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Heat_Budget_Plot_EqSlice_WOAbias.m
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Heat_Budget_Plot_EqSlice_WOAbias.m
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% This script makes plots depth-longitude or depth-latitude slices
close all;
clear all;
base = '/srv/ccrc/data03/z3500785/mom/mat_data/';
% $$$ base = 'archive/mat_data/';
RUNS = { ...
% MOM01-SIS:
% $$$ {'MOM01',[4567]}, ...
% $$$ % MOM025-SIS:
% $$$ {'MOM025_kb3seg',[101120],'(a) MOM025 Control'}, ...
% $$$ {'MOM025',[16:19],'(b) MOM025-kb0'}, ...
% $$$ {'MOM025_kb1em5',[95:99],'(c) MOM025-kb5'}, ...
% $$$ {'MOM025_kb1em6',[30]}, ...
% $$$ % ACCESS-OM2 Gadi runs:
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[7680]}, ...
{'ACCESS-OM2_025deg_jra55_ryf',[7680],'(a) ACCESS-OM2-025-NG'}, ...
{'ACCESS-OM2_025deg_jra55_ryf_rediGM_kbvar',[7781],'(b) ACCESS-OM2-025-NG-kbv'}, ...
{'ACCESS-OM2_025deg_jra55_ryf_rediGM_kb1em5',[7781],'(c) ACCESS-OM2-025-NG-kb5'}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_norediGM',[76]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_noGM',[7680]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_kds75',[7680]}, ...
% $$$ % $$$ {'ACCESS-OM2_025deg_jra55_ryf',[80]}, ...
% $$$ % $$$ {'ACCESS-OM2_025deg_jra55_ryf',[300]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_norediGM',[7680]}, ...
% $$$ {'ACCESS-OM2_01deg_jra55_ryf',[636639]}, ...
{'ACCESS-OM2_1deg_jra55_ryf',[31],'(d) ACCESS-OM2-1-KDS50'}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_sgl',[31]}, ...
{'ACCESS-OM2_1deg_jra55_ryf_gfdl50',[31],'(e) ACCESS-OM2-1-GFDL50'}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds75',[3135],'ACCESS-OM2-1-KDS75'}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds100',[3135],'ACCESS-OM2-1-KDS100'}, ...
{'ACCESS-OM2_1deg_jra55_ryf_kds135',[3135],'(f) ACCESS-OM2-1-KDS135'}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf',[51]}, ...
};
cols = {'b',[0.3020 0.7451 0.9333],'b','b','b'};
typs = {'-','-','--',':','-.'};
figure;
set(gcf,'Position',[1923 5 1366 998]);
set(gcf,'defaulttextfontsize',15);
set(gcf,'defaultaxesfontsize',15);
% $$$ rr = 1;
for rr = 1:length(RUNS);
outputs = RUNS{rr}{2};
model = RUNS{rr}{1};
% $$$ clearvars -except base RUNS rr outputs model;
load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
if (~exist('ndays'))
ndays = diff(time_snap);
ndays = ndays(1:12);
end
if (ndays(end) <= 0); ndays(end) = 365-ndays(end);end;
region = 'Global';
nyrs = tL/12;
if (round(nyrs)~=nyrs)
anavg = 1;
nyrs = tL;
months = {[1:1]};
else
anavg = 0;
months = {[1:12]};
end
yrs = 1:nyrs;
ycur = 1;
% Load Variable and calculate mean:
reg = 'EqPM2';
load([base model sprintf(['_output%03d_varsat_' reg '.mat'],outputs(1))]);
vars = {'temp','mld','ndif','vdif','vnlc'};%,'u_sq','v_sq','u','v','w_sq','w','Tdxsq','Tdysq','Tdzsq'};
% $$$ for i=1:length(vars)
% $$$ eval(['sz = size(' vars{i} ');']);
% $$$ if (~anavg)
% $$$ sz(end) = 12;
% $$$ end
% $$$ eval([vars{i} 'all = reshape(' vars{i} ',[sz nyrs]);']);
% $$$ end
% $$$ for i=2:length(outputs)
% $$$ load([base model sprintf(['_output%03d_varsat_' reg '.mat'],outputs(i))]);
% $$$ for i=1:length(vars)
% $$$ eval(['sz = size(' vars{i} ');']);
% $$$ if (~anavg)
% $$$ sz(end) = 12;
% $$$ end
% $$$ eval([vars{i} 'all = cat(4,' vars{i} 'all,reshape(' vars{i} ',[sz nyrs]));']);
% $$$ end
% $$$ end
% $$$ for i=1:length(vars)
% $$$ eval(['sz = size(' vars{i} 'all);']);
% $$$ if (~anavg)
% $$$ eval([vars{i} ' = mean(' vars{i} 'all,length(sz));']);
% $$$ else
% $$$ eval([vars{i} ' = ' vars{i} 'all;']);
% $$$ end
% $$$ eval(['clear ' vars{i} 'all;']);
% $$$ end
[xL,zL,tL] = size(temp);
TL = length(T);
if (max(max(max(temp)))>100)
temp = temp-273.15;
end
%% Plot Temp bias against WOA13:
% $$$ months = [1:12];
% $$$ temp = monmean(temp(:,:,months),3,ndays(months));
months = 1:10;
temp = mean(temp,3);
% WOA13:
WOAname = '/srv/ccrc/data03/z3500785/Data_Products/WOA13/woa13_decav_t00_04.nc';
WOAlat = ncread(WOAname,'lat');
WOAlon = ncread(WOAname,'lon');
WOAdep = ncread(WOAname,'depth');
[tmp Eqind] = min(abs(WOAlat));
% $$$ [tmp ln140ind] = min(abs(WOAlon+110));
WOAT = squeeze(ncread(WOAname,'t_an',[1 Eqind 1 1],[1440 1 102 1]));
% $$$ WOAT = squeeze(ncread(WOAname,'t_an',[ln140ind 1 1 1],[1 720 102 1]));
% $$$
%Shift longitudes:
[tmp ind] = min(abs(WOAlon-80));
WOAT = cat(1,WOAT(ind+1:end,:),WOAT(1:ind,:));
WOAlon = cat(1,WOAlon(ind+1:end)-360,WOAlon(1:ind));
[WOAlon,WOAdep] = ndgrid(WOAlon,WOAdep);
% $$$ [WOAlat,WOAdep] = ndgrid(WOAlat,WOAdep);
% $$$
% Calculate bias from WOA:
Tbias = temp-interp2(WOAlon',-WOAdep',WOAT',Xt,-Zt,'linear');
% $$$ Tbias = temp-interp2(WOAlat',-WOAdep',WOAT',Yt,-Zt,'linear');
%Colormap:
clim = [-3 3];
sp = 0.25;
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts)
cmap = redblue(npts-3);
% $$$ figure;
% $$$ set(gcf,'Position',[1 36 1920 970]);
subplot(2,3,rr);
contourf(Xt,-Zt,Tbias,cpts,'linestyle','none');
% $$$ contourf(Yt,-Zt,Tbias,cpts,'linestyle','none');
hold on;
[c,h] = contour(WOAlon,-WOAdep,WOAT,[0:2:35],'-k');
% $$$ [c,h] = contour(WOAlat,-WOAdep,WOAT,[0:2:35],'-k');
clabel(c,h,[0:2:35]);
[c,h] = contour(WOAlon,-WOAdep,WOAT,[20 20],'-k','linewidth',2);
% $$$ [c,h] = contour(WOAlat,-WOAdep,WOAT,[20 20],'-k','linewidth',2);
hold on;
[c,h] = contour(Xt,-Zt,temp,[20 20],'--k','linewidth',2);
% $$$ [c,h] = contour(Yt,-Zt,temp,[20 20],'--k','linewidth',2);
ylim([-300 0]);
xlim([-220 -80]);
% $$$ ylim([-300 0]);
% $$$ xlim([-15 15]);
if (rr == 3 | rr == 6)
cb = colorbar;
ylabel(cb,'Temperature Bias ($^\circ$C)');
end
if (rr <= 3)
set(gca,'xticklabel',[]);
else
xlabel('Longitude ($^\circ$E)');
end
% $$$ end
% $$$ xlabel('Latitude ($^\circ$N)');
if (rr == 1 | rr == 4)
ylabel('Depth (m)');
else
set(gca,'yticklabel',[]);
end
caxis(clim);
colormap(cmap);
% $$$ set(gca,'FontSize',15);
% $$$ title([strrep(strrep(strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ' ...
% $$$ ,'AOM'),'deg jra55',''),' may',''),'ryf8485 ','') ' - WOA13 Equatorial T ($^\circ$C)']);
text(-219,-285,RUNS{rr}{3},'Backgroundcolor','w');
poss = [0.0693 0.5271 0.2726 0.3753; ...
0.3578 0.5271 0.2726 0.3753; ...
0.6463 0.5271 0.2726 0.3753; ...
0.0693 0.1134 0.2726 0.3753; ...
0.3578 0.1134 0.2726 0.3753; ...
0.6463 0.1134 0.2726 0.3753];
set(gca,'Position',poss(rr,:));
end
%%% Plot Diathermal fluxes:
% Depth of isotherms:
Zi = zeros(xL,TL,tL);
for ti=1:tL
for xi=1:xL
tvec = squeeze(temp(xi,:,ti));
zvec = -Zt(xi,:);
tvec(isnan(tvec)) = -1000;
tvec(tvec == 0) = -1000;
tvec = tvec - 0.01*(1:zL);
Zi(xi,:,ti) = interp1(tvec,zvec,T,'linear');
ind = find(~isnan(Zi(xi,:,ti)),1,'last');
Zi(xi,(ind+1):end,ti) = max(zvec);%linspace(Zi(yi,ind;
end
end
Xi = repmat(Xt(:,1),[1 TL]);
var = cumsum(vdif+vnlc,2,'reverse'); % Vertical Mixing Flux
% $$$ var = ndif; % Numerical mixing
% $$$ var = u_sq - u.^2 + v_sq-v.^2; % EKE
% $$$ var = w_sq - w.^2; % Vertical EKE
% $$$ var = Tdxsq+Tdysq; % Horizontal T differences
% $$$ var = Tdzsq;
months = {[1:tL]}%:12]};
% $$$ var = mean(reshape(var,[163 74 12 10]),4);
% $$$ months = {[1:12]}%:12]};
% $$$ months = {[1:12],[3],[7],[11]};
% $$$ monthsu01 = {[1:4],[1],[3],[4]};
% $$$ labels = {'Annual','March','July','November'};
%Colormap and continents:
sp = 0.01;
clim = [0 0.3];
sp = 0.1e-8;
clim = [0 3e-8];
sp = 0.05e-9;
clim = [0 1e-9];
sp = 0.5;
clim = [-20 0];
sp = 2;
clim = [-30 0];
% $$$ sp = 0.5;
% $$$ clim = [-20 0];
% $$$ sp = 1;
% $$$ clim = [-30 0];
% $$$ sp = 0.01;
% $$$ clim = [0 0.3];
% $$$ sp = 1e-9;
% $$$ clim = [0 3e-8];
% $$$ sp = 0.05e-9;
% $$$ clim = [0 1e-9];
% $$$ sp = 0.2;
% $$$ clim = [0 10];
cCH = 2; % 0 = symmetric redblue
% 1 = negative definite parula
% 2 = negative parula with +ve's possible
if (cCH==0)
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts);
cmap = redblue(npts-3);
for i=1:(npts-3)
if (cmap(i,:) == 1.0)
cmap(i,:) = [0.94 0.94 0.94];
end
end
elseif (cCH>=1)
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts);
cmap = parula(npts-3);
cmap(end,:) = [0.97 0.97 0.8];
cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
end
if (cCH == 2)
% $$$ buf = 12;
buf = 2;
onebin = 0; % only allow one pink bin
clim = [clim(1) buf*sp];
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
if (onebin)
for ii = 1:buf
cmap(end+1,:) = cmap(npts-3,:);
end
cmap(end,:) = [1 0.7 0.9]; % last pink bin
else
cmap(end+1,:) = cmap(end,:); % 1st positive bin
cmap(end+buf-1,:) = [1 0.7 0.9]; % last pink bin
for ii = 1:(buf-2)
cmap(end-buf+1+ii,:) = cmap(end,:)*ii/(buf-1) + ...
cmap(end-buf+1,:)*(buf-1-ii)/(buf-1);
end
end
end
% $$$ cmap = flipud(cmap);
% MOM025 kb3seg example:
labels = {'(a) Numerical Mixing','(b) Vertical Mixing'};%,'(c) KDS75','(d) KDS100','(e) KDS135'};
% $$$ labels = {strrep(RUNS{rr}{1},'_',' ')}
poss = [0.1300 0.4800 0.4154 0.3355; ...
0.1300 0.1100 0.4154 0.3355;];
% $$$ % ACCESS-OM2 vertical res:
% $$$ labels = {'(a) KDS50','(b) GFDL50','(c) KDS75','(d) KDS100','(e) KDS135','(f) KDS50 - $\Delta t=1.5$hr'};
% $$$ poss = [0.0886 0.7160 0.3375 0.2581; ...
% $$$ 0.4503 0.7160 0.3375 0.2581; ...
% $$$ 0.0886 0.4163 0.3375 0.2581; ...
% $$$ 0.4503 0.4163 0.3375 0.2581; ...
% $$$ 0.0886 0.1142 0.3375 0.2581];
% $$$ % ACCESS-OM2 extras:
% $$$ labels = {'(a) ACCESS-OM2-1-KDS50','(b) ACCESS-OM2-1-KDS50 with $\Delta t=1.5$hr','(c) ACCESS-OM2-025-NG','(d) $1/4^\circ$','(e) $1/4^\circ$ R'};
% $$$
% $$$ % MOM025 Control dif vars:
% $$$ labels = {'(a) $\overline{u''u''}+\overline{v''v''}$', ...
% $$$ '(b) $\overline{w''w''}$','(c) $|\Delta_x T|^2 + |\Delta_y T|^2$','(d) $|\Delta_z T|^2$'};
% $$$ units = {'$m^2s^{-2}$','$m^2s^{-2}$','$^\circ C^2$','$^\circ C^2$'};
% $$$ poss = [0.05500 0.48100 0.4 0.3355; ...
% $$$ 0.53500 0.48100 0.4 0.3355; ...
% $$$ 0.05500 0.1100 0.4 0.3355; ...
% $$$ 0.53500 0.1100 0.4 0.3355;];
% $$$ figure;
set(gcf,'Position',[1923 5 1366 998]);
% $$$ set(gcf,'Position',[1 36 1920 970]);
set(gcf,'defaulttextfontsize',15);
set(gcf,'defaultaxesfontsize',15);
rr = 1;
for i=1:length(months)
subplot(2,1,1);
% $$$ subplot(3,2,rr);
% $$$ subplot(3,3,9);%rr);
contourf(Xi,nanmonmean(Zi(:,:,months{i}),3,ndays(months{i})),nanmonmean(var(:,:,months{i}),3,ndays(months{i})),cpts,'linestyle','none');
% $$$ contourf(Xu,-Zu,nanmonmean(var(:,:,months{i}),3,ndays(months{i})),cpts,'linestyle','none');
hold on;
Tout = nanmonmean(temp(:,:,months{i}),3,ndays(months{i}));
Tout(Tout==0) = NaN;
[c,h] = contour(Xt,-Zt,Tout,[0:1:35],'-k');
clabel(c,h,[0:2:35]);
[c,h] = contour(Xt,-Zt,Tout,[22.5 22.5],'-k','linewidth',2);
% $$$ if (strcmp(model,'MOM01'))
% $$$ mnu = monthsu01{i};
% $$$ else
% $$$ mnu = months{i};
% $$$ end
% $$$ ucol = [0.8706 0.4902 0];
% $$$ [c,h] = contour(Xu,-Zu,mean(u(:,:,mnu),3),[-2:0.2:-0.2],'--', ...
% $$$ 'color',ucol);
% $$$ [c,h] = contour(Xu,-Zu,mean(u(:,:,mnu),3),[0.2:0.2:2],'-', ...
% $$$ 'color',ucol);
% $$$ clabel(c,h,'color','w');
plot(Xu(:,1),-monmean(mld(:,months{i}),2,ndays(months{i})),'--','color',[0 0.5 0],'linewidth',3);
ylim([-200 0]);
% $$$ plot(Xt(1:10:end,:),-Zt(1:10:end,:),'.','color',[0.5 0.5 0.5]);
% $$$ xlim([-80 -12]);
xlim([-200 -80]);
% $$$ if (rr == 2 | rr == 4 | rr == 5)
% $$$ if (rr >= 1)
cb = colorbar;
% $$$ ylabel(cb,units{rr});
ylabel(cb,'Wm$^{-2}$');
% $$$ end
% $$$ if (rr >=2)
% $$$ if (rr>=4)
xlabel('Longitude ($^\circ$E)');
% $$$ end
% $$$ if (rr==1 | rr == 3 | rr == 5)
ylabel('Depth (m)');
% $$$ end
% $$$ if (rr == 2 | rr == 4)
% $$$ set(gca,'yticklabel',[]);
% $$$ end
% $$$ if (rr <= 1)
% $$$ set(gca,'xticklabel',[]);
% $$$ end
caxis(clim);
% $$$ text(-199,-15,labels{rr},'Backgroundcolor','w','FontSize',15,'margin',0.5);
text(-199,-10,labels{rr},'Backgroundcolor','w','FontSize',15,'margin',0.5);
set(gca,'Position',poss(rr,:));
% $$$ title([strrep(strrep(strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ' ...
% $$$ ,'AOM'),' jra55',''),' may',''),'ryf8485 ','') ...
% $$$ ' Vertical Mixing']);
end
colormap(gca, cmap);
%colormap(cmap);
end
% $$$ end
% $$$ %%% Latitudinal Slices:
% $$$
% $$$ % Load Base Variables:
% $$$ base = '/srv/ccrc/data03/z3500785/mom/mat_data/';
% $$$ model = 'MOM025_kb3seg';
% $$$ outputs = [75:79];
% $$$ load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
% $$$ ndays = diff(time_snap);
% $$$
% $$$ % Load Variable and calculate mean:
% $$$ lonsl = 110;
% $$$ load([base model sprintf(['_output%03d_varsat_' num2str(lonsl) 'W.mat'],outputs(1))]);
% $$$ vars = {'temp','u','v','kappa','taux','tauy','mld','vdif','vnlc','pmer','sufc','swrd'};
% $$$ for i=1:length(vars)
% $$$ eval([vars{i} 'a = ' vars{i} ';']);
% $$$ end
% $$$ for i=2:length(outputs)
% $$$ load([base model sprintf(['_output%03d_varsat_' num2str(lonsl) 'W.mat'],outputs(i))]);
% $$$ for i=1:length(vars)
% $$$ eval([vars{i} 'a = ' vars{i} 'a + ' vars{i} ';']);
% $$$ end
% $$$ end
% $$$ for i=1:length(vars)
% $$$ eval([vars{i} ' = ' vars{i} 'a/length(outputs);']);
% $$$ eval(['clear ' vars{i} 'a;']);
% $$$ end
% $$$ if(max(max(max(temp)))>100)
% $$$ temp = temp-273.15;
% $$$ end
% $$$
% $$$ [yL,zL,tL] = size(temp);
% $$$ TL = length(T);
% $$$
% $$$ % Depth of isotherms:
% $$$ Zi = zeros(yL,TL,tL);
% $$$ for ti=1:tL
% $$$ for yi=1:yL
% $$$ tvec = squeeze(temp(yi,:,ti));
% $$$ zvec = -Zt(yi,:);
% $$$ tvec(isnan(tvec)) = -1000;
% $$$ tvec = tvec - 0.01*(1:zL);
% $$$ Zi(yi,:,ti) = interp1(tvec,zvec,T,'linear');
% $$$ ind = find(~isnan(Zi(yi,:,ti)),1,'last');
% $$$ Zi(yi,(ind+1):end,ti) = max(zvec);%linspace(Zi(yi,ind;
% $$$ end
% $$$ end
% $$$ Yi = repmat(Yt(:,1),[1 TL]);
% $$$
% $$$ var = cumsum(vdif,2,'reverse'); % Vertical Mixing Flux
% $$$
% $$$ %Colormap and continents:
% $$$ sp = 5;
% $$$ clim = [-150 0];
% $$$
% $$$ cCH = 1; % 0 = symmetric redblue
% $$$ % 1 = negative definite parula
% $$$ % 2 = negative parula with +ve's possible
% $$$ if (cCH==0)
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ npts = length(cpts);
% $$$ cmap = redblue(npts-3);
% $$$ for i=1:(npts-3)
% $$$ if (cmap(i,:) == 1.0)
% $$$ cmap(i,:) = [0.94 0.94 0.94];
% $$$ end
% $$$ end
% $$$ elseif (cCH>=1)
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ npts = length(cpts);
% $$$ cmap = parula(npts-3);
% $$$ cmap(end,:) = [0.97 0.97 0.8];
% $$$ cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
% $$$ end
% $$$ if (cCH == 2)
% $$$ buf = 6;
% $$$ clim = [clim(1) buf*sp];
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ cmap(end+1,:) = cmap(end,:); % 1st positive bin
% $$$ cmap(end+buf-1,:) = [1 0.7 0.9]; % last pink bin
% $$$ for ii = 1:(buf-2)
% $$$ cmap(end-buf+1+ii,:) = cmap(end,:)*ii/(buf-1) + ...
% $$$ cmap(end-buf+1,:)*(buf-1-ii)/(buf-1);
% $$$ end
% $$$ end
% $$$
% $$$ % $$$ var = (vdif+vnlc)/rho0/Cp*86400; % Vertical Mixing Transformation
% $$$ % $$$ var = (pmer+sufc)/rho0/Cp*86400; % Surface Forcing Transformation
% $$$ % $$$ clim = [-1 1]*1e-5*86400; % FOR WMT
% $$$ % $$$ sp = 0.1*1e-5*86400;
% $$$ % $$$ doWMT = 1;
% $$$
% $$$ months = {[1:12],[3],[8]};
% $$$ monthsu01 = {[1:4],[1],[3],[4]};
% $$$ labels = {'Annual','March','August'};
% $$$
% $$$ % $$$ %Save for schematic:
% $$$ % $$$ Xl = Yi;
% $$$ % $$$ Yl = nanmonmean(Zi(:,:,months{i}),3,ndays(months{i}));
% $$$ % $$$ Zl = nanmonmean(vdif(:,:,months{i}),3,ndays(months{i}));
% $$$ % $$$ XlC = Yt;
% $$$ % $$$ YlC = -Zt;
% $$$ % $$$ ZlC = monmean(temp(:,:,months{i}),3,ndays(months{i}));
% $$$
% $$$ % $$$ [tmp Eqind] = min(abs(Yu(:,1)));
% $$$ % $$$ tauweight = abs(taux(Eqind,:))*200;
% $$$ % $$$ % Wind stress vectors:
% $$$ % $$$ sp =5;
% $$$ % $$$ yvec = Yu(:,1);
% $$$ figure;
% $$$ set(gcf,'Position',[1 36 1920 970]);
% $$$ set(gcf,'defaulttextfontsize',20);
% $$$ set(gcf,'defaultaxesfontsize',20);
% $$$ for i=1:length(months)
% $$$ subplot(3,1,i);
% $$$ contourf(Yi,nanmonmean(Zi(:,:,months{i}),3,ndays(months{i})),nanmonmean(var(:,:,months{i}),3,ndays(months{i})),cpts,'linestyle','none');
% $$$ hold on;
% $$$ [c,h] = contour(Yt,-Zt,monmean(temp(:,:,months{i}),3,ndays(months{i})),[0:1:35],'-k');
% $$$ clabel(c,h,[0:2:35]);
% $$$ [c,h] = contour(Yt,-Zt,monmean(temp(:,:,months{i}),3, ...
% $$$ ndays(months{i})),[21.5 21.5],'-k','linewidth',2);
% $$$ if (strcmp(model,'MOM01'))
% $$$ mnu = monthsu01{i};
% $$$ else
% $$$ mnu = months{i};
% $$$ end
% $$$ ucol = [0.8706 0.4902 0];
% $$$ [c,h] = contour(Yu,-Zu,mean(u(:,:,mnu),3),[-2:0.2:-0.2],'--', ...
% $$$ 'color',ucol);
% $$$ [c,h] = contour(Yu,-Zu,mean(u(:,:,mnu),3),[0.2:0.2:2],'-', ...
% $$$ 'color',ucol);
% $$$ plot(Yu(:,1),-monmean(mld(:,months{i}),2,ndays(months{i})),'--','color',[0 0.5 0],'linewidth',3);
% $$$ ylim([-200 0]);
% $$$ %ylim([-250 0]);
% $$$ xlim([-10 10]);
% $$$ cb = colorbar;
% $$$ if (doWMT)
% $$$ ylabel(cb,'m/day');
% $$$ else
% $$$ ylabel(cb,'Wm$^{-2}$');
% $$$ end
% $$$ xlabel('Latitude ($^\circ$N)');
% $$$ ylabel('Depth (m)');
% $$$ caxis(clim);
% $$$ text(-9.6,-188,labels{i},'Backgroundcolor','w','FontSize',20);
% $$$ text(9.6,-188,[num2str(lonsl) '$^\circ$W'],'Backgroundcolor','w','FontSize',20,'HorizontalAlignment','Right');
% $$$
% $$$ % $$$ %Add wind-stress vectors:
% $$$ % $$$ pos = get(gca,'Position')
% $$$ % $$$ wsh = axes('Position',[pos(1) pos(2)+pos(4)+0.005 pos(3) 0.03]);
% $$$ % $$$ % $$$ for ii=1:sp:length(yvec)
% $$$ % $$$ plot(0,0,'o','MarkerSize',abs(mean(mean(taux(yvec>=-10 & yvec<=10,months{i}),2),1))*200);
% $$$ % $$$ hold on;
% $$$ % $$$ % $$$ end
% $$$ % $$$ %quiver(yvec,zeros(size(yvec)),mean(taux(1:sp:end,months{i}),2),mean(tauy(1:sp:end,months{i}),2));
% $$$ % $$$ xlim([-10 10]);
% $$$ % $$$ ylim([-1 1]);
% $$$ % $$$ box off;axis off;
% $$$ % $$$ set(wsh,'Position',[[pos(1) pos(2)+pos(4)+0.005 pos(3) 0.03]]);
% $$$
% $$$ LabelAxes(gca,i,20,0.008,0.95);
% $$$ end
% $$$ colormap(cmap);
% $$$