; ;------------------------------------------------------------------------------ ; ; This script makes plots of biological simulations ; ; (c) Martin Vancoppenolle, UCL-ASTR, june 2007 ; reviewed may 2008 ; reviewed feb 2010, for biological model ; reviewed aug 2014, helsinki ; reviewed nov 2015, helsinki ; ;-------------------- ;--- YROSIAE site --- ;-------------------- ; ;------------------------------------------------------------------------------ ; miss_val = -9999. i_auto = 1 ; 1=use exp_id.dat; 2=use manual mode with sensitivity runs plot_type = 'DEFAULT' ; ; ;============================================================================== ; General Options ;============================================================================== ; IF ( i_auto EQ 1 ) THEN BEGIN ; automatic mode nruns = 1 control_run = 'E001' & indir = '' & outdir = '' & dt = 86400 & c_bio_model = 'BFMSI' & site = 'TOURNAI' OPENR, 11, 'exp_id.dat' READF, 11, control_run & READF, 11, indir & READF, 11, outdir READF, 11, dt & READF, 11, c_bio_model & READF, 11, site CLOSE, 11 PRINT, control_run PRINT, indir PRINT, outdir PRINT, dt PRINT, c_bio_model PRINT, site ENDIF ;------------- ; Manual mode ;------------- IF ( i_auto EQ 0 ) THEN BEGIN indir_base = '/Users/ioulianikolskaia/Boulot/CODES/BFMLIM_2013/BFM-LIM-2506_2014/LIM/RUN/' outdir = '/Users/ioulianikolskaia/Boulot/SCIENCE/PLOT_SCRIPTS/LIM1D_BIO/IDL/plots/' dt = 3600. ; time step control_run = 'LIM_KR_ML' sensiti_run = [ ] ; sensiti_run = [ 'LIM_KR_SL', 'LIM_KR_BA' ] dummy = SIZE(sensiti_run) nruns = dummy(1) + 1 ; sensitivity runs + 1 control run print, 'nruns ', nruns indir = STRARR(nruns) indir(0) = indir_base+control_run+'/' FOR i = 1, nruns-1 DO BEGIN indir(i) = indir_base+sensiti_run(i-1)+'/' ENDFOR ENDIF ; ;============================================================================== ; Graphic Options ;============================================================================== ; ;-------------------------------- ;--- plot_type dependent options ;-------------------------------- IF ( plot_type EQ 'DEFAULT' ) THEN BEGIN colors = [ 0, 200 , 100 , 240 , 240 , 120 , 120 ] linestyle = [ 0,0 , 0 , 1 , 2 , 2 , 1 ] thick = [ 5, 5. , 5.0 , 2.0 , 2.0 , 2.0 , 2.0 ] stamp_out = control_run+'_profiles' cs = 1.8 ; charsize colorkey = 'rd' ct = 0 !X.MARGIN = [8,3] !Y.MARGIN = [3,3] x_size = 4. y_size = 6. add_obs = 'YES' ENDIF file_name = stamp_out+'.ps' numplot_x = 5 ; number of horizontal plots numplot_y = 2 ; number of vertical plots device = 'PS' ; 'PS' or 'X' ;-------------------------------- ;--- define output plots ;-------------------------------- figuresize_x = numplot_x * x_size ; figure size on x direction figuresize_y = numplot_y * y_size ; figure size on y direction set_plot, device IF ( device EQ 'PS' ) THEN BEGIN device, /COLOR, /LANDSCAPE, filename=outdir+file_name, $ XSIZE=figuresize_x,YSIZE=figuresize_y,FONT_SIZE=9.0 loadct, ct ENDIF IF ( device EQ 'X' ) THEN BEGIN xsize = 1200 ysize = 800 init_graphics_x, xsize, ysize, colorkey ENDIF ; ;============================================================================== ; EXTRACT DATA ;============================================================================== ; ;open_fields_v6, indir(0), control_run, c_bio_model, $ ; numt, doy, ts_d, ts_m, $ ; h_i, h_s, z_ip, z_ib, s_i, t_i, e_i, PAR, Ra, $ ; dhib, dhisu, dhisi, $ ; DAFb, NO3b, PO4b, DSib, chla, $ ; DAFt, NO3t, PO4t, DSit, $ ; FDAbd, FDAbpos, FDAsi, $ ; FNO3, FNO3bpos, FNO3si, $ ; syn, lys, rem, $ ; lim_lig, lim_no3, lim_po4, lim_dsi, lim_tem, lim_sal open_fields_v7, indir(0), control_run, c_bio_model, $ numt, doy, ts_d, ts_m, $ h_i, h_s, z_ip, z_ib, s_i, t_i, e_i, PAR, Ra, $ dhib, dhisu, dhisi, $ DAFb, NO3b, PO4b, DSib, chla, eoCb, $ Argb, Argbub, $ Oxyb, Oxybub, $ DICb, Alkb, CO2b, CO2bub, $ CO2aq, HCO3m, CO32m, pH, pCO2, Ikab, $ dFeb, aFeb, eFeb, $ DAFt, NO3t, PO4t, DSit, eoCt, Argt, $ DICt, Alkt, CO2t, Ikat, $ dFet, aFet, eFet, $ FDAbd, FDAbpos, FDAsi, $ FNO3, FNO3bpos, FNO3si, $ FCO2_atm, FCO2_bub, $ syn, lys, rem, $ lim_lig, lim_no3, lim_po4, lim_dsi, lim_tem, lim_sal zsize = SIZE(DAFb) nlay = zsize(1) ; number of layers nts = zsize(2) ; number of time steps ; ;------------------------------------------------------------------------------ ; OBS ... ;------------------------------------------------------------------------------ ; ; observed normalized profiles from Lannuzel et al. (2007) N_obs = 9 ; station numbers N_dpt = 50 ; number of depths ; DOY doy_obs =[ 263, 279, 292, 299, 306, 312, 318, 327, 355 ] ; Ice thickness / snow depth hi_obs = [ 1.472, 1.609, 1.670, 1.690, 1.708, 1.714, 1.711, 1.677, 1.693 ] hi_obs_std = [ 0.023, 0.014, 0.009, 0.011, 0.011, 0.009, 0.016, 0.024, 0.014 ] hs_obs = REPLICATE(0.01, 9) h_chl = [ 1.52, 1.60, 1.69, 1.715, 1.75, 1.72, 1.73, 1.70, 1.70 ] h_nut = [ 1.51, 1.60, 1.69, 1.70 , 1.72, 1.735,1.705, 1.70, 1.70 ] ; Depths N_chl = LONARR(N_obs) N_chl = [ 15, 16, 17, 18, 18, 18, 18, 17, 17 ] depth_chl = FLTARR(N_obs, N_dpt) depth_chl(*,*) = miss_val depth_chl[0,0:N_chl(0)-1] = [ 5, 15, 25, 35, 45, 55, 65, 76, 87, 97 , 107 , 117 , 127 , 137 , 147 ] / 100. 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. 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. 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. 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. 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. 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. 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. 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. ; Chlorophyll rhoi = 917. rhow = 1020. chla_obs = FLTARR(N_obs, N_dpt) chla_obs(*,*) = miss_val 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] 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] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] zaddr = WHERE(chla_obs NE miss_val) chla_obs(zaddr) = chla_obs(zaddr) * rhoi / rhow ; depths for nuts N_nut = REPLICATE(6,9) depth_nut = FLTARR(N_obs, 6) depth_nut[0, 0:N_nut(0)-1] = [ 12.5, 37.5, 65.05, 103.5, 128.5, 146. ] / 100. depth_nut[1, 0:N_nut(1)-1] = [ 15, 45 , 75 , 105 , 135 , 155 ] / 100. depth_nut[2, 0:N_nut(2)-1] = [ 15, 47 , 79.5 , 111 , 143 , 164 ] / 100. depth_nut[3, 0:N_nut(3)-1] = [ 16, 48 , 80 , 112 , 144 , 165 ] / 100. depth_nut[4, 0:N_nut(4)-1] = [ 16, 48 , 80.5 , 113.3, 145.8, 167 ] / 100. depth_nut[5, 0:N_nut(5)-1] = [16.35, 49.05, 71.75, 114.45, 147.15, 168.5 ] / 100. depth_nut[6, 0:N_nut(6)-1] = [16.05, 48.15, 80.25, 112.35, 144.45, 165.5 ] / 100. depth_nut[7, 0:N_nut(7)-1] = [ 16, 48, 80, 112, 144, 165 ] / 100. depth_nut[8, 0:N_nut(8)-1] = [ 17, 49.75, 85, 112.75, 144.25, 165 ] / 100. ; Silicates dsi_obs = FLTARR(N_obs, 6) dsi_obs[0,0:N_nut(0)-1] = [ 20.10, 18.03, miss_val, 12.78, 12.45, 29.98 ] dsi_obs[1,0:N_nut(1)-1] = [ 19.81, 15.01, 14.31, 13.83, 9.68, 16.23 ] dsi_obs[2,0:N_nut(2)-1] = [ 17.11, 14.42, 12.32, 6.07, 9.14, 28.56 ] dsi_obs[3,0:N_nut(3)-1] = [ 17.23, 14.81, 11.90, 9.92, 4.37, 25.08 ] dsi_obs[4,0:N_nut(4)-1] = [ 17.07, 14.81, 12.17, 11.07, 3.49, 23.19 ] dsi_obs[5,0:N_nut(5)-1] = [ 17.89, 14.10, 12.72, 10.03, 3.10, 24.25 ] dsi_obs[6,0:N_nut(6)-1] = [ 19.54, 14.92, 12.94, 10.36, 2.83, 33.80 ] dsi_obs[7,0:N_nut(7)-1] = [ 20.80, 13.99, 10.85, 6.29, 1.29, 17.37 ] dsi_obs[8,0:N_nut(8)-1] = [ 16.30, 12.89, 9.86, 2.72, 1.18, 9.83 ] zaddr = WHERE(dsi_obs NE miss_val) dsi_obs(zaddr) = dsi_obs(zaddr) * rhoi / rhow ; NOX nox_obs = FLTARR(N_obs, 6) nox_obs[0,0:N_nut(0)-1] = [ 10.00, 6.17, 5.80, 5.98, 3.25, 16.10 ] nox_obs[1,0:N_nut(1)-1] = [ 7.14, 3.96, 4.59, 2.28, 0.25, 7.45 ] nox_obs[2,0:N_nut(2)-1] = [ 8.64, 6.09, 5.04, 1.05, 1.50, 35.72 ] nox_obs[3,0:N_nut(3)-1] = [ 8.13, 5.72, 4.67, 0.78, 0.42, 49.64 ] nox_obs[4,0:N_nut(4)-1] = [ 8.15, 7.07, 5.23, 0.83, 0.28, 58.91 ] nox_obs[5,0:N_nut(5)-1] = [ 5.80, 5.02, 8.02, 1.19, 0.61, 97.09 ] nox_obs[6,0:N_nut(6)-1] = [ 8.68, 5.90, 4.79, 0.84, 0.33, 93.78 ] nox_obs[7,0:N_nut(7)-1] = [ 7.39, 4.61, 1.40, 0.50, 0.35, 7.94 ] nox_obs[8,0:N_nut(8)-1] = [ 2.74, 1.29, 0.44, 0.21, 0.08, 8.54 ] zaddr = WHERE(nox_obs NE miss_val) nox_obs(zaddr) = nox_obs(zaddr) * rhoi / rhow ; PO4 po4_obs = FLTARR(N_obs, 6) po4_obs[0,0:N_nut(0)-1] = [ 0.49, 0.38, 0.31, 0.31, 0.29, 0.72 ] po4_obs[1,0:N_nut(1)-1] = [ 0.36, 0.24, 0.27, 0.20, 0.15, 1.80 ] po4_obs[2,0:N_nut(2)-1] = [ 0.42, 0.31, 0.28, 0.10, 0.23, 8.47 ] po4_obs[3,0:N_nut(3)-1] = [ 0.41, 0.28, 0.24, 0.22, 0.14, 16.54 ] po4_obs[4,0:N_nut(4)-1] = [ 0.44, 0.33, 0.25, 0.18, 0.11, 22.05 ] po4_obs[5,0:N_nut(5)-1] = [ 0.38, 0.33, 0.47, 0.27, 0.16, 37.34 ] po4_obs[6,0:N_nut(6)-1] = [ 0.50, 0.34, 0.32, 0.32, 0.19, 35.61 ] po4_obs[7,0:N_nut(7)-1] = [ 0.57, 0.38, 0.29, 0.22, 0.16, 9.79 ] po4_obs[8,0:N_nut(8)-1] = [ 0.37, 0.21, 0.15, 0.11, 0.11, 10.96 ] zaddr = WHERE(po4_obs NE miss_val) po4_obs(zaddr) = po4_obs(zaddr) * rhoi / rhow ; physical observations N_TS = [ 31, 33, 33, 34, 34, 35, 35, 34, 35 ] ; depth of TS cores depth_TS = FLTARR(N_obs, N_dpt) depth_TS(*,*) = miss_val 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. 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. 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. 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. 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. 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. 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. 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. 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. h_TS = FLTARR(N_obs) ; We don't have thicknes of TS cores FOR i_obs = 0, N_obs - 1 DO BEGIN zdh = ( depth_TS(i_obs,N_TS(i_obs)-1) - depth_TS(i_obs,N_TS(i_obs)-2) ) / 2. h_TS(i_obs) = depth_TS(i_obs,N_TS(i_obs)-1) + zdh ENDFOR ; T-S t_i_obs = FLTARR(N_obs, N_dpt) t_i_obs(*,*) = miss_val 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] ; S-physical core s_i_obs = FLTARR(N_obs, N_dpt) s_i_obs(*,*) = miss_val 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] e_i_obs = FLTARR(N_obs, N_dpt) e_i_obs(*,*) = miss_val zaddr = where( ( s_i_obs NE miss_val ) AND ( t_i_obs NE miss_val ) ) e_i_obs(zaddr) = - 0.054*s_i_obs(zaddr) / t_i_obs(zaddr) ; brine concentrations e_i_nut = FLTARR(N_obs, 6) FOR i_obs = 0, N_obs - 1 DO BEGIN zei = e_i_obs(i_obs,*) zd = depth_TS(i_obs,*) zaddr = WHERE(zei NE miss_val) zei = zei(zaddr) zd = zd(zaddr) / h_TS(i_obs) zei_itp = INTERPOL(zei, zd, depth_nut(i_obs,*)/h_nut(i_obs)); interpolate bvf on nutrient depths e_i_nut(i_obs,*) = zei_itp ENDFOR ;DEVICE, /CLOSE ;SET_PLOT, 'X' ;!P.MULTI=[0,5,2] ;FOR i_obs = 0, N_obs -1 DO BEGIN ; PLOT, [0., 100.], [-2., 0.], /NODATA, charsize = 2 ; 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 ; OPLOT, e_i_nut(i_obs,*)*100., -depth_nut(i_obs,*)/h_nut(i_obs) ;ENDFOR ;STOP iaddr = where ( dsi_obs NE miss_val ) dsi_br_obs = FLTARR(N_obs, 6) dsi_br_obs(iaddr) = dsi_obs(iaddr) / e_i_nut(iaddr) iaddr = where ( po4_obs NE miss_val ) po4_br_obs = FLTARR(N_obs, 6) po4_br_obs(iaddr) = po4_obs(iaddr) / e_i_nut(iaddr) iaddr = where ( nox_obs NE miss_val ) nox_br_obs = FLTARR(N_obs, 6) nox_br_obs(iaddr) = nox_obs(iaddr) / e_i_nut(iaddr) ;*** Mean observed Profiles ;--- interpolate T, S and e on standard depths --- N_std = 30 depth_std = FINDGEN(30) / 30.+ 1./60. t_i_std = FLTARR(N_obs, N_std) s_i_std = FLTARR(N_obs, N_std) e_i_std = FLTARR(N_obs, N_std) chla_std = FLTARR(N_obs, N_std) FOR i_obs = 0, N_obs - 1 DO BEGIN zt = t_i_obs(i_obs,0:N_TS(i_obs)-1) zd = depth_TS(i_obs,0:N_TS(i_obs)-1) zaddr = WHERE( zt NE miss_val ) zt = zt(zaddr) zd = zd(zaddr) / h_TS(i_obs) ztstd = INTERPOL( zt, zd, depth_std ) t_i_std(i_obs,*) = ztstd(*) zs = s_i_obs(i_obs,0:N_TS(i_obs)-1) zd = depth_TS(i_obs,0:N_TS(i_obs)-1) zaddr = WHERE( zs NE miss_val ) zs = zs(zaddr) zd = zd(zaddr) / h_TS(i_obs) zsstd = INTERPOL( zs, zd, depth_std ) s_i_std(i_obs,*) = zsstd(*) ze = e_i_obs(i_obs,0:N_TS(i_obs)-1) zd = depth_TS(i_obs,0:N_TS(i_obs)-1) zaddr = WHERE( ze NE miss_val ) ze = ze(zaddr) zd = zd(zaddr) / h_TS(i_obs) zestd = INTERPOL( ze, zd, depth_std ) e_i_std(i_obs,*) = zestd(*) zchl = chla_obs(i_obs,0:N_chl(i_obs)-1) zd = depth_chl(i_obs,0:N_chl(i_obs)-1) zaddr = WHERE( zchl NE miss_val ) zchl = zchl(zaddr) zd = zd(zaddr) / h_chl(i_obs) zchlstd = INTERPOL( zchl, zd, depth_std ) chla_std(i_obs,*) = zchlstd(*) ; s_i_std = ... ; e_i_std = ... ENDFOR ;*** t_i_obs_mean = MEAN( t_i_std, dimension = 1 ) t_i_obs_std = STDDEV( t_i_std, dimension = 1 ) s_i_obs_mean = MEAN( s_i_std, dimension = 1 ) s_i_obs_std = STDDEV( s_i_std, dimension = 1 ) e_i_obs_mean = MEAN( e_i_std, dimension = 1 ) e_i_obs_std = STDDEV( e_i_std, dimension = 1 ) ;depth_obs_mean = MEAN( depth_obs, DIMENSION = 1 ) chla_obs_mean = MEAN( chla_std , DIMENSION = 1 ) chla_obs_std = STDDEV( chla_std, dimension = 1 ) dsi_obs_mean = FLTARR(N_dpt) & dsi_obs_std = FLTARR(N_dpt) nox_obs_mean = FLTARR(N_dpt) & nox_obs_std = FLTARR(N_dpt) po4_obs_mean = FLTARR(N_dpt) & po4_obs_std = FLTARR(N_dpt) depth_nut_mean = FLTARR(N_dpt) depth_nut_std = FLTARR(N_obs,6) FOR i_obs = 0, N_obs - 1 DO BEGIN depth_nut_std(i_obs,*) = depth_nut(i_obs,*) / h_nut(i_obs) ENDFOR FOR i = 0, 5 DO BEGIN i_addr = WHERE( dsi_obs(*,i) NE miss_val ) dsi_obs_mean(i) = MEAN( dsi_obs(i_addr,i) ) dsi_obs_std(i) = STDDEV( dsi_obs(i_addr,i) ) nox_obs_mean(i) = MEAN( nox_obs(i_addr,i) ) nox_obs_std(i) = STDDEV( nox_obs(i_addr,i) ) po4_obs_mean(i) = MEAN( po4_obs(i_addr,i) ) po4_obs_std(i) = STDDEV( po4_obs(i_addr,i) ) depth_nut_mean(i) = MEAN( depth_nut_std(i_addr,i) ) ENDFOR ;*** Corresponding model mean profiles t_i_mod_mean = FLTARR(nlay) & t_i_mod_mean(*) = 0. t_i_mod_std = FLTARR(nlay) & t_i_mod_std (*) = 0. s_i_mod_mean = FLTARR(nlay) & s_i_mod_mean(*) = 0. s_i_mod_std = FLTARR(nlay) & s_i_mod_std (*) = 0. e_i_mod_mean = FLTARR(nlay) & e_i_mod_mean(*) = 0. e_i_mod_std = FLTARR(nlay) & e_i_mod_std (*) = 0. chla_mod_mean = FLTARR(nlay) & chla_mod_mean(*) = 0. chla_mod_std = FLTARR(nlay) & chla_mod_std (*) = 0. nox_mod_mean = FLTARR(nlay) & nox_mod_mean(*) = 0. nox_mod_std = FLTARR(nlay) & nox_mod_std (*) = 0. po4_mod_mean = FLTARR(nlay) & po4_mod_mean(*) = 0. po4_mod_std = FLTARR(nlay) & po4_mod_std (*) = 0. dsi_mod_mean = FLTARR(nlay) & dsi_mod_mean(*) = 0. dsi_mod_std = FLTARR(nlay) & dsi_mod_std (*) = 0. FOR i = 0, nlay - 1 DO BEGIN FOR i_obs = 0, N_obs - 1 DO BEGIN i_mod = WHERE(doy EQ doy_obs(i_obs)-1) t_i_mod_mean(i) = t_i_mod_mean(i) + t_i(i,i_mod) / FLOAT(N_obs) s_i_mod_mean(i) = s_i_mod_mean(i) + s_i(i,i_mod) / FLOAT(N_obs) e_i_mod_mean(i) = e_i_mod_mean(i) + e_i(i,i_mod) / FLOAT(N_obs) chla_mod_mean(i) = chla_mod_mean(i) + chla(i,i_mod) / FLOAT(N_obs) dsi_mod_mean(i) = dsi_mod_mean(i) + dsib(i,i_mod) / FLOAT(N_obs) nox_mod_mean(i) = nox_mod_mean(i) + no3b(i,i_mod) / FLOAT(N_obs) po4_mod_mean(i) = po4_mod_mean(i) + po4b(i,i_mod) / FLOAT(N_obs) ENDFOR zsum = 0 zsum_s = 0 zsum_e = 0 zsum_c = 0 zsum_d = 0 zsum_n = 0 zsum_p = 0 FOR i_obs = 0, N_obs - 1 DO BEGIN i_mod = WHERE(doy EQ doy_obs(i_obs)-1) zsum = zsum + ( t_i(i,i_mod) - t_i_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_s = zsum_s + ( s_i(i,i_mod) - s_i_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_e = zsum_e + ( e_i(i,i_mod) - e_i_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_c = zsum_c + ( chla(i,i_mod) - chla_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_d = zsum_d + ( dsib(i,i_mod) - dsi_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_n = zsum_n + ( no3b(i,i_mod) - nox_mod_mean(i) ) ^2 / FLOAT(N_obs) zsum_p = zsum_p + ( po4b(i,i_mod) - po4_mod_mean(i) ) ^2 / FLOAT(N_obs) ENDFOR t_i_mod_std(i) = SQRT( zsum ) s_i_mod_std(i) = SQRT( zsum_s ) e_i_mod_std(i) = SQRT( zsum_e ) chla_mod_std(i) = SQRT( zsum_c ) nox_mod_std(i) = SQRT( zsum_n ) po4_mod_std(i) = SQRT( zsum_p ) dsi_mod_std(i) = SQRT( zsum_d ) ENDFOR ;------- ; ;============================================================================== ; DIAGNOSTICS ;============================================================================== ; phi=findgen(32)*(!PI*2/32.) phi = [ phi, phi(0) ] usersym, cos(phi), sin(phi), /fill ; ;============================================================================== ; PLOTS ;============================================================================== ; ; ;============================================================================== ; Time series of profiles ;============================================================================== ; ;--------- ;--- T --- ;--------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ -20, 0. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'deg C', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, -5, -0.1, ztitle ; add obs OPLOT, t_i_obs(i_obs,*), - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ip(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 3 OPLOT, t_i(*,i_mod), -zz, THICK = 3, COLOR = 150 ENDFOR ;--------- ;--- S ;--------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [0., 15. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'g/kg', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 7., -0.1, ztitle ; add obs OPLOT, s_i_obs(i_obs,*), - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ip(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 3 OPLOT, s_i(*,i_mod), -zz, THICK = 3, COLOR = 150 ENDFOR ;--------- ;--- e ;--------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [0., 50. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = '%', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 15., -0.1, ztitle ; add obs OPLOT, e_i_obs(i_obs,*)*100., - depth_TS(i_obs,*)/h_TS(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ip(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 3 OPLOT, e_i(*,i_mod), -zz, THICK = 3, COLOR = 150 ENDFOR ;-------------- ;--- chla ;-------------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0.01, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mg chla / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 27., -0.1, ztitle ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, chla(*,i_mod), -zz, THICK = 3, COLOR = 150 ; add obs zchlaobs = chla_obs(i_obs,0:N_chl(i_obs)-1) zz_obs = depth_chl(i_obs,0:N_chl(i_obs)-1) / h_chl(i_obs) zchla_obs2mod = INTERPOL( zchlaobs, zz_obs,zz ) OPLOT, zchla_obs2mod, -zz, PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; print, zchla_obs2mod ENDFOR ;------------ ;--- nox ;------------ !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0.00, 12. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 2.2, -0.3, ztitle ; add obs OPLOT, nox_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, no3b(*,i_mod), -zz, THICK = 3, COLOR = 150 PRINT, ' i_mod : ', i_mod PRINT, ' NO3b : ', no3b(*,i_mod) ENDFOR ;------------- ;--- po4 ;------------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0.00, 4.0 ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2 XYOUTS, 0.37, -0.3, ztitle ; add obs OPLOT, po4_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs) , PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, po4b(*,i_mod), -zz, THICK = 3, COLOR = 150 ENDFOR ;-------------- ;--- DSi ;-------------- !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0.00, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol Si / m3', XTICKFORMAT='(F4.1)', XMINOR = 2, YMINOR = 2 XYOUTS, 3.0, -0.15, ztitle ; add obs OPLOT, dsi_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, dsib(*,i_mod), -zz, THICK = 3, COLOR = 150 ENDFOR ; ;============================================================================== ; Time series of profiles, brine concentrations ;============================================================================== ; ;--- nox_br !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0., 300. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 20.0, -0.15, ztitle ; add obs OPLOT, nox_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, no3b(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 LOADCT, 1 OPLOT, [ 1.6, 1.6 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 ENDFOR ;--- po4_br !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0.0, 15. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, $ SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I3)', XMINOR = 2, XTICKS = 3 , YMINOR = 2 XYOUTS, 10., -0.15, ztitle ; add obs OPLOT, po4_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, po4b(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 LOADCT, 1 OPLOT, [ 0.24, 0.24 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 ENDFOR ;--- dsi_br !P.MULTI=[0,numplot_x, numplot_y] FOR i_obs = 0, N_obs - 1 DO BEGIN ; prepare plot LOADCT, 0 ztitle = STRCOMPRESS(STRING(doy_obs(i_obs)), /REMOVE_ALL) PLOT, [ 0., 750. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol Si / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2 XYOUTS, 20.0, -0.15, ztitle ; add obs OPLOT, dsi_br_obs(i_obs,*), - depth_nut(i_obs,*)/h_nut(i_obs), PSYM = 1, THICK = 3, SYMSIZE = 0.8 ; add model i_mod = WHERE(doy EQ doy_obs(i_obs)) zz = FLTARR(nlay) FOR i = 0, nlay - 1 DO BEGIN zz(i) = z_ib(i,i_mod) / h_i(i_mod) ENDFOR LOADCT, 9 OPLOT, dsib(*,i_mod)/e_i(*,i_mod)*100., -zz, THICK = 3, COLOR = 150 LOADCT, 1 OPLOT, [ 3.90, 3.90 ], [ -1., 0.], linestyle = 1, color = 150 , thick = 3 ENDFOR ; ;============================================================================== ; Mean profiles ;============================================================================== ; !P.MULTI=[0,numplot_x, numplot_y] ;--- T --- ; prepare plot LOADCT, 0 ztitle = "Mean T" PLOT, [ -20., 0. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'deg C', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, t_i_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ t_i_obs_mean(i) - t_i_obs_std(i), t_i_obs_mean(i) + t_i_obs_std(i) ], $ [ -depth_std(i), -depth_std(i) ] ENDFOR LOADCT, 3 OPLOT, t_i_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, t_i_mod_mean+t_i_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, t_i_mod_mean-t_i_mod_std, -zz, THICK = 1, COLOR = 150 ;--- S --- ; prepare plot LOADCT, 0 ztitle = "Mean S" PLOT, [0., 12. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'g/kg', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, s_i_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ s_i_obs_mean(i) - s_i_obs_std(i), s_i_obs_mean(i) + s_i_obs_std(i) ], $ [ -depth_std(i), -depth_std(i) ] ENDFOR ; add model LOADCT, 3 OPLOT, s_i_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, s_i_mod_mean+s_i_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, s_i_mod_mean-s_i_mod_std, -zz, THICK = 1, COLOR = 150 ;--- e --- ; prepare plot LOADCT, 0 ztitle = "Mean e" PLOT, [0., 50. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = '%', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, e_i_obs_mean*100., - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ e_i_obs_mean(i) - e_i_obs_std(i), e_i_obs_mean(i) + e_i_obs_std(i) ] * 100., $ [ -depth_std(i), -depth_std(i) ] ENDFOR ; add model LOADCT, 3 OPLOT, e_i_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, e_i_mod_mean+e_i_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, e_i_mod_mean-e_i_mod_std, -zz, THICK = 1, COLOR = 150 ;--- chl-a --- ; prepare plot LOADCT, 0 ztitle = "Mean chla" PLOT, [ 0.01, 40. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mg chla / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, chla_obs_mean, - depth_std, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ chla_obs_mean(i) - chla_obs_std(i), chla_obs_mean(i) + chla_obs_std(i) ], $ [ -depth_std(i), -depth_std(i) ] ENDFOR ; plot seawater value LOADCT, 1 OPLOT, [ 0.08 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 ; add model LOADCT, 9 OPLOT, chla_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, chla_mod_mean+chla_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, chla_mod_mean-chla_mod_std, -zz, THICK = 1, COLOR = 150 ;--- NOX --- ; prepare plot LOADCT, 0 ztitle = "Mean NOX" PLOT, [ 0.00, 35. ], [ -1.0, 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I3)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, nox_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, 5 DO BEGIN OPLOT, [ nox_obs_mean(i) - nox_obs_std(i), nox_obs_mean(i) + nox_obs_std(i) ], $ [ -depth_nut_mean(i), -depth_nut_mean(i) ] ENDFOR ; plot seawater value LOADCT, 1 OPLOT, [ 31.16 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 ; add model LOADCT, 9 OPLOT, nox_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, nox_mod_mean+nox_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, nox_mod_mean-nox_mod_std, -zz, THICK = 1, COLOR = 150 ;--- PO4 --- ; prepare plot LOADCT, 0 ztitle = "Mean PO4" PLOT, [ 0.00, 4.0 ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol P / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, po4_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ po4_obs_mean(i) - po4_obs_std(i), po4_obs_mean(i) + po4_obs_std(i) ], $ [ -depth_nut_mean(i), -depth_nut_mean(i) ] ENDFOR ; plot seawater value LOADCT, 1 OPLOT, [ 2.05 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 ; add model LOADCT, 9 OPLOT, po4_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, po4_mod_mean+po4_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, po4_mod_mean-po4_mod_std, -zz, THICK = 1, COLOR = 150 ;--- DSi --- ; prepare plot LOADCT, 0 ztitle = "Mean DSi" PLOT, [ 0.00, 90. ], [ -1., 0. ], CHARSIZE = cs, /NODATA, SUBTITLE = 'mmmol N / m3', XTICKFORMAT='(I2)', XMINOR = 2, YMINOR = 2, TITLE = ztitle ; add obs OPLOT, dsi_obs_mean, - depth_nut_mean, PSYM = 8, THICK = 3, SYMSIZE = 0.8 FOR i = 0, N_std - 1 DO BEGIN OPLOT, [ dsi_obs_mean(i) - dsi_obs_std(i), dsi_obs_mean(i) + dsi_obs_std(i) ], $ [ -depth_nut_mean(i), -depth_nut_mean(i) ] ENDFOR ; plot seawater value LOADCT, 1 OPLOT, [ 84.35 ], [ -1 ], PSYM = 8, THICK = 3, SYMSIZE = 1.6, COLOR = 150 ; add model LOADCT, 9 OPLOT, dsi_mod_mean, -zz, THICK = 3, COLOR = 150 LOADCT, 0 OPLOT, dsi_mod_mean+dsi_mod_std, -zz, THICK = 1, COLOR = 150 OPLOT, dsi_mod_mean-dsi_mod_std, -zz, THICK = 1, COLOR = 150 ; ;============================================================================== ; End of the script ;============================================================================== ; IF ( device EQ 'PS' ) THEN BEGIN DEVICE, /CLOSE SET_PLOT, "X" !P.MULTI=[0,2,2] ENDIF END