source: trunk/src/paper01/fig7/ws_validation_scatter_2000_2009_basin.pro @ 182

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1;+
2;
3; .. _ws_validation_scatter_2000_2009_basin.pro:
4;
5; =========================================
6; ws_validation_scatter_2000_2009_basin.pro
7; =========================================
8;
9; DESCRIPTION
10; ===========
11;
12; .. graphviz::
13;
14;    digraph ws_validation_scatter_2000_2009_basin {
15;
16;       ws_erai [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/ws_2000_2009_erai_*.txt"];
17;       ws_tropflux [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_2000_2009_trop_*.txt"];
18;       ws_oaflux [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_2000_2009_oaflx_*.txt"];
19;       ws_ncep [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_2000_2009_ncep_*.txt"];
20;       ws_ncep1 [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_2000_2009_ncep1_*.txt"];
21;       ws_tmi [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_2000_2009_tmi_*.txt"];
22;
23;       figure [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/ws_validation_scatter_2000_2009_basin.ps"];
24;
25;       ws_validation_scatter_2000_2009_basin [shape=box,
26;       fontname=Courier,
27;       color=blue,
28;       URL="http://forge.ipsl.jussieu.fr/tropflux/browser/trunk/src/paper01/fig7/ws_validation_scatter_2000_2009_basin.pro",
29;       label="${TROPFLUX}/src/paper01/fig7/ws_validation_scatter_2000_2009_basin.pro"];
30;
31;       {ws_erai} -> {ws_validation_scatter_2000_2009_basin} -> {ws_tropflux ws_oaflux ws_ncep ws_ncep1 ws_tmi figure}
32;    }
33;
34; SEE ALSO
35; ========
36;
37; :ref:`project_profile.sh`
38; :ref:`project_init.pro`
39; :ref:`cm_project.pro`
40;
41; :func:`x_site_location`
42; :func:`y_site_location`
43;
44; :ref:`read_variables_v2.pro`
45; :ref:`statistics_3var_v1.pro`
46;
47; EXAMPLES
48; ========
49;
50; ::
51;
52;  date1 = 19890101L
53;  date2 = 20091231L
54;  ws_validation_scatter_2000_2009_basin, date1, date2
55;
56; TODO
57; ====
58;
59; make it work on cratos : pb restore, missing data
60;
61; ++ mooring data in graphviz
62;
63; coding rules
64;
65; complete description
66;
67; handle IO error
68;
69; EVOLUTIONS
70; ==========
71;
72; $Id$
73;
74; $URL$
75;
76; - fplod 20110411T142955Z aedon.locean-ipsl.upmc.fr (Darwin)
77;
78;   * minimal header
79;
80;-
81pro ws_validation_scatter_2000_2009_basin,date1,date2
82@cm_general
83@cm_project
84reinitplt, /z,/invert
85key_portrait = 1
86;
87openps, FILENAME = project_od_env+'ws_validation_scatter_2000_2009_'+ocean+'.ps'
88; Give the location of mooring for validation of basic meteorological variables
89;
90sitelist=['8s67e','12s55e', '8s55e', '8s80.5e', '1.5s80.5e', '0n80.5e', '1.5n80.5e', '1.5s90e', $
91           '0n90e', '1.5n90e', '4n90e','8n90e','12n90e', '15n90e', '5s95e', $
92           '8s165e', '8s180w',  '8s155w', '8s125w', '8s110w', '8s95w',  '5s156e', '5s165e', '5s180w', '5s170w', $
93          '5s155w', '5s140w', '5s125w', '5s110w', '5s95w', '2s156e', '2s165e', '2s180w', '2s170w', '2s155w', '2s140w', $
94          '2s125w', '2s110w', '2s95w', '0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '0n155w', '0n140w', '0n125w', $
95          '0n110w', '0n95w', '2n147e', '2n156e', '2n165e', '2n180w', '2n170w', '2n155w', '2n140w', '2n125w', '2n110w', $
96          '2n95w', '5n147e', '5n156e', '5n165e', '5n170w', '5n155w', '5n140w', '5n125w', '5n110w', '5n95w', $
97          '8n156e', '8n165e', '8n180w', '8n170w', '9n140w', '8n125w', '8n110w', '8n95w', $
98          '0n0e', '0n10w', '0n23w', '0n35w', '10s10w', '12n23w', '12n38w', '14s32w', '15n38w', '19s34w', '20n38w', $
99          '21n23w', '4n23w', '4n38w', '6s10w', '8n38w', '8s30w']
100ocean='global'
101;
102sitelist=['8s67e','12s55e', '8s55e', '8s80.5e', '1.5s80.5e', '0n80.5e', '1.5n80.5e', '1.5s90e', $
103           '0n90e', '1.5n90e', '4n90e','8n90e','12n90e', '15n90e', '5s95e']
104ocean='IO'
105;
106sitelist=['8s165e', '8s180w',  '8s155w', '8s125w', '8s110w', '8s95w',  '5s156e', '5s165e', '5s180w', '5s170w', $
107          '5s155w', '5s140w', '5s125w', '5s110w', '5s95w', '2s156e', '2s165e', '2s180w', '2s170w', '2s155w', '2s140w', $
108          '2s125w', '2s110w', '2s95w', '0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '0n155w', '0n140w', '0n125w', $
109          '0n110w', '0n95w', '2n147e', '2n156e', '2n165e', '2n180w', '2n170w', '2n155w', '2n140w', '2n125w', '2n110w', $
110          '2n95w', '5n147e', '5n156e', '5n165e', '5n170w', '5n155w', '5n140w', '5n125w', '5n110w', '5n95w', $
111          '8n156e', '8n165e', '8n180w', '8n170w', '9n140w', '8n125w', '8n110w', '8n95w']
112ocean='Pac'
113;
114sitelist=['8s165e', '8s180w',  '8s155w','5s156e', '5s165e', '5s180w', '5s170w','2s156e', '2s165e', '2s180w', $
115          '2s170w','0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '2n147e', '2n156e', '2n165e', '2n180w', $
116          '2n170w', '5n147e', '5n156e', '5n165e', '5n170w', '8n156e', '8n165e', '8n180w', '8n170w', '9n140w',$
117          '8n125w', '8n110w', '8n95w']
118ocean='Pac_warmpool'
119;
120sitelist=['8s125w', '8s110w', '8s95w','5s155w', '5s140w', '5s125w', '5s110w', '5s95w','2s155w', '2s140w', $
121          '2s125w', '2s110w', '2s95w', '0n155w', '0n140w', '0n125w', '0n110w', '0n95w', '2n155w', '2n140w', $
122          '2n125w', '2n110w', '2n95w',  '5n155w', '5n140w', '5n125w', '5n110w', '5n95w']
123ocean='Pac_coldtongue'
124;
125;sitelist=['0n0e', '0n10w', '0n23w', '0n35w', '10s10w', '12n23w', '12n38w', '14s32w', '15n38w', '19s34w', '20n38w', $
126;          '21n23w', '4n23w', '4n38w', '6s10w', '8n38w', '8s30w']
127;ocean='AO'
128;
129;sitelist=['0n0e','0n35w', '4n23w', '4n38w', '8n38w']
130;ocean='AO_warmpool'
131;
132;sitelist=['0n10w','0n23w','10s10w','12n23w','12n38w','14s32w','15n38w', '19s34w','20n38w', $
133;          '21n23w', '6s10w', '8s30w']
134;ocean='AO_coldtongue'
135;
136nsmooth=1
137;   This program will create the following text files with statistics of respective variables
138close,/all
139;
140fi_ws_erai=project_id_env+'ws_2000_2009_erai_'+ocean+'.txt'
141openw,1,fi_ws_erai
142fi_ws_trop=project_id_env+'ws_2000_2009_trop_'+ocean+'.txt'
143openw,2,fi_ws_trop
144fi_ws_oaflx=project_id_env+'ws_2000_2009_oaflx_'+ocean+'.txt'
145openw,3,fi_ws_oaflx
146fi_ws_ncep=project_id_env+'ws_2000_2009_ncep_'+ocean+'.txt'
147openw,4,fi_ws_ncep
148fi_ws_tmi=project_id_env+'ws_2000_2009_tmi_'+ocean+'.txt'
149openw,5,fi_ws_tmi
150fi_ws_ncep1=project_id_env+'ws_2000_2009_ncep1_'+ocean+'.txt'
151openw,6,fi_ws_ncep1
152;
153printf,1, 'x     y      cor    bias     std     rmsd      mean_tao'
154printf,2, 'x     y      cor    bias     std     rmsd      mean_tao'
155printf,3, 'x     y      cor    bias     std     rmsd      mean_tao'
156printf,4, 'x     y      cor    bias     std     rmsd      mean_tao'
157printf,5, 'x     y      cor    bias     std     rmsd      mean_tao'
158printf,6, 'x     y      cor    bias     std     rmsd      mean_tao'
159;
160; first reading the whole ERAI uncorrected and corrected data
161; date1=20000101
162; date2=20090931
163;
164file=project_id_env+'erai_ws_19890101_20091231_oafluxgrid.nc'
165initncdf, file
166u=read_ncdf('u10',date1,date2,file=file,/nostr)
167;v=read_ncdf('v10',date1,date2,file=file,/nostr)
168;unc=sqrt(u*u+v*v)
169;help, unc
170;
171;save, unc, cor, oaf, nce, ws_tmi, nce1, filename="ws_era_trop_oaf_nce_qscat_2000_2009_global.idl"
172restore, file="/Users/pkb/work/MY_SAXO/ws_era_trop_oaf_nce_qscat_2000_2009_global.idl"
173help, unc, cor, oaf, nce, ws_tmi, nce1
174;
175nn=n_elements(sitelist)
176for n=0, nn-1 do begin
177;
178; reading data from mooring
179;
180    site=sitelist(n)
181    csite=site
182    print, csite
183    x=x_site_location(site)
184    y=y_site_location(site)
185    if (y ge 0. and y le 30.) then y=y+360.
186    dx=0.5
187    dy=0.5
188    box=[y-dy, y+dy, x-dx, x+dx]
189    read_variables_v2, csite,date1,date2,nsmooth, $
190         at, sw,rh,sst,wu,wv,ws, lh
191;
192    ws=alog(10./0.000152)/alog(4./0.000152)*ws
193;
194;  extracting the corrected and uncorrected ERAI data at the locations
195    nsmooth=1.
196;
197    extract_flux_tropflux,unc,box, $
198        tropflux
199    uncr=tropflux
200;
201     extract_flux_tropflux,cor,box, $
202        tropflux
203     corr=tropflux
204;
205     extract_flux_tropflux,oaf,box, $
206        tropflux
207     oafl=tropflux
208;
209     extract_flux_tropflux,nce,box, $
210        tropflux
211     ncep=tropflux
212;
213     extract_flux_tropflux,ws_tmi,box, $
214        tropflux
215     tmi=tropflux
216;
217     extract_flux_tropflux,nce1,box, $
218        tropflux
219     ncep1=tropflux
220;
221    ind=where(finite(ws))
222    ws=ws(ind)
223    uncr_ws=uncr(ind)
224    corr_ws=corr(ind)
225    oafl=oafl(ind)
226    ncep=ncep(ind)
227    tmi=tmi(ind)
228    ncep1=ncep1(ind)
229;
230    mean_tao=total(ws)/n_elements(ws)
231;
232    statistics_3var_v1, ws, uncr_ws, corr_ws, $
233         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
234;
235    printf, 1, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f5.2)'
236    printf, 2, x, y, cor2, bias2, std2, rmsd2, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f5.2)'
237;
238    statistics_3var_v1, ws, oafl, ncep, $
239         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
240    printf, 3, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f5.2)'
241    printf, 4, x, y, cor2, bias2, std2, rmsd2, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f6.2,3x,f4.2,3x,f4.2,3x,f5.2)'
242;
243    statistics_3var_v1, ws, tmi, ncep1, $
244         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
245    printf, 5, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f5.2)'
246    printf, 6, x, y, cor2, bias2, std2, rmsd2, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f5.2)'
247;
248endfor
249close,/all
250fi_ws_erai=project_id_env+'ws_2000_2009_erai_'+ocean+'.txt'
251res=read_ascii(fi_ws_erai,data_start=1)
252ff=res.field1
253lat=reform(ff(0,*))
254lon=reform(ff(1,*))
255cor_era=reform(ff(2,*))
256cor_erai=total(cor_era)/n_elements(cor_era)
257bias_era=reform(ff(3,*))
258bias_erai=total(bias_era)/n_elements(bias_era)
259std_era=reform(ff(4,*))
260std_erai=total(std_era)/n_elements(std_era)
261rmsd_era=reform(ff(5,*))
262rmsd_erai=total(rmsd_era)/n_elements(rmsd_era)
263mean_tao=reform(ff(6,*))
264mean_erai=bias_era+mean_tao
265;
266print, ''
267print, 'ERAI'
268print, cor_erai, bias_erai, std_erai, rmsd_erai
269cstat=string(cor_erai, bias_erai, std_erai, rmsd_erai, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
270splot, mean_tao, mean_erai, title='WS - TAO Vs ERAI', subtitle='', $
271     charsize=1.1, xtitle='TAO WS', ytitle='ERAI WS', small=[2,3,1], psym=2, $
272     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
273xyouts, 2.5,9.4, cstat, charsize=0.9
274xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
275;
276oplot, [2,10], [2,10]
277ab=linfit(mean_tao, mean_erai,yfit=yfit)
278a=float(ab(0))
279b=float(ab(1))
280oplot, mean_tao, yfit, color=250, thick=2
281;
282fi_ws_trop=project_id_env+'ws_2000_2009_trop_'+ocean+'.txt'
283res=read_ascii(fi_ws_trop,data_start=1)
284ff=res.field1
285lat=reform(ff(0,*))
286lon=reform(ff(1,*))
287cor_tro=reform(ff(2,*))
288cor_trop=total(cor_tro)/n_elements(cor_tro)
289bias_tro=reform(ff(3,*))
290bias_trop=total(bias_tro)/n_elements(bias_tro)
291std_tro=reform(ff(4,*))
292std_trop=total(std_tro)/n_elements(std_tro)
293rmsd_tro=reform(ff(5,*))
294rmsd_trop=total(rmsd_tro)/n_elements(rmsd_tro)
295mean_tao=reform(ff(6,*))
296mean_trop=bias_tro+mean_tao
297;
298print, ''
299print, 'TropFlux'
300print, cor_trop, bias_trop, std_trop, rmsd_trop
301cstat=string(cor_trop, bias_trop, std_trop, rmsd_trop, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
302;
303splot, mean_tao, mean_trop, title='WS - TAO Vs TropFlux', subtitle='', $
304     charsize=1.1, xtitle='TAO WS', ytitle='TropFlux WS', small=[2,3,2],/noer, psym=2, $
305     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
306oplot, [2,10], [2,10]
307xyouts, 2.5,9.4, cstat, charsize=0.9
308xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
309;
310ab=linfit(mean_tao, mean_trop,yfit=yfit)
311a=float(ab(0))
312b=float(ab(1))
313oplot, mean_tao, yfit, color=250, thick=2
314;
315fi_ws_oaflx=project_id_env+'ws_2000_2009_oaflx_'+ocean+'.txt'
316res=read_ascii(fi_ws_oaflx,data_start=1)
317ff=res.field1
318lat=reform(ff(0,*))
319lon=reform(ff(1,*))
320cor_oaf=reform(ff(2,*))
321cor_oafl=total(cor_oaf)/n_elements(cor_oaf)
322bias_oaf=reform(ff(3,*))
323bias_oafl=total(bias_oaf)/n_elements(bias_oaf)
324std_oaf=reform(ff(4,*))
325std_oafl=total(std_oaf)/n_elements(std_oaf)
326rmsd_oaf=reform(ff(5,*))
327rmsd_oafl=total(rmsd_oaf)/n_elements(rmsd_oaf)
328mean_tao=reform(ff(6,*))
329mean_oafl=bias_oaf+mean_tao
330;
331print, ''
332print, 'OAFlux'
333print, cor_oafl, bias_oafl, std_oafl, rmsd_oafl
334cstat=string(cor_oafl, bias_oafl, std_oafl, rmsd_oafl, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
335;
336splot, mean_tao, mean_oafl, title='WS - TAO Vs OAFlux', subtitle='', $
337     charsize=1.1, xtitle='TAO WS', ytitle='OAFlux WS', small=[2,3,3],/noer, psym=2, $
338     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
339oplot, [2,10], [2,10]
340xyouts, 2.5,9.4, cstat, charsize=0.9
341xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
342;
343ab=linfit(mean_tao, mean_oafl,yfit=yfit)
344a=float(ab(0))
345b=float(ab(1))
346oplot, mean_tao, yfit, color=250, thick=2
347;
348fi_ws_ncep=project_id_env+'ws_2000_2009_ncep_'+ocean+'.txt'
349res=read_ascii(fi_ws_ncep,data_start=1)
350ff=res.field1
351lat=reform(ff(0,*))
352lon=reform(ff(1,*))
353cor_nce=reform(ff(2,*))
354cor_ncep=total(cor_nce)/n_elements(cor_nce)
355bias_nce=reform(ff(3,*))
356bias_ncep=total(bias_nce)/n_elements(bias_nce)
357std_nce=reform(ff(4,*))
358std_ncep=total(std_nce)/n_elements(std_nce)
359rmsd_nce=reform(ff(5,*))
360rmsd_ncep=total(rmsd_nce)/n_elements(rmsd_nce)
361mean_tao=reform(ff(6,*))
362mean_ncep=bias_nce+mean_tao
363;
364print, ''
365print, 'NCEP2'
366print, cor_ncep, bias_ncep, std_ncep, rmsd_ncep
367cstat=string(cor_ncep, bias_ncep, std_ncep, rmsd_ncep, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
368;
369splot, mean_tao, mean_ncep, title='WS - TAO Vs NCEP2', subtitle='', $
370     charsize=1.1, xtitle='TAO WS', ytitle='NCEP2 WS', small=[2,3,4],/noer, psym=2, $
371     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
372oplot, [2,10], [2,10]
373xyouts, 2.5,9.4, cstat, charsize=0.9
374xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
375;
376ab=linfit(mean_tao, mean_ncep,yfit=yfit)
377a=float(ab(0))
378b=float(ab(1))
379oplot, mean_tao, yfit, color=250, thick=2
380;
381fi_ws_tmi=project_id_env+'ws_2000_2009_tmi_'+ocean+'.txt'
382res=read_ascii(fi_ws_tmi,data_start=1)
383ff=res.field1
384lat=reform(ff(0,*))
385lon=reform(ff(1,*))
386cor_tm=reform(ff(2,*))
387cor_tmi=total(cor_tm)/n_elements(cor_tm)
388bias_tm=reform(ff(3,*))
389bias_tmi=total(bias_tm)/n_elements(bias_tm)
390std_tm=reform(ff(4,*))
391std_tmi=total(std_tm)/n_elements(std_tm)
392rmsd_tm=reform(ff(5,*))
393rmsd_tmi=total(rmsd_tm)/n_elements(rmsd_tm)
394mean_tao=reform(ff(6,*))
395mean_tmi=bias_tm+mean_tao
396;
397print, ''
398print, 'Qscat'
399print, cor_tmi, bias_tmi, std_tmi, rmsd_tmi
400cstat=string(cor_tmi, bias_tmi, std_tmi, rmsd_tmi, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
401;
402splot, mean_tao, mean_tmi, title='WS - TAO Vs Qscat', subtitle='', $
403     charsize=1.1, xtitle='TAO WS', ytitle='TMI WS', small=[2,3,5],/noer, psym=2, $
404     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
405oplot, [2,10], [2,10]
406xyouts, 2.5,9.4, cstat, charsize=0.9
407xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
408;
409ab=linfit(mean_tao, mean_tmi,yfit=yfit)
410a=float(ab(0))
411b=float(ab(1))
412oplot, mean_tao, yfit, color=250, thick=2
413;
414fi_ws_ncep1=project_id_env+'ws_2000_2009_ncep1_'+ocean+'.txt'
415res=read_ascii(fi_ws_ncep1,data_start=1)
416ff=res.field1
417lat=reform(ff(0,*))
418lon=reform(ff(1,*))
419cor_nce=reform(ff(2,*))
420cor_ncep=total(cor_nce)/n_elements(cor_nce)
421bias_nce=reform(ff(3,*))
422bias_ncep=total(bias_nce)/n_elements(bias_nce)
423std_nce=reform(ff(4,*))
424std_ncep=total(std_nce)/n_elements(std_nce)
425rmsd_nce=reform(ff(5,*))
426rmsd_ncep=total(rmsd_nce)/n_elements(rmsd_nce)
427mean_tao=reform(ff(6,*))
428mean_ncep=bias_nce+mean_tao
429;
430print, ''
431print, 'NCEP'
432print, cor_ncep, bias_ncep, std_ncep, rmsd_ncep
433cstat=string(cor_ncep, bias_ncep, std_ncep, rmsd_ncep, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
434;
435splot, mean_tao, mean_ncep, title='WS - TAO Vs NCEP', subtitle='', $
436     charsize=1.1, xtitle='TAO WS', ytitle='NCEP WS', small=[2,3,6],/noer, psym=2, $
437     xrange=[2,10], yrange=[2,10], xmin=1,ymin=1
438oplot, [2,10], [2,10]
439xyouts, 2.5,9.4, cstat, charsize=0.9
440xyouts, 2.5,8.5, 'cor   bias   std   rmsd', charsize=0.9
441;
442ab=linfit(mean_tao, mean_ncep,yfit=yfit)
443a=float(ab(0))
444b=float(ab(1))
445oplot, mean_tao, yfit, color=250, thick=2
446;
447closeps
448;
449end
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