1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/turnover/01.biome.ncl Mon Jan 26 22:08:20 2009 -0500
1.3 @@ -0,0 +1,294 @@
1.4 +;********************************************************
1.5 +; required command line input parameters:
1.6 +; ncl 'model_name="10cn" model_grid="T42" dirm="/.../ film="..."' 01.npp.ncl
1.7 +;
1.8 +; histogram normalized by rain and compute correleration
1.9 +;**************************************************************
1.10 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl.test"
1.11 +load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl.test"
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 +; Main code.
1.30 +begin
1.31 +
1.32 + plot_type = "ps"
1.33 + plot_type_new = "png"
1.34 +
1.35 +;************************************************
1.36 +; read data: model
1.37 +;************************************************
1.38 +
1.39 + model_grid = "T42"
1.40 +
1.41 + model_name = "i01.06cn"
1.42 +;model_name = "i01.06casa"
1.43 +
1.44 + dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/"
1.45 + film = model_name + "_1980-2004_ANN_climo.nc"
1.46 +
1.47 + fm = addfile (dirm+film,"r")
1.48 +
1.49 + xm = fm->lon
1.50 + ym = fm->lat
1.51 +
1.52 + pool = fm->WOODC
1.53 + flux = fm->WOODC_ALLOC
1.54 +
1.55 +;Units for these variables are:
1.56 +;pool: g C/m^2
1.57 +;flux: g C/m^2/s
1.58 +
1.59 + nsec_per_year = 60*60*24*365
1.60 +
1.61 + flux = flux * nsec_per_year
1.62 +
1.63 +;************************************************
1.64 +; read data: observed-biome
1.65 +;************************************************
1.66 +
1.67 + ob_name = "MODIS MOD 15A2 2000-2005"
1.68 +
1.69 + diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/"
1.70 + filo = "land_class_"+model_grid+".nc"
1.71 +
1.72 + fo = addfile(diro+filo,"r")
1.73 +
1.74 + classob = tofloat(fo->LAND_CLASS)
1.75 +
1.76 + nclass = 20
1.77 +
1.78 +;*******************************************************************
1.79 +; Calculate "nice" bins for binning the data in equally spaced ranges
1.80 +;********************************************************************
1.81 +
1.82 + nclassn = nclass + 1
1.83 + range = fspan(0,nclassn-1,nclassn)
1.84 +; print (range)
1.85 +
1.86 +; Use this range information to grab all the values in a
1.87 +; particular range, and then take an average.
1.88 +
1.89 + nr = dimsizes(range)
1.90 + nx = nr-1
1.91 + xvalues = new((/2,nx/),float)
1.92 + xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2.
1.93 + dx = xvalues(0,1) - xvalues(0,0) ; range width
1.94 + dx4 = dx/4 ; 1/4 of the range
1.95 + xvalues(1,:) = xvalues(0,:) - dx/5.
1.96 +
1.97 +; get data
1.98 +
1.99 + base_1D = ndtooned(classob)
1.100 + data1_1D = ndtooned(pool)
1.101 + data2_1D = ndtooned(flux)
1.102 +
1.103 +; output
1.104 +
1.105 + yvalues = new((/2,nx/),float)
1.106 +
1.107 + do nd=0,1
1.108 +
1.109 +; See if we are doing data1 (nd=0) or data2 (nd=1).
1.110 +
1.111 + base = base_1D
1.112 +
1.113 + if(nd.eq.0) then
1.114 + data = data1_1D
1.115 + else
1.116 + data = data2_1D
1.117 + end if
1.118 +
1.119 +; Loop through each range, using base.
1.120 +
1.121 + do i=0,nr-2
1.122 + if (i.ne.(nr-2)) then
1.123 +; print("")
1.124 +; print("In range ["+range(i)+","+range(i+1)+")")
1.125 + idx = ind((base.ge.range(i)).and.(base.lt.range(i+1)))
1.126 + else
1.127 +; print("")
1.128 +; print("In range ["+range(i)+",)")
1.129 + idx = ind(base.ge.range(i))
1.130 + end if
1.131 +
1.132 +; Calculate average
1.133 +
1.134 + if(.not.any(ismissing(idx))) then
1.135 + yvalues(nd,i) = avg(data(idx))
1.136 + count = dimsizes(idx)
1.137 + else
1.138 + yvalues(nd,i) = yvalues@_FillValue
1.139 + count = 0
1.140 + end if
1.141 +
1.142 +;#############################################################
1.143 +; set the following 4 classes to _FillValue:
1.144 +; Water Bodies(0), Urban and Build-Up(13),
1.145 +; Permenant Snow and Ice(15), Unclassified(17)
1.146 +
1.147 + if (i.eq.0 .or. i.eq.13 .or. i.eq.15 .or. i.eq.17) then
1.148 + yvalues(nd,i) = yvalues@_FillValue
1.149 + count = 0
1.150 + end if
1.151 +;#############################################################
1.152 +
1.153 +; print(nd + ": " + count + " points, avg = " + yvalues(nd,i))
1.154 +
1.155 +; Clean up for next time in loop.
1.156 +
1.157 + delete(idx)
1.158 + end do
1.159 +
1.160 + delete(data)
1.161 + end do
1.162 +
1.163 +;============================
1.164 +;compute turnover time
1.165 +;============================
1.166 +
1.167 + u = yvalues(0,:)
1.168 + v = yvalues(1,:)
1.169 +
1.170 + good = ind(.not.ismissing(u) .and. .not.ismissing(v))
1.171 +
1.172 + uu = u(good)
1.173 + vv = v(good)
1.174 +
1.175 + n_biome = dimsizes(uu)
1.176 +
1.177 + t_biome = new((/n_biome/),float)
1.178 +
1.179 + t_biome = uu/vv
1.180 +
1.181 + t_biome_avg = avg(t_biome)
1.182 +
1.183 +;print (t_biome)
1.184 +;print (t_biome_avg)
1.185 +
1.186 +;===========================
1.187 +; for html table - biome
1.188 +;===========================
1.189 +
1.190 + output_html = "table_biome.html"
1.191 +
1.192 +; column (not including header column)
1.193 +
1.194 + col_head = (/"WOOD Flux","WOOD Pool","WOOD Turnover Time"/)
1.195 +
1.196 + ncol = dimsizes(col_head)
1.197 +
1.198 +; row (not including header row)
1.199 +; 4 classes removed: Water Bodies, Urban and Build-Up,
1.200 +; Unclassified, Permanent Snow and Ice
1.201 +
1.202 + row_head = (/"Evergreen Needleleaf Forests" \
1.203 + ,"Evergreen Broadleaf Forests" \
1.204 + ,"Deciduous Needleleaf Forest" \
1.205 + ,"Deciduous Broadleaf Forests" \
1.206 + ,"Mixed Forests" \
1.207 + ,"Closed Bushlands" \
1.208 + ,"Open Bushlands" \
1.209 + ,"Woody Savannas (S. Hem.)" \
1.210 + ,"Savannas (S. Hem.)" \
1.211 + ,"Grasslands" \
1.212 + ,"Permanent Wetlands" \
1.213 + ,"Croplands" \
1.214 + ,"Cropland/Natural Vegetation Mosaic" \
1.215 + ,"Barren or Sparsely Vegetated" \
1.216 + ,"Woody Savannas (N. Hem.)" \
1.217 + ,"Savannas (N. Hem.)" \
1.218 + ,"All Biome" \
1.219 + /)
1.220 + nrow = dimsizes(row_head)
1.221 +
1.222 +; arrays to be passed to table.
1.223 + text4 = new ((/nrow, ncol/),string )
1.224 +
1.225 + do i=0,nrow-2
1.226 + text4(i,0) = sprintf("%.1f",vv(i))
1.227 + text4(i,1) = sprintf("%.1f",uu(i))
1.228 + text4(i,2) = sprintf("%.1f",t_biome(i))
1.229 + end do
1.230 + text4(nrow-1,0) = "-"
1.231 + text4(nrow-1,1) = "-"
1.232 + text4(nrow-1,2) = sprintf("%.1f",t_biome_avg)
1.233 +
1.234 +;**************************************************
1.235 +; html table
1.236 +;**************************************************
1.237 +
1.238 + header_text = "<H1>WOOD Turnover Time: Model "+model_name+"</H1>"
1.239 +
1.240 + header = (/"<HTML>" \
1.241 + ,"<HEAD>" \
1.242 + ,"<TITLE>CLAMP metrics</TITLE>" \
1.243 + ,"</HEAD>" \
1.244 + ,header_text \
1.245 + /)
1.246 + footer = "</HTML>"
1.247 +
1.248 + table_header = (/ \
1.249 + "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \
1.250 + ,"<tr>" \
1.251 + ," <th bgcolor=DDDDDD >Biome Class</th>" \
1.252 + ," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \
1.253 + ," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \
1.254 + ," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \
1.255 + ,"</tr>" \
1.256 + /)
1.257 + table_footer = "</table>"
1.258 + row_header = "<tr>"
1.259 + row_footer = "</tr>"
1.260 +
1.261 + lines = new(50000,string)
1.262 + nline = 0
1.263 +
1.264 + set_line(lines,nline,header)
1.265 + set_line(lines,nline,table_header)
1.266 +;-----------------------------------------------
1.267 +;row of table
1.268 +
1.269 + do n = 0,nrow-1
1.270 + set_line(lines,nline,row_header)
1.271 +
1.272 + txt1 = row_head(n)
1.273 + txt2 = text4(n,0)
1.274 + txt3 = text4(n,1)
1.275 + txt4 = text4(n,2)
1.276 +
1.277 + set_line(lines,nline,"<th>"+txt1+"</th>")
1.278 + set_line(lines,nline,"<th>"+txt2+"</th>")
1.279 + set_line(lines,nline,"<th>"+txt3+"</th>")
1.280 + set_line(lines,nline,"<th>"+txt4+"</th>")
1.281 +
1.282 + set_line(lines,nline,row_footer)
1.283 + end do
1.284 +;-----------------------------------------------
1.285 + set_line(lines,nline,table_footer)
1.286 + set_line(lines,nline,footer)
1.287 +
1.288 +; Now write to an HTML file.
1.289 + idx = ind(.not.ismissing(lines))
1.290 + if(.not.any(ismissing(idx))) then
1.291 + asciiwrite(output_html,lines(idx))
1.292 + else
1.293 + print ("error?")
1.294 + end if
1.295 +
1.296 +end
1.297 +