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