source: trunk/procs/macros/make_energetics.pro @ 205

Last change on this file since 205 was 205, checked in by pinsard, 14 years ago

homegenize THEN BEGIN ... ENDIF
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1;+
2;
3; make energetics computations
4;
5; @param FILE_NAME {in}{required}{type=string}
6;
7; @param NCDF_DB {in}{required}{type=string}
8; <location>:<path> or just <path>
9;
10; @keyword BOXZOOM
11;
12; @keyword TIME_1
13;
14; @keyword TIME_2
15;
16; @keyword ALL_DATA
17;
18; @keyword ZMTYP
19;
20; @returns
21; structure
22; -1 in case of error
23
24; @uses
25; <pro>common</pro>
26; <propost_it>com_eg</propost_it>
27;
28; @history
29; - fplod 20100119T094252Z aedon.locean-ipsl.upmc.fr (Darwin)
30;
31;   * check parameters
32;
33; @version
34; $Id$
35;
36;-
37FUNCTION make_energetics, file_name, ncdf_db $
38         , BOXZOOM=boxzoom $
39         , TIME_1=time_1 $
40         , TIME_2=time_2 $
41         , ALL_DATA=all_data $
42         , ZMTYP=zmtyp
43;
44  compile_opt idl2, strictarrsubs
45;
46@common
47@com_eg
48;
49   IF debug_w THEN BEGIN
50    info = report('enter ...')
51    print, 'cmd_wrk.grid =', cmd_wrk.grid
52   ENDIF
53;
54 usage='result=make_energetics(file_name, ncdf_db ' $
55         + ', BOXZOOM=boxzoom ' $
56         + ', TIME_1=time_1 ' $
57         + ', TIME_2=time_2 ' $
58         + ', ALL_DATA=all_data ' $
59         + ', ZMTYP=zmtyp)'
60
61 nparam = N_PARAMS()
62 IF (nparam LT 2) THEN BEGIN
63    ras = report(['Incorrect number of arguments.' $
64          + '!C' $
65          + 'Usage : ' + usage])
66    return, -1
67 ENDIF
68
69 arg_type = size(file_name,/type)
70 IF (arg_type NE 7) THEN BEGIN
71   ras = report(['Incorrect arg type file_name' $
72          + '!C' $
73          + 'Usage : ' + usage])
74   return, -1
75 ENDIF
76
77 arg_type = size(ncdf_db,/type)
78 IF (arg_type NE 7) THEN BEGIN
79   ras = report(['Incorrect arg type ncdf_db' $
80          + '!C' $
81          + 'Usage : ' + usage])
82   return, -1
83 ENDIF
84
85CASE cmd_wrk.grid OF
86   'T': source_model = 'opa'
87   'T#': source_model = 'opa#'
88   'T05': source_model = 'opa'
89   'T05#': source_model = 'opa#'
90   ELSE: source_model = 'ipcc'
91ENDCASE
92
93;; full vertical domain
94;; imposes vert_type = '0' in plt_def
95vert_switch = 0
96IF debug_w THEN BEGIN
97   print, 'base_file_name:', base_file_name
98   print, 'file_name:', file_name
99ENDIF
100;
101; Read T, S, U, V, W, taux, tauy
102;
103   print, '    Data size to read (M)= ', nxt*nyt*jpt*(5*nzt + 2)*1.e-6
104
105CASE source_model OF
106   'opa': BEGIN
107      tn = nc_read(file_name,'votemper', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
108      sn = nc_read(file_name,'vosaline', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
109      IF data_domain EQ 'pacific' THEN BEGIN
110         file_namu = strmid(file_name, 0, strlen(file_name)-8)+'U_pac.nc'
111         file_namv = strmid(file_name, 0, strlen(file_name)-8)+'V_pac.nc'
112         file_namw = strmid(file_name, 0, strlen(file_name)-8)+'W_pac.nc'
113      ENDIF ELSE BEGIN
114         file_namu = strmid(file_name, 0, strlen(file_name)-4)+'U.nc'
115         file_namv = strmid(file_name, 0, strlen(file_name)-4)+'V.nc'
116         file_namw = strmid(file_name, 0, strlen(file_name)-4)+'W.nc'
117      ENDELSE
118      un = nc_read(file_namu,'vozocrtx', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
119      vn = nc_read(file_namv,'vomecrty', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
120      wn = nc_read(file_namw,'vovecrtz', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
121      tauxn = nc_read(file_namu,'sozotaux', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
122      tauyn = nc_read(file_namv,'sometauy', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
123      var_temp = 'votemper'
124      file_temp = file_name
125   END
126   'opa#': BEGIN
127      tn = nc_read(file_name,'votemper', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
128      IF data_domain EQ 'pacific' THEN BEGIN
129         file_nams = strmid(file_name, 0, strlen(file_name)-17)+'T_pac_vosaline.nc'
130         file_namu = strmid(file_name, 0, strlen(file_name)-17)+'U_pac_vozocrtx.nc'
131         file_namv = strmid(file_name, 0, strlen(file_name)-17)+'V_pac_vomecrty.nc'
132         file_namw = strmid(file_name, 0, strlen(file_name)-17)+'W_pac_vovecrtz.nc'
133         file_namsu = strmid(file_name, 0, strlen(file_name)-17)+'U_pac_sozotaux.nc'
134         file_namsv = strmid(file_name, 0, strlen(file_name)-17)+'V_pac_sometauy.nc'
135      ENDIF ELSE BEGIN
136         file_nams = strmid(file_name, 0, strlen(file_name)-13)+'T_vosaline.nc'
137         file_namu = strmid(file_name, 0, strlen(file_name)-13)+'U_vozocrtx.nc'
138         file_namv = strmid(file_name, 0, strlen(file_name)-13)+'V_vomecrty.nc'
139         file_namw = strmid(file_name, 0, strlen(file_name)-13)+'W_vovecrtz.nc'
140         file_namsu = strmid(file_name, 0, strlen(file_name)-13)+'U_sozotaux.nc'
141         file_namsv = strmid(file_name, 0, strlen(file_name)-13)+'V_sometauy.nc'
142      ENDELSE
143      sn = nc_read(file_nams,'vosaline', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
144      un = nc_read(file_namu,'vozocrtx', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
145      vn = nc_read(file_namv,'vomecrty', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
146      wn = nc_read(file_namw,'vovecrtz', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
147      tauxn = nc_read(file_namsu,'sozotaux', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
148      tauyn = nc_read(file_namsv,'sometauy', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
149      var_temp = 'votemper'
150      file_temp = file_name
151      source_model = 'opa'
152   END
153   'ipcc': BEGIN
154      base_file_name_grd = base_file_name+base_suffix
155      tn = nc_read(base_file_name_grd+'_thetao.nc','thetao', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
156      sn = nc_read(base_file_name_grd+'_so.nc','so', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
157      un = nc_read(base_file_name_grd+'_uo.nc','uo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
158      vn = nc_read(base_file_name_grd+'_vo.nc','vo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
159      wn = nc_read(base_file_name_grd+'_wo.nc','wo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
160      tauxn = nc_read(base_file_name_grd+'_tauu.nc','tauu', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
161      tauyn = nc_read(base_file_name_grd+'_tauv.nc','tauv', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
162      var_temp = 'thetao'
163      file_temp = base_file_name_grd+'_thetao.nc'
164   END
165ENDCASE
166
167t_unit = tn.units
168
169; assign and free memory
170
171   t = tn.data & tn = 0
172   s = sn.data & sn = 0
173   u = un.data & un = 0
174   v = vn.data & vn = 0
175   w = wn.data & wn = 0
176   tx = tauxn.data & tauxn = 0
177   ty = tauyn.data & tauyn = 0
178
179   rg = 9.81
180
181   print, '     read ok'
182
183; rearrange data depending on source
184
185CASE source_model OF
186   'opa': BEGIN
187      ; build mask
188      IF valmask EQ 0. THEN BEGIN
189         tmaskr = abs(s) gt 1.e-6
190         valmask = 1.e20
191         idxw = where (tmaskr EQ 0)
192         IF idxw[0] NE -1 THEN BEGIN
193          w[idxw] = valmask
194         ENDIF
195         idxt = where (tmaskr EQ 0)
196         IF idxt[0] NE -1 THEN BEGIN
197          t[idxt] = 0.
198         ENDIF
199         IF idxt[0] NE -1 THEN BEGIN
200          s[idxt] = 0.
201         ENDIF
202         tmaskr = 0 ; free memory
203      ENDIF ELSE BEGIN
204         idxt = where (t EQ valmask)
205         IF idxt[0] NE -1 THEN BEGIN
206          t[idxt] = 0.
207         ENDIF
208         IF idxt[0] NE -1 THEN BEGIN
209          s[idxt] = 0.
210         ENDIF
211      ENDELSE
212
213      ; transform W fields onto T grid
214      maskw = w LT valmask/10.
215      w_T = 0.5*( w*maskw + shift(w, 0, 0, -1, 0)*shift(maskw, 0, 0, -1, 0) )
216      w_T[*, *, (size(w))[3]-1, *] = w_T[*, *, (size(w))[3]-2, *]
217      w = 0
218      maskw = 0  ; free memory
219
220   END
221   'ipcc': BEGIN
222      idx_t = where (t GT valmask/10)
223      ; special case CCCMA
224      IF strpos(cmd_wrk.exp, 'CCCMA') NE -1 THEN BEGIN
225         ; transform W fields onto T grid
226         maskw = w LT valmask/10.
227         w_T = 0.5*( w*maskw + shift(w, 0, 0, -1, 0)*shift(maskw, 0, 0, -1, 0) )
228         w_T[*, *, (size(w))[3]-1, *] = w_T[*, *, (size(w))[3]-2, *]
229         w = 0
230         w_T[idx_t] = valmask
231         maskw = 0 ; free memory
232      ENDIF ELSE w_T = w
233
234      idx_2d = where (u[*, *, 0, 0] GT valmask/10.)
235      IF idx_2d[0] NE -1 THEN BEGIN
236       tx[idx_2d] = valmask
237      ENDIF
238      idx_2d = where (v[*, *, 0, 0] GT valmask/10.)
239      IF idx_2d[0] NE -1 THEN BEGIN
240       ty[idx_2d] = valmask
241      ENDIF
242      idx = where (t LT valmask/10.)
243      IF t_unit NE "C" THEN BEGIN
244         IF idx[0] NE -1 THEN BEGIN
245          t[idx] = t[idx]-273.15
246         ENDIF
247      ENDIF
248      idx1 = n_elements(idx_t)
249      idx_w = where (w_T GT valmask/10)
250      idx2 = n_elements(idx_w)
251      IF idx1 NE idx2 THEN BEGIN
252         print, ' *** WARNING wo and thetao do not have same masks !', idx1, idx2, min(idx_t -idx_w), max(idx_t- idx_w)
253         print, ' *** Setting wo to zero on all masked points'
254         w_T[idx_w] = 0.
255      ENDIF ELSE print, '       check these are 0 (W,T): ', min(idx_t -idx_w), max(idx_t- idx_w)
256      w = 0 & idx = 0 & idx_t = 0 & idx_w = 0 ; free memory
257      idxt=where(t GT valmask/10.)
258      idxs=where(s GT valmask/10.)
259      IF source_model EQ 'ipcc' THEN BEGIN
260       print, '       check these are 0 (T,S): ', min(idxt -idxs), max(idxt-idxs)
261      ENDIF
262      IF idxt[0] NE -1 THEN BEGIN
263       t[idxt]=0.
264      ENDIF
265      IF idxs[0] NE -1 THEN BEGIN
266       s[idxs]=0.
267      ENDIF
268      idxs = 0                  ; free memory
269
270   END
271ENDCASE
272
273
274; compute potential density rho
275
276   print, '     compute rho...'
277
278
279   sr=sqrt(abs(s))
280   r1=((((6.536332E-9*t-1.120083E-6)*t+1.001685E-4)*t $
281        -9.095290E-3)*t+6.793952E-2)*t+999.842594
282   r2=(((5.3875E-9*t-8.2467E-7)*t+7.6438E-5)*t-4.0899E-3)*t+8.24493E-1
283   r3=(-1.6546E-6*t+1.0227E-4)*t-5.72466E-3
284   rhop = ( ( 4.8314E-4*s + r3*sr +r2)*s +r1)
285   print, '      rhop min/max', min(rhop), max(rhop)
286   IF idxt[0] NE -1 THEN BEGIN
287    rhop[idxt] = valmask
288   ENDIF
289   sr = 0 & r1 = 0 &  r2 = 0 &  r3 = 0 & t = 0 & s = 0 ; free memory
290
291; compute mean profiles on T grid
292
293   vargrid = 'T'
294   IF valmask NE 0 THEN BEGIN
295      rho_s = grossemoyenne(rhop, 'xyt', boite = zbox, NAN = valmask)
296   ENDIF ELSE rho_s = grossemoyenne(rhop, 'xyt', boite = zbox)
297
298   rho_s4d = replicate(1, nxt*nyt)#rho_s
299   rho_s4d = reform(rho_s4d[*]#replicate(1, jpt), nxt, nyt, nzt, jpt, /overwrite)
300
301
302; compute mean stability = d(rho_s)/dz (on W grid)
303
304   rho_diff = (rho_s-shift(rho_s,-1))/shift(e3w, -1)
305   rho_diff = shift(temporary(rho_diff), 1)
306   rho_diff[0] = 0.
307
308; transform onto T grid
309
310   rho_diff_T = 0.5*(rho_diff+shift(rho_diff, -1))
311   rho_diff_T[(size(rho_diff))[1]-1] = rho_diff[(size(rho_diff))[1]-2]
312
313   stab_inv = ABS(1./rho_diff_T)
314
315   rho_diff_T = 0 ; free memory
316
317; remove first 2 levels (MXL too unstable)
318
319   stab_inv[0:1] = 0.
320
321; test: remove only top level
322
323;   stab_inv[0:0] = 0.
324
325; compute [(rho-rho_s)**2]/stability
326
327   stab_inv = replicate(1, nxt*nyt)#stab_inv
328   stab_inv = reform(stab_inv[*]#replicate(1, jpt), nxt, nyt, nzt, jpt, /overwrite)
329
330   int_val2 = ((rhop-rho_s4d)^2)*stab_inv
331   IF idxt[0] NE -1 THEN BEGIN
332    int_val2[idxt] = 0.
333   ENDIF
334
335   print, '     compute APE...'
336
337   ape = 0.5*rg*grossemoyenne(int_val2, 'xyz', /integration)
338
339   int_val2 = 0 ; free memory
340
341   ape_wr = ape
342   ape = ape*1.e-18
343;
344; compute buoyancy forcing bfx = int[(rho-rho_s).w]dxdydz
345;
346   print, '     compute BF...'
347
348   int_val = (rhop-rho_s4d)*(w_T)
349   IF idxt[0] NE -1 THEN BEGIN
350    int_val[idxt] = 0.
351   ENDIF
352
353; remove first 2 levels (MXL too unstable)
354   int_val[*, *, 0:1, *] = 0.
355
356   bfx = rg*grossemoyenne(int_val, 'xyz', /integration)
357
358   int_val = 0 ; free memory
359
360   bfx_wr = bfx
361   bfx_b = bfx
362   bfx = bfx*1.e-11
363
364; compute wind work = int(tau.um)dx.dy where um=u(over 30 m)
365
366   print, '     compute WW...'
367
368   umean=grossemoyenne(u,'z',boite=[0,30])
369   vmean=grossemoyenne(v,'z',boite=[0,30])
370;   umean=grossemoyenne(u,'z',boite=[0,10])
371;   vmean=grossemoyenne(v,'z',boite=[0,10])
372
373   idx = where(tx GT valmask/10.)
374   idy = where(ty GT valmask/10.)
375   idxu = where(umean GT valmask/10.)
376   idyv = where(vmean GT valmask/10.)
377
378   IF idx[0] NE -1 THEN BEGIN
379    tx[idx] = 0.
380   ENDIF
381   IF idy[0] NE -1 THEN BEGIN
382    ty[idy] = 0.
383   ENDIF
384   IF idxu[0] NE -1 THEN BEGIN
385    umean[idxu] = 0.
386   ENDIF
387   IF idyv[0] NE -1 THEN BEGIN
388    vmean[idyv] = 0.
389   ENDIF
390
391   dot_prodx = tx*umean
392   dot_prody = ty*vmean
393
394   wwx = grossemoyenne(dot_prodx, 'xy', /integration)
395   wwy = grossemoyenne(dot_prody, 'xy', /integration)
396   ww = wwx + wwy
397
398   ww_wr = ww
399   ww_b = ww
400   ww = ww*1.e-11
401   wwx = wwx*1.e-11
402   wwy = wwy*1.e-11
403
404; compute forcing efficiency: stddev(B)/stddev(W)
405
406   bfx_1mm = trends(bfx_b, 412, 't')
407   bfx_sc = mean_sc
408   ww_1mm = trends(ww_b, 412, 't')
409   ww_sc = mean_sc
410   efficiency = sqrt((moment(bfx_1mm))[1])/sqrt((moment(ww_1mm))[1])
411   efficiency_sc = sqrt((moment(bfx_sc[0:11]))[1])/sqrt((moment(ww_sc[0:11]))[1])
412
413; plotting stuff
414
415   ps = 0
416
417   red = [0, 255,   0,   0, 0, 255]
418   green = [0,   0, 255,   0, 0,   0]
419   blue = [0,   0,   0, 255, 0, 255]
420   red = [0, red, red, red, red, red, red, red ]
421   green = [0, green, green, green, green, green, green, green]
422   blue = [0, blue, blue, blue, blue, blue, blue, blue ]
423   tvlct, red, green, blue
424
425   IF cmd_wrk.out EQ 'ps' THEN BEGIN
426    ps = 1
427   ENDIF
428
429   IF ps EQ 1 THEN BEGIN
430    openps
431   ENDIF
432
433   pltt, ape, 't', petit = [2, 4, 1], landscape = 1, /rempli, /BASICMARGES, title = 'APE (full) '+cmd_wrk.exp, window=3
434   pltt, ww, 't', petit = [2, 4, 2], min = -2, max = 5, /noerase, /rempli, /BASICMARGES, title = 'Wind work (full) '+cmd_wrk.exp, window=3
435   pltt, bfx, 't', petit = [2, 4, 8], min = -2, max = 5, color = 4, /noerase, /rempli, /BASICMARGES, title = 'B (full)', window=3
436
437   ape_1mm = trends(ape, 412, 't')
438   pltt, ape_1mm, 't', petit = [2, 4, 3], /noerase, /rempli, /BASICMARGES, title = 'APE (inter)', window=3
439   jpt_b = jpt
440   jpt = 24
441   pltt, mean_sc[0:23], 't', petit = [2, 4, 5], /noerase, /rempli, /BASICMARGES, title = 'APE (seasonal cycle x 2)', window=3
442
443   jpt = jpt_b
444
445   ww_1mm = trends(ww, 412, 't')
446   tmp = mean_sc
447   wwx_1mm = trends(wwx, 412, 't')
448
449   pltt, ww_1mm, 't', petit = [2, 4, 4], color = 2, /noerase, /rempli, /BASICMARGES, title = 'Interannual W (red) B (blue) [efficiency = '+string(strcompress(efficiency))+']', window=3
450   pltt, bfx_1mm*1.e-11, 't', petit = [2, 4, 4], /ov1d, color = 4, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
451
452   jpt_b = jpt
453   jpt = 24
454   pltt, tmp[0:23], 't', petit = [2, 4, 6], min = -1, max = 3.5, /noerase, /rempli, /BASICMARGES, title = 'Seasonal Cycle x 2 (W total: black, B: blue, Wx/y: red/green)', window=3
455   pltt, mean_sc[0:23], 't', petit = [2, 4, 6], /ov1d, color = 2, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
456   wwy_1mm = trends(wwy, 412, 't')
457   pltt, mean_sc[0:23], 't', petit = [2, 4, 6], /ov1d, color = 3, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
458   pltt, bfx_sc[0:23]*1.e-11, 't', petit = [2, 4, 6], /ov1d, color = 4, thick = 1, /noerase, /rempli, /BASICMARGES
459   jpt = jpt_b
460
461; compute and plot sst in nino 3
462
463   maxdepth = 10
464   IF gdept[0] GT maxdepth THEN BEGIN
465    maxdepth = gdept[0]
466   ENDIF
467
468   ;domdef, [210., 280., -5., 5., 0., maxdepth]
469   bte = [210., 280., -5., 5., 0., maxdepth]
470   tn = nc_read(file_temp,var_temp, ncdf_db, BOXZOOM = bte, TIME_1 = time_1, TIME_2 = time_2)
471   st = tn.data
472   sst = grossemoyenne(st, 'xyz')
473   sst_wr = sst
474   sst = trends(sst, 412, 't')
475
476   pltt, sst, 't', petit = [2, 4, 7], /noerase, /rempli, /BASICMARGES, title = 'Nino3 SSTA'
477
478   correlation = C_CORRELATE(ape, sst, [0])
479
480   IF ps EQ 1 THEN BEGIN
481      closeps
482      printps
483   ENDIF
484
485; write to ascii file
486
487   get_lun, nuldat
488   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_sst.asc'
489   openw, nuldat, asciidir+filename
490   print, '     -> writing nino 3 sst data to ', asciidir+filename & print, ' '
491   printf, nuldat, sst_wr, format = '(f8.3)'
492   free_lun, nuldat & close, nuldat
493
494   get_lun, nuldat
495   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_ape.asc'
496   openw, nuldat, asciidir+filename
497   print, '     -> writing ape data to ', asciidir+filename & print, ' '
498   printf, nuldat, ape_wr, format = '(g10.4)'
499   free_lun, nuldat & close, nuldat
500
501   get_lun, nuldat
502   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_ww.asc'
503   openw, nuldat, asciidir+filename
504   print, '     -> writing ww data to ', asciidir+filename & print, ' '
505   print, '         min/max of ww, ww_1mm = ', min(ww), max(ww), min(ww_1mm), max(ww_1mm)
506   printf, nuldat, ww_wr, format = '(g10.4)'
507   free_lun, nuldat & close, nuldat
508
509   get_lun, nuldat
510   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_bf.asc'
511   openw, nuldat, asciidir+filename
512   print, '     -> writing bf data to ', asciidir+filename & print, ' '
513   print, '         min/max of bfx, bfx_1mm= ', min(bfx), max(bfx), min(bfx_1mm), max(bfx_1mm)
514   printf, nuldat, bfx_wr, format = '(g10.4)'
515   free_lun, nuldat & close, nuldat
516
517; check that d(APE)/dt ~ ww
518
519   dapedt = (ape-shift(ape, 1))/(86400.*30.)
520;   pltt, dapedt-(ww*1.e11),'t',petit=[1,2,1],/rempli,/portrait
521;   pltt, dapedt/(ww*1.e11),'t',petit=[1,2,2],/rempli,/portrait,/noerase
522   print, ' d(APE)/dt / wind work correlation', C_CORRELATE(dapedt, ww, [0])
523   print, ' APE/nino3 sst correlation=', correlation
524   print, ' B/W efficiency (interannual) = ', efficiency
525   print, ' B/W efficiency (SC) = ', efficiency_sc
526
527   field = {name: '', data: rhop, legend: '', units: '', origin: '', direc: '', dim: 0}
528
529   field.origin = tn.origin
530   field.dim = tn.dim - 1
531
532   field.direc = 'xyzt'
533
534   return, field
535END
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