100.
|
forrest@0
|
609 |
resg@cnMaxLevelValF = 100.
|
forrest@0
|
610 |
resg@cnLevelSpacingF = 20.
|
forrest@0
|
611 |
end if
|
forrest@0
|
612 |
|
forrest@0
|
613 |
zz = data_mod
|
forrest@0
|
614 |
zz = data_mod - data_ob
|
forrest@0
|
615 |
title = "Model_"+model_name+" - Observed"
|
forrest@0
|
616 |
resg@tiMainString = title
|
forrest@0
|
617 |
|
forrest@0
|
618 |
plot(2) = gsn_csm_contour_map_ce(wks,zz,resg)
|
forrest@0
|
619 |
|
forrest@0
|
620 |
; plot panel
|
forrest@0
|
621 |
|
forrest@0
|
622 |
pres = True ; panel plot mods desired
|
forrest@0
|
623 |
pres@gsnMaximize = True ; fill the page
|
forrest@0
|
624 |
|
forrest@0
|
625 |
gsn_panel(wks,plot,(/3,1/),pres) ; create panel plot
|
forrest@0
|
626 |
|
forrest@0
|
627 |
clear (wks)
|
forrest@0
|
628 |
delete (plot)
|
forrest@0
|
629 |
|
forrest@0
|
630 |
end do
|
forrest@0
|
631 |
;**************************************************
|
forrest@0
|
632 |
; html table
|
forrest@0
|
633 |
;**************************************************
|
forrest@0
|
634 |
output_html = "table_model_vs_ob.html"
|
forrest@0
|
635 |
|
forrest@0
|
636 |
header_text = "<H1>LAI: Model "+model_name+" vs Observed</H1>"
|
forrest@0
|
637 |
|
forrest@0
|
638 |
header = (/"<HTML>" \
|
forrest@0
|
639 |
,"<HEAD>" \
|
forrest@0
|
640 |
,"<TITLE>CLAMP metrics</TITLE>" \
|
forrest@0
|
641 |
,"</HEAD>" \
|
forrest@0
|
642 |
,header_text \
|
forrest@0
|
643 |
/)
|
forrest@0
|
644 |
footer = "</HTML>"
|
forrest@0
|
645 |
|
forrest@0
|
646 |
table_header = (/ \
|
forrest@0
|
647 |
"<table border=1 cellspacing=0 cellpadding=3 width=100%>" \
|
forrest@0
|
648 |
,"<tr>" \
|
forrest@0
|
649 |
," <th bgcolor=DDDDDD rowspan=2>Biome Class</th>" \
|
forrest@0
|
650 |
," <th bgcolor=DDDDDD colspan=3>"+component(0)+"</th>" \
|
forrest@0
|
651 |
," <th bgcolor=DDDDDD colspan=3>"+component(1)+"</th>" \
|
forrest@0
|
652 |
," <th bgcolor=DDDDDD colspan=3>"+component(2)+"</th>" \
|
forrest@0
|
653 |
," <th bgcolor=DDDDDD colspan=3>"+component(3)+"</th>" \
|
forrest@0
|
654 |
,"</tr>" \
|
forrest@0
|
655 |
,"<tr>" \
|
forrest@0
|
656 |
," <th bgcolor=DDDDDD >observed</th>" \
|
forrest@0
|
657 |
," <th bgcolor=DDDDDD >"+model_name+"</th>" \
|
forrest@0
|
658 |
," <th bgcolor=DDDDDD >M_score</th>" \
|
forrest@0
|
659 |
," <th bgcolor=DDDDDD >observed</th>" \
|
forrest@0
|
660 |
," <th bgcolor=DDDDDD >"+model_name+"</th>" \
|
forrest@0
|
661 |
," <th bgcolor=DDDDDD >M_score</th>" \
|
forrest@0
|
662 |
," <th bgcolor=DDDDDD >observed</th>" \
|
forrest@0
|
663 |
," <th bgcolor=DDDDDD >"+model_name+"</th>" \
|
forrest@0
|
664 |
," <th bgcolor=DDDDDD >M_score</th>" \
|
forrest@0
|
665 |
," <th bgcolor=DDDDDD >observed</th>" \
|
forrest@0
|
666 |
," <th bgcolor=DDDDDD >"+model_name+"</th>" \
|
forrest@0
|
667 |
," <th bgcolor=DDDDDD >M_score</th>" \
|
forrest@0
|
668 |
,"</tr>" \
|
forrest@0
|
669 |
/)
|
forrest@0
|
670 |
table_footer = "</table>"
|
forrest@0
|
671 |
row_header = "<tr>"
|
forrest@0
|
672 |
row_footer = "</tr>"
|
forrest@0
|
673 |
|
forrest@0
|
674 |
lines = new(50000,string)
|
forrest@0
|
675 |
nline = 0
|
forrest@0
|
676 |
|
forrest@0
|
677 |
set_line(lines,nline,header)
|
forrest@0
|
678 |
set_line(lines,nline,table_header)
|
forrest@0
|
679 |
;-----------------------------------------------
|
forrest@0
|
680 |
;row of table
|
forrest@0
|
681 |
|
forrest@0
|
682 |
do n = 0,nrow-1
|
forrest@0
|
683 |
set_line(lines,nline,row_header)
|
forrest@0
|
684 |
|
forrest@0
|
685 |
txt1 = row_head(n)
|
forrest@0
|
686 |
txt2 = text4(n,0)
|
forrest@0
|
687 |
txt3 = text4(n,1)
|
forrest@0
|
688 |
txt4 = text4(n,2)
|
forrest@0
|
689 |
txt5 = text4(n,3)
|
forrest@0
|
690 |
txt6 = text4(n,4)
|
forrest@0
|
691 |
txt7 = text4(n,5)
|
forrest@0
|
692 |
txt8 = text4(n,6)
|
forrest@0
|
693 |
txt9 = text4(n,7)
|
forrest@0
|
694 |
txt10 = text4(n,8)
|
forrest@0
|
695 |
txt11 = text4(n,9)
|
forrest@0
|
696 |
txt12 = text4(n,10)
|
forrest@0
|
697 |
txt13 = text4(n,11)
|
forrest@0
|
698 |
|
forrest@0
|
699 |
set_line(lines,nline,"<th>"+txt1+"</th>")
|
forrest@0
|
700 |
set_line(lines,nline,"<th>"+txt2+"</th>")
|
forrest@0
|
701 |
set_line(lines,nline,"<th>"+txt3+"</th>")
|
forrest@0
|
702 |
set_line(lines,nline,"<th>"+txt4+"</th>")
|
forrest@0
|
703 |
set_line(lines,nline,"<th>"+txt5+"</th>")
|
forrest@0
|
704 |
set_line(lines,nline,"<th>"+txt6+"</th>")
|
forrest@0
|
705 |
set_line(lines,nline,"<th>"+txt7+"</th>")
|
forrest@0
|
706 |
set_line(lines,nline,"<th>"+txt8+"</th>")
|
forrest@0
|
707 |
set_line(lines,nline,"<th>"+txt9+"</th>")
|
forrest@0
|
708 |
set_line(lines,nline,"<th>"+txt10+"</th>")
|
forrest@0
|
709 |
set_line(lines,nline,"<th>"+txt11+"</th>")
|
forrest@0
|
710 |
set_line(lines,nline,"<th>"+txt12+"</th>")
|
forrest@0
|
711 |
set_line(lines,nline,"<th>"+txt13+"</th>")
|
forrest@0
|
712 |
|
forrest@0
|
713 |
set_line(lines,nline,row_footer)
|
forrest@0
|
714 |
end do
|
forrest@0
|
715 |
;-----------------------------------------------
|
forrest@0
|
716 |
set_line(lines,nline,table_footer)
|
forrest@0
|
717 |
set_line(lines,nline,footer)
|
forrest@0
|
718 |
|
forrest@0
|
719 |
; Now write to an HTML file.
|
forrest@0
|
720 |
idx = ind(.not.ismissing(lines))
|
forrest@0
|
721 |
if(.not.any(ismissing(idx))) then
|
forrest@0
|
722 |
asciiwrite(output_html,lines(idx))
|
forrest@0
|
723 |
else
|
forrest@0
|
724 |
print ("error?")
|
forrest@0
|
725 |
end if
|
forrest@0
|
726 |
|
forrest@0
|
727 |
;***************************************************************************
|
forrest@0
|
728 |
; write total score to file
|
forrest@0
|
729 |
;***************************************************************************
|
forrest@0
|
730 |
|
forrest@0
|
731 |
asciiwrite("M_save.lai", M_total)
|
forrest@0
|
732 |
|
forrest@0
|
733 |
;***************************************************************************
|
forrest@0
|
734 |
end
|
forrest@0
|
735 |
|