| 1 |
cnh |
1.1 |
% m-file: mit_loadglobal.m |
| 2 |
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% plot various diagnostics of the global 4x4 degree runs |
| 3 |
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| 4 |
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% uses |
| 5 |
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% mit_loadgrid |
| 6 |
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% mit_getparm |
| 7 |
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% mit_oceanmasks |
| 8 |
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% mit_timesteps |
| 9 |
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% mit_loadglobaldata |
| 10 |
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% mit_globalmovie |
| 11 |
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% mit_plotstreamfunctions |
| 12 |
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% mit_plotzonalvelocity |
| 13 |
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% mit_globalmean |
| 14 |
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% mit_zonalmean |
| 15 |
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% mit_meridflux |
| 16 |
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% mit_plotmeandrift |
| 17 |
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| 18 |
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| 19 |
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% read in all grid files, etc. This has to be done at the very beginning! |
| 20 |
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grd = mit_loadgrid('.'); |
| 21 |
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dname = grd.dname; |
| 22 |
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% add some masks |
| 23 |
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grd = mit_oceanmasks(grd); |
| 24 |
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% |
| 25 |
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if ~exist('meanfields','var') |
| 26 |
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meanfields = 1; % read in mean fields instead of instantaneous ones, |
| 27 |
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% include some more diagnostics |
| 28 |
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% meanfields = 1 is the default |
| 29 |
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end |
| 30 |
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% |
| 31 |
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mit_timesteps |
| 32 |
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| 33 |
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if meanfields |
| 34 |
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disp('reading averaged fields (*tave.*)') |
| 35 |
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% |
| 36 |
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mit_loadglobaldata |
| 37 |
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% |
| 38 |
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u=rdmds('uVeltave',timesteps(2:end)'); |
| 39 |
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v=rdmds('vVeltave',timesteps(2:end)'); |
| 40 |
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w=rdmds('wVeltave',timesteps(2:end)'); |
| 41 |
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t=rdmds('Ttave',timesteps(2:end)'); |
| 42 |
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s=rdmds('Stave',timesteps(2:end)'); |
| 43 |
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eta=rdmds('ETAtave',timesteps(2:end)').*repmat(squeeze(grd.cmask(:,:,1)),[1 1 nt-1]); |
| 44 |
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k=1; |
| 45 |
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u=cat(4,zeros([nx ny nz 1]),u); |
| 46 |
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v=cat(4,zeros([nx ny nz 1]),v); |
| 47 |
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w=cat(4,zeros([nx ny nz 1]),w); |
| 48 |
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% hack |
| 49 |
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t=cat(4,rdmds('T',timesteps(1)'),t); |
| 50 |
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s=cat(4,rdmds('S',timesteps(1)'),s); |
| 51 |
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eta=cat(3,0.*grd.cmask(:,:,1),eta); |
| 52 |
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else |
| 53 |
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% load snap shots |
| 54 |
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disp('reading snap shot fields') |
| 55 |
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u=rdmds('U',timesteps'); |
| 56 |
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v=rdmds('V',timesteps'); |
| 57 |
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w=rdmds('W',timesteps'); |
| 58 |
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t=rdmds('T',timesteps'); |
| 59 |
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s=rdmds('S',timesteps'); |
| 60 |
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eta=rdmds('Eta',timesteps').*repmat(squeeze(grd.cmask(:,:,1)),[1 1 nt]); |
| 61 |
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end |
| 62 |
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% orientation and masking |
| 63 |
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if ~strcmp(grd.buoyancy,'OCEANIC'); |
| 64 |
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u = u(:,:,end:-1:1,:); |
| 65 |
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v = v(:,:,end:-1:1,:); |
| 66 |
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w = w(:,:,end:-1:1,:).*repmat(grd.cmask,[1 1 1 nt]); |
| 67 |
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t = t(:,:,end:-1:1,:).*repmat(grd.cmask,[1 1 1 nt]); |
| 68 |
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s = s(:,:,end:-1:1,:).*repmat(grd.cmask,[1 1 1 nt]); |
| 69 |
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else |
| 70 |
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% $$$ u = u; |
| 71 |
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% $$$ v = v; |
| 72 |
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w = w.*repmat(grd.cmask,[1 1 1 nt]); |
| 73 |
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t = t.*repmat(grd.cmask,[1 1 1 nt]); |
| 74 |
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s = s.*repmat(grd.cmask,[1 1 1 nt]); |
| 75 |
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end |
| 76 |
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| 77 |
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% transport through Drake Passage |
| 78 |
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TDP = NaN*ones(nt,1); |
| 79 |
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kx = 73; |
| 80 |
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kyg = [5 6 7]; |
| 81 |
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%kyg = [4 5 6 7]; |
| 82 |
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da = grd.dz*grd.dyg(kx,kyg); |
| 83 |
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for k=kt; |
| 84 |
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TDP(k) = sum(nansum(squeeze(u(kx,kyg,:,k))'.*da))*1e-6; % in Sv |
| 85 |
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TDPz(:,k) = nansum(squeeze(u(kx,kyg,:,k)).*da')'*1e-6; % in Sv |
| 86 |
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end |
| 87 |
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| 88 |
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% set some depth |
| 89 |
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if ~meanfields |
| 90 |
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mit_globalmovie |
| 91 |
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end |
| 92 |
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| 93 |
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% $$$ [x y z]=meshgrid(grd.lonc,grd.grd.latc,-grd.zc); |
| 94 |
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% $$$ tk = permute(squeeze(t(:,:,:,k)),[2 1 3]); |
| 95 |
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% $$$ xplane = [0:30:360]; |
| 96 |
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% $$$ yplane = 30; |
| 97 |
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% $$$ zplane = -[50 500:500:6000]; |
| 98 |
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% $$$ slice(x,y,z,tk,xplane,yplane,zplane); |
| 99 |
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% $$$ shading flat, colorbar('h') |
| 100 |
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| 101 |
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mit_plotstreamfunctions |
| 102 |
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| 103 |
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mit_plotzonalvelocity |
| 104 |
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| 105 |
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if meanfields |
| 106 |
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% compute actual heat and E-P fluxes from time averages |
| 107 |
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% this only makes sense when you load the time averaged fields |
| 108 |
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tauTheta = mit_getparm('data','tauThetaClimRelax'); |
| 109 |
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tauSalt = mit_getparm('data','tauSaltClimRelax'); |
| 110 |
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rhonil = mit_getparm('data','rhonil'); |
| 111 |
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if isempty(rhonil) |
| 112 |
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rhonil = 1035; |
| 113 |
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end |
| 114 |
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Cp = 3994; |
| 115 |
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if isempty(tauTheta) |
| 116 |
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tauTheta = 0; |
| 117 |
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end |
| 118 |
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if tauTheta==0 |
| 119 |
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recip_tauTheta = 0.; |
| 120 |
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else |
| 121 |
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recip_tauTheta = 1./tauTheta; |
| 122 |
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end |
| 123 |
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if isempty(tauSalt) |
| 124 |
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tauSalt = 0; |
| 125 |
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end |
| 126 |
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if tauSalt==0 |
| 127 |
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recip_tauSalt = 0.; |
| 128 |
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else |
| 129 |
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recip_tauSalt = 1./tauSalt; |
| 130 |
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end |
| 131 |
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figure('PaperPosition',[0.31 0.25 10.5 7.88],'PaperOrientation','landscape') |
| 132 |
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k=kmax; |
| 133 |
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qnet_diag = (t(:,:,1,k)-tdmean)*grd.dz(1).*grd.hfacc(:,:,1)*Cp*rhonil*recip_tauTheta; |
| 134 |
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empr_diag = - (s(:,:,1,k)-sdmean)*grd.dz(1).*grd.hfacc(:,:,1)*recip_tauSalt/35; |
| 135 |
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clear sh; |
| 136 |
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sh(1) = subplot(2,2,1);imagesc(grd.lonc,grd.latc,qnet_diag'); |
| 137 |
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axis xy; axis image; colorbar('h') |
| 138 |
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title(['Q_{diag} from T-T_{lev} at the surface']) |
| 139 |
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sh(2) =subplot(2,2,2);imagesc(grd.lonc,grd.latc,qnet'.*grd.cmask(:,:,1)'); |
| 140 |
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axis xy; axis image; colorbar('h') |
| 141 |
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title('annual mean Q_{net} (data)') |
| 142 |
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sh(3) =subplot(2,2,3);imagesc(grd.lonc,grd.latc,empr_diag'); |
| 143 |
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axis xy; axis image; colorbar('h') |
| 144 |
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title(['(E-P)_{diag} from S-S_{lev} at the surface']) |
| 145 |
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sh(4) =subplot(2,2,4);imagesc(grd.lonc,grd.latc,empr'.*grd.cmask(:,:,1)'); |
| 146 |
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axis xy; axis image; colorbar('h') |
| 147 |
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title('annual mean E-P (data)') |
| 148 |
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suptitle(['experiment ' dname ', timestep = ' num2str(timesteps(k)) ... |
| 149 |
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', ' tuname ' = ' num2str(tim(k))]) |
| 150 |
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set(sh(1:2),'clim',[-1 1]*200); |
| 151 |
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set(gcf,'currentAxes',sh(1));colorbar('h') |
| 152 |
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set(gcf,'currentAxes',sh(2));colorbar('h') |
| 153 |
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set(sh(3:4),'clim',[-1 1]*1.e-7); |
| 154 |
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set(gcf,'currentAxes',sh(3));colorbar('h') |
| 155 |
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set(gcf,'currentAxes',sh(4));colorbar('h') |
| 156 |
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| 157 |
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clear sh |
| 158 |
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| 159 |
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if length(tim) > 1 |
| 160 |
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rac3d = repmat(grd.rac,[1 1 nz]).*grd.hfacc; |
| 161 |
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% horizontal averages of t and s in a hovmoeller-type diagramme |
| 162 |
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mdt = repmat(NaN,grd.nz,length(kt)); |
| 163 |
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mdtt= mdt; |
| 164 |
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mdtstd= mdt; |
| 165 |
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mdt_alt = mdt; |
| 166 |
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mdtt_alt= mdt; |
| 167 |
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mdtstd_alt = mdt; |
| 168 |
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mdt_pac = mdt; |
| 169 |
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mdtt_pac= mdt; |
| 170 |
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mdtstd_pac = mdt; |
| 171 |
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mdt_sou = mdt; |
| 172 |
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mdtt_sou= mdt; |
| 173 |
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mdtstd_sou = mdt; |
| 174 |
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mds = mdt; |
| 175 |
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mdss= mdt; |
| 176 |
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mdsstd = mdt; |
| 177 |
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mds_alt = mdt; |
| 178 |
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mdss_alt= mdt; |
| 179 |
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mdsstd_alt = mdt; |
| 180 |
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mds_pac = mdt; |
| 181 |
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mdss_pac= mdt; |
| 182 |
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mdsstd_pac = mdt; |
| 183 |
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mds_sou = mdt; |
| 184 |
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mdss_sou= mdt; |
| 185 |
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mdsstd_sou = mdt; |
| 186 |
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indopac_hfacc = ... |
| 187 |
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change(change(grd.pacific_hfacc,'==',NaN,0) ... |
| 188 |
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+change(grd.indic_hfacc,'==',NaN,0),'==',0,NaN); |
| 189 |
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indopac_hfacc(:,1:12,:) = NaN; |
| 190 |
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southern_hfacc = grd.hfacc; |
| 191 |
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southern_hfacc(:,13:end,:) = NaN; |
| 192 |
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atl_hfacc = grd.atlantic_hfacc; |
| 193 |
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atl_hfacc(:,1:12,:) = NaN; |
| 194 |
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for k=kt; |
| 195 |
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dt = t(:,:,:,k)-tdatamean; % anomalies |
| 196 |
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ds = s(:,:,:,k)-sdatamean; % anomalies |
| 197 |
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[mdt(:,k) mdtt(:,k) mdtstd(:,k)] = mit_globalmean(dt,rac3d); |
| 198 |
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[mds(:,k) mdss(:,k) mdsstd(:,k)] = mit_globalmean(ds,rac3d); |
| 199 |
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[mdt_atl(:,k) mdtt_atl(:,k) mdtstd_atl(:,k)] = mit_globalmean(dt,rac3d.*atl_hfacc); |
| 200 |
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[mds_atl(:,k) mdss_atl(:,k) mdsstd_atl(:,k)] = mit_globalmean(ds,rac3d.*atl_hfacc); |
| 201 |
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[mdt_pac(:,k) mdtt_pac(:,k) mdtstd_pac(:,k)] = mit_globalmean(dt,rac3d.*indopac_hfacc); |
| 202 |
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[mds_pac(:,k) mdss_pac(:,k) mdsstd_pac(:,k)] = mit_globalmean(ds,rac3d.*indopac_hfacc); |
| 203 |
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[mdt_sou(:,k) mdtt_sou(:,k) mdtstd_sou(:,k)] = mit_globalmean(dt,rac3d.*southern_hfacc); |
| 204 |
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[mds_sou(:,k) mdss_sou(:,k) mdsstd_sou(:,k)] = mit_globalmean(ds,rac3d.*southern_hfacc); |
| 205 |
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end |
| 206 |
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| 207 |
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figure('PaperPosition',[0.31 0.25 10.5 7.88],'PaperOrientation','landscape') |
| 208 |
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if length(tim) > 2 |
| 209 |
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clear sh |
| 210 |
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sh(1) = subplot(2,2,1); |
| 211 |
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contourf(tim(2:end),-grd.zc,mdt(:,2:end),20); |
| 212 |
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caxis([-1 1]*max(abs(caxis))); shading flat; colorbar('v') |
| 213 |
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title('T-T_{lev} horizontally averaged') |
| 214 |
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xlabel(['Time [' timeunit ']']); ylabel('Depth [m]') |
| 215 |
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sh(2) = subplot(2,2,2); |
| 216 |
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contourf(tim(2:end),-grd.zc,mds(:,2:end),20); |
| 217 |
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caxis([-1 1]*max(abs(caxis))); shading flat; colorbar('v') |
| 218 |
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title('S-S_{lev} horizontally averaged') |
| 219 |
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xlabel(['Time [' timeunit ']']); ylabel('Depth [m]') |
| 220 |
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% |
| 221 |
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sh(3) = subplot(2,2,3); |
| 222 |
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contourf(tim(2:end),-grd.zc,mdtt(:,2:end),20); |
| 223 |
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shading flat; colorbar('v') |
| 224 |
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title('|T-T_{lev}| horizontally averaged'); |
| 225 |
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xlabel(['Time [' timeunit ']']); ylabel('Depth [m]') |
| 226 |
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sh(4) = subplot(2,2,4); |
| 227 |
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contourf(tim(2:end),-grd.zc,mdss(:,2:end),20); |
| 228 |
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shading flat; colorbar('v') |
| 229 |
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title('|S-S_{lev}| horizontally averaged') |
| 230 |
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xlabel(['Time [' timeunit ']']); ylabel('Depth [m]') |
| 231 |
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set(sh,'layer','top'); |
| 232 |
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suptitle(['experiment ' dname]) |
| 233 |
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end %if length(tim) > 2 |
| 234 |
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| 235 |
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k=kmax; |
| 236 |
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figure('PaperOrientation','landscape','PaperPosition',[0.25 0.3125 10.5 7.875]) |
| 237 |
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clear sh |
| 238 |
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sh(1) = subplot(2,4,1); |
| 239 |
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plot(mdt(:,k),-grd.zc,'b-',mdt(:,k)+mdtstd(:,k),-grd.zc,'r--',mdt(:,k)-mdtstd(:,k),-grd.zc,'r--'); |
| 240 |
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xlabel('T-T_{lev} [degC]'); ylabel('depth [m]'); title('global') |
| 241 |
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legend('horiz. mean','std',3); |
| 242 |
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sh(2) = subplot(2,4,2); |
| 243 |
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plot(mdt_atl(:,k),-grd.zc,'b-',mdt_atl(:,k)+mdtstd_atl(:,k),-grd.zc,'r--',mdt_atl(:,k)-mdtstd_atl(:,k),-grd.zc,'r--'); |
| 244 |
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xlabel('T-T_{lev} [degC]'); %ylabel('depth [m]'); |
| 245 |
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title('atlantic') |
| 246 |
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sh(3) = subplot(2,4,3); |
| 247 |
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plot(mdt_pac(:,k),-grd.zc,'b-',mdt_pac(:,k)+mdtstd_pac(:,k),-grd.zc,'r--',mdt_pac(:,k)-mdtstd_pac(:,k),-grd.zc,'r--'); |
| 248 |
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xlabel('T-T_{lev} [degC]'); %ylabel('depth [m]'); |
| 249 |
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title('indo-pacific') |
| 250 |
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sh(4) = subplot(2,4,4); |
| 251 |
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plot(mdt_sou(:,k),-grd.zc,'b-',mdt_sou(:,k)+mdtstd_sou(:,k),-grd.zc,'r--',mdt_sou(:,k)-mdtstd_sou(:,k),-grd.zc,'r--'); |
| 252 |
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xlabel('T-T_{lev} [degC]'); ylabel('depth [m]'); title('southern') |
| 253 |
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% |
| 254 |
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sh(5) = subplot(2,4,5); |
| 255 |
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plot(mds(:,k),-grd.zc,'b-',mds(:,k)+mdsstd(:,k),-grd.zc,'r--',mds(:,k)-mdsstd(:,k),-grd.zc,'r--'); |
| 256 |
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xlabel('S-S_{lev} [PSU]'); ylabel('depth [m]'); |
| 257 |
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sh(6) = subplot(2,4,6); |
| 258 |
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plot(mds_atl(:,k),-grd.zc,'b-',mds_atl(:,k)+mdsstd_atl(:,k),-grd.zc,'r--',mds_atl(:,k)-mdsstd_atl(:,k),-grd.zc,'r--'); |
| 259 |
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xlabel('S-S_{lev} [PSU]'); %ylabel('depth [m]'); |
| 260 |
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sh(7) = subplot(2,4,7); |
| 261 |
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plot(mds_pac(:,k),-grd.zc,'b-',mds_pac(:,k)+mdsstd_pac(:,k),-grd.zc,'r--',mds_pac(:,k)-mdsstd_pac(:,k),-grd.zc,'r--'); |
| 262 |
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xlabel('S-S_{lev} [PSU]'); %ylabel('depth [m]'); |
| 263 |
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sh(8) = subplot(2,4,8); |
| 264 |
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plot(mds_sou(:,k),-grd.zc,'b-',mds_sou(:,k)+mdsstd_sou(:,k),-grd.zc,'r--',mds_sou(:,k)-mdsstd_sou(:,k),-grd.zc,'r--'); |
| 265 |
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xlabel('S-S_{lev} [PSU]'); ylabel('depth [m]'); |
| 266 |
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set(sh,'xgrid','on','ygrid','on') |
| 267 |
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set([sh(4); sh(8)],'YAxisLocation','right') |
| 268 |
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suptitle(['experiment ' dname ', timestep = ' num2str(timesteps(k)) ... |
| 269 |
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', ' tuname ' = ' num2str(tim(k))]) |
| 270 |
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end %if length(tim) > 1 |
| 271 |
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| 272 |
|
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% zonal mean of temperature and salinity for different ocean basins |
| 273 |
|
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k=kmax; |
| 274 |
|
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tdzm_glo = mit_zonalmean(tdatamean,grd.hfacc,grd.dxc); |
| 275 |
|
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tdzm_atl = mit_zonalmean(tdatamean,grd.atlantic_hfacc,grd.dxc); |
| 276 |
|
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tdzm_pac = mit_zonalmean(tdatamean,grd.pacific_hfacc,grd.dxc); |
| 277 |
|
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tdzm_ind = mit_zonalmean(tdatamean,grd.indic_hfacc,grd.dxc); |
| 278 |
|
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sdzm_glo = mit_zonalmean(sdatamean,grd.hfacc,grd.dxc); |
| 279 |
|
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sdzm_atl = mit_zonalmean(sdatamean,grd.atlantic_hfacc,grd.dxc); |
| 280 |
|
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sdzm_pac = mit_zonalmean(sdatamean,grd.pacific_hfacc,grd.dxc); |
| 281 |
|
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sdzm_ind = mit_zonalmean(sdatamean,grd.indic_hfacc,grd.dxc); |
| 282 |
|
|
|
| 283 |
|
|
figure('PaperPosition',[0.25 0.368552 8 10.2629]); |
| 284 |
|
|
tlev = -5:.5:5; |
| 285 |
|
|
slev = -1:.1:1; |
| 286 |
|
|
clear sh clh |
| 287 |
|
|
clh = cell(8,1); |
| 288 |
|
|
delay = 1; |
| 289 |
|
|
for k = kmax |
| 290 |
|
|
tzm_glo = mit_zonalmean(t(:,:,:,k),grd.hfacc,grd.dxc); |
| 291 |
|
|
tzm_atl = mit_zonalmean(t(:,:,:,k),grd.atlantic_hfacc,grd.dxc); |
| 292 |
|
|
tzm_pac = mit_zonalmean(t(:,:,:,k),grd.pacific_hfacc,grd.dxc); |
| 293 |
|
|
tzm_ind = mit_zonalmean(t(:,:,:,k),grd.indic_hfacc,grd.dxc); |
| 294 |
|
|
szm_glo = mit_zonalmean(s(:,:,:,k),grd.hfacc,grd.dxc); |
| 295 |
|
|
szm_atl = mit_zonalmean(s(:,:,:,k),grd.atlantic_hfacc,grd.dxc); |
| 296 |
|
|
szm_pac = mit_zonalmean(s(:,:,:,k),grd.pacific_hfacc,grd.dxc); |
| 297 |
|
|
szm_ind = mit_zonalmean(s(:,:,:,k),grd.indic_hfacc,grd.dxc); |
| 298 |
|
|
caxt = [min(tzm_glo(:)-tdzm_glo(:)) max(tzm_glo(:)-tdzm_glo(:))]; |
| 299 |
|
|
tlev = -5:.5:5; |
| 300 |
|
|
if max(abs(caxt)) < 1; |
| 301 |
|
|
tlev = -1:.1:1; |
| 302 |
|
|
end |
| 303 |
|
|
if max(abs(caxt)) < .1; |
| 304 |
|
|
tlev = .1*tlev; |
| 305 |
|
|
end |
| 306 |
|
|
caxs = [min(szm_glo(:)-sdzm_glo(:)) max(szm_glo(:)-sdzm_glo(:))]; |
| 307 |
|
|
slev = -1.:.05:1; |
| 308 |
|
|
if max(abs(caxs)) < 0.2; |
| 309 |
|
|
slev = -.20:.01:.20; |
| 310 |
|
|
end |
| 311 |
|
|
if max(abs(caxs)) < .02; |
| 312 |
|
|
slev = .1*slev; |
| 313 |
|
|
end |
| 314 |
|
|
sh(1) = subplot(4,2,1); |
| 315 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(tzm_glo-tdzm_glo)',tlev); |
| 316 |
|
|
if ~isempty(h); |
| 317 |
|
|
clh{1} = clabel(cs,h,[0 0]); |
| 318 |
|
|
end |
| 319 |
|
|
title('\theta-\theta_{lev} [degC]: global ocean') |
| 320 |
|
|
sh(3) = subplot(4,2,3); |
| 321 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(tzm_atl-tdzm_atl)',tlev); |
| 322 |
|
|
if ~isempty(h); |
| 323 |
|
|
clh{3} = clabel(cs,h,[0 0]); |
| 324 |
|
|
end |
| 325 |
|
|
title('atlantic ocean') |
| 326 |
|
|
sh(5) = subplot(4,2,5); |
| 327 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(tzm_pac-tdzm_pac)',tlev); |
| 328 |
|
|
if ~isempty(h); |
| 329 |
|
|
clh{5} = clabel(cs,h,[0 0]); |
| 330 |
|
|
end |
| 331 |
|
|
title('pacific ocean') |
| 332 |
|
|
sh(7) = subplot(4,2,7); |
| 333 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(tzm_ind-tdzm_ind)',tlev); |
| 334 |
|
|
if ~isempty(h); |
| 335 |
|
|
clh{7} = clabel(cs,h,[0 0]); |
| 336 |
|
|
end |
| 337 |
|
|
title('indian ocean') |
| 338 |
|
|
set(sh(1:2:end),'clim',[tlev(1) tlev(end)]) |
| 339 |
|
|
colorbar('h') |
| 340 |
|
|
sh(2) = subplot(4,2,2); |
| 341 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(szm_glo-sdzm_glo)',slev); |
| 342 |
|
|
if ~isempty(h); |
| 343 |
|
|
clh{2} = clabel(cs,h,[0 0]); |
| 344 |
|
|
end |
| 345 |
|
|
title('S-S_{lev} [PSU]: global ocean') |
| 346 |
|
|
sh(4) = subplot(4,2,4); |
| 347 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(szm_atl-sdzm_atl)',slev); |
| 348 |
|
|
if ~isempty(h); |
| 349 |
|
|
clh{4} = clabel(cs,h,[0 0]); |
| 350 |
|
|
end |
| 351 |
|
|
title('atlantic ocean') |
| 352 |
|
|
sh(6) = subplot(4,2,6); |
| 353 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(szm_pac-sdzm_pac)',slev); |
| 354 |
|
|
if ~isempty(h); |
| 355 |
|
|
clh{6} = clabel(cs,h,[0 0]); |
| 356 |
|
|
end |
| 357 |
|
|
title('pacific ocean') |
| 358 |
|
|
sh(8) = subplot(4,2,8); |
| 359 |
|
|
[cs h] = contourf(grd.latc,-grd.zc,(szm_ind-sdzm_ind)',slev); |
| 360 |
|
|
if ~isempty(h); |
| 361 |
|
|
clh{8} = clabel(cs,h,[0 0]); |
| 362 |
|
|
end |
| 363 |
|
|
title('indian ocean') |
| 364 |
|
|
set(sh(2:2:end),'clim',[slev(1) slev(end)]) |
| 365 |
|
|
colorbar('h') |
| 366 |
|
|
set(sh,'layer','top') |
| 367 |
|
|
if ~isempty(cat(1,clh{:})) |
| 368 |
|
|
set(cat(1,clh{:}),'fontsize',8); |
| 369 |
|
|
end |
| 370 |
|
|
|
| 371 |
|
|
suptitle(['experiment ' dname ', timestep = ' num2str(timesteps(k)) ... |
| 372 |
|
|
', ' tuname ' = ' num2str(tim(k)) ', zonal averages']) |
| 373 |
|
|
drawnow; |
| 374 |
|
|
pause(delay) |
| 375 |
|
|
end |
| 376 |
|
|
clear clh sh |
| 377 |
|
|
|
| 378 |
|
|
% meridional transport of heat (internal energy) and fresh water |
| 379 |
|
|
% diagnosed from surface fluxes |
| 380 |
|
|
petawatts = 1e-15; |
| 381 |
|
|
sverdrups = 1e-6; |
| 382 |
|
|
heat_data = -mit_meridflux(qnet,grd.dxc,grd.dyc)*petawatts; |
| 383 |
|
|
heat_diag = -mit_meridflux(qnet_diag,grd.dxc,grd.dyc)*petawatts; |
| 384 |
|
|
freshwater_data = -mit_meridflux(empr,grd.dxc,grd.dyc)*sverdrups; |
| 385 |
|
|
freshwater_diag = -mit_meridflux(empr_diag,grd.dxc,grd.dyc)*sverdrups; |
| 386 |
|
|
figure |
| 387 |
|
|
latgf = [2*grd.latc-grd.latg]; |
| 388 |
|
|
clear sh |
| 389 |
|
|
sh(1) = subplot(2,1,1); |
| 390 |
|
|
hh = plot(latgf,heat_data,'-',latgf,heat_diag,'--', ... |
| 391 |
|
|
latgf,heat_data+heat_diag,'-.'); |
| 392 |
|
|
title('heat (internal energy) flux [PW]') |
| 393 |
|
|
suptitle(['experiment ' dname ', timestep = ' num2str(timesteps(k)) ... |
| 394 |
|
|
', ' tuname ' = ' num2str(tim(k))]) |
| 395 |
|
|
legend('surface flux','restoring','net',2) |
| 396 |
|
|
sh(2) = subplot(2,1,2); |
| 397 |
|
|
fwh = plot(latgf,freshwater_data,'-',latgf,freshwater_diag,'--', ... |
| 398 |
|
|
latgf,freshwater_data+freshwater_diag,'-.'); |
| 399 |
|
|
title('freshwater flux [Sv]') |
| 400 |
|
|
legend('surface flux','restoring','net',3) |
| 401 |
|
|
set(sh,'xlim',[latgf(1) latgf(end)],'xgrid','on','ygrid','on'); |
| 402 |
|
|
|
| 403 |
|
|
end % meanfields |
| 404 |
|
|
|
| 405 |
|
|
mit_plotmeandrift |
| 406 |
|
|
|
| 407 |
|
|
fname = [grd.dname '_' sprintf('%u',tim(kmax)) timeunit]; |
| 408 |
|
|
in = findstr(fname,'\'); |
| 409 |
|
|
fname(in) = []; |
| 410 |
|
|
fn = gcf; |
| 411 |
|
|
if meanfields |
| 412 |
|
|
fname = [fname '.ps']; |
| 413 |
|
|
f0 = fn-7; |
| 414 |
|
|
else |
| 415 |
|
|
fname = [fname '_snap.ps']; |
| 416 |
|
|
f0 = fn-4; |
| 417 |
|
|
end |
| 418 |
|
|
print(f0,'-dpsc',fname); |
| 419 |
|
|
for k = f0+1:fn |
| 420 |
|
|
print(k,'-dpsc',fname,'-append') |
| 421 |
|
|
end |
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