| 1 | ; |
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| 2 | ;------------------------------------------------------------------------------ |
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| 3 | ; |
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| 4 | ; This script makes plots of biological simulations |
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| 5 | ; |
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| 6 | ; (c) Martin Vancoppenolle, UCL-ASTR, june 2007 |
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| 7 | ; reviewed may 2008 |
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| 8 | ; reviewed feb 2010, for biological model |
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| 9 | ; reviewed aug 2014, helsinki |
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| 10 | ; reviewed nov 2015, helsinki |
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| 11 | ; |
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| 12 | ;-------------------- |
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| 13 | ;--- YROSIAE site --- |
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| 14 | ;-------------------- |
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| 15 | ; |
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| 16 | ;------------------------------------------------------------------------------ |
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| 17 | ; |
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| 18 | miss_val = -9999. |
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| 19 | i_auto = 1 ; 1=use exp_id.dat; 2=use manual mode with sensitivity runs |
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| 20 | plot_type = 'DEFAULT' ; |
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| 21 | ; |
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| 22 | ;============================================================================== |
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| 23 | ; General Options |
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| 24 | ;============================================================================== |
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| 25 | ; |
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| 26 | |
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| 27 | IF ( i_auto EQ 1 ) THEN BEGIN ; automatic mode |
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| 28 | |
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| 29 | nruns = 1 |
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| 30 | control_run = 'E001' & indir = '' & outdir = '' & dt = 86400 & c_bio_model = 'BFMSI' & site = 'TOURNAI' |
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| 31 | |
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| 32 | OPENR, 11, 'exp_id.dat' |
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| 33 | READF, 11, control_run & READF, 11, indir & READF, 11, outdir |
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| 34 | READF, 11, dt & READF, 11, c_bio_model & READF, 11, site |
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| 35 | CLOSE, 11 |
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| 36 | |
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| 37 | PRINT, control_run |
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| 38 | PRINT, indir |
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| 39 | PRINT, outdir |
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| 40 | PRINT, dt |
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| 41 | PRINT, c_bio_model |
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| 42 | PRINT, site |
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| 43 | |
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| 44 | ENDIF |
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| 45 | |
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| 46 | ;------------- |
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| 47 | ; Manual mode |
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| 48 | ;------------- |
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| 49 | IF ( i_auto EQ 0 ) THEN BEGIN |
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| 50 | |
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| 51 | indir_base = '/Users/ioulianikolskaia/Boulot/CODES/BFMLIM_2013/BFM-LIM-2506_2014/LIM/RUN/' |
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| 52 | outdir = '/Users/ioulianikolskaia/Boulot/SCIENCE/PLOT_SCRIPTS/LIM1D_BIO/IDL/plots/' |
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| 53 | dt = 3600. ; time step |
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| 54 | |
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| 55 | control_run = 'LIM_KR_ML' |
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| 56 | sensiti_run = [ ] |
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| 57 | ; sensiti_run = [ 'LIM_KR_SL', 'LIM_KR_BA' ] |
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| 58 | dummy = SIZE(sensiti_run) |
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| 59 | nruns = dummy(1) + 1 ; sensitivity runs + 1 control run |
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| 60 | print, 'nruns ', nruns |
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| 61 | |
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| 62 | indir = STRARR(nruns) |
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| 63 | indir(0) = indir_base+control_run+'/' |
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| 64 | FOR i = 1, nruns-1 DO BEGIN |
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| 65 | indir(i) = indir_base+sensiti_run(i-1)+'/' |
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| 66 | ENDFOR |
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| 67 | |
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| 68 | ENDIF |
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| 69 | |
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| 70 | ; |
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| 71 | ;============================================================================== |
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| 72 | ; Graphic Options |
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| 73 | ;============================================================================== |
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| 74 | ; |
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| 75 | |
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| 76 | ;-------------------------------- |
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| 77 | ;--- plot_type dependent options |
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| 78 | ;-------------------------------- |
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| 79 | |
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| 80 | IF ( plot_type EQ 'DEFAULT' ) THEN BEGIN |
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| 81 | |
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| 82 | colors = [ 0, 200 , 100 , 240 , 240 , 120 , 120 ] |
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| 83 | linestyle = [ 0,0 , 0 , 1 , 2 , 2 , 1 ] |
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| 84 | thick = [ 5, 5. , 5.0 , 2.0 , 2.0 , 2.0 , 2.0 ] |
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| 85 | stamp_out = control_run+'_profiles' |
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| 86 | cs = 1.8 ; charsize |
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| 87 | colorkey = 'rd' |
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| 88 | ct = 0 |
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| 89 | !X.MARGIN = [8,3] |
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| 90 | !Y.MARGIN = [3,3] |
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| 91 | x_size = 4. |
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| 92 | y_size = 6. |
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| 93 | add_obs = 'YES' |
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| 94 | |
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| 95 | ENDIF |
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| 96 | |
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| 97 | file_name = stamp_out+'.ps' |
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| 98 | |
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| 99 | numplot_x = 5 ; number of horizontal plots |
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| 100 | numplot_y = 2 ; number of vertical plots |
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| 101 | |
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| 102 | device = 'PS' ; 'PS' or 'X' |
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| 103 | |
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| 104 | ;-------------------------------- |
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| 105 | ;--- define output plots |
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| 106 | ;-------------------------------- |
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| 107 | figuresize_x = numplot_x * x_size ; figure size on x direction |
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| 108 | figuresize_y = numplot_y * y_size ; figure size on y direction |
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| 109 | set_plot, device |
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| 110 | IF ( device EQ 'PS' ) THEN BEGIN |
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| 111 | device, /COLOR, /LANDSCAPE, filename=outdir+file_name, $ |
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| 112 | XSIZE=figuresize_x,YSIZE=figuresize_y,FONT_SIZE=9.0 |
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| 113 | loadct, ct |
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| 114 | ENDIF |
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| 115 | |
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| 116 | IF ( device EQ 'X' ) THEN BEGIN |
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| 117 | xsize = 1200 |
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| 118 | ysize = 800 |
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| 119 | init_graphics_x, xsize, ysize, colorkey |
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| 120 | ENDIF |
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| 121 | |
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| 122 | ; |
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| 123 | ;============================================================================== |
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| 124 | ; EXTRACT DATA |
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| 125 | ;============================================================================== |
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| 126 | ; |
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| 127 | ;open_fields_v6, indir(0), control_run, c_bio_model, $ |
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| 128 | ; numt, doy, ts_d, ts_m, $ |
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| 129 | ; h_i, h_s, z_ip, z_ib, s_i, t_i, e_i, PAR, Ra, $ |
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| 130 | ; dhib, dhisu, dhisi, $ |
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| 131 | ; DAFb, NO3b, PO4b, DSib, chla, $ |
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| 132 | ; DAFt, NO3t, PO4t, DSit, $ |
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| 133 | ; FDAbd, FDAbpos, FDAsi, $ |
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| 134 | ; FNO3, FNO3bpos, FNO3si, $ |
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| 135 | ; syn, lys, rem, $ |
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| 136 | ; lim_lig, lim_no3, lim_po4, lim_dsi, lim_tem, lim_sal |
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| 137 | |
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| 138 | open_fields_v7, indir(0), control_run, c_bio_model, $ |
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| 139 | numt, doy, ts_d, ts_m, $ |
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| 140 | h_i, h_s, z_ip, z_ib, s_i, t_i, e_i, PAR, Ra, $ |
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| 141 | dhib, dhisu, dhisi, $ |
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| 142 | DAFb, NO3b, PO4b, DSib, chla, eoCb, $ |
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| 143 | Argb, Argbub, $ |
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| 144 | Oxyb, Oxybub, $ |
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| 145 | DICb, Alkb, CO2b, CO2bub, $ |
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| 146 | CO2aq, HCO3m, CO32m, pH, pCO2, Ikab, $ |
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| 147 | dFeb, aFeb, eFeb, $ |
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| 148 | DAFt, NO3t, PO4t, DSit, eoCt, Argt, $ |
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| 149 | DICt, Alkt, CO2t, Ikat, $ |
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| 150 | dFet, aFet, eFet, $ |
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| 151 | FDAbd, FDAbpos, FDAsi, $ |
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| 152 | FNO3, FNO3bpos, FNO3si, $ |
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| 153 | FCO2_atm, FCO2_bub, $ |
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| 154 | syn, lys, rem, $ |
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| 155 | lim_lig, lim_no3, lim_po4, lim_dsi, lim_tem, lim_sal |
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| 156 | |
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| 157 | zsize = SIZE(DAFb) |
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| 158 | nlay = zsize(1) ; number of layers |
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| 159 | nts = zsize(2) ; number of time steps |
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| 160 | |
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| 161 | ; |
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| 162 | ;------------------------------------------------------------------------------ |
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| 163 | ; OBS ... |
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| 164 | ;------------------------------------------------------------------------------ |
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| 165 | ; |
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| 166 | |
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| 167 | ; observed normalized profiles from Lannuzel et al. (2007) |
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| 168 | |
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| 169 | N_obs = 9 ; station numbers |
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| 170 | N_dpt = 50 ; number of depths |
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| 171 | |
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| 172 | ; DOY |
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| 173 | doy_obs =[ 263, 279, 292, 299, 306, 312, 318, 327, 355 ] |
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| 174 | |
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| 175 | ; Ice thickness / snow depth |
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| 176 | hi_obs = [ 1.472, 1.609, 1.670, 1.690, 1.708, 1.714, 1.711, 1.677, 1.693 ] |
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| 177 | hi_obs_std = [ 0.023, 0.014, 0.009, 0.011, 0.011, 0.009, 0.016, 0.024, 0.014 ] |
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| 178 | hs_obs = REPLICATE(0.01, 9) |
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| 179 | |
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| 180 | h_chl = [ 1.52, 1.60, 1.69, 1.715, 1.75, 1.72, 1.73, 1.70, 1.70 ] |
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| 181 | h_nut = [ 1.51, 1.60, 1.69, 1.70 , 1.72, 1.735,1.705, 1.70, 1.70 ] |
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| 182 | |
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| 183 | ; Depths |
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| 184 | N_chl = LONARR(N_obs) |
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| 185 | N_chl = [ 15, 16, 17, 18, 18, 18, 18, 17, 17 ] |
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| 186 | |
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| 187 | depth_chl = FLTARR(N_obs, N_dpt) |
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| 188 | |
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| 189 | depth_chl(*,*) = miss_val |
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| 190 | depth_chl[0,0:N_chl(0)-1] = [ 5, 15, 25, 35, 45, 55, 65, 76, 87, 97 , 107 , 117 , 127 , 137 , 147 ] / 100. |
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| 191 | depth_chl[1,0:N_chl(1)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 95 , 105 , 115 , 125 , 135 , 145 , 155 ] / 100. |
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| 192 | depth_chl[2,0:N_chl(2)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 94.5 , 104 , 114 , 124 , 134 , 144 , 154 , 164 ] / 100. |
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| 193 | depth_chl[3,0:N_chl(3)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 90.75, 96.5, 106.5, 116.5, 126.5, 136.5, 146.5, 156.5, 166.5 ] / 100. |
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| 194 | depth_chl[4,0:N_chl(4)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 92.5 , 100 , 110, 120 , 130 , 140 , 150 , 160 , 170 ] / 100. |
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| 195 | depth_chl[5,0:N_chl(5)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 91 , 97 , 107, 117 , 127 , 137 , 147 , 157 , 167 ] / 100. |
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| 196 | depth_chl[6,0:N_chl(6)-1] = [ 5, 15, 25, 35, 45, 55, 65, 65, 75, 85 , 95 , 106.5, 118 , 128 , 138 , 148 , 158 , 168 ] / 100. |
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| 197 | depth_chl[7,0:N_chl(7)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 95 , 105.2, 115.2,125.2, 135.2, 145.2, 155.2, 165.2 ] / 100. |
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| 198 | depth_chl[8,0:N_chl(8)-1] = [ 5, 15, 25, 35, 45, 55, 65, 75, 85, 95 , 105 , 115 , 125 , 135 , 145 , 155 , 165 ] / 100. |
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| 199 | |
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| 200 | ; Chlorophyll |
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| 201 | rhoi = 917. |
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| 202 | rhow = 1020. |
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| 203 | chla_obs = FLTARR(N_obs, N_dpt) |
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| 204 | chla_obs(*,*) = miss_val |
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| 205 | chla_obs[0,0:N_chl(0)-1] = [ 0.14, 0.36, 0.12, 0.03, 0.14, 0.02, 0.01, 0.03, 0.03, 0.02, 0.19, 1.02, 1.03, 0.45, 13.28] |
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| 206 | chla_obs[1,0:N_chl(1)-1] = [ 0.24, 0.04, 0.06, 0.03, 0.15, 0.06, 0.13, 0.16, 0.04, 0.07, 0.26, 0.62, 0.39, 0.49, 2.85, 45.33] |
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| 207 | chla_obs[2,0:N_chl(2)-1] = [ 0.10, 0.08, 0.32, 0.03, 0.19, 0.06, 0.03, 0.03, 0.04, 0.06, 0.26, 0.26, 0.25, 0.27, 1.25, 2.30, 505.99 ] |
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| 208 | chla_obs[3,0:N_chl(3)-1] = [ 0.33, 0.22, 0.97, 0.00, 0.18, 0.08, 0.06, 0.05, 0.01, 0.42, 0.20, 0.32, 0.30, 0.25, 0.18, 0.26, 1.63, 1440.73 ] |
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| 209 | chla_obs[4,0:N_chl(4)-1] = [ 0.11, 0.12, 0.07, 0.06, 0.12, 0.06, 0.06, 0.04, 0.22, 0.13, 0.49, 0.28, 0.24, 0.36, 0.92, 1.11, 1.98, 501.79 ] |
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| 210 | chla_obs[5,0:N_chl(5)-1] = [ 0.75, 0.20, 0.13, 0.05, 0.03, 0.07, 0.03, 0.05, 0.03, 0.06, 0.08, 0.15, 0.10, 0.05, 0.07, 0.11, 0.81, 2443.38 ] |
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| 211 | chla_obs[6,0:N_chl(6)-1] = [ 0.18, 0.16, 0.06, 0.10, 0.08, 0.04, 0.06, 1.31, 0.03, 0.05, 0.25, 0.16, 0.06, 0.14, 0.05, 0.10, 1.39, 2342.79 ] |
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| 212 | chla_obs[7,0:N_chl(7)-1] = [ 0.35, 0.88, 0.86, 0.53, 0.84, 0.44, 0.96, 0.44, 0.30, 0.34, 1.07, 1.69, 6.05, 0.13, 1.68, 1.18, 1203.62 ] |
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| 213 | chla_obs[8,0:N_chl(8)-1] = [ 0.59, 0.29, 0.33, 0.28, 0.16, 0.17, 0.16, 0.11, 0.13, 0.27, 0.19, 0.22, 0.21, 0.63, 0.89, 2.35, 974.83 ] |
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| 214 | |
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| 215 | zaddr = WHERE(chla_obs NE miss_val) |
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| 216 | chla_obs(zaddr) = chla_obs(zaddr) * rhoi / rhow |
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| 217 | |
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| 218 | ; depths for nuts |
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| 219 | N_nut = REPLICATE(6,9) |
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| 220 | depth_nut = FLTARR(N_obs, 6) |
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| 221 | depth_nut[0, 0:N_nut(0)-1] = [ 12.5, 37.5, 65.05, 103.5, 128.5, 146. ] / 100. |
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| 222 | depth_nut[1, 0:N_nut(1)-1] = [ 15, 45 , 75 , 105 , 135 , 155 ] / 100. |
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| 223 | depth_nut[2, 0:N_nut(2)-1] = [ 15, 47 , 79.5 , 111 , 143 , 164 ] / 100. |
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| 224 | depth_nut[3, 0:N_nut(3)-1] = [ 16, 48 , 80 , 112 , 144 , 165 ] / 100. |
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| 225 | depth_nut[4, 0:N_nut(4)-1] = [ 16, 48 , 80.5 , 113.3, 145.8, 167 ] / 100. |
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| 226 | depth_nut[5, 0:N_nut(5)-1] = [16.35, 49.05, 71.75, 114.45, 147.15, 168.5 ] / 100. |
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| 227 | depth_nut[6, 0:N_nut(6)-1] = [16.05, 48.15, 80.25, 112.35, 144.45, 165.5 ] / 100. |
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| 228 | depth_nut[7, 0:N_nut(7)-1] = [ 16, 48, 80, 112, 144, 165 ] / 100. |
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| 229 | depth_nut[8, 0:N_nut(8)-1] = [ 17, 49.75, 85, 112.75, 144.25, 165 ] / 100. |
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| 230 | |
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| 231 | ; Silicates |
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| 232 | dsi_obs = FLTARR(N_obs, 6) |
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| 233 | dsi_obs[0,0:N_nut(0)-1] = [ 20.10, 18.03, miss_val, 12.78, 12.45, 29.98 ] |
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| 234 | dsi_obs[1,0:N_nut(1)-1] = [ 19.81, 15.01, 14.31, 13.83, 9.68, 16.23 ] |
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| 235 | dsi_obs[2,0:N_nut(2)-1] = [ 17.11, 14.42, 12.32, 6.07, 9.14, 28.56 ] |
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| 236 | dsi_obs[3,0:N_nut(3)-1] = [ 17.23, 14.81, 11.90, 9.92, 4.37, 25.08 ] |
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| 237 | dsi_obs[4,0:N_nut(4)-1] = [ 17.07, 14.81, 12.17, 11.07, 3.49, 23.19 ] |
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| 238 | dsi_obs[5,0:N_nut(5)-1] = [ 17.89, 14.10, 12.72, 10.03, 3.10, 24.25 ] |
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| 239 | dsi_obs[6,0:N_nut(6)-1] = [ 19.54, 14.92, 12.94, 10.36, 2.83, 33.80 ] |
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| 240 | dsi_obs[7,0:N_nut(7)-1] = [ 20.80, 13.99, 10.85, 6.29, 1.29, 17.37 ] |
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| 241 | dsi_obs[8,0:N_nut(8)-1] = [ 16.30, 12.89, 9.86, 2.72, 1.18, 9.83 ] |
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| 242 | |
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| 243 | zaddr = WHERE(dsi_obs NE miss_val) |
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| 244 | dsi_obs(zaddr) = dsi_obs(zaddr) * rhoi / rhow |
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| 245 | |
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| 246 | ; NOX |
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| 247 | nox_obs = FLTARR(N_obs, 6) |
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| 248 | nox_obs[0,0:N_nut(0)-1] = [ 10.00, 6.17, 5.80, 5.98, 3.25, 16.10 ] |
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| 249 | nox_obs[1,0:N_nut(1)-1] = [ 7.14, 3.96, 4.59, 2.28, 0.25, 7.45 ] |
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| 250 | nox_obs[2,0:N_nut(2)-1] = [ 8.64, 6.09, 5.04, 1.05, 1.50, 35.72 ] |
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| 251 | nox_obs[3,0:N_nut(3)-1] = [ 8.13, 5.72, 4.67, 0.78, 0.42, 49.64 ] |
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| 252 | nox_obs[4,0:N_nut(4)-1] = [ 8.15, 7.07, 5.23, 0.83, 0.28, 58.91 ] |
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| 253 | nox_obs[5,0:N_nut(5)-1] = [ 5.80, 5.02, 8.02, 1.19, 0.61, 97.09 ] |
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| 254 | nox_obs[6,0:N_nut(6)-1] = [ 8.68, 5.90, 4.79, 0.84, 0.33, 93.78 ] |
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| 255 | nox_obs[7,0:N_nut(7)-1] = [ 7.39, 4.61, 1.40, 0.50, 0.35, 7.94 ] |
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| 256 | nox_obs[8,0:N_nut(8)-1] = [ 2.74, 1.29, 0.44, 0.21, 0.08, 8.54 ] |
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| 257 | |
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| 258 | zaddr = WHERE(nox_obs NE miss_val) |
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| 259 | nox_obs(zaddr) = nox_obs(zaddr) * rhoi / rhow |
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| 260 | |
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| 261 | ; PO4 |
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| 262 | po4_obs = FLTARR(N_obs, 6) |
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| 263 | po4_obs[0,0:N_nut(0)-1] = [ 0.49, 0.38, 0.31, 0.31, 0.29, 0.72 ] |
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| 264 | po4_obs[1,0:N_nut(1)-1] = [ 0.36, 0.24, 0.27, 0.20, 0.15, 1.80 ] |
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| 265 | po4_obs[2,0:N_nut(2)-1] = [ 0.42, 0.31, 0.28, 0.10, 0.23, 8.47 ] |
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| 266 | po4_obs[3,0:N_nut(3)-1] = [ 0.41, 0.28, 0.24, 0.22, 0.14, 16.54 ] |
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| 267 | po4_obs[4,0:N_nut(4)-1] = [ 0.44, 0.33, 0.25, 0.18, 0.11, 22.05 ] |
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| 268 | po4_obs[5,0:N_nut(5)-1] = [ 0.38, 0.33, 0.47, 0.27, 0.16, 37.34 ] |
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| 269 | po4_obs[6,0:N_nut(6)-1] = [ 0.50, 0.34, 0.32, 0.32, 0.19, 35.61 ] |
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| 270 | po4_obs[7,0:N_nut(7)-1] = [ 0.57, 0.38, 0.29, 0.22, 0.16, 9.79 ] |
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| 271 | po4_obs[8,0:N_nut(8)-1] = [ 0.37, 0.21, 0.15, 0.11, 0.11, 10.96 ] |
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| 272 | |
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| 273 | zaddr = WHERE(po4_obs NE miss_val) |
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| 274 | po4_obs(zaddr) = po4_obs(zaddr) * rhoi / rhow |
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| 275 | |
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| 276 | ; physical observations |
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| 277 | |
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| 278 | N_TS = [ 31, 33, 33, 34, 34, 35, 35, 34, 35 ] |
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| 279 | ; depth of TS cores |
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| 280 | depth_TS = FLTARR(N_obs, N_dpt) |
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| 281 | depth_TS(*,*) = miss_val |
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| 282 | |
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| 283 | depth_TS[0,0:N_TS(0)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5 ] / 100. |
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| 284 | depth_TS[1,0:N_TS(1)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 100 , 105 , 110 , 115 , 120, 125, 130, 135, 140, 145, 150, 155, 160 ] / 100. |
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| 285 | depth_TS[2,0:N_TS(2)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 99.5, 104.5, 109.5, 114.5, 119.5, 124.5, 129.5, 134.5, 139.9, 144.5, 149.5, 154.5, 159.5, 164.5 ] / 100. |
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| 286 | depth_TS[3,0:N_TS(3)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5, 157.5, 162.5, 167.5 ] / 100. |
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| 287 | depth_TS[4,0:N_TS(4)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5, 157.5, 162.5, 167.5 ] / 100. |
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| 288 | depth_TS[5,0:N_TS(5)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 94.5, 99.5, 104.5, 109.5, 114.5, 119.5, 124.5, 129.5, 134.5, 139.5, 144.5, 149.5, 154.5, 159.5, 164.5, 169.5 ] / 100. |
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| 289 | depth_TS[6,0:N_TS(6)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5, 157.5, 162.5, 167.5, 172.5 ] / 100. |
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| 290 | depth_TS[7,0:N_TS(7)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5, 157.5, 162.5, 167.5 ] / 100. |
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| 291 | depth_TS[8,0:N_TS(8)-1] = [ 2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5, 102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5, 152.5, 157.5, 162.5, 167.5, 172.5 ] / 100. |
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| 292 | |
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| 293 | h_TS = FLTARR(N_obs) ; We don't have thicknes of TS cores |
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| 294 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
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| 295 | zdh = ( depth_TS(i_obs,N_TS(i_obs)-1) - depth_TS(i_obs,N_TS(i_obs)-2) ) / 2. |
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| 296 | h_TS(i_obs) = depth_TS(i_obs,N_TS(i_obs)-1) + zdh |
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| 297 | ENDFOR |
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| 298 | |
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| 299 | ; T-S |
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| 300 | t_i_obs = FLTARR(N_obs, N_dpt) |
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| 301 | t_i_obs(*,*) = miss_val |
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| 302 | |
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| 303 | t_i_obs[0,0:N_TS(0)-1] = [ -19.8, -18.7, -18.6, -18.2, -17.5, -16.8, -16.4, -16.2, -15.3, -14.7, -14.2, -13.5, -13.1, -12.6, -11.9, -11.5, -12.4, -11.5, -10.8, -10, -9.1, -8.6, -8.1, -7, -5.7, -4.7, -4.4, -3.7, -2.9, -2.4, -2.2 ] |
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| 304 | t_i_obs[1,0:N_TS(1)-1] = [ -12.7, -12.6, -12.8, -12.5, -12.6, -12.2, -12.3, -12.4, -11.9, -11.8, -11.6, -11.1, -10.7, -10.4, -10, -10, -9.9, -9.5, -9.4, -9.3, -8.5, -7.9, -7.3, -6.6, -6.1, -5.5, -5, -4.5, -4.2, -3.6, -2.8, -2.3, -1.9 ] |
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| 305 | t_i_obs[2,0:N_TS(2)-1] = [ -14.6, -14.6, -14.5, -14.1, -13.5, miss_val, -12.6, -11.6, -11.8, -11.5, -11.1, -10.5, -10.2, -9.9, -9.2, -8.9, -8.7, -8.8, -9.1, -6.1, -5.6, -5.2, -4.8, -4.3, -4.2, -4.1, -3.7, -3.6, -3.1, -2.8, -2.4, -1.9, -2 ] |
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| 306 | t_i_obs[3,0:N_TS(3)-1] = [ -12.6, -12.3, -12.2, -11.6, -11.4, -10.9, -10.1, -9.9, -9.6, -9, -8.8, -8.4, -8, -8, -7.9, -7.3, -6.9, -6.4, miss_val, miss_val, -6.2, -5.6, -5, -4.8, -4.5, -3.7, -3.7, -3.2, -2.7, -2.7, -2.6, -1.7, -2.1, -2 ] |
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| 307 | t_i_obs[4,0:N_TS(4)-1] = [ -12.4, -12.9, -12.5, -12.2, -11.8, -11.5, -11.1, -10.5, -10.3, -9.7, -9.2, miss_val, -8.8, -8.2, -8, -7.4, -7.3, -6.7, -6.3, miss_val, -5, -4.6, -4.6, -3.9, -3.6, -3.4, -3.1, -3, -3, -2.5, -2.7, -2.2, -2, -2 ] |
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| 308 | t_i_obs[5,0:N_TS(5)-1] = [ -10.2, -10.1, -10.2, -9.8, -9.4, -9.3, -8.9, miss_val, -8.7, -8.2, -7.8, -7.8, -7.6, -7.2, -6.6, -6.8, -6.4, -6.2, -6.2, miss_val, miss_val, -4.9, -4.6, -4.3, -4, -3.7, miss_val, -3.4, -3.2, -2.8, -2.6, -1.9, -2, -1.8, -2 ] |
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| 309 | t_i_obs[6,0:N_TS(6)-1] = [ -7.6, -8.3, -8.2, -7.7, -7.6, miss_val, -7.1, -6.4, -7, -6.8, -6.8, -6.8, -6.9, -6.8, -6.3, -5.9, miss_val, -5.2, -5, -5, -4.8, -4.5, -4.2, -4, miss_val, -3.7, -3.4, -2.7, -2.7, -2.5, -2, -2, -1.6, -1.6, -1.9 ] |
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| 310 | t_i_obs[7,0:N_TS(7)-1] = [ -4.5, -4.6, -4.7, -4.5, -4.6, miss_val, -4, -3.9, -3.4, -3.4, -3, -3.3, -3.2, -3, -2.7, -2.7, -2.9, -2.4, -2.4, -2.1, -2, -2.3, -1.8, -1.6, -1.7, -1.7, -1.4, -1.1, -1.4, -1.3, -1.4, -0.8, -2, -1.6 ] |
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| 311 | t_i_obs[8,0:N_TS(8)-1] = [ -2.1, -3.3, -3.6, -3.4, -3.1, -3, -3, -2.7, -2.6, miss_val, -2.9, -2.8, -2.2, -1.7, -1.6, -2.3, -1.6, -1.7, -1.7, -1.9, -1.8, -2, -1.8, -1.4, -1.9, -1.4, -1.7, -1.8, miss_val , -1.3, -1, -1, -1.6, miss_val, miss_val ] |
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| 312 | |
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| 313 | ; S-physical core |
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| 314 | s_i_obs = FLTARR(N_obs, N_dpt) |
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| 315 | s_i_obs(*,*) = miss_val |
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| 316 | |
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| 317 | s_i_obs[0,0:N_TS(0)-1] = [ 13, 11.5, 11.3, 9.7, 10.1, 9.5, 8.5, 7.6, 7.1, 6.5, 6.8, 6.2, 6.9, 6.7, 7, 7.6, 6.6, 8.2, 5.6, 4.5, 4.8, 4.8, miss_val, 5.1, 5, 4.8, 4.8, 4.7, 4.7, 5.5, 9.2 ] |
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| 318 | s_i_obs[1,0:N_TS(1)-1] = [ 11.4, 10.1, 10.5, miss_val , 10.5, 8.8, 8, 7.1, 6.5, 6.8, 7.3, 7.2, 6.7, 6.1, 5.9, 5.9, 6, 6.2, 5.7, 5.1, 7.3, 5.9, 6, 6, 5, 4.8, 4.8, 5.7, 5.2, 3.7, 6.2, 7.1, 11 ] |
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| 319 | s_i_obs[2,0:N_TS(2)-1] = [ 11.2, 10.5, 10.1, 9.5, 9.6, 7.5, 7.6, 7.4, 6.7, 6.5, 6.5, 6.5, 6.3, 5.8, 5.7, 5.6, 5.9, 5.3, 5, 5.4, 5.3, 4.9, 4.7, 4.2, 4.1, 4.4, 4.8, 4.4, 4.8, 5.3, 5.5, miss_val, 12.5 ] |
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| 320 | s_i_obs[3,0:N_TS(3)-1] = [ 10.8, 10.9, 10.4, 9.4, 9.7, 8.2, 7.6, 7.1, 6.8, 6.7, 7, 7.2, 6.9, 6, 6.7, 5.9, 5.7, 5.3, 4.9, 5.4, 4.9, 5.2, 5, 4.9, 4.3, 4.6, 4.5, 4.7, 4.7, 5, 5.7, 5.4, 5.8, 13.7 ] |
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| 321 | s_i_obs[4,0:N_TS(4)-1] = [ 10.9, 10.8, 10.1, 9, 9.4, 8.2, 8.1, 7.2, 7.3, 6.5, 6.8, 6.7, 6.7, 6.3, miss_val, 6.5, 6.6, 6.9, 6.6, miss_val, 6.1, 5.5, 5.3, 5.2, 6, 5.7, 5.7, 5.5, 5.1, 5, 5.5, 4.8, 5.5, 12.2 ] |
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| 322 | s_i_obs[5,0:N_TS(5)-1] = [ 10.7, 10.6, 10.3, 9.6, 10.1, 8, 7.7, 7, 6.4, 6.7, 6.8, 7, 6.8, 5.4, 5.7, 5.9, 5.7, 5.4, 5, 4.8, 5.1, 5.1, 5, 4.7, 4.2, 4.1, 4.4, 4.3, 4.2, 4.9, 5.6, 5.7, 5, 5.6, 12 ] |
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| 323 | s_i_obs[6,0:N_TS(6)-1] = [ 11.1, 10.1, 10.4, 10.8, 10.3, 9.4, 8.2, 7, 7, 6.9, 7.3, 7.3, 6.7, 6.2, 6.2, 6.2, 6.5, 6.2, 5.5, 5.1, 5.3, 5.8, 5.7, 5.7, 5.8, 5, 4.7, 4.7, 4.7, 4.7, 5.2, 5.4, 4.8, 5.8, 12.2 ] |
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| 324 | s_i_obs[7,0:N_TS(7)-1] = [ 8.4, 9.5, 9.4, 10.1, 8.8, 7.8, 7.3, 7.3, 6.2, 6.7, 6.5, 6.2, 5.7, 5.7, 5.4, 6.1, 5.2, 4.6, 4.2, 4.3, 4.5, 4.3, 4.2, 3.6, 3.7, 3.5, 3.5, 3.3, 3.9, 4.4, 4.3, 4.7, 10.1, miss_val ] |
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| 325 | s_i_obs[8,0:N_TS(8)-1] = [ 5.4, 6.7, 7.2, 7.6, 8.4, 7.2, 6.9, 6.5, 6.1, 6.2, 5.9, 6.1, 5.8, 4.9, 4.8, 4.7, 4.7, 4.4, 3.9, 3.4, 4.1, 3.7, 4.1, 3.8, 3.3, 3.2, 3.6, 3.1, 3.2, 3.4, 4.1, 5.2, 3.9, 4.1, 9 ] |
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| 326 | |
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| 327 | e_i_obs = FLTARR(N_obs, N_dpt) |
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| 328 | e_i_obs(*,*) = miss_val |
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| 329 | zaddr = where( ( s_i_obs NE miss_val ) AND ( t_i_obs NE miss_val ) ) |
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| 330 | e_i_obs(zaddr) = - 0.054*s_i_obs(zaddr) / t_i_obs(zaddr) |
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| 331 | |
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| 332 | ; brine concentrations |
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| 333 | e_i_nut = FLTARR(N_obs, 6) |
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| 334 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
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| 335 | zei = e_i_obs(i_obs,*) |
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| 336 | zd = depth_TS(i_obs,*) |
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| 337 | zaddr = WHERE(zei NE miss_val) |
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| 338 | zei = zei(zaddr) |
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| 339 | zd = zd(zaddr) / h_TS(i_obs) |
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| 340 | zei_itp = INTERPOL(zei, zd, depth_nut(i_obs,*)/h_nut(i_obs)); interpolate bvf on nutrient depths |
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| 341 | e_i_nut(i_obs,*) = zei_itp |
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| 342 | ENDFOR |
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| 343 | |
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| 344 | ;DEVICE, /CLOSE |
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| 345 | ;SET_PLOT, 'X' |
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| 346 | ;!P.MULTI=[0,5,2] |
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| 347 | ;FOR i_obs = 0, N_obs -1 DO BEGIN |
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| 348 | ; PLOT, [0., 100.], [-2., 0.], /NODATA, charsize = 2 |
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| 349 | ; OPLOT, e_i_obs(i_obs,0:N_TS(i_obs)-1)*100., -depth_TS(i_obs,0:N_TS(i_obs)-1)/h_TS(i_obs), psym = 1 |
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| 350 | ; OPLOT, e_i_nut(i_obs,*)*100., -depth_nut(i_obs,*)/h_nut(i_obs) |
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| 351 | ;ENDFOR |
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| 352 | ;STOP |
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| 353 | |
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| 354 | iaddr = where ( dsi_obs NE miss_val ) |
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| 355 | dsi_br_obs = FLTARR(N_obs, 6) |
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| 356 | dsi_br_obs(iaddr) = dsi_obs(iaddr) / e_i_nut(iaddr) |
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| 357 | |
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| 358 | iaddr = where ( po4_obs NE miss_val ) |
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| 359 | po4_br_obs = FLTARR(N_obs, 6) |
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| 360 | po4_br_obs(iaddr) = po4_obs(iaddr) / e_i_nut(iaddr) |
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| 361 | |
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| 362 | iaddr = where ( nox_obs NE miss_val ) |
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| 363 | nox_br_obs = FLTARR(N_obs, 6) |
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| 364 | nox_br_obs(iaddr) = nox_obs(iaddr) / e_i_nut(iaddr) |
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| 365 | |
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| 366 | ;*** Mean observed Profiles |
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| 367 | ;--- interpolate T, S and e on standard depths --- |
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| 368 | N_std = 30 |
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| 369 | depth_std = FINDGEN(30) / 30.+ 1./60. |
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| 370 | |
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| 371 | t_i_std = FLTARR(N_obs, N_std) |
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| 372 | s_i_std = FLTARR(N_obs, N_std) |
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| 373 | e_i_std = FLTARR(N_obs, N_std) |
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| 374 | chla_std = FLTARR(N_obs, N_std) |
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| 375 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
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| 376 | zt = t_i_obs(i_obs,0:N_TS(i_obs)-1) |
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| 377 | zd = depth_TS(i_obs,0:N_TS(i_obs)-1) |
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| 378 | zaddr = WHERE( zt NE miss_val ) |
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| 379 | zt = zt(zaddr) |
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| 380 | zd = zd(zaddr) / h_TS(i_obs) |
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| 381 | ztstd = INTERPOL( zt, zd, depth_std ) |
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| 382 | t_i_std(i_obs,*) = ztstd(*) |
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| 383 | |
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| 384 | zs = s_i_obs(i_obs,0:N_TS(i_obs)-1) |
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| 385 | zd = depth_TS(i_obs,0:N_TS(i_obs)-1) |
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| 386 | zaddr = WHERE( zs NE miss_val ) |
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| 387 | zs = zs(zaddr) |
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| 388 | zd = zd(zaddr) / h_TS(i_obs) |
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| 389 | zsstd = INTERPOL( zs, zd, depth_std ) |
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| 390 | s_i_std(i_obs,*) = zsstd(*) |
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| 391 | |
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| 392 | ze = e_i_obs(i_obs,0:N_TS(i_obs)-1) |
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| 393 | zd = depth_TS(i_obs,0:N_TS(i_obs)-1) |
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| 394 | zaddr = WHERE( ze NE miss_val ) |
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| 395 | ze = ze(zaddr) |
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| 396 | zd = zd(zaddr) / h_TS(i_obs) |
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| 397 | zestd = INTERPOL( ze, zd, depth_std ) |
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| 398 | e_i_std(i_obs,*) = zestd(*) |
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| 399 | |
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| 400 | zchl = chla_obs(i_obs,0:N_chl(i_obs)-1) |
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| 401 | zd = depth_chl(i_obs,0:N_chl(i_obs)-1) |
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| 402 | zaddr = WHERE( zchl NE miss_val ) |
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| 403 | zchl = zchl(zaddr) |
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| 404 | zd = zd(zaddr) / h_chl(i_obs) |
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| 405 | zchlstd = INTERPOL( zchl, zd, depth_std ) |
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| 406 | chla_std(i_obs,*) = zchlstd(*) |
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| 407 | |
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| 408 | ; s_i_std = ... |
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| 409 | ; e_i_std = ... |
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| 410 | ENDFOR |
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| 411 | |
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| 412 | ;*** |
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| 413 | |
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| 414 | t_i_obs_mean = MEAN( t_i_std, dimension = 1 ) |
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| 415 | t_i_obs_std = STDDEV( t_i_std, dimension = 1 ) |
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| 416 | |
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| 417 | s_i_obs_mean = MEAN( s_i_std, dimension = 1 ) |
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| 418 | s_i_obs_std = STDDEV( s_i_std, dimension = 1 ) |
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| 419 | |
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| 420 | e_i_obs_mean = MEAN( e_i_std, dimension = 1 ) |
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| 421 | e_i_obs_std = STDDEV( e_i_std, dimension = 1 ) |
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| 422 | |
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| 423 | ;depth_obs_mean = MEAN( depth_obs, DIMENSION = 1 ) |
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| 424 | |
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| 425 | chla_obs_mean = MEAN( chla_std , DIMENSION = 1 ) |
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| 426 | chla_obs_std = STDDEV( chla_std, dimension = 1 ) |
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| 427 | |
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| 428 | dsi_obs_mean = FLTARR(N_dpt) & dsi_obs_std = FLTARR(N_dpt) |
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| 429 | nox_obs_mean = FLTARR(N_dpt) & nox_obs_std = FLTARR(N_dpt) |
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| 430 | po4_obs_mean = FLTARR(N_dpt) & po4_obs_std = FLTARR(N_dpt) |
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| 431 | depth_nut_mean = FLTARR(N_dpt) |
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| 432 | depth_nut_std = FLTARR(N_obs,6) |
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| 433 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
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| 434 | depth_nut_std(i_obs,*) = depth_nut(i_obs,*) / h_nut(i_obs) |
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| 435 | ENDFOR |
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| 436 | |
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| 437 | |
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| 438 | FOR i = 0, 5 DO BEGIN |
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| 439 | i_addr = WHERE( dsi_obs(*,i) NE miss_val ) |
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| 440 | dsi_obs_mean(i) = MEAN( dsi_obs(i_addr,i) ) |
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| 441 | dsi_obs_std(i) = STDDEV( dsi_obs(i_addr,i) ) |
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| 442 | nox_obs_mean(i) = MEAN( nox_obs(i_addr,i) ) |
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| 443 | nox_obs_std(i) = STDDEV( nox_obs(i_addr,i) ) |
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| 444 | po4_obs_mean(i) = MEAN( po4_obs(i_addr,i) ) |
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| 445 | po4_obs_std(i) = STDDEV( po4_obs(i_addr,i) ) |
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| 446 | depth_nut_mean(i) = MEAN( depth_nut_std(i_addr,i) ) |
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| 447 | ENDFOR |
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| 448 | |
|---|
| 449 | ;*** Corresponding model mean profiles |
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| 450 | t_i_mod_mean = FLTARR(nlay) & t_i_mod_mean(*) = 0. |
|---|
| 451 | t_i_mod_std = FLTARR(nlay) & t_i_mod_std (*) = 0. |
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| 452 | s_i_mod_mean = FLTARR(nlay) & s_i_mod_mean(*) = 0. |
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| 453 | s_i_mod_std = FLTARR(nlay) & s_i_mod_std (*) = 0. |
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| 454 | e_i_mod_mean = FLTARR(nlay) & e_i_mod_mean(*) = 0. |
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| 455 | e_i_mod_std = FLTARR(nlay) & e_i_mod_std (*) = 0. |
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| 456 | chla_mod_mean = FLTARR(nlay) & chla_mod_mean(*) = 0. |
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| 457 | chla_mod_std = FLTARR(nlay) & chla_mod_std (*) = 0. |
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| 458 | nox_mod_mean = FLTARR(nlay) & nox_mod_mean(*) = 0. |
|---|
| 459 | nox_mod_std = FLTARR(nlay) & nox_mod_std (*) = 0. |
|---|
| 460 | po4_mod_mean = FLTARR(nlay) & po4_mod_mean(*) = 0. |
|---|
| 461 | po4_mod_std = FLTARR(nlay) & po4_mod_std (*) = 0. |
|---|
| 462 | dsi_mod_mean = FLTARR(nlay) & dsi_mod_mean(*) = 0. |
|---|
| 463 | dsi_mod_std = FLTARR(nlay) & dsi_mod_std (*) = 0. |
|---|
| 464 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 465 | |
|---|
| 466 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 467 | i_mod = WHERE(doy EQ doy_obs(i_obs)-1) |
|---|
| 468 | t_i_mod_mean(i) = t_i_mod_mean(i) + t_i(i,i_mod) / FLOAT(N_obs) |
|---|
| 469 | s_i_mod_mean(i) = s_i_mod_mean(i) + s_i(i,i_mod) / FLOAT(N_obs) |
|---|
| 470 | e_i_mod_mean(i) = e_i_mod_mean(i) + e_i(i,i_mod) / FLOAT(N_obs) |
|---|
| 471 | chla_mod_mean(i) = chla_mod_mean(i) + chla(i,i_mod) / FLOAT(N_obs) |
|---|
| 472 | dsi_mod_mean(i) = dsi_mod_mean(i) + dsib(i,i_mod) / FLOAT(N_obs) |
|---|
| 473 | nox_mod_mean(i) = nox_mod_mean(i) + no3b(i,i_mod) / FLOAT(N_obs) |
|---|
| 474 | po4_mod_mean(i) = po4_mod_mean(i) + po4b(i,i_mod) / FLOAT(N_obs) |
|---|
| 475 | ENDFOR |
|---|
| 476 | |
|---|
| 477 | zsum = 0 |
|---|
| 478 | zsum_s = 0 |
|---|
| 479 | zsum_e = 0 |
|---|
| 480 | zsum_c = 0 |
|---|
| 481 | zsum_d = 0 |
|---|
| 482 | zsum_n = 0 |
|---|
| 483 | zsum_p = 0 |
|---|
| 484 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 485 | i_mod = WHERE(doy EQ doy_obs(i_obs)-1) |
|---|
| 486 | zsum = zsum + ( t_i(i,i_mod) - t_i_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 487 | zsum_s = zsum_s + ( s_i(i,i_mod) - s_i_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 488 | zsum_e = zsum_e + ( e_i(i,i_mod) - e_i_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 489 | zsum_c = zsum_c + ( chla(i,i_mod) - chla_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 490 | zsum_d = zsum_d + ( dsib(i,i_mod) - dsi_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 491 | zsum_n = zsum_n + ( no3b(i,i_mod) - nox_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 492 | zsum_p = zsum_p + ( po4b(i,i_mod) - po4_mod_mean(i) ) ^2 / FLOAT(N_obs) |
|---|
| 493 | ENDFOR |
|---|
| 494 | t_i_mod_std(i) = SQRT( zsum ) |
|---|
| 495 | s_i_mod_std(i) = SQRT( zsum_s ) |
|---|
| 496 | e_i_mod_std(i) = SQRT( zsum_e ) |
|---|
| 497 | chla_mod_std(i) = SQRT( zsum_c ) |
|---|
| 498 | nox_mod_std(i) = SQRT( zsum_n ) |
|---|
| 499 | po4_mod_std(i) = SQRT( zsum_p ) |
|---|
| 500 | dsi_mod_std(i) = SQRT( zsum_d ) |
|---|
| 501 | |
|---|
| 502 | ENDFOR |
|---|
| 503 | |
|---|
| 504 | ;------- |
|---|
| 505 | |
|---|
| 506 | |
|---|
| 507 | ; |
|---|
| 508 | ;============================================================================== |
|---|
| 509 | ; DIAGNOSTICS |
|---|
| 510 | ;============================================================================== |
|---|
| 511 | ; |
|---|
| 512 | phi=findgen(32)*(!PI*2/32.) |
|---|
| 513 | phi = [ phi, phi(0) ] |
|---|
| 514 | usersym, cos(phi), sin(phi), /fill |
|---|
| 515 | |
|---|
| 516 | ; |
|---|
| 517 | ;============================================================================== |
|---|
| 518 | ; PLOTS |
|---|
| 519 | ;============================================================================== |
|---|
| 520 | ; |
|---|
| 521 | ; |
|---|
| 522 | ;============================================================================== |
|---|
| 523 | ; Time series of profiles |
|---|
| 524 | ;============================================================================== |
|---|
| 525 | ; |
|---|
| 526 | ;--------- |
|---|
| 527 | ;--- T --- |
|---|
| 528 | ;--------- |
|---|
| 529 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 530 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 531 | |
|---|
| 532 | ; prepare plot |
|---|
| 533 | LOADCT, 0 |
|---|
| 534 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 535 | PLOT, [ -20, 0. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'deg C', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 536 | XYOUTS, -5, -0.1, ztitle |
|---|
| 537 | |
|---|
| 538 | ; add obs |
|---|
| 539 | OPLOT, t_i_obs(i_obs,*), - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 540 | |
|---|
| 541 | ; add model |
|---|
| 542 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 543 | zz = FLTARR(nlay) |
|---|
| 544 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 545 | zz(i) = z_ip(i,i_mod) / h_i(i_mod) |
|---|
| 546 | ENDFOR |
|---|
| 547 | LOADCT, 3 |
|---|
| 548 | OPLOT, t_i(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 549 | |
|---|
| 550 | ENDFOR |
|---|
| 551 | |
|---|
| 552 | |
|---|
| 553 | ;--------- |
|---|
| 554 | ;--- S |
|---|
| 555 | ;--------- |
|---|
| 556 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 557 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 558 | |
|---|
| 559 | ; prepare plot |
|---|
| 560 | LOADCT, 0 |
|---|
| 561 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 562 | PLOT, [0., 15. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'g/kg', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 563 | XYOUTS, 7., -0.1, ztitle |
|---|
| 564 | |
|---|
| 565 | ; add obs |
|---|
| 566 | OPLOT, s_i_obs(i_obs,*), - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 567 | |
|---|
| 568 | ; add model |
|---|
| 569 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 570 | zz = FLTARR(nlay) |
|---|
| 571 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 572 | zz(i) = z_ip(i,i_mod) / h_i(i_mod) |
|---|
| 573 | ENDFOR |
|---|
| 574 | LOADCT, 3 |
|---|
| 575 | OPLOT, s_i(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 576 | |
|---|
| 577 | ENDFOR |
|---|
| 578 | |
|---|
| 579 | |
|---|
| 580 | ;--------- |
|---|
| 581 | ;--- e |
|---|
| 582 | ;--------- |
|---|
| 583 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 584 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 585 | |
|---|
| 586 | ; prepare plot |
|---|
| 587 | LOADCT, 0 |
|---|
| 588 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 589 | PLOT, [0., 50. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = '%', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 590 | XYOUTS, 15., -0.1, ztitle |
|---|
| 591 | |
|---|
| 592 | ; add obs |
|---|
| 593 | OPLOT, e_i_obs(i_obs,*)*100., - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 594 | |
|---|
| 595 | ; add model |
|---|
| 596 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 597 | zz = FLTARR(nlay) |
|---|
| 598 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 599 | zz(i) = z_ip(i,i_mod) / h_i(i_mod) |
|---|
| 600 | ENDFOR |
|---|
| 601 | LOADCT, 3 |
|---|
| 602 | OPLOT, e_i(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 603 | |
|---|
| 604 | ENDFOR |
|---|
| 605 | |
|---|
| 606 | |
|---|
| 607 | ;-------------- |
|---|
| 608 | ;--- chla |
|---|
| 609 | ;-------------- |
|---|
| 610 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 611 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 612 | |
|---|
| 613 | ; prepare plot |
|---|
| 614 | LOADCT, 0 |
|---|
| 615 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 616 | PLOT, [ 0.01, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mg chla / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 617 | XYOUTS, 27., -0.1, ztitle |
|---|
| 618 | |
|---|
| 619 | ; add model |
|---|
| 620 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 621 | zz = FLTARR(nlay) |
|---|
| 622 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 623 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 624 | ENDFOR |
|---|
| 625 | LOADCT, 9 |
|---|
| 626 | OPLOT, chla(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 627 | |
|---|
| 628 | ; add obs |
|---|
| 629 | zchlaobs = chla_obs(i_obs,0:N_chl(i_obs)-1) |
|---|
| 630 | zz_obs = depth_chl(i_obs,0:N_chl(i_obs)-1) / h_chl(i_obs) |
|---|
| 631 | zchla_obs2mod = INTERPOL( zchlaobs, zz_obs,zz ) |
|---|
| 632 | OPLOT, zchla_obs2mod, -zz, PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 633 | ; print, zchla_obs2mod |
|---|
| 634 | |
|---|
| 635 | ENDFOR |
|---|
| 636 | |
|---|
| 637 | |
|---|
| 638 | ;------------ |
|---|
| 639 | ;--- nox |
|---|
| 640 | ;------------ |
|---|
| 641 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 642 | |
|---|
| 643 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 644 | |
|---|
| 645 | ; prepare plot |
|---|
| 646 | LOADCT, 0 |
|---|
| 647 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 648 | PLOT, [ 0.00, 12. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 649 | XYOUTS, 2.2, -0.3, ztitle |
|---|
| 650 | |
|---|
| 651 | ; add obs |
|---|
| 652 | OPLOT, nox_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 653 | |
|---|
| 654 | ; add model |
|---|
| 655 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 656 | zz = FLTARR(nlay) |
|---|
| 657 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 658 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 659 | ENDFOR |
|---|
| 660 | LOADCT, 9 |
|---|
| 661 | OPLOT, no3b(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 662 | |
|---|
| 663 | PRINT, ' i_mod : ', i_mod |
|---|
| 664 | PRINT, ' NO3b : ', no3b(*,i_mod) |
|---|
| 665 | |
|---|
| 666 | ENDFOR |
|---|
| 667 | |
|---|
| 668 | |
|---|
| 669 | ;------------- |
|---|
| 670 | ;--- po4 |
|---|
| 671 | ;------------- |
|---|
| 672 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 673 | |
|---|
| 674 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 675 | |
|---|
| 676 | ; prepare plot |
|---|
| 677 | LOADCT, 0 |
|---|
| 678 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 679 | PLOT, [ 0.00, 4.0 ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2 |
|---|
| 680 | XYOUTS, 0.37, -0.3, ztitle |
|---|
| 681 | |
|---|
| 682 | ; add obs |
|---|
| 683 | OPLOT, po4_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs) , PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 684 | |
|---|
| 685 | ; add model |
|---|
| 686 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 687 | zz = FLTARR(nlay) |
|---|
| 688 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 689 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 690 | ENDFOR |
|---|
| 691 | LOADCT, 9 |
|---|
| 692 | OPLOT, po4b(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 693 | |
|---|
| 694 | ENDFOR |
|---|
| 695 | |
|---|
| 696 | |
|---|
| 697 | |
|---|
| 698 | ;-------------- |
|---|
| 699 | ;--- DSi |
|---|
| 700 | ;-------------- |
|---|
| 701 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 702 | |
|---|
| 703 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 704 | |
|---|
| 705 | ; prepare plot |
|---|
| 706 | LOADCT, 0 |
|---|
| 707 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 708 | PLOT, [ 0.00, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol Si / m3', XTICKFORMAT='(F4.1)', XMINOR = 2, YMINOR = 2 |
|---|
| 709 | XYOUTS, 3.0, -0.15, ztitle |
|---|
| 710 | |
|---|
| 711 | ; add obs |
|---|
| 712 | OPLOT, dsi_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 713 | |
|---|
| 714 | ; add model |
|---|
| 715 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 716 | zz = FLTARR(nlay) |
|---|
| 717 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 718 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 719 | ENDFOR |
|---|
| 720 | LOADCT, 9 |
|---|
| 721 | OPLOT, dsib(*,i_mod), -zz, THICK = 3, COLOR = 150 |
|---|
| 722 | |
|---|
| 723 | ENDFOR |
|---|
| 724 | |
|---|
| 725 | ; |
|---|
| 726 | ;============================================================================== |
|---|
| 727 | ; Time series of profiles, brine concentrations |
|---|
| 728 | ;============================================================================== |
|---|
| 729 | ; |
|---|
| 730 | |
|---|
| 731 | ;--- nox_br |
|---|
| 732 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 733 | |
|---|
| 734 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 735 | |
|---|
| 736 | ; prepare plot |
|---|
| 737 | LOADCT, 0 |
|---|
| 738 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 739 | PLOT, [ 0., 300. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 740 | XYOUTS, 20.0, -0.15, ztitle |
|---|
| 741 | |
|---|
| 742 | ; add obs |
|---|
| 743 | OPLOT, nox_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 744 | |
|---|
| 745 | ; add model |
|---|
| 746 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 747 | zz = FLTARR(nlay) |
|---|
| 748 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 749 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 750 | ENDFOR |
|---|
| 751 | LOADCT, 9 |
|---|
| 752 | OPLOT, no3b(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 |
|---|
| 753 | LOADCT, 1 |
|---|
| 754 | |
|---|
| 755 | OPLOT, [ 1.6, 1.6 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 |
|---|
| 756 | |
|---|
| 757 | ENDFOR |
|---|
| 758 | |
|---|
| 759 | ;--- po4_br |
|---|
| 760 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 761 | |
|---|
| 762 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 763 | |
|---|
| 764 | ; prepare plot |
|---|
| 765 | LOADCT, 0 |
|---|
| 766 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 767 | PLOT, [ 0.0, 15. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, $ |
|---|
| 768 | SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I3)', XMINOR = 2, XTICKS = 3 , YMINOR = 2 |
|---|
| 769 | XYOUTS, 10., -0.15, ztitle |
|---|
| 770 | |
|---|
| 771 | ; add obs |
|---|
| 772 | OPLOT, po4_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 773 | |
|---|
| 774 | ; add model |
|---|
| 775 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 776 | zz = FLTARR(nlay) |
|---|
| 777 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 778 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 779 | ENDFOR |
|---|
| 780 | LOADCT, 9 |
|---|
| 781 | OPLOT, po4b(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 |
|---|
| 782 | LOADCT, 1 |
|---|
| 783 | |
|---|
| 784 | OPLOT, [ 0.24, 0.24 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 |
|---|
| 785 | |
|---|
| 786 | ENDFOR |
|---|
| 787 | |
|---|
| 788 | ;--- dsi_br |
|---|
| 789 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 790 | |
|---|
| 791 | FOR i_obs = 0, N_obs - 1 DO BEGIN |
|---|
| 792 | |
|---|
| 793 | ; prepare plot |
|---|
| 794 | LOADCT, 0 |
|---|
| 795 | ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) |
|---|
| 796 | PLOT, [ 0., 750. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol Si / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 |
|---|
| 797 | XYOUTS, 20.0, -0.15, ztitle |
|---|
| 798 | |
|---|
| 799 | ; add obs |
|---|
| 800 | OPLOT, dsi_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 |
|---|
| 801 | |
|---|
| 802 | ; add model |
|---|
| 803 | i_mod = WHERE(doy EQ doy_obs(i_obs)) |
|---|
| 804 | zz = FLTARR(nlay) |
|---|
| 805 | FOR i = 0, nlay - 1 DO BEGIN |
|---|
| 806 | zz(i) = z_ib(i,i_mod) / h_i(i_mod) |
|---|
| 807 | ENDFOR |
|---|
| 808 | LOADCT, 9 |
|---|
| 809 | OPLOT, dsib(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 |
|---|
| 810 | LOADCT, 1 |
|---|
| 811 | |
|---|
| 812 | OPLOT, [ 3.90, 3.90 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 |
|---|
| 813 | |
|---|
| 814 | ENDFOR |
|---|
| 815 | |
|---|
| 816 | ; |
|---|
| 817 | ;============================================================================== |
|---|
| 818 | ; Mean profiles |
|---|
| 819 | ;============================================================================== |
|---|
| 820 | ; |
|---|
| 821 | !P.MULTI=[0,numplot_x, numplot_y] |
|---|
| 822 | |
|---|
| 823 | ;--- T --- |
|---|
| 824 | |
|---|
| 825 | ; prepare plot |
|---|
| 826 | LOADCT, 0 |
|---|
| 827 | ztitle = "Mean T" |
|---|
| 828 | PLOT, [ -20., 0. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'deg C', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 829 | |
|---|
| 830 | ; add obs |
|---|
| 831 | OPLOT, t_i_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 832 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 833 | OPLOT, [ t_i_obs_mean(i) - t_i_obs_std(i), t_i_obs_mean(i) + t_i_obs_std(i) ], $ |
|---|
| 834 | [ -depth_std(i), -depth_std(i) ] |
|---|
| 835 | ENDFOR |
|---|
| 836 | LOADCT, 3 |
|---|
| 837 | OPLOT, t_i_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 838 | LOADCT, 0 |
|---|
| 839 | OPLOT, t_i_mod_mean+t_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 840 | OPLOT, t_i_mod_mean-t_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 841 | |
|---|
| 842 | ;--- S --- |
|---|
| 843 | |
|---|
| 844 | ; prepare plot |
|---|
| 845 | LOADCT, 0 |
|---|
| 846 | ztitle = "Mean S" |
|---|
| 847 | PLOT, [0., 12. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'g/kg', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 848 | |
|---|
| 849 | ; add obs |
|---|
| 850 | OPLOT, s_i_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 851 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 852 | OPLOT, [ s_i_obs_mean(i) - s_i_obs_std(i), s_i_obs_mean(i) + s_i_obs_std(i) ], $ |
|---|
| 853 | [ -depth_std(i), -depth_std(i) ] |
|---|
| 854 | ENDFOR |
|---|
| 855 | |
|---|
| 856 | ; add model |
|---|
| 857 | LOADCT, 3 |
|---|
| 858 | OPLOT, s_i_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 859 | LOADCT, 0 |
|---|
| 860 | OPLOT, s_i_mod_mean+s_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 861 | OPLOT, s_i_mod_mean-s_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 862 | |
|---|
| 863 | ;--- e --- |
|---|
| 864 | |
|---|
| 865 | ; prepare plot |
|---|
| 866 | LOADCT, 0 |
|---|
| 867 | ztitle = "Mean e" |
|---|
| 868 | PLOT, [0., 50. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = '%', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 869 | |
|---|
| 870 | ; add obs |
|---|
| 871 | OPLOT, e_i_obs_mean*100., - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 872 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 873 | OPLOT, [ e_i_obs_mean(i) - e_i_obs_std(i), e_i_obs_mean(i) + e_i_obs_std(i) ] * 100., $ |
|---|
| 874 | [ -depth_std(i), -depth_std(i) ] |
|---|
| 875 | ENDFOR |
|---|
| 876 | |
|---|
| 877 | ; add model |
|---|
| 878 | LOADCT, 3 |
|---|
| 879 | OPLOT, e_i_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 880 | LOADCT, 0 |
|---|
| 881 | OPLOT, e_i_mod_mean+e_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 882 | OPLOT, e_i_mod_mean-e_i_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 883 | |
|---|
| 884 | |
|---|
| 885 | |
|---|
| 886 | ;--- chl-a --- |
|---|
| 887 | |
|---|
| 888 | ; prepare plot |
|---|
| 889 | LOADCT, 0 |
|---|
| 890 | ztitle = "Mean chla" |
|---|
| 891 | PLOT, [ 0.01, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mg chla / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 892 | ; add obs |
|---|
| 893 | OPLOT, chla_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 894 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 895 | OPLOT, [ chla_obs_mean(i) - chla_obs_std(i), chla_obs_mean(i) + chla_obs_std(i) ], $ |
|---|
| 896 | [ -depth_std(i), -depth_std(i) ] |
|---|
| 897 | ENDFOR |
|---|
| 898 | ; plot seawater value |
|---|
| 899 | LOADCT, 1 |
|---|
| 900 | OPLOT, [ 0.08 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 |
|---|
| 901 | |
|---|
| 902 | ; add model |
|---|
| 903 | LOADCT, 9 |
|---|
| 904 | OPLOT, chla_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 905 | LOADCT, 0 |
|---|
| 906 | OPLOT, chla_mod_mean+chla_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 907 | OPLOT, chla_mod_mean-chla_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 908 | |
|---|
| 909 | ;--- NOX --- |
|---|
| 910 | |
|---|
| 911 | ; prepare plot |
|---|
| 912 | LOADCT, 0 |
|---|
| 913 | ztitle = "Mean NOX" |
|---|
| 914 | PLOT, [ 0.00, 35. ], [ -1.0, 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 915 | ; add obs |
|---|
| 916 | OPLOT, nox_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 917 | FOR i = 0, 5 DO BEGIN |
|---|
| 918 | OPLOT, [ nox_obs_mean(i) - nox_obs_std(i), nox_obs_mean(i) + nox_obs_std(i) ], $ |
|---|
| 919 | [ -depth_nut_mean(i), -depth_nut_mean(i) ] |
|---|
| 920 | ENDFOR |
|---|
| 921 | |
|---|
| 922 | ; plot seawater value |
|---|
| 923 | LOADCT, 1 |
|---|
| 924 | OPLOT, [ 31.16 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 |
|---|
| 925 | |
|---|
| 926 | ; add model |
|---|
| 927 | LOADCT, 9 |
|---|
| 928 | OPLOT, nox_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 929 | LOADCT, 0 |
|---|
| 930 | OPLOT, nox_mod_mean+nox_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 931 | OPLOT, nox_mod_mean-nox_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 932 | |
|---|
| 933 | ;--- PO4 --- |
|---|
| 934 | |
|---|
| 935 | ; prepare plot |
|---|
| 936 | LOADCT, 0 |
|---|
| 937 | ztitle = "Mean PO4" |
|---|
| 938 | PLOT, [ 0.00, 4.0 ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 939 | ; add obs |
|---|
| 940 | OPLOT, po4_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 941 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 942 | OPLOT, [ po4_obs_mean(i) - po4_obs_std(i), po4_obs_mean(i) + po4_obs_std(i) ], $ |
|---|
| 943 | [ -depth_nut_mean(i), -depth_nut_mean(i) ] |
|---|
| 944 | ENDFOR |
|---|
| 945 | |
|---|
| 946 | ; plot seawater value |
|---|
| 947 | LOADCT, 1 |
|---|
| 948 | OPLOT, [ 2.05 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 |
|---|
| 949 | |
|---|
| 950 | ; add model |
|---|
| 951 | LOADCT, 9 |
|---|
| 952 | OPLOT, po4_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 953 | LOADCT, 0 |
|---|
| 954 | OPLOT, po4_mod_mean+po4_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 955 | OPLOT, po4_mod_mean-po4_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 956 | |
|---|
| 957 | ;--- DSi --- |
|---|
| 958 | |
|---|
| 959 | ; prepare plot |
|---|
| 960 | LOADCT, 0 |
|---|
| 961 | ztitle = "Mean DSi" |
|---|
| 962 | PLOT, [ 0.00, 90. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2, TITLE = ztitle |
|---|
| 963 | ; add obs |
|---|
| 964 | OPLOT, dsi_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 |
|---|
| 965 | FOR i = 0, N_std - 1 DO BEGIN |
|---|
| 966 | OPLOT, [ dsi_obs_mean(i) - dsi_obs_std(i), dsi_obs_mean(i) + dsi_obs_std(i) ], $ |
|---|
| 967 | [ -depth_nut_mean(i), -depth_nut_mean(i) ] |
|---|
| 968 | ENDFOR |
|---|
| 969 | |
|---|
| 970 | ; plot seawater value |
|---|
| 971 | LOADCT, 1 |
|---|
| 972 | OPLOT, [ 84.35 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 |
|---|
| 973 | |
|---|
| 974 | ; add model |
|---|
| 975 | LOADCT, 9 |
|---|
| 976 | OPLOT, dsi_mod_mean, -zz, THICK = 3, COLOR = 150 |
|---|
| 977 | LOADCT, 0 |
|---|
| 978 | OPLOT, dsi_mod_mean+dsi_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 979 | OPLOT, dsi_mod_mean-dsi_mod_std, -zz, THICK = 1, COLOR = 150 |
|---|
| 980 | |
|---|
| 981 | ; |
|---|
| 982 | ;============================================================================== |
|---|
| 983 | ; End of the script |
|---|
| 984 | ;============================================================================== |
|---|
| 985 | ; |
|---|
| 986 | IF ( device EQ 'PS' ) THEN BEGIN |
|---|
| 987 | DEVICE, /CLOSE |
|---|
| 988 | SET_PLOT, "X" |
|---|
| 989 | !P.MULTI=[0,2,2] |
|---|
| 990 | ENDIF |
|---|
| 991 | |
|---|
| 992 | END |
|---|
| 993 | |
|---|
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