Global Index (short | long) | Local contents | Local Index (short | long)
Get windstress if necessary
This script calls | |
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clear cd /home/disk/tao/dvimont/matlab/CSIRO/Thesis/Data load HP10_detrend_L1-7_EOF_yr101-1000.mat load HP10_hctend_ALL.mat; load HP10_hflx_terms.mat; order = ['ubtp'; 'uptb'; 'vbtp'; 'vptb'; 'wbtp'; 'wptb']; levind = ['13'; '47']; lims2 = [180 270 -3 3]; tit = 'EQ'; % Equatorial index lims2 = [135 180 3 16]; tit = 'WSTP'; % WSTP index lims2 = [135 165 3 15]; tit = 'WSTP'; % WSTP index lims2 = [180 200 22.5 35]; tit = 'ML COLD'; % WSTP index lims2 = [145 180 37.5 52.5]; tit = 'ML COLD'; % WSTP index for j = 1:2; [lat, lon] = getll('u', lims); [xk, yk] = keep_var(lims2, lon, lat); for i = 1:4; eval(['tem = ' order(i,:) levind(j,:) '(:,yk,xk);']); if ~iselement(size(tem), 1); tem = squeeze(mean2(mean2(shiftdim(tem, 1)))); else tem = squeeze(mean2(squeeze(shiftdim(tem, 1))))'; end eval([order(i,:) '_' levind(j,:) ' = tem;']); end [lat, lon] = getll('wl', lims); [xk, yk] = keep_var(lims2, lon, lat); for i = 5:6 eval(['tem = ' order(i,:) levind(j,:) '(:,yk,xk);']); if ~iselement(size(tem), 1); tem = squeeze(mean2(mean2(shiftdim(tem, 1)))); else tem = squeeze(mean2(squeeze(shiftdim(tem, 1)))); end eval([order(i,:) '_' levind(j,:) ' = tem;']); end [lat, lon] = getll('temp', lims); [xk, yk] = keep_var(lims2, lon, lat); eval(['tem = dhcdt' levind(j,:) '(:,yk,xk);']); tem = squeeze(mean2(mean2(shiftdim(tem, 1)))); eval(['dhcdt_' levind(j,:) ' = tem;']); end [lat, lon] = getll('temp', lims); [xk, yk] = keep_var(lims2, lon, lat); hflx = squeeze(mean2(mean2(shiftdim(hflx_reg(:,yk,xk), 1)))); res_13 = -dhcdt_13 - (ubtp_13+vbtp_13+wbtp_13+uptb_13+vptb_13+wptb_13-hflx); res_47 = -dhcdt_47 - (ubtp_47+vbtp_47+wbtp_47+uptb_47+vptb_47+wptb_47); for i = 1:6; eval([order(i,:) '_17 = ' order(i,:) '_13 + ' order(i,:) '_47;']); end res_17 = res_13 + res_47; dhcdt_17 = dhcdt_13 + dhcdt_47; order = ['evp'; 'sgn'; 'hfl'; 'rgn']; [lat, lon, tem, lm] = getll('temp', lims); [xk, yk] = keep_var(lims2, lon, lat); for j = 1:4; for i = 1:length(lags); eval([order(j,:) '_reg(i,find(isnan(lm))) = NaN;']); end end for i = 1:4; eval([order(i,:) ' = squeeze(mean2(mean2(shiftdim(' order(i,:) ... '_reg(:,yk,xk), 1))));']); end hc13 = getheat(lims2, 1:3, tim); hc47 = getheat(lims2, 4:7, tim); hc_13 = regress_eof(hc13, pcs, nfrm); hc_47 = regress_eof(hc47, pcs, nfrm); hc_13 = squeeze(mean2(mean2(shiftdim(hc_13, 1)))); hc_47 = squeeze(mean2(mean2(shiftdim(hc_47, 1)))); hc_17 = hc_13 + hc_47; taux = getnc('taux', [150 210 -6 6], 1, tim); taux = regress_eof(taux, pcs, nfrm); taux = squeeze(mean2(mean2(shiftdim(taux, 1)))); % Get windstress curl if necessary [taux, tauy] = getnc('taux', 'tauy', lims2, 1, tim); [lat, lon] = getll('taux', lims2); taux = regress_eof(taux, pcs, nfrm); tauy = regress_eof(tauy, pcs, nfrm); for i = 1:length(nfrm); tx = squeeze(taux(i,:,:)); ty = squeeze(tauy(i,:,:)); curl(i,:,:) = sph_curl1(tx, ty, lat, lon, 0); end curl2 = squeeze(mean2(mean2(shiftdim(curl, 1))))'; % Plot all the terms figure(2); figure_landscape(1); subplot(1,1,1); h1 = plot(... nfrm, dhcdt_13, 'd-.k', ... nfrm, 1e-8*hc_13, '-k', ... nfrm, hflx, '>-.k', ... nfrm, -evp, '.-.k', ... nfrm, -hfl, 'o-.k', ... nfrm, -rgn, '^-.k', ... nfrm, -sgn, 'v-.k'); set(h1(2), 'linewidth', 2); grid on xlabel('Lag (in years)'); ylabel('W m^-^2'); title(['HP10: ' tit ' 0-270m Integrated Heat Content Tendency Terms']); axis([-5 5 -3 3]); set(gca, 'XTick', -20:2:20); legend(h1, 'dhcdt', 'hc', 'Net', 'latent', 'sensible', 'LW', 'SW'); cd /home/disk/tao/dvimont/matlab/CSIRO/Thesis/Chap2/Plots figure(3); figure_landscape(1); subplot(1,1,1); h1 = plot(... nfrm, -ubtp_17, 'x-k', ... nfrm, -vbtp_17, 'o-k', ... nfrm, -wbtp_17, 'v-k', ...; nfrm, -uptb_17, '*--k', ... nfrm, -vptb_17, 's--k', ... nfrm, -wptb_17, '^--k', ... nfrm, -res_17, '.:k', ... nfrm, hflx, '>-.k', ... nfrm, dhcdt_17, 'd-.k', ... nfrm, 1e-8*hc_17, '-k', ... nfrm, -1e8*curl2, 'x--k') set(h1([10:11]), 'linewidth', 2); grid on xlabel('Lag (in years)'); ylabel('W m^-^2'); title(['HP10: ' tit ' 80-270m Integrated Heat Content Tendency Terms']); axis([-5 5 -3 3]); set(gca, 'XTick', -20:2:20); legend(h1, 'Ubar dHC''/dx', 'Vbar dHC''/dy', 'Wbar dHC''dz',... 'U'' dHCbar/dx', 'V'' dHCbardy', 'W'' dHCbardz',... 'Residual', 'HFLX', 'dHC''/dt', 'HC (scaled)', ... 'TAUX (scaled)'); cd /home/disk/tao/dvimont/matlab/CSIRO/Thesis/Chap2/Plots %17 47 13 % Plot specific terms: figure(1); fo(1); sptalk(2,1,1); h1 = plot(... nfrm, dhcdt_13, 'd-.b', ... nfrm, -wbtp_13, 'v-r', ... nfrm, -uptb_13, '*--r', ... nfrm, -wptb_13, '^--r', ... nfrm, hflx, '>-.g', ... nfrm, -res_13, '.:k', ... nfrm, 1e-8*hc_13, '-k', ... nfrm, 35*taux, 'x--k'); set(h1(6:8), 'linewidth', 2); grid on xlabel('Lag (in years)'); ylabel('W m^-^2'); title(['HP10: 0-80m Integrated Equatorial Heat Content Tendency Terms']); axis([-5 5 -2.5 2]); set(gca, 'XTick', -20:20); legend(h1, 'dHC''/dt', ... 'WT''_z', ... 'u''T_x', 'w''T_z', ... 'HFLX', 'Residual', 'HC (scaled)', 'TAUX (scaled)'); cd ~/Thesis/Talk sptalk(2,1,2); h1 = plot(... nfrm, dhcdt_47, 'd-.b', ... nfrm, -wbtp_47, 'v-r', ... nfrm, -uptb_47, '*--r', ... nfrm, -wptb_47, '^--r', ... nfrm, -res_47, '.:k', ... nfrm, 1e-8*hc_47, '-k'); set(h1(5:6), 'linewidth', 2); grid on xlabel('Lag (in years)'); ylabel('W m^-^2'); title(['HP10: 80-270m Integrated Equatorial Heat Content Tendency Terms']); axis([-5 5 -3.5 3.5]); set(gca, 'XTick', -20:20); legend(h1, 'dHC''/dt', ... 'WT''_z', ... 'u''T_x', 'w''T_z', ... 'Residual', 'HC (scaled)'); cd ~/Thesis/Talk print -dpsc2 HP10_EQtend.ps figure(1); figure_orient(1); clf spthes(1); h1 = plot(... nfrm, dhcdt_47, 'd-.k', ... nfrm, -wptb_47, '^--k', ... nfrm, -res_47, '.:k', ... nfrm, 1e-8*hc_47, '-k', ... nfrm, -5e7*curl2, 's--k'); set(h1(3:5), 'linewidth', 2); grid on xlabel('Lag (in years)'); ylabel('W m^-^2'); title(['HP10: 80-270m Integrated WSTP Heat Content Tendency Terms']); axis([-5 5 -3.5 3.5]); set(gca, 'XTick', -20:20); % legend(h1, 'dHC''/dt', 'W'' dHCbardz', ... % 'Residual', 'HC (scaled)', '-1 x CURL(TAU) (scaled)'); cd /home/disk/tao/dvimont/Thesis/Chap3