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1 ;************************************************************ |
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2 ; add table |
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3 ; add time series plot |
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4 ; sort by latitude in decending order (N->S) |
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5 ; find year_ob >= 4 |
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6 ; add year_ob_i and year_ob_f |
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7 ; change long_name |
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8 ;************************************************************ |
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9 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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10 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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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 begin |
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29 |
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30 plot_type = "ps" |
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31 plot_type_new = "png" |
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32 |
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33 ;************************************************ |
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34 ; model data info |
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35 ;************************************************ |
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36 model = "cn" |
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37 ; model = "casa" |
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38 |
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39 model_name = "i01.10" + model |
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40 |
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41 ENERGY ="new" |
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42 |
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43 ;************************************************ |
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44 ; observed data info |
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45 ;************************************************ |
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46 |
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47 station = (/"ARM_Oklahoma" \ |
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48 ,"ARM_Oklahoma_burn" \ |
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49 ,"ARM_Oklahoma_control" \ |
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50 ,"Atqasuk" \ |
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51 ,"Audubon" \ |
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52 ,"AustinCary" \ |
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53 ,"Bartlett" \ |
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54 ,"Bondville" \ |
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55 ,"Brookings" \ |
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56 ,"Donaldson" \ |
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57 ,"Duke_Forest_Hardwoods" \ |
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58 ,"Duke_Forest_Open_Field" \ |
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59 ,"Duke_Forest_Pine" \ |
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60 ,"Fermi_Ag" \ |
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61 ,"Fermi_Prairie" \ |
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62 ,"Flagstaff_Managed" \ |
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63 ,"Flagstaff_Unmanaged" \ |
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64 ,"Flagstaff_Wildfire" \ |
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65 ,"FortPeck" \ |
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66 ,"FreemanRanch_mesquite" \ |
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67 ,"Goodwin_Creek" \ |
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68 ,"HarvardForest" \ |
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69 ,"HarvardForestHemlock" \ |
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70 ,"HowlandForestMain" \ |
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71 ,"HowlandForestWest" \ |
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72 ,"Ivotuk" \ |
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73 ,"KendallGrasslands" \ |
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74 ,"KennedySpaceCenterPine" \ |
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75 ,"KennedySpaceCenterScrub" \ |
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76 ,"LittleProspect" \ |
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77 ,"LostCreek" \ |
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78 ,"Mead-irrigated" \ |
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79 ,"Mead-irrigated-rotation" \ |
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80 ,"Mead-rainfed" \ |
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81 ,"Metolius_2nd_YoungPonderosaPine" \ |
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82 ,"MetoliusEyerly" \ |
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83 ,"MetoliusIntermediatePine" \ |
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84 ,"MetoliusOldPonderosaPine" \ |
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85 ,"MissouriOzark" \ |
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86 ,"Mize" \ |
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87 ,"MorganMonroe" \ |
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88 ,"NiwotRidge" \ |
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89 ,"NorthCarolina_cc" \ |
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90 ,"NorthCarolina_lp" \ |
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91 ,"ParkFalls" \ |
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92 ,"Rayonier" \ |
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93 ,"SantaRita" \ |
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94 ,"SkyOaks_Old" \ |
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95 ,"SkyOaks_PostFire" \ |
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96 ,"SkyOaks_Young" \ |
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97 ,"SylvaniaWilderness" \ |
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98 ,"Toledo" \ |
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99 ,"Tonzi" \ |
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100 ,"UCI_1850" \ |
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101 ,"UCI_1930" \ |
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102 ,"UCI_1964" \ |
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103 ,"UCI_1964wet" \ |
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104 ,"UCI_1981" \ |
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105 ,"UCI_1989" \ |
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106 ,"UCI_1998" \ |
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107 ,"UMBS" \ |
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108 ,"Vaira" \ |
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109 ,"WalkerBranch" \ |
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110 ,"WillowCreek" \ |
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111 ,"WindRiver" \ |
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112 ,"Wisconsin_ihw" \ |
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113 ,"Wisconsin_irp" \ |
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114 ,"Wisconsin_mrp" \ |
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115 ,"Wisconsin_myjp" \ |
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116 ,"Wisconsin_pb" \ |
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117 ,"Wisconsin_rpcc" \ |
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118 ,"Wisconsin_yhw" \ |
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119 ,"Wisconsin_yjp" \ |
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120 ,"Wisconsin_yrp" \ |
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121 /) |
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122 |
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123 year_ob = (/"2003-2006" \ |
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124 ,"2005-2006" \ |
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125 ,"2005-2006" \ |
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126 ,"1999-2006" \ |
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127 ,"2002-2006" \ |
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128 ,"2000-2005" \ |
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129 ,"2004-2005" \ |
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130 ,"1996-2006" \ |
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131 ,"2004-2006" \ |
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132 ,"1999-2004" \ |
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133 ,"2003-2005" \ |
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134 ,"2001-2005" \ |
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135 ,"2001-2005" \ |
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136 ,"2005-2006" \ |
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137 ,"2004-2006" \ |
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138 ,"2005-2006" \ |
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139 ,"2005-2006" \ |
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140 ,"2005-2006" \ |
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141 ,"2000-2006" \ |
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142 ,"2004-2006" \ |
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143 ,"2002-2006" \ |
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144 ,"1991-2004" \ |
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145 ,"2004-2004" \ |
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146 ,"1996-2004" \ |
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147 ,"1999-2004" \ |
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148 ,"2003-2006" \ |
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149 ,"2004-2006" \ |
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150 ,"2002-2002" \ |
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151 ,"2000-2006" \ |
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152 ,"2002-2005" \ |
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153 ,"2001-2005" \ |
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154 ,"2001-2005" \ |
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155 ,"2001-2005" \ |
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156 ,"2001-2005" \ |
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157 ,"2004-2005" \ |
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158 ,"2004-2005" \ |
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159 ,"2003-2005" \ |
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160 ,"1996-2000" \ |
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161 ,"2004-2006" \ |
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162 ,"1998-2004" \ |
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163 ,"1999-2005" \ |
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164 ,"1999-2003" \ |
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165 ,"2005-2006" \ |
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166 ,"2005-2006" \ |
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167 ,"1996-2003" \ |
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168 ,"1998-1998" \ |
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169 ,"2004-2006" \ |
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170 ,"1997-2006" \ |
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171 ,"2004-2006" \ |
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172 ,"1997-2006" \ |
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173 ,"2002-2006" \ |
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174 ,"2004-2005" \ |
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175 ,"2001-2006" \ |
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176 ,"2004-2005" \ |
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177 ,"2001-2005" \ |
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178 ,"2001-2005" \ |
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179 ,"2002-2004" \ |
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180 ,"2001-2005" \ |
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181 ,"2001-2005" \ |
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182 ,"2002-2005" \ |
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183 ,"1999-2003" \ |
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184 ,"2001-2006" \ |
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185 ,"1995-1999" \ |
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186 ,"1999-2005" \ |
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187 ,"1999-2004" \ |
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188 ,"2003-2003" \ |
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189 ,"2003-2003" \ |
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190 ,"2002-2005" \ |
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191 ,"2004-2004" \ |
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192 ,"2002-2002" \ |
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193 ,"2005-2005" \ |
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194 ,"2002-2002" \ |
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195 ,"2004-2005" \ |
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196 ,"2002-2002" \ |
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197 /) |
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198 |
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199 field = (/"NEE Flux" \ |
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200 ,"Net Radiation" \ |
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201 ,"Latent Heat" \ |
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202 ,"Sensible Heat" \ |
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203 ,"GPP Flux" \ |
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204 ,"Respiration" \ |
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205 /) |
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206 |
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207 field_unit = (/"u mol/m2/s" \ |
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208 ,"W/m2" \ |
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209 ,"W/m2" \ |
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210 ,"W/m2" \ |
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211 ,"u mol/m2/s" \ |
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212 ,"u mol/m2/s" \ |
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213 /) |
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214 |
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215 nstation = dimsizes(station) |
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216 nfield = dimsizes(field) |
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217 |
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218 ;======================================================================== |
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219 ; get observed info: number of year, first/last year, lat, lon |
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220 |
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221 dir_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/" |
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222 |
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223 year_station = new ((/nstation/),integer) ; number of year |
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224 year_ob_i = new ((/nstation/),integer) ; first year |
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225 year_ob_f = new ((/nstation/),integer) ; last year |
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226 lat_ob = new ((/nstation/),float) ; latitude |
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227 lon_ob = new ((/nstation/),float) ; longitude |
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228 |
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229 do n = 0, nstation-1 |
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230 |
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231 diro = dir_root + station(n)+"/" |
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232 filo = year_ob(n)+"_L4_m.nc" |
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233 fo = addfile (diro+filo,"r") |
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234 |
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235 lat_ob(n) = fo->lat |
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236 lon_ob(n) = fo->lon |
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237 |
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238 year = fo->year |
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239 |
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240 year_station(n) = dimsizes(year) |
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241 year_ob_i(n) = year(0) |
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242 year_ob_f(n) = year(year_station(n)-1) |
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243 |
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244 delete (year) |
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245 |
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246 end do |
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247 |
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248 delete (fo) |
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249 ;print (year_ob_i) |
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250 ;print (year_ob_f) |
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251 |
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252 ;-------------------------------------------------------------- |
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253 ; find (# of year observed) >=4 and year_ob_i <= 2001 |
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254 |
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255 i_long_ob = ind(year_station .ge. 4 .and. year_ob_i .le. 2001) |
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256 |
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257 station_long = station(i_long_ob) |
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258 lat_ob_long = lat_ob(i_long_ob) |
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259 lon_ob_long = lat_ob(i_long_ob) |
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260 year_ob_long = year_ob(i_long_ob) |
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261 year_ob_i_long = year_ob_i(i_long_ob) |
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262 year_ob_f_long = year_ob_f(i_long_ob) |
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263 year_station_long = year_station(i_long_ob) |
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264 |
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265 nstation_long = dimsizes(station_long) |
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266 |
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267 ; print (i_long_ob) |
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268 ; print (nstation_long) |
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269 ; print (station_long) |
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270 ; print (year_ob_i(i_long_ob)) |
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271 |
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272 ;========================================================= |
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273 ; get model data at observed lat-lon |
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274 |
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275 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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276 film = model_name+"_ameriflux_1990-2004_monthly.nc" |
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277 fm = addfile (dirm+film,"r") |
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278 |
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279 xm = fm->lon |
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280 ym = fm->lat |
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281 date = fm->date |
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282 |
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283 date_dim = dimsizes(date) |
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284 nyear = date_dim(0) |
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285 |
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286 nmonth =12 |
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287 |
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288 data_mod = new ((/nfield,nyear,nmonth,nstation/),float) |
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289 data_mod_ann = new ((/nfield,nmonth,nstation/),float) |
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290 data_mod_long = new ((/nfield,nyear,nmonth,nstation_long/),float) |
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291 |
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292 ; change to unit of observed (u mol/m2/s) |
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293 ; Model_units [=] gC/m2/s |
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294 ; 12. = molecular weight of C |
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295 ; u mol = 1e-6 mol |
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296 |
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297 factor = 1.e6 /12. |
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298 |
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299 ;------------------------------------------------------------ |
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300 ; interpolate model data into observed station |
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301 ; note: model is 0-360E, 90S-90N |
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302 |
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303 ; to be able to handle observation at (-89.98,-24.80) |
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304 ym(0) = -90. |
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305 ;------------------------------------------------------------ |
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306 |
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307 if (ENERGY .eq. "old") then |
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308 |
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309 data = fm->NEE |
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310 data_mod(0,:,:,:) = data(:,:,:) * factor |
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311 |
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312 ; data = fm->LATENT |
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313 data1 = fm->FCEV |
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314 data2 = fm->FCTR |
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315 data3 = fm->FGEV |
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316 data_mod(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:) |
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317 delete (data1) |
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318 delete (data2) |
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319 delete (data3) |
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320 |
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321 ; data = fm->SENSIBLE |
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322 data = fm->FSH |
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323 data_mod(3,:,:,:) = data(:,:,:) |
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324 |
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325 ; data = fm->NETRAD |
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326 data1 = fm->FSA |
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327 data2 = fm->FIRA |
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328 data_mod(1,:,:,:) = data1(:,:,:)-data2(:,:,:) |
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329 delete (data1) |
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330 delete (data2) |
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331 |
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332 else |
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333 |
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334 data = fm->NEE |
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335 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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336 data_mod_ann(0,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor |
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337 data_mod(0,:,:,:) = yy(:,:,:) * factor |
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338 |
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339 ; printVarSummary(yy) |
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340 |
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341 data = fm->NETRAD |
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342 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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343 data_mod_ann(1,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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344 data_mod(1,:,:,:) = yy(:,:,:) |
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345 |
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346 data = fm->LATENT |
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347 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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348 data_mod_ann(2,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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349 data_mod(2,:,:,:) = yy(:,:,:) |
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350 |
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351 ; data = fm->SENSIBLE |
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352 data = fm->FSH |
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353 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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354 data_mod_ann(3,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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355 data_mod(3,:,:,:) = yy(:,:,:) |
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356 |
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357 end if |
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358 |
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359 data = fm->GPP |
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360 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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361 data_mod_ann(4,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor |
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362 data_mod(4,:,:,:) = yy(:,:,:) * factor |
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363 |
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364 if (model .eq. "cn") then |
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365 data = fm->ER |
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366 else |
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367 data1 = fm->AR |
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368 data2 = fm->HR |
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369 data = data1 + data2 |
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370 |
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371 delete (data1) |
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372 delete (data2) |
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373 end if |
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374 |
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375 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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376 data_mod_ann(5,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor |
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377 data_mod(5,:,:,:) = yy(:,:,:) * factor |
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378 |
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379 data_mod_long(:,:,:,:) = data_mod(:,:,:,i_long_ob) |
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380 |
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381 delete (data_mod) |
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382 delete (fm) |
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383 delete (data) |
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384 delete (yy) |
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385 |
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386 ;******************************************************************* |
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387 ; for station line plot |
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388 ;******************************************************************* |
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389 |
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390 ; for x-axis in xyplot |
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391 mon = ispan(1,12,1) |
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392 mon@long_name = "month" |
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393 |
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394 res = True ; plot mods desired |
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395 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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396 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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397 |
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398 res@tmXBFormat = "f" ; not to add trailing zeros |
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399 |
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400 ;------------------------------------------------------------------------- |
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401 ; Add a boxed legend using the more simple method |
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402 |
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403 res@pmLegendDisplayMode = "Always" |
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404 ; res@pmLegendWidthF = 0.1 |
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405 res@pmLegendWidthF = 0.08 |
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406 res@pmLegendHeightF = 0.06 |
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407 ; res@pmLegendOrthogonalPosF = -1.17 |
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408 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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409 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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410 |
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411 ; res@pmLegendParallelPosF = 0.18 |
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412 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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413 |
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414 ; res@lgPerimOn = False |
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415 res@lgLabelFontHeightF = 0.015 |
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416 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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417 ;------------------------------------------------------------------- |
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418 ; for panel plot |
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419 res@gsnFrame = False ; Do not draw plot |
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420 res@gsnDraw = False ; Do not advance frame |
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421 |
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422 pres = True ; panel plot mods desired |
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423 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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424 ; indiv. plots in panel |
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425 pres@gsnMaximize = True ; fill the page |
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426 ;------------------------------------------------------------------- |
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427 |
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428 ;============================================================== |
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429 ; get ob data at each site with long observation |
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430 |
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431 dir_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/" |
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432 |
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433 do n = 0,nstation_long-1 |
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434 ; do n = 0,0 |
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435 |
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436 year_setback = 0 |
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437 |
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438 nyear = year_station_long(n) |
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439 |
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440 if (year_ob_f_long(n).eq. 2006) then |
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441 year_setback = 2006 -2004 |
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442 end if |
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443 if (year_ob_f_long(n).eq. 2005) then |
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444 year_setback = 2005 -2004 |
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445 end if |
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446 |
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447 ntime = (nyear - year_setback) * nmonth |
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448 print (nyear) |
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449 |
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450 data_ob = new ((/nfield, nyear, nmonth/),float) |
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451 |
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452 diro = dir_root + station_long(n)+"/" |
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453 filo = year_ob_long(n)+"_L4_m.nc" |
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454 fo = addfile (diro+filo,"r") |
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455 |
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456 ; print (diro) |
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457 ; print (filo) |
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458 |
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459 data_ob(0,:,:) = fo->NEE_or_fMDS |
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460 data_ob(1,:,:) = fo->Rg_f |
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461 data_ob(2,:,:) = fo->LE_f |
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462 data_ob(3,:,:) = fo->H_f |
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463 data_ob(4,:,:) = fo->GPP_or_MDS |
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464 data_ob(5,:,:) = fo->Reco_or |
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465 |
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466 delete (fo) |
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467 |
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468 timeI = new((/ntime/),integer) |
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469 timeF = new((/ntime/),float) |
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470 timeI = ispan(1,ntime,1) |
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471 timeF = year_ob_i_long(n) + (timeI-1)/12. |
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472 timeF@long_name = "year" |
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473 |
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474 plot_data = new((/2,ntime/),float) |
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475 |
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476 ;---------------------------- |
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477 ; for model_vs_ob |
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478 |
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479 plot_name = station_long(n)+"_tseries_vs_ob" |
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480 title = station_long(n)+"("+sprintf("%5.2f",lat_ob_long(n))+","+sprintf("%5.2f",lon_ob_long(n))+")" |
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481 res@tiMainString = title |
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482 |
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483 wks = gsn_open_wks (plot_type,plot_name) |
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484 plot=new(nfield,graphic) ; create graphic array |
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485 |
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486 i_year_mod_i = year_ob_i_long(n) - 1990 |
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487 i_year_mod_f = i_year_mod_i + nyear - 1 - year_setback |
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488 |
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489 i_year_ob_f = nyear - year_setback - 1 |
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490 |
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491 ; print (nyear) |
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492 ; print (i_year_ob_f) |
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493 ; print (i_year_mod_i) |
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494 ; print (i_year_mod_f) |
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495 |
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496 do i = 0,nfield-1 |
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497 plot_data(0,:) = ndtooned(data_ob (i,0:i_year_ob_f,:)) |
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498 plot_data(1,:) = ndtooned(data_mod_long(i,i_year_mod_i:i_year_mod_f,:,n)) |
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499 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
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500 plot(i)=gsn_csm_xy(wks,timeF,plot_data,res) ; create plot |
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501 end do |
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502 |
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503 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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504 |
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505 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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506 "rm "+plot_name+"."+plot_type) |
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507 |
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508 clear (wks) |
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509 delete (plot) |
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510 |
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511 delete (data_ob) |
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512 delete (timeI) |
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513 delete (timeF) |
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514 delete (plot_data) |
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515 |
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516 end do |
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517 |
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518 ;################################################################### |
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519 ; for the following tables, |
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520 ; sort by latitude in decending order (N->S) |
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521 |
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522 isort = dim_pqsort(lat_ob_long,-1) |
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523 |
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524 station_sort = station_long(isort) |
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525 year_ob_sort = year_ob_long(isort) |
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526 lat_ob_sort = lat_ob_long(isort) |
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527 lon_ob_sort = lon_ob_long(isort) |
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528 |
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529 ; print(isort) |
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530 ; print(lat_ob_sort) |
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531 |
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532 ;******************************************************************* |
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533 ; html table of site: observed |
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534 ;******************************************************************* |
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535 output_html = "tseries_vs_ob.html" |
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536 |
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537 header = (/"<HTML>" \ |
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538 ,"<HEAD>" \ |
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539 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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540 ,"</HEAD>" \ |
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541 ,"<H1>Timeseries at Site: "+model_name+" vs Observation</H1>" \ |
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542 /) |
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543 footer = "</HTML>" |
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544 |
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545 table_header = (/ \ |
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546 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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547 ,"<tr>" \ |
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548 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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549 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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550 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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551 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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552 ,"</tr>" \ |
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553 /) |
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554 table_footer = "</table>" |
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555 row_header = "<tr>" |
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556 row_footer = "</tr>" |
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557 |
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558 lines = new(50000,string) |
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559 nline = 0 |
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560 |
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561 set_line(lines,nline,header) |
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562 set_line(lines,nline,table_header) |
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563 ;----------------------------------------------- |
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564 ; row of table |
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565 |
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566 do n = 0,nstation_long-1 |
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567 |
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568 set_line(lines,nline,row_header) |
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569 |
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570 txt0 = station_sort(n) |
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571 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
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572 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
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573 txt3 = year_ob_sort(n) |
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574 |
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575 set_line(lines,nline,"<th><a href="+txt0+"_tseries_vs_ob.png>"+txt0+"</a></th>") |
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576 set_line(lines,nline,"<th>"+txt1+"</th>") |
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577 set_line(lines,nline,"<th>"+txt2+"</th>") |
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578 set_line(lines,nline,"<th>"+txt3+"</th>") |
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579 |
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580 set_line(lines,nline,row_footer) |
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581 end do |
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582 ;----------------------------------------------- |
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583 set_line(lines,nline,table_footer) |
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584 set_line(lines,nline,footer) |
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585 |
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586 ; Now write to an HTML file. |
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587 idx = ind(.not.ismissing(lines)) |
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588 if(.not.any(ismissing(idx))) then |
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589 asciiwrite(output_html,lines(idx)) |
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590 else |
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591 print ("error?") |
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592 end if |
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593 delete (idx) |
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594 |
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595 ;*************************************************************************** |
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596 ; output plots |
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597 ;*************************************************************************** |
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598 output_dir = model_name+"/ameriflux" |
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599 |
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600 system("mv *.png *.html " + output_dir) |
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601 ;*************************************************************************** |
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602 end |