source: trunk/procs/macros/make_energetics.pro

Last change on this file was 206, checked in by pinsard, 14 years ago

homegenize ELSE BEGIN ... ENDELSE
  • Property svn:keywords set to Id
File size: 17.4 KB
Line 
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; <pro>grossemoyenne</pro>
29;
30; @history
31; - fplod 20100119T094252Z aedon.locean-ipsl.upmc.fr (Darwin)
32;
33;   * check parameters
34;
35; @version
36; $Id$
37;
38;-
39FUNCTION make_energetics, file_name, ncdf_db $
40         , BOXZOOM=boxzoom $
41         , TIME_1=time_1 $
42         , TIME_2=time_2 $
43         , ALL_DATA=all_data $
44         , ZMTYP=zmtyp
45;
46  compile_opt idl2, strictarrsubs
47;
48@common
49@com_eg
50;
51   IF debug_w THEN BEGIN
52    info = report('enter ...')
53    print, 'cmd_wrk.grid =', cmd_wrk.grid
54   ENDIF
55;
56 usage='result=make_energetics(file_name, ncdf_db ' $
57         + ', BOXZOOM=boxzoom ' $
58         + ', TIME_1=time_1 ' $
59         + ', TIME_2=time_2 ' $
60         + ', ALL_DATA=all_data ' $
61         + ', ZMTYP=zmtyp)'
62
63 nparam = N_PARAMS()
64 IF (nparam LT 2) THEN BEGIN
65    ras = report(['Incorrect number of arguments.' $
66          + '!C' $
67          + 'Usage : ' + usage])
68    return, -1
69 ENDIF
70
71 arg_type = size(file_name,/type)
72 IF (arg_type NE 7) THEN BEGIN
73   ras = report(['Incorrect arg type file_name' $
74          + '!C' $
75          + 'Usage : ' + usage])
76   return, -1
77 ENDIF
78
79 arg_type = size(ncdf_db,/type)
80 IF (arg_type NE 7) THEN BEGIN
81   ras = report(['Incorrect arg type ncdf_db' $
82          + '!C' $
83          + 'Usage : ' + usage])
84   return, -1
85 ENDIF
86
87CASE cmd_wrk.grid OF
88   'T': source_model = 'opa'
89   'T#': source_model = 'opa#'
90   'T05': source_model = 'opa'
91   'T05#': source_model = 'opa#'
92   ELSE: source_model = 'ipcc'
93ENDCASE
94
95;; full vertical domain
96;; imposes vert_type = '0' in plt_def
97vert_switch = 0
98IF debug_w THEN BEGIN
99   print, 'base_file_name:', base_file_name
100   print, 'file_name:', file_name
101ENDIF
102;
103; Read T, S, U, V, W, taux, tauy
104;
105   print, '    Data size to read (M)= ', nxt*nyt*jpt*(5*nzt + 2)*1.e-6
106
107CASE source_model OF
108   'opa': BEGIN
109      tn = nc_read(file_name,'votemper', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
110      sn = nc_read(file_name,'vosaline', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
111      IF data_domain EQ 'pacific' THEN BEGIN
112         file_namu = strmid(file_name, 0, strlen(file_name)-8)+'U_pac.nc'
113         file_namv = strmid(file_name, 0, strlen(file_name)-8)+'V_pac.nc'
114         file_namw = strmid(file_name, 0, strlen(file_name)-8)+'W_pac.nc'
115      ENDIF ELSE BEGIN
116         file_namu = strmid(file_name, 0, strlen(file_name)-4)+'U.nc'
117         file_namv = strmid(file_name, 0, strlen(file_name)-4)+'V.nc'
118         file_namw = strmid(file_name, 0, strlen(file_name)-4)+'W.nc'
119      ENDELSE
120      un = nc_read(file_namu,'vozocrtx', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
121      vn = nc_read(file_namv,'vomecrty', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
122      wn = nc_read(file_namw,'vovecrtz', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
123      tauxn = nc_read(file_namu,'sozotaux', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
124      tauyn = nc_read(file_namv,'sometauy', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
125      var_temp = 'votemper'
126      file_temp = file_name
127   END
128   'opa#': BEGIN
129      tn = nc_read(file_name,'votemper', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
130      IF data_domain EQ 'pacific' THEN BEGIN
131         file_nams = strmid(file_name, 0, strlen(file_name)-17)+'T_pac_vosaline.nc'
132         file_namu = strmid(file_name, 0, strlen(file_name)-17)+'U_pac_vozocrtx.nc'
133         file_namv = strmid(file_name, 0, strlen(file_name)-17)+'V_pac_vomecrty.nc'
134         file_namw = strmid(file_name, 0, strlen(file_name)-17)+'W_pac_vovecrtz.nc'
135         file_namsu = strmid(file_name, 0, strlen(file_name)-17)+'U_pac_sozotaux.nc'
136         file_namsv = strmid(file_name, 0, strlen(file_name)-17)+'V_pac_sometauy.nc'
137      ENDIF ELSE BEGIN
138         file_nams = strmid(file_name, 0, strlen(file_name)-13)+'T_vosaline.nc'
139         file_namu = strmid(file_name, 0, strlen(file_name)-13)+'U_vozocrtx.nc'
140         file_namv = strmid(file_name, 0, strlen(file_name)-13)+'V_vomecrty.nc'
141         file_namw = strmid(file_name, 0, strlen(file_name)-13)+'W_vovecrtz.nc'
142         file_namsu = strmid(file_name, 0, strlen(file_name)-13)+'U_sozotaux.nc'
143         file_namsv = strmid(file_name, 0, strlen(file_name)-13)+'V_sometauy.nc'
144      ENDELSE
145      sn = nc_read(file_nams,'vosaline', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
146      un = nc_read(file_namu,'vozocrtx', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
147      vn = nc_read(file_namv,'vomecrty', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
148      wn = nc_read(file_namw,'vovecrtz', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
149      tauxn = nc_read(file_namsu,'sozotaux', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
150      tauyn = nc_read(file_namsv,'sometauy', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
151      var_temp = 'votemper'
152      file_temp = file_name
153      source_model = 'opa'
154   END
155   'ipcc': BEGIN
156      base_file_name_grd = base_file_name+base_suffix
157      tn = nc_read(base_file_name_grd+'_thetao.nc','thetao', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
158      sn = nc_read(base_file_name_grd+'_so.nc','so', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
159      un = nc_read(base_file_name_grd+'_uo.nc','uo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
160      vn = nc_read(base_file_name_grd+'_vo.nc','vo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
161      wn = nc_read(base_file_name_grd+'_wo.nc','wo', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
162      tauxn = nc_read(base_file_name_grd+'_tauu.nc','tauu', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
163      tauyn = nc_read(base_file_name_grd+'_tauv.nc','tauv', ncdf_db, BOXZOOM = boxzoom, TIME_1 = time_1, TIME_2 = time_2)
164      var_temp = 'thetao'
165      file_temp = base_file_name_grd+'_thetao.nc'
166   END
167ENDCASE
168
169t_unit = tn.units
170
171; assign and free memory
172
173   t = tn.data & tn = 0
174   s = sn.data & sn = 0
175   u = un.data & un = 0
176   v = vn.data & vn = 0
177   w = wn.data & wn = 0
178   tx = tauxn.data & tauxn = 0
179   ty = tauyn.data & tauyn = 0
180
181   rg = 9.81
182
183   print, '     read ok'
184
185; rearrange data depending on source
186
187CASE source_model OF
188   'opa': BEGIN
189      ; build mask
190      IF valmask EQ 0. THEN BEGIN
191         tmaskr = abs(s) gt 1.e-6
192         valmask = 1.e20
193         idxw = where (tmaskr EQ 0)
194         IF idxw[0] NE -1 THEN BEGIN
195          w[idxw] = valmask
196         ENDIF
197         idxt = where (tmaskr EQ 0)
198         IF idxt[0] NE -1 THEN BEGIN
199          t[idxt] = 0.
200         ENDIF
201         IF idxt[0] NE -1 THEN BEGIN
202          s[idxt] = 0.
203         ENDIF
204         tmaskr = 0 ; free memory
205      ENDIF ELSE BEGIN
206         idxt = where (t EQ valmask)
207         IF idxt[0] NE -1 THEN BEGIN
208          t[idxt] = 0.
209         ENDIF
210         IF idxt[0] NE -1 THEN BEGIN
211          s[idxt] = 0.
212         ENDIF
213      ENDELSE
214
215      ; transform W fields onto T grid
216      maskw = w LT valmask/10.
217      w_T = 0.5*( w*maskw + shift(w, 0, 0, -1, 0)*shift(maskw, 0, 0, -1, 0) )
218      w_T[*, *, (size(w))[3]-1, *] = w_T[*, *, (size(w))[3]-2, *]
219      w = 0
220      maskw = 0  ; free memory
221
222   END
223   'ipcc': BEGIN
224      idx_t = where (t GT valmask/10)
225      ; special case CCCMA
226      IF strpos(cmd_wrk.exp, 'CCCMA') NE -1 THEN BEGIN
227         ; transform W fields onto T grid
228         maskw = w LT valmask/10.
229         w_T = 0.5*( w*maskw + shift(w, 0, 0, -1, 0)*shift(maskw, 0, 0, -1, 0) )
230         w_T[*, *, (size(w))[3]-1, *] = w_T[*, *, (size(w))[3]-2, *]
231         w = 0
232         w_T[idx_t] = valmask
233         maskw = 0 ; free memory
234      ENDIF ELSE BEGIN
235         w_T = w
236      ENDELSE
237
238      idx_2d = where (u[*, *, 0, 0] GT valmask/10.)
239      IF idx_2d[0] NE -1 THEN BEGIN
240       tx[idx_2d] = valmask
241      ENDIF
242      idx_2d = where (v[*, *, 0, 0] GT valmask/10.)
243      IF idx_2d[0] NE -1 THEN BEGIN
244       ty[idx_2d] = valmask
245      ENDIF
246      idx = where (t LT valmask/10.)
247      IF t_unit NE "C" THEN BEGIN
248         IF idx[0] NE -1 THEN BEGIN
249          t[idx] = t[idx]-273.15
250         ENDIF
251      ENDIF
252      idx1 = n_elements(idx_t)
253      idx_w = where (w_T GT valmask/10)
254      idx2 = n_elements(idx_w)
255      IF idx1 NE idx2 THEN BEGIN
256         print, ' *** WARNING wo and thetao do not have same masks !', idx1, idx2, min(idx_t -idx_w), max(idx_t- idx_w)
257         print, ' *** Setting wo to zero on all masked points'
258         w_T[idx_w] = 0.
259      ENDIF ELSE BEGIN
260         print, '       check these are 0 (W,T): ', min(idx_t -idx_w), max(idx_t- idx_w)
261      ENDELSE
262      w = 0 & idx = 0 & idx_t = 0 & idx_w = 0 ; free memory
263      idxt=where(t GT valmask/10.)
264      idxs=where(s GT valmask/10.)
265      IF source_model EQ 'ipcc' THEN BEGIN
266       print, '       check these are 0 (T,S): ', min(idxt -idxs), max(idxt-idxs)
267      ENDIF
268      IF idxt[0] NE -1 THEN BEGIN
269       t[idxt]=0.
270      ENDIF
271      IF idxs[0] NE -1 THEN BEGIN
272       s[idxs]=0.
273      ENDIF
274      idxs = 0                  ; free memory
275
276   END
277ENDCASE
278
279
280; compute potential density rho
281
282   print, '     compute rho...'
283
284
285   sr=sqrt(abs(s))
286   r1=((((6.536332E-9*t-1.120083E-6)*t+1.001685E-4)*t $
287        -9.095290E-3)*t+6.793952E-2)*t+999.842594
288   r2=(((5.3875E-9*t-8.2467E-7)*t+7.6438E-5)*t-4.0899E-3)*t+8.24493E-1
289   r3=(-1.6546E-6*t+1.0227E-4)*t-5.72466E-3
290   rhop = ( ( 4.8314E-4*s + r3*sr +r2)*s +r1)
291   print, '      rhop min/max', min(rhop), max(rhop)
292   IF idxt[0] NE -1 THEN BEGIN
293    rhop[idxt] = valmask
294   ENDIF
295   sr = 0 & r1 = 0 &  r2 = 0 &  r3 = 0 & t = 0 & s = 0 ; free memory
296
297; compute mean profiles on T grid
298
299   vargrid = 'T'
300   IF valmask NE 0 THEN BEGIN
301      rho_s = grossemoyenne(rhop, 'xyt', boite = zbox, NAN = valmask)
302   ENDIF ELSE BEGIN
303      rho_s = grossemoyenne(rhop, 'xyt', boite = zbox)
304   ENDELSE
305
306   rho_s4d = replicate(1, nxt*nyt)#rho_s
307   rho_s4d = reform(rho_s4d[*]#replicate(1, jpt), nxt, nyt, nzt, jpt, /overwrite)
308
309
310; compute mean stability = d(rho_s)/dz (on W grid)
311
312   rho_diff = (rho_s-shift(rho_s,-1))/shift(e3w, -1)
313   rho_diff = shift(temporary(rho_diff), 1)
314   rho_diff[0] = 0.
315
316; transform onto T grid
317
318   rho_diff_T = 0.5*(rho_diff+shift(rho_diff, -1))
319   rho_diff_T[(size(rho_diff))[1]-1] = rho_diff[(size(rho_diff))[1]-2]
320
321   stab_inv = ABS(1./rho_diff_T)
322
323   rho_diff_T = 0 ; free memory
324
325; remove first 2 levels (MXL too unstable)
326
327   stab_inv[0:1] = 0.
328
329; test: remove only top level
330
331;   stab_inv[0:0] = 0.
332
333; compute [(rho-rho_s)**2]/stability
334
335   stab_inv = replicate(1, nxt*nyt)#stab_inv
336   stab_inv = reform(stab_inv[*]#replicate(1, jpt), nxt, nyt, nzt, jpt, /overwrite)
337
338   int_val2 = ((rhop-rho_s4d)^2)*stab_inv
339   IF idxt[0] NE -1 THEN BEGIN
340    int_val2[idxt] = 0.
341   ENDIF
342
343   print, '     compute APE...'
344
345   ape = 0.5*rg*grossemoyenne(int_val2, 'xyz', /integration)
346
347   int_val2 = 0 ; free memory
348
349   ape_wr = ape
350   ape = ape*1.e-18
351;
352; compute buoyancy forcing bfx = int[(rho-rho_s).w]dxdydz
353;
354   print, '     compute BF...'
355
356   int_val = (rhop-rho_s4d)*(w_T)
357   IF idxt[0] NE -1 THEN BEGIN
358    int_val[idxt] = 0.
359   ENDIF
360
361; remove first 2 levels (MXL too unstable)
362   int_val[*, *, 0:1, *] = 0.
363
364   bfx = rg*grossemoyenne(int_val, 'xyz', /integration)
365
366   int_val = 0 ; free memory
367
368   bfx_wr = bfx
369   bfx_b = bfx
370   bfx = bfx*1.e-11
371
372; compute wind work = int(tau.um)dx.dy where um=u(over 30 m)
373
374   print, '     compute WW...'
375
376   umean=grossemoyenne(u,'z',boite=[0,30])
377   vmean=grossemoyenne(v,'z',boite=[0,30])
378;   umean=grossemoyenne(u,'z',boite=[0,10])
379;   vmean=grossemoyenne(v,'z',boite=[0,10])
380
381   idx = where(tx GT valmask/10.)
382   idy = where(ty GT valmask/10.)
383   idxu = where(umean GT valmask/10.)
384   idyv = where(vmean GT valmask/10.)
385
386   IF idx[0] NE -1 THEN BEGIN
387    tx[idx] = 0.
388   ENDIF
389   IF idy[0] NE -1 THEN BEGIN
390    ty[idy] = 0.
391   ENDIF
392   IF idxu[0] NE -1 THEN BEGIN
393    umean[idxu] = 0.
394   ENDIF
395   IF idyv[0] NE -1 THEN BEGIN
396    vmean[idyv] = 0.
397   ENDIF
398
399   dot_prodx = tx*umean
400   dot_prody = ty*vmean
401
402   wwx = grossemoyenne(dot_prodx, 'xy', /integration)
403   wwy = grossemoyenne(dot_prody, 'xy', /integration)
404   ww = wwx + wwy
405
406   ww_wr = ww
407   ww_b = ww
408   ww = ww*1.e-11
409   wwx = wwx*1.e-11
410   wwy = wwy*1.e-11
411
412; compute forcing efficiency: stddev(B)/stddev(W)
413
414   bfx_1mm = trends(bfx_b, 412, 't')
415   bfx_sc = mean_sc
416   ww_1mm = trends(ww_b, 412, 't')
417   ww_sc = mean_sc
418   efficiency = sqrt((moment(bfx_1mm))[1])/sqrt((moment(ww_1mm))[1])
419   efficiency_sc = sqrt((moment(bfx_sc[0:11]))[1])/sqrt((moment(ww_sc[0:11]))[1])
420
421; plotting stuff
422
423   ps = 0
424
425   red = [0, 255,   0,   0, 0, 255]
426   green = [0,   0, 255,   0, 0,   0]
427   blue = [0,   0,   0, 255, 0, 255]
428   red = [0, red, red, red, red, red, red, red ]
429   green = [0, green, green, green, green, green, green, green]
430   blue = [0, blue, blue, blue, blue, blue, blue, blue ]
431   tvlct, red, green, blue
432
433   IF cmd_wrk.out EQ 'ps' THEN BEGIN
434    ps = 1
435   ENDIF
436
437   IF ps EQ 1 THEN BEGIN
438    openps
439   ENDIF
440
441   pltt, ape, 't', petit = [2, 4, 1], landscape = 1, /rempli, /BASICMARGES, title = 'APE (full) '+cmd_wrk.exp, window=3
442   pltt, ww, 't', petit = [2, 4, 2], min = -2, max = 5, /noerase, /rempli, /BASICMARGES, title = 'Wind work (full) '+cmd_wrk.exp, window=3
443   pltt, bfx, 't', petit = [2, 4, 8], min = -2, max = 5, color = 4, /noerase, /rempli, /BASICMARGES, title = 'B (full)', window=3
444
445   ape_1mm = trends(ape, 412, 't')
446   pltt, ape_1mm, 't', petit = [2, 4, 3], /noerase, /rempli, /BASICMARGES, title = 'APE (inter)', window=3
447   jpt_b = jpt
448   jpt = 24
449   pltt, mean_sc[0:23], 't', petit = [2, 4, 5], /noerase, /rempli, /BASICMARGES, title = 'APE (seasonal cycle x 2)', window=3
450
451   jpt = jpt_b
452
453   ww_1mm = trends(ww, 412, 't')
454   tmp = mean_sc
455   wwx_1mm = trends(wwx, 412, 't')
456
457   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
458   pltt, bfx_1mm*1.e-11, 't', petit = [2, 4, 4], /ov1d, color = 4, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
459
460   jpt_b = jpt
461   jpt = 24
462   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
463   pltt, mean_sc[0:23], 't', petit = [2, 4, 6], /ov1d, color = 2, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
464   wwy_1mm = trends(wwy, 412, 't')
465   pltt, mean_sc[0:23], 't', petit = [2, 4, 6], /ov1d, color = 3, thick = 2, /noerase, /rempli, /BASICMARGES, window=3
466   pltt, bfx_sc[0:23]*1.e-11, 't', petit = [2, 4, 6], /ov1d, color = 4, thick = 1, /noerase, /rempli, /BASICMARGES
467   jpt = jpt_b
468
469; compute and plot sst in nino 3
470
471   maxdepth = 10
472   IF gdept[0] GT maxdepth THEN BEGIN
473    maxdepth = gdept[0]
474   ENDIF
475
476   ;domdef, [210., 280., -5., 5., 0., maxdepth]
477   bte = [210., 280., -5., 5., 0., maxdepth]
478   tn = nc_read(file_temp,var_temp, ncdf_db, BOXZOOM = bte, TIME_1 = time_1, TIME_2 = time_2)
479   st = tn.data
480   sst = grossemoyenne(st, 'xyz')
481   sst_wr = sst
482   sst = trends(sst, 412, 't')
483
484   pltt, sst, 't', petit = [2, 4, 7], /noerase, /rempli, /BASICMARGES, title = 'Nino3 SSTA'
485
486   correlation = C_CORRELATE(ape, sst, [0])
487
488   IF ps EQ 1 THEN BEGIN
489      closeps
490      printps
491   ENDIF
492
493; write to ascii file
494
495   get_lun, nuldat
496   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_sst.asc'
497   openw, nuldat, asciidir+filename
498   print, '     -> writing nino 3 sst data to ', asciidir+filename & print, ' '
499   printf, nuldat, sst_wr, format = '(f8.3)'
500   free_lun, nuldat & close, nuldat
501
502   get_lun, nuldat
503   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_ape.asc'
504   openw, nuldat, asciidir+filename
505   print, '     -> writing ape data to ', asciidir+filename & print, ' '
506   printf, nuldat, ape_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+'_ww.asc'
511   openw, nuldat, asciidir+filename
512   print, '     -> writing ww data to ', asciidir+filename & print, ' '
513   print, '         min/max of ww, ww_1mm = ', min(ww), max(ww), min(ww_1mm), max(ww_1mm)
514   printf, nuldat, ww_wr, format = '(g10.4)'
515   free_lun, nuldat & close, nuldat
516
517   get_lun, nuldat
518   filename = cmd_wrk.exp+'_'+cmd_wrk.date1+'_'+cmd_wrk.spec+'_'+cmd_wrk.plt+'_bf.asc'
519   openw, nuldat, asciidir+filename
520   print, '     -> writing bf data to ', asciidir+filename & print, ' '
521   print, '         min/max of bfx, bfx_1mm= ', min(bfx), max(bfx), min(bfx_1mm), max(bfx_1mm)
522   printf, nuldat, bfx_wr, format = '(g10.4)'
523   free_lun, nuldat & close, nuldat
524
525; check that d(APE)/dt ~ ww
526
527   dapedt = (ape-shift(ape, 1))/(86400.*30.)
528;   pltt, dapedt-(ww*1.e11),'t',petit=[1,2,1],/rempli,/portrait
529;   pltt, dapedt/(ww*1.e11),'t',petit=[1,2,2],/rempli,/portrait,/noerase
530   print, ' d(APE)/dt / wind work correlation', C_CORRELATE(dapedt, ww, [0])
531   print, ' APE/nino3 sst correlation=', correlation
532   print, ' B/W efficiency (interannual) = ', efficiency
533   print, ' B/W efficiency (SC) = ', efficiency_sc
534
535   field = {name: '', data: rhop, legend: '', units: '', origin: '', direc: '', dim: 0}
536
537   field.origin = tn.origin
538   field.dim = tn.dim - 1
539
540   field.direc = 'xyzt'
541
542   return, field
543END
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