[106] | 1 | ;------------------------------------------------------------ |
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| 2 | pro flux_evaluation_tpr_timeseries, $ |
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| 3 | ; var, $ ;; flux variable (swr, lwr, lhf, shf) to calculate the statistics |
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| 4 | date1, $ ;; start date (in julian date. eg. 20000101) |
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| 5 | date2 ;; end date (in julian date eg. 20091231) |
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| 6 | |
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| 7 | @common |
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| 8 | ;------------------------------------------------------------ |
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| 9 | reinitplt, /z,/invert |
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| 10 | key_portrait = 0 |
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| 11 | openps, FILENAME = 'idl.ps' |
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| 12 | ;------------------------------------------------------------ |
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| 13 | ;; part to change |
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| 14 | |
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| 15 | min_obs=10. ;; this will allow to calculate statistics at locations with more than 180. valid observation |
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| 16 | |
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| 17 | ;; choose the appropriate min and max values for the following. |
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| 18 | |
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| 19 | bias_mi=-5 & bias_ma=5 & bias_int=0.5 |
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| 20 | std_mi=0.5 & std_ma=1.5 & std_int=0.05 |
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| 21 | rmsd_mi=0 & rmsd_ma=15 & rmsd_int=1.5 |
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| 22 | cor_mi=0.5 & cor_ma=1. & cor_int=0.025 |
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| 23 | |
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| 24 | ;------------------------------------------------------------ |
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| 25 | ;; Before running this program, you have to compile the following subroutines |
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| 26 | ;; .r extract_tpr_location |
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| 27 | ;; .r read_tpr_netflux |
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| 28 | |
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| 29 | ;; TPR locations. This needs to be updated with time since more locations are added to the array. |
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| 30 | |
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| 31 | sitelist=['5n165e','8s67e','12s55e', '8s55e', '8s80.5e', '1.5s80.5e', '0n80.5e', '1.5n80.5e', '1.5s90e', $ |
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| 32 | '0n90e', '1.5n90e', '4n90e','8n90e','12n90e', '15n90e', '5s95e', $ |
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| 33 | '8s165e', '8s180w', '8s155w', '8s125w', '8s110w', '8s95w', '5s156e', '5s165e', '5s180w', '5s170w', $ |
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| 34 | '5s155w', '5s140w', '5s125w', '5s110w', '5s95w', '2s156e', '2s165e', '2s180w', '2s170w', '2s155w', '2s140w', $ |
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| 35 | '2s125w', '2s110w', '2s95w', '0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '0n155w', '0n140w', '0n125w', $ |
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| 36 | '0n110w', '0n95w', '2n147e', '2n156e', '2n165e', '2n180w', '2n170w', '2n155w', '2n140w', '2n125w', '2n110w', $ |
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| 37 | '2n95w', '5n147e', '5n156e', '5n170w', '5n155w', '5n140w', '5n125w', '5n110w', '5n95w', $ |
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| 38 | '8n156e', '8n165e', '8n180w', '8n170w', '9n140w', '8n125w', '8n110w', '8n95w', $ |
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| 39 | '0n0e', '0n10w', '0n23w', '0n35w', '10s10w', '12n23w', '12n38w', '14s32w', '15n38w', '19s34w', '20n38w', $ |
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| 40 | '21n23w', '4n23w', '4n38w', '6s10w', '8n38w', '8s30w'] |
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| 41 | |
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| 42 | ;------------------------------------------------------------------------------------------------------------------------ |
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| 43 | ;; This program will create the following text files with statistics of respective variables |
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| 44 | ;------------------------------------------------------------------------------------------------------------------------ |
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| 45 | close,/all |
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| 46 | |
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| 47 | fi='/Users/pkb/work/MY_SAXO/TropFlux_update/flux_stat.txt' |
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| 48 | openw,1,fi |
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| 49 | |
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| 50 | printf,1, 'x y cor bias std ratio rmsd' |
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| 51 | ;------------------------------------------------------------------------------------------------------------------------ |
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| 52 | ;; First, this program reads the full TropFlux data and later extract it at specific TPR locations |
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| 53 | |
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| 54 | file="/Volumes/PAYASAM/TropFlux/TropFlux/shf_tropflux_1d_1989_2010.nc" |
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| 55 | initncdf, file |
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| 56 | var=-1*read_ncdf("shf", date1, date2, file=file,/nostr) |
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| 57 | help, var |
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| 58 | |
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| 59 | ;------------------------------------------------------------------------------------------------------------------------ |
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| 60 | nn=n_elements(sitelist) |
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| 61 | date1=date1 |
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| 62 | date2=date2 |
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| 63 | nsmooth=1. ;; this will return daily TPR values |
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| 64 | mooring=0 & product=0 |
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| 65 | |
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| 66 | for n=0, nn-1 do begin |
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| 67 | |
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| 68 | ;; reading data from mooring |
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| 69 | |
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| 70 | site=sitelist(n) & csite=site |
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| 71 | print, csite |
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| 72 | x=x_site_location(site) |
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| 73 | y=y_site_location(site) |
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| 74 | if (y ge 0. and y le 30.) then y=y+360. |
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| 75 | dx=0.5 & dy=0.5 & box=[y-dy, y+dy, x-dx, x+dx] |
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| 76 | |
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| 77 | read_tpr_netflux, csite,date1,date2,nsmooth, $ |
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| 78 | sw,lw,sh,lh |
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| 79 | |
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| 80 | ;; select the appropriate variables for evaluation (trp = sw or lw or sh or lh) |
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| 81 | |
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| 82 | tpr=sh |
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| 83 | |
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| 84 | ind=where(finite(tpr)) & no_valid=n_elements(ind) |
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| 85 | |
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| 86 | if (no_valid ge min_obs) then begin |
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| 87 | |
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| 88 | |
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| 89 | extract_tpr_location,var,box, $ |
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| 90 | var_tpr |
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| 91 | var_tpr=reform(var_tpr) |
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| 92 | |
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| 93 | stats_5d, tpr,var_tpr, $ ;; tpr=TPR observation and var_tpr=gridded product extracted at TPR location |
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| 94 | cor, bias, std, rmsd |
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| 95 | |
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| 96 | printf, 1, x, y, cor, bias, std, rmsd, format='(f6.2, 3x, f6.2, 3x, f4.2, 3x, f7.2, 3x, f4.2, 3x, f5.2)' |
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| 97 | cstat=string(cor, bias, std, rmsd, format='(f4.2,3x,f7.2,3x,f4.2,3x,f5.2)') |
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| 98 | print, cstat |
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| 99 | |
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| 100 | ;; PLOTTING THE TIME-SERIES |
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| 101 | array=[tpr, var_tpr] & mi=min(array,/nan) & ma=max(array,/nan) & int=(ma-mi)/3. |
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| 102 | pltt, ts_smooth(tpr,5,/nan), "t",/rempl, small=[1,3,1], lct=65, $ |
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| 103 | title='Five day stats are shown below. TPR (black) and Product (red) at'+csite+' ', charsize=1., $ |
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| 104 | subtitle=cstat |
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| 105 | ind=where(finite(tpr,/nan)) & var_tpr(ind)=!Values.f_nan |
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| 106 | pltt, ts_smooth(var_tpr,5,/nan), "t",/ov1d, color=250 |
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| 107 | erase |
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| 108 | mooring=[mooring,tpr] & product=[product,var_tpr] |
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| 109 | endif |
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| 110 | endfor |
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| 111 | |
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| 112 | close,/all |
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| 113 | ;---------------------------------------------------------- |
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| 114 | closeps |
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| 115 | |
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| 116 | fig='flux_evaluation_tpr_timeseries.ps' |
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| 117 | spawn, 'mv '+psdir+'idl.ps '+updatedir+fig |
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| 118 | spawn, 'gv '+updatedir+fig |
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| 119 | return |
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| 120 | end |
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| 121 | ;-------------------------------------------------------------------------- |
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| 122 | function x_site_location, site |
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| 123 | n1=strpos(site, 's') |
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| 124 | if (n1 gt -1) then begin |
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| 125 | ns=-1. |
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| 126 | x=strmid(site, 0, n1) |
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| 127 | x=float(x)*ns |
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| 128 | endif else begin |
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| 129 | n1=strpos(site, 'n') |
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| 130 | x=strmid(site, 0, n1) |
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| 131 | ny=1. |
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| 132 | x=float(x)*ny |
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| 133 | endelse |
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| 134 | return, float(x) |
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| 135 | end |
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| 136 | ;-------------------------------------------------------------------------- |
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| 137 | function y_site_location, site |
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| 138 | n1=strpos(site, 'e') |
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| 139 | if (n1 gt -1) then begin |
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| 140 | n=strpos(site, 's') |
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| 141 | if (n gt -1) then begin |
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| 142 | y=strmid(site, n+1, n1-n-1) |
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| 143 | endif else begin |
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| 144 | n=strpos(site, 'n') |
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| 145 | y=strmid(site, n+1, n1-n-1) |
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| 146 | endelse |
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| 147 | |
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| 148 | endif else begin |
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| 149 | n1=strpos(site, 'w') |
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| 150 | n=strpos(site, 's') |
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| 151 | if (n gt -1) then begin |
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| 152 | y=strmid(site, n+1, n1-n-1) |
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| 153 | y=180+(180-float(y)) |
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| 154 | endif else begin |
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| 155 | n=strpos(site, 'n') |
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| 156 | y=strmid(site, n+1, n1-n-1) |
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| 157 | y=180+(180-float(y)) |
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| 158 | endelse |
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| 159 | endelse |
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| 160 | return,float(y) |
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| 161 | end |
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| 162 | |
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| 163 | ;-------------------------------------------------------------------------- |
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| 164 | |
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