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Heat_Budget_Plot_Variances.m
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Heat_Budget_Plot_Variances.m
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% This script makes plots of the spatial structure of the
% diathermal fluxes in the MOM simulations.
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]}, ...
% $$$ {'MOM025',[15:19]}, ...
% $$$ {'MOM025_kb1em5',[95:99]}, ...
% $$$ {'MOM025_kb1em6',[30]}, ...
% $$$ % ACCESS-OM2 Gadi runs:
% $$$ % 1-degree
% $$$ {'ACCESS-OM2_1deg_jra55_ryf',[31]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_sgl',[31]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_gfdl50',[31]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds75',[3135]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds100',[3135]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds135',[3135]}, ...
% $$$ % 1/4-degree
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_norediGM',[7680]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[7680]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_noGM',[7680]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_rediGM_kb1em5',[7781]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_rediGM_kbvar',[7781]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf_kds75',[7680]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf8485_gmredi',[73]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[80]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[300]}, ...
% $$$ {'ACCESS-OM2_01deg_jra55_ryf',[636643]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_rdf',[51:55]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_rdf_pert',[51:55]}, ...
% $$$ {'ACCESS-OM2_01deg_jra55_ryf_k_smag_iso3',[640643]}, ...
{'ACCESS-OM2_025deg_jra55_ryf_norediGM',[81]}, ...
};
cols = {'b','r','k','m','g'};
rr = 1;
% $$$ figure;
% $$$ set(gcf,'Position',[87 52 848 937]); % North Atlantic Two panel.
% $$$ for rr = 1:length(RUNS);
outputs = RUNS{rr}{2};
model = RUNS{rr}{1};
% $$$ clearvars -except base RUNS rr outputs model;
load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
if (~exist('ndays'))
ndays = diff(time_snap);
ndays = ndays(1:12);
end
if (ndays(end) <= 0); ndays(end) = 365-ndays(end);end;
region = 'Global';
nyrs = tL/12;
if (round(nyrs)~=nyrs)
anavg = 1;
nyrs = tL;
months = {[1:1]};
else
anavg = 0;
months = {[1:12]};
end
yrs = 1:nyrs;
ycur = 1;
%% Variances:
Tl = 15;
% FAKE IT, with ndays:
ndays = [31 28 31 30 31 30 31 31 30 31 30 31];
% $$$ VARS = {'udxsq','vdxsq','udysq','vdysq','rey_bih','aiso','EKE','wvar','Tdxsq','Tdysq','Tdzsq'};
VARS = {'udxsq','vdxsq','udysq','vdysq','Tdxsq','Tdysq','Tdzsq'};
TYPE = 'variances';
name = [base model sprintf('_output%03d',outputs(1)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']
for ii=1:length(VARS)
VAR = VARS{ii}
eval(['load(name,''' VAR ''');']);
eval([VAR '(isnan(' VAR ')) = 0.0;']);
if (length(outputs)==1)
eval([VAR ' = reshape(' VAR ',[length(' VAR '(:,1,1)) length(' VAR '(1,:,1)) 12 nyrs]);']);
else
eval([VAR 'a = ' VAR ';']);
for i=2:length(outputs)
name = [base model sprintf('_output%03d',outputs(i)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']
eval(['load(name,''' VAR ''');']);
eval([VAR '(isnan(' VAR ')) = 0.0;']);
eval([VAR 'a = ' VAR 'a + ' VAR ';']);
end
eval([VAR ' = ' VAR 'a/length(outputs);']);
end
eval([VAR ' = mean(monmean(' VAR ',3,ndays),4);']);
eval([VAR '(' VAR '==0) = NaN;']);
end
Tdh = sqrt(0.5*(Tdxsq+Tdysq));
Tdv = sqrt(Tdzsq);
udh = sqrt(0.25*(udxsq+vdxsq+udysq+vdysq));
udhd = sqrt(0.5*(udxsq+vdysq));
udhc = sqrt(0.5*(udysq+vdxsq));
% $$$ VARS = {'EKE','wvar','Tdhsq','Tdzsq'};
% $$$ names = {'(a) $\overline{u''u''}+\overline{v''v''}$',['(g) $\' ...
% $$$ 'overline{w''w''}$'],['(c) $|\Delta_x T|^2 + ' ...
% $$$ '|\Delta_y T|^2$'],'(e) $|\Delta_z T|^2$'};
% $$$ units = {'$m^2s^{-1}$','$m^2s^{-1}$','$^\circ C^2$','$^\circ C^2$'};
% $$$ clims = {[0 0.08],[0 0.3e-7],[0 4e-9],[0 40]};
% $$$
% $$$ VARS = {'rey_bih','aiso','Tdhsq','Tdzsq'};
% $$$ names = {'(a) $Re_\Delta$',['(g) $A_H$'],['(c) $|\Delta_x T|^2 + ' ...
% $$$ '|\Delta_y T|^2$'],'(e) $|\Delta_z T|^2$'};
% $$$ units = {'','$m^4s^{-1}$','$^\circ C^2$','$^\circ C^2$'};
% $$$ clims = {[0 200],[0 0.5e12],[0 4e-9],[0 40]};
VARS = {'udhd','udhc','Tdh','Tdv'};
% $$$ names = {'(b) $\sqrt{\frac{1}{4}\left(|\Delta_x u|^2+|\Delta_y u|^2+|\Delta_x v|^2+|\Delta_y v|^2\right)}$', ...
names = {'(c) $\sqrt{\frac{1}{2}\left(|\Delta_x u|^2+|\Delta_y v|^2\right)}$', ...
'(d) $\sqrt{\frac{1}{2}\left(|\Delta_y u|^2+|\Delta_x v|^2\right)}$', ...
'(c) $\sqrt{\frac{1}{2}\left(|\Delta_x \Theta|^2+|\Delta_y \Theta|^2\right)}$', ...
'(e) $\sqrt{|\Delta_z \Theta|^2}$'};
units = {'$ms^{-1}$','$ms^{-1}$','$^\circ C$','$^\circ C$'};
clims = {[0 0.06],[0 0.06],[0 1],[0 6]};
%%% Plot spatial pattern:
try
obj = matfile([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
LAND = obj.SST(:,:,1);
catch
LAND = zeros(size(FlM(:,:,1)));
end
[xL,yL] = size(lon);
xvec = 1:4:xL;
yvec = 1:4:yL;
%Colormaps:
% $$$ clims = {[0 0.02],[0 0.3e-7],[0 4e-9],[0 20]};
nlv = 50;
cmapbase = parula(nlv-3);
cmapbase(end,:) = [0.97 0.97 0.8];
cmapbase(end-1,:) = (cmapbase(end-1,:)+cmapbase(end,:))/2;
cmapbase = flipud(cmapbase);
for i=1:length(VARS)
sp = (clims{i}(2)-clims{i}(1))/(nlv-3);
cpts{i} = [-1e10 clims{i}(1):sp:clims{i}(2) 1e10];
cmap{i} = cmapbase;
LANDmask{i} = LAND;
LANDmask{i}(isnan(LAND)) = clims{i}(1)-sp/2;
LANDmask{i}(~isnan(LAND)) = NaN;
cmap{i}(2:(end+1),:) = cmapbase;
cmap{i}(1,:) = [0 0 0];
climns{i} = [clims{i}(1)-sp clims{i}(2)];
end
%Mean of all months:
figure;
set(gcf,'Position',[1921 1 1920 1005]);
set(gcf,'defaulttextfontsize',15);
set(gcf,'defaultaxesfontsize',15);
poss = [0.1300 0.58 0.3548 0.3692; ...
0.5700 0.58 0.3548 0.3692; ...
0.1300 0.1100 0.3548 0.3692; ...
0.5700 0.1100 0.3548 0.3692];
for i=1:length(VARS)
subplot(2,2,i);
X = lon(xvec,yvec);
Y = lat(xvec,yvec);
eval(['Z = ' VARS{i} '(xvec,yvec);']);
Z(Z<clims{i}(1)) = clims{i}(1);
contourf(X,Y,Z,cpts{i},'linestyle','none');
hold on;
contourf(X,Y,LANDmask{i}(xvec,yvec),climns{i},'linestyle','none');
caxis(climns{i});
cb = colorbar;
ylabel(cb,units{i});
ylim(cb,clims{i});
if (i>=3)
xlabel('Longitude ($^\circ$E)');
end
if (i==1 | i == 3)
ylabel('Latitude ($^\circ$N)');
end
set(gca,'xtick',[-270:30:60]);
set(gca,'ytick',[-75:15:75]);
ylim([-60 60]);
colormap(gca,cmap{i});
% $$$ title('$22.5^\circ$C isotherm');
title('$15^\circ$C isotherm');
text(-275,54,[names{i}],'BackgroundColor','w','FontSize',13);% ' on ' num2str(Tl) '$^\circ$C isotherm']);
set(gca,'Position',poss(i,:));
end
% $$$ %%% Plot isotherm spacing:
% $$$ Tlm = 22;
% $$$ Tlp = 23;
% $$$ name = [base model sprintf('_output%03d',outputs(1)) '_Ziso_T' strrep(num2str(Tlp),'.','p') 'C.mat'];
% $$$ load(name);
% $$$ Zp = ziso;
% $$$ name = [base model sprintf('_output%03d',outputs(1)) '_Ziso_T' strrep(num2str(Tlm),'.','p') 'C.mat'];
% $$$ load(name);
% $$$ Zm = ziso;
% $$$
% $$$ try
% $$$ obj = matfile([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$ LAND = obj.SST(:,:,1);
% $$$ catch
% $$$ LAND = zeros(size(FlM(:,:,1)));
% $$$ end
% $$$
% $$$ months = {[1:12]}; labels = {'Annual'};
% $$$
% $$$ %Colormap and continents:
% $$$ sp = 0.5;
% $$$ clim = [0 50];
% $$$
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ npts = length(cpts);
% $$$ cmap = parula(npts-3);
% $$$ cmap(end,:) = [0.97 0.97 0.8];
% $$$ cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
% $$$
% $$$ tmp = LAND;
% $$$ tmp(isnan(LAND)) = clim(1)-sp/2;
% $$$ tmp(~isnan(LAND)) = NaN;
% $$$ LAND = tmp;
% $$$ cmap(2:(end+1),:) = cmap;
% $$$ cmap(1,:) = [0 0 0];
% $$$
% $$$ climn = [clim(1)-sp clim(2)];
% $$$
% $$$ % $$$ Zp(isnan(Zp)) == 0;
% $$$ Zdel = Zm-Zp;
% $$$ % $$$ figure;
% $$$ Z = nanmonmean(Zdel,3,ndays);
% $$$ Z(Z==0) = NaN;
% $$$ Z(Z<clim(1)) = clim(1);
% $$$ contourf(lon,lat,Z,cpts,'linestyle','none');
% $$$ hold on;
% $$$ contourf(lon,lat,LAND,[clim(1)-sp clim(1)],'linestyle','none');
% $$$ caxis(climn);
% $$$ cb = colorbar;
% $$$ ylabel(cb,'m');
% $$$ ylim(cb,clim);
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ set(gca,'xtick',[-270:30:60]);
% $$$ set(gca,'ytick',[-75:15:75]);
% $$$ % $$$ set(gca,'Position',[poss(i,:)]);
% $$$ ylim([-45 45]);
% $$$ set(gca,'FontSize',15);
% $$$ colormap(cmap);
% $$$ title('MOM025 kb3seg $22^\circ$C and $23^\circ$C Isotherm Spacing');
% $$$
% $$$ %%% Plot spatial pattern of net heat flux and SST:
% $$$
% $$$ % Load Variable and calculate mean:
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$ shfluxa = shflux;
% $$$ SSTa = SST;
% $$$ for i=2:length(outputs)
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(i))]);
% $$$ shfluxa = shfluxa+shflux;
% $$$ SSTa = SSTa+SST;
% $$$ end
% $$$ shflux = shfluxa/length(outputs);
% $$$ SST = SSTa/length(outputs);
% $$$
% $$$ % diff two runs:
% $$$ SSTsave = monmean(SST,3,ndays);
% $$$ shfluxsave = monmean(shflux,3,ndays);
% $$$ % $$$ SST = monmean(SST,3,ndays)-SSTsave;
% $$$ % $$$ shflux = monmean(shflux,3,ndays)-shfluxsave;
% $$$ SST = SST-SSTsave;
% $$$ shflux = shflux-shfluxsave;
% $$$
% $$$ % Diff flux components:
% $$$ ffname = '/srv/ccrc/data03/z3500785/mom/ice_month.ncra0.39.diff.nc';
% $$$ LH = -ncread(ffname,'LH');
% $$$ SH = -ncread(ffname,'SH');
% $$$ LW = ncread(ffname,'LW');
% $$$ SW = -ncread(ffname,'SW');
% $$$ xvec = 1:2:xL;
% $$$ yvec = 1:2:yL;
% $$$ subplot(2,2,1);
% $$$ contourf(lon(xvec,yvec),lat(xvec,yvec),LH(xvec,yvec),[-200 -20:1:20 200],'linestyle','none');
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ colorbar;
% $$$ caxis([-20 20]);
% $$$ title('Latent Heat Flux Anomaly (Wm$^{-2}$)');
% $$$ set(gca,'color','k');
% $$$ subplot(2,2,2);
% $$$ contourf(lon(xvec,yvec),lat(xvec,yvec),SH(xvec,yvec),[-200 -20:1:20 200],'linestyle','none');
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ colorbar;
% $$$ caxis([-20 20]);
% $$$ title('Sensible Heat Flux Anomaly (Wm$^{-2}$)');
% $$$ set(gca,'color','k');
% $$$ subplot(2,2,3);
% $$$ contourf(lon(xvec,yvec),lat(xvec,yvec),LW(xvec,yvec),[-200 -20:1:20 200],'linestyle','none');
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ colorbar;
% $$$ caxis([-20 20]);
% $$$ title('Long-wave Heat Flux Anomaly (Wm$^{-2}$)');
% $$$ set(gca,'color','k');
% $$$ subplot(2,2,4);
% $$$ contourf(lon(xvec,yvec),lat(xvec,yvec),LW(xvec,yvec)+LH(xvec,yvec)+SH(xvec,yvec),[-200 -20:1:20 200],'linestyle','none');
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ colorbar;
% $$$ caxis([-20 20]);
% $$$ title('Sum (Wm$^{-2}$)');
% $$$ set(gca,'color','k');
% $$$ colormap(redblue)
% $$$
% $$$ %If MOM01, fix NaN's in grid:
% $$$ if (strfind(model,'01'))
% $$$ lon = repmat(lon(:,500),[1 yL]);
% $$$ latv = nanmean(lat,1);
% $$$ lat = repmat(latv,[xL 1]);
% $$$ end
% $$$
% $$$ shflux20p = shflux;
% $$$ shflux20p(SST<20) = 0;
% $$$ shflux1520 = shflux;
% $$$ shflux1520(SST<15 & SST>20) = 0;
% $$$ shflux15m = shflux;
% $$$ shflux15m(SST>15) = 0;
% $$$
% $$$ %Sum of all positives:
% $$$ shfluxA = mean(shflux,3);
% $$$ shfluxA1520 = mean(shflux1520,3);
% $$$ shfluxA20p = mean(shflux20p,3);
% $$$ shfluxA15m = mean(shflux20m,3);
% $$$ shfluxP = nansum(shfluxA(shfluxA>0).*area(shfluxA>0))/1e15
% $$$ shfluxM = nansum(shfluxA(shfluxA<0).*area(shfluxA<0))/1e15
% $$$
% $$$ %Sum of mean flux above mean isotherm:
% $$$ SSTA = mean(SST,3);
% $$$ isot = 21.5;
% $$$ shfluxP = nansum(shfluxA(SSTA>=isot).*area(SSTA>=isot))/1e15
% $$$ shfluxM = nansum(shfluxA(SSTA<isot).*area(SSTA<isot))/1e15
% $$$
% $$$ [xL,yL] = size(lon);
% $$$ xvec = 1:3:xL;
% $$$ yvec = 1:3:yL;
% $$$ txtmonth = {'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'};
% $$$
% $$$ months = {[1:12], ...
% $$$ [3], ...
% $$$ [7], ...
% $$$ [11]};
% $$$
% $$$ labels = {'(a) Annual', ...
% $$$ '(b) March', ...
% $$$ '(c) July', ...
% $$$ '(d) November'};
% $$$
% $$$ clim = [-200 200];
% $$$ sp = 20;
% $$$
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ npts = length(cpts)
% $$$ cmap = redblue(npts-3);
% $$$
% $$$ figure;
% $$$ set(gcf,'Position',[3 59 1916 914]);
% $$$ set(0,'defaulttextfontsize',20);
% $$$ set(0,'defaultaxesfontsize',20);
% $$$ poss = [0.1300 0.415 0.7693 0.56; ...
% $$$ 0.1300 0.1 0.2343 0.2680; ...
% $$$ 0.3951 0.1 0.2343 0.2680; ...
% $$$ 0.6681 0.1 0.2343 0.2680];
% $$$ for i=1:length(months)
% $$$ if (i == 1)
% $$$ subplot(5,3,[1 9]);
% $$$ else
% $$$ subplot(5,3,[10 13]+(i-2));
% $$$ end
% $$$ X = lon(xvec,yvec);
% $$$ Y = lat(xvec,yvec);
% $$$ Z = monmean(shflux(:,:,months{i}),3,ndays(months{i}));
% $$$ Z2 = monmean(SST(:,:,months{i}),3,ndays(months{i}));
% $$$ Z = Z(xvec,yvec);
% $$$ Z2 = Z2(xvec,yvec);
% $$$ Z(Z==0) = NaN;
% $$$
% $$$ % Map projection:
% $$$ % $$$ map = 1;
% $$$ % $$$ ax = worldmap('World');
% $$$ % $$$ setm(ax, 'Origin', [0 260 0])
% $$$ % $$$ contourfm(Y,X,Z,[-1e10 -500:20:500 1e10],'linestyle','none');
% $$$ contourf(X,Y,Z,cpts,'linestyle','none');
% $$$ hold on;
% $$$ % $$$ [c,h] = contourm(Y,X,Z2,[-3:2:21 25:2:35],'-k');
% $$$ [c,h] = contour(X,Y,Z2,[-3:2:35],'-k');
% $$$ clabel(c,h);
% $$$ % $$$ hand = clabelm(c,h);
% $$$ % $$$ set(hand,'FontSize',10,'BackgroundColor','none');
% $$$ if (i == 1)
% $$$ [c,h] = contour(X,Y,Z2,[21.5 21.5],'-k','linewidth',2);
% $$$ clabel(c,h)
% $$$ % $$$ [c,h] = contourm(Y,X,Z2,[23 23],'-k','linewidth',2);
% $$$ % $$$ hand = clabelm(c,h);
% $$$ % $$$ set(hand,'FontSize',10,'BackgroundColor','none');
% $$$ end
% $$$ caxis(clim);
% $$$ if (i==1)
% $$$ cb = colorbar;
% $$$ ylabel(cb,'Wm$^{-2}$');
% $$$ end
% $$$ ylim([-75 75]);
% $$$ if (i>1)
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ end
% $$$ if (i<=2)
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ end
% $$$ if (i>1)
% $$$ % $$$ text(-277,53,labels{i},'BackgroundColor','w');
% $$$ text(-277,64,labels{i},'BackgroundColor','w','margin',0.01);
% $$$ set(gca,'xtick',[-240:60:60]);
% $$$ else
% $$$ % $$$ text(-279,55,labels{i},'BackgroundColor','w');
% $$$ text(-279,69,labels{i},'BackgroundColor','w','margin',0.01);
% $$$ set(gca,'xtick',[-270:30:60]);
% $$$ end
% $$$ set(gca,'ytick',[-60:30:60]);
% $$$ set(gca,'Position',[poss(i,:)]);
% $$$ set(gca,'color','k');
% $$$
% $$$ % $$$ setm(gca, 'MlabelParallel', 'south');
% $$$ % $$$ setm(gca, 'MlabelParallel', 'south');
% $$$ % $$$ land = shaperead('landareas.shp', 'UseGeoCoords', true);
% $$$ % $$$ geoshow(land, 'FaceColor', [0 0 0])
% $$$ end
% $$$ colormap(cmap);
% $$$
% $$$
% $$$ %% Plot SST difference and shflux difference plots:
% $$$
% $$$ % $$$ % Load MOM01 data:
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag/';
% $$$ % $$$ model = 'MOM01';
% $$$ % $$$ outputs = [111 222];
% $$$ % $$$ load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
% $$$ % $$$ ndays = diff(time_snap);
% $$$ % $$$
% $$$ % $$$ [xL,yL] = size(lon)
% $$$ % $$$ %If MOM01, fix NaN's in grid:
% $$$ % $$$ if (strfind(model,'01'))
% $$$ % $$$ lonv = lon(:,500);
% $$$ % $$$ latv = nanmean(lat,1);
% $$$ % $$$ [tmp ind] = min(abs(latv - 60))
% $$$ % $$$ [lon,lat] = ndgrid(lonv,latv(1:ind));
% $$$ % $$$ end
% $$$ % $$$ MOM01lon = lon;
% $$$ % $$$ MOM01lat = lat;
% $$$ % $$$
% $$$ % $$$ load([base model sprintf('_output%03d_SurfaceVars.mat', ...
% $$$ % $$$ outputs(1))]);
% $$$ % $$$ MOM01shflux = shflux(:,1:ind,:);
% $$$ % $$$ MOM01SST = SST(:,1:ind,:);
% $$$
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag_kb3seg/mat_data/';
% $$$ % $$$ model = 'MOM025_kb3seg';
% $$$ % $$$ outputs = [75:79];
% $$$ % $$$
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag_kb1em5/mat_data/';
% $$$ % $$$ model = 'MOM025_kb1em5';
% $$$ % $$$ outputs = 94;
% $$$ % $$$
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag/mat_data/';
% $$$ % $$$ model = 'MOM025';
% $$$ % $$$ outputs = [8:12];
% $$$ % $$$ outputs = [14]
% $$$ % $$$
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag_kb1em6/mat_data/';
% $$$ % $$$ model = 'MOM025_kb1em6';
% $$$ % $$$ outputs = 30;
% $$$
% $$$ % $$$ % Load ACCESS-OM2:
% $$$ % $$$ model = 'ACCESS-OM2_1deg_jra55_ryf8485_kds50_may';
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/mom/mat_data/';
% $$$ % $$$ outputs = 36;
% $$$
% $$$ load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
% $$$ ndays = diff(time_snap);
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$
% $$$ % Average all years:
% $$$ if (length(yrs)>1)
% $$$ shflux = reshape(shflux,[length(shflux(:,1,1)) length(shflux(1,:,1)) 12 nyrs]);
% $$$ shflux = mean(shflux(:,:,:,yrs),4);
% $$$ SST = reshape(SST,[length(SST(:,1,1)) length(SST(1,:,1)) 12 nyrs]);
% $$$ SST = mean(SST(:,:,:,yrs),4);
% $$$ ndays = ndays(1:12);
% $$$ else
% $$$ shfluxa = shflux;
% $$$ SSTa = SST;
% $$$ SSTa = SSTa(:,:,13:24);
% $$$ ndays = ndays(1:12);
% $$$ for i=2:length(outputs)
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(i))]);
% $$$ shfluxa = shfluxa+shflux;
% $$$ SSTa = SSTa+SST;
% $$$ end
% $$$ shflux = shfluxa/length(outputs);
% $$$ SST = SSTa/length(outputs);
% $$$ end
% $$$
% $$$ if (max(max(max(SST)))>100)
% $$$ SST = SST-273.15;
% $$$ end
% $$$
% $$$ % Calculate bias from first run:
% $$$ % $$$ load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
% $$$ % $$$ ndays = diff(time_snap);
% $$$ if (rr >=2)
% $$$ SSTcur = SST;
% $$$ load([base RUNS{1}{1} sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$ SST = reshape(SST,[length(SST(:,1,1)) length(SST(1,:,1)) 12 nyrs]);
% $$$ SST = mean(SST(:,:,:,yrs),4);
% $$$ if (max(max(max(SST)))>100)
% $$$ SST = SST-273.15;
% $$$ end
% $$$ SSTbias = monmean(SSTcur,3,ndays) - monmean(SST,3,ndays);
% $$$ else
% $$$ % WOA13 SST:
% $$$ WOAname = '/srv/ccrc/data03/z3500785/WOA13/woa13_decav_t00_04v2.nc';
% $$$ WOASST = ncread(WOAname,'t_an',[1 1 1 1],[1440 720 1 1]);
% $$$ [WOAlon,WOAlat] = ndgrid(ncread(WOAname,'lon'),ncread(WOAname,'lat'));
% $$$
% $$$ %Shift longitudes:
% $$$ [tmp ind] = min(abs(WOAlon(:,1)-80));
% $$$ WOASST = cat(1,WOASST(ind+1:end,:),WOASST(1:ind,:));
% $$$ WOAlon = cat(1,WOAlon(ind+1:end,:)-360,WOAlon(1:ind,:));
% $$$ WOAlat = cat(1,WOAlat(ind+1:end,:),WOAlat(1:ind,:));
% $$$
% $$$ % OISST:
% $$$ SATname = '/srv/ccrc/data03/z3500785/OISST/sst.day.mean.ltm.1971-2000.nc';
% $$$ SATSST = zeros(1440,720);
% $$$ for i=1:365
% $$$ i
% $$$ SATSST = SATSST + ncread(SATname,'sst',[1 1 i],[1440 720 1]);
% $$$ end
% $$$ SATSST = SATSST/365;
% $$$ [SATlon,SATlat] = ndgrid(ncread(SATname,'lon'),ncread(SATname,'lat'));
% $$$
% $$$ %Shift longitudes:
% $$$ [tmp ind] = min(abs(SATlon(:,1)-80));
% $$$ SATSST = cat(1,SATSST(ind+1:end,:),SATSST(1:ind,:));
% $$$ SATlon = cat(1,SATlon(ind+1:end,:)-360,SATlon(1:ind,:));
% $$$ SATlat = cat(1,SATlat(ind+1:end,:),SATlat(1:ind,:));
% $$$
% $$$ % Calculate bias from WOA:
% $$$ %SSTbias = monmean(SST,3,ndays)-interp2(WOAlon',WOAlat',WOASST',lon,lat,'linear');
% $$$ %SSTbias = SST-interp2(WOAlon',WOAlat',WOASST',lon,lat,'linear');
% $$$ SSTbias = SST-interp2(SATlon',SATlat',SATSST',lon,lat,'linear');
% $$$ % $$$ for i=1:12
% $$$ % $$$ SST(:,:,i) = interp2(MOM01lon',MOM01lat',MOM01SST(:,:,i)',lon,lat,'linear')-SST(:,:,i);
% $$$ % $$$ shflux(:,:,i) = interp2(MOM01lon',MOM01lat',MOM01shflux(:,:,i)',lon,lat,'linear')-shflux(:,:,i);
% $$$ % $$$ end
% $$$ end
% $$$
% $$$ [xL,yL] = size(lon);
% $$$ xvec = 1:2:xL;
% $$$ yvec = 1:2:yL;
% $$$
% $$$ % $$$ figure;
% $$$ % $$$ set(gcf,'Position',[3 59 1916 914]);
% $$$ % $$$ set(gcf,'defaulttextfontsize',15);
% $$$ % $$$ set(gcf,'defaultaxesfontsize',15);
% $$$ % $$$ poss = [0.15 0.56 0.3 0.34; ...
% $$$ % $$$ 0.48 0.56 0.3 0.34; ...
% $$$ % $$$ 0.15 0.1 0.3 0.34; ...
% $$$ % $$$ 0.48 0.1 0.3 0.34];
% $$$ clvls = [-1e10 -1:0.05:1 1e10];
% $$$ subplot(2,3,rr);
% $$$ contourf(lon(xvec,yvec),lat(xvec,yvec),SSTbias(xvec,yvec),clvls,'linestyle', ...
% $$$ 'none');
% $$$ hold on;
% $$$ % $$$ contour(lon,lat,SSTbias,[-3 -2 -1 1 2 3],'-k');
% $$$ if (rr == 1)
% $$$ contour(lon,lat,SSTbias,[-1:0.5:1],'-k');
% $$$ end
% $$$ set(gca,'color','k');
% $$$ % $$$ title('$\kappa_B=10^{-5}$ - WOA13 SST Year 2 ($^\circ$C)');
% $$$ if (rr == 1)
% $$$ title([strrep(strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ','AOM'),'deg jra55',''),' may','') ' - WOA SST ($^\circ$C)']);
% $$$ else
% $$$ title([strrep(strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ','AOM'),'deg jra55',''),' may','') ' - kds50 SST ($^\circ$C)']);
% $$$ end
% $$$ if (rr == 1)
% $$$ caxis([-1 1]);
% $$$ else
% $$$ caxis([-0.5 0.5]);
% $$$ end
% $$$ colorbar;
% $$$ colormap(redblue(length(clvls)-1));
% $$$ set(gca,'FontSize',15);
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ % $$$ set(gca,'Position',poss(rr,:));
% $$$ end
% $$$
% $$$
% $$$ %
% $$$ for i=1:length(months)
% $$$ if (i == 1)
% $$$ subplot(5,3,[1 9]);
% $$$ else
% $$$ subplot(5,3,[10 13]+(i-2));
% $$$ end
% $$$ X = lon(xvec,yvec);
% $$$ Y = lat(xvec,yvec);
% $$$ Z = monmean(shflux(:,:,months{i}),3,ndays(months{i}));
% $$$ Z2 = monmean(SST(:,:,months{i}),3,ndays(months{i}));
% $$$ Z = Z(xvec,yvec);
% $$$ Z2 = Z2(xvec,yvec);
% $$$ % $$$ contourf(X,Y,Z2,[-1e10 -5:0.25:5 1e10],'linestyle','none');
% $$$ contourf(X,Y,Z,[-1e10 -500:10:500 1e10],'linestyle','none');
% $$$ hold on;
% $$$ % $$$ quiver(lon(xvec2,yvec2),lat(xvec2,yvec2),tau_x(xvec2,yvec2),tau_y(xvec2,yvec2),3,'-k');
% $$$ % $$$ if (i==1)
% $$$ % $$$ [c,h] = contour(X,Y,Z,[-100:10:-10],'--k');
% $$$ % $$$ [c,h] = contour(X,Y,Z,[10:10:100],'-k');
% $$$ % $$$ end
% $$$ % $$$ else
% $$$ % $$$ [c,h] = contour(X,Y,Z2,[-3:4:35],'-k');
% $$$ % $$$ end
% $$$ % $$$ clabel(c,h);
% $$$ caxis([-100 100]);
% $$$ if (i==1)
% $$$ cb = colorbar;
% $$$ % $$$ ylabel(cb,'$^\circ$C');
% $$$ ylabel(cb,'Wm$^{-2}$');
% $$$ end
% $$$ ylim([-75 60]);
% $$$ if (i>1)
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ end
% $$$ if (i<=2)
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ end
% $$$ if (i>1)
% $$$ text(-276,53,labels{i},'BackgroundColor','w');
% $$$ else
% $$$ text(-278,55,labels{i},'BackgroundColor','w');
% $$$ end
% $$$ set(gca,'Position',[poss(i,:)]);
% $$$ set(gca,'color','k');
% $$$ end
% $$$ colormap(redblue);
% $$$
% $$$ %%% Outcrop area plot:
% $$$
% $$$ Aout = zeros(size(Te));
% $$$ for i=1:length(Te)
% $$$ i
% $$$ Aout(i) = nansum(area(mean(SST,3)>Te(i)));
% $$$ end
% $$$ figure;
% $$$ plot(Aout/1e6,Te,'-k','linewidth',2);
% $$$ xlabel('Outcrop area (km$^2$)');
% $$$ ylabel('Temperature ($^\circ$C)');
% $$$ plot(-diff(Aout,[],1)/dT/1e6,T,'-k','linewidth',2);
% $$$ xlabel('Outcrop area (km$^2$/$^\circ$C)');
% $$$ ylabel('Temperature ($^\circ$C)');
% $$$
% $$$
% $$$ %Calculate fractions of surface heat flux regionally:
% $$$
% $$$ %Region choice:
% $$$ LATsplit = 10;
% $$$ %reg = [-150 -90 -5 5]; Nino 3
% $$$ reg = [-165 -70 -10 10]; % Wider Pacific
% $$$ EEPinds = lat > reg(3) & lat < reg(4) & lon > reg(1) & lon < reg(2);
% $$$
% $$$ reg = [-70 25 -10 10];
% $$$ EAinds = lat > reg(3) & lat < reg(4) & lon > reg(1) & lon < reg(2);
% $$$
% $$$ Eqinds = abs(lat)<=LATsplit;
% $$$ Ninds = lat>LATsplit;
% $$$ Sinds = lat<-LATsplit;
% $$$
% $$$ %
% $$$ [mask_t,~] = Heat_Budget_Mask('IndoPacific2BAS','','',base,'MOM025_kb3seg');
% $$$
% $$$ N50inds = lat>=50;
% $$$ %reg = [-270 -110 50 90];
% $$$ PN50inds = mask_t & N50inds;
% $$$ AN50inds = N50inds & ~mask_t;
% $$$
% $$$ [mask_t,~] = Heat_Budget_Mask('Atlantic2BAS','','',base,'MOM025_kb3seg');
% $$$ AN50inds = N50inds & mask_t;
% $$$ Ainds = mask_t==1;
% $$$
% $$$ SOAinds = lat < -34 & (lon > -70 & lon < 25);
% $$$ SOPinds = lat <-34 & (lon > 25 | lon < -70);
% $$$
% $$$
% $$$ for i=1:12
% $$$ SHFtmp = shflux(:,:,i);
% $$$ SHFEq(i) = nansum(nansum(area(Eqinds).*SHFtmp(Eqinds),1),2);
% $$$ SHFN(i) = nansum(nansum(area(Ninds).*SHFtmp(Ninds),1),2);
% $$$ SHFS(i) = nansum(nansum(area(Sinds).*SHFtmp(Sinds),1),2);
% $$$ SHFEEP(i) = nansum(nansum(area(EEPinds).*SHFtmp(EEPinds),1),2);
% $$$ SHFEA(i) = nansum(nansum(area(EAinds).*SHFtmp(EAinds),1),2);
% $$$ SHFN50(i) = nansum(nansum(area(N50inds).*SHFtmp(N50inds),1),2);
% $$$ SHFPN50(i) = nansum(nansum(area(PN50inds).*SHFtmp(PN50inds),1),2);
% $$$ SHFAN50(i) = nansum(nansum(area(AN50inds).*SHFtmp(AN50inds),1),2);
% $$$ SHFA(i) = nansum(nansum(area(Ainds).*SHFtmp(Ainds),1),2);
% $$$
% $$$ SHFSOA(i) = nansum(nansum(area(SOAinds).*SHFtmp(SOAinds),1),2);
% $$$ SHFSOP(i) = nansum(nansum(area(SOPinds).*SHFtmp(SOPinds),1),2);
% $$$
% $$$ SHF20p = SHFtmp;
% $$$ SHF20p(SST(:,:,i)<20) = 0;
% $$$ SHF20pSOA(i) = nansum(nansum(area(SOAinds).*SHF20p(SOAinds),1),2);
% $$$ SHF20pSOP(i) = nansum(nansum(area(SOPinds).*SHF20p(SOPinds),1),2);
% $$$
% $$$ SHF1520 = SHFtmp;
% $$$ SHF1520(SST(:,:,i)>20 & SST(:,:,i) < 15) = 0;
% $$$ SHF1520SOA(i) = nansum(nansum(area(SOAinds).*SHF1520(SOAinds),1),2);
% $$$ SHF1520SOP(i) = nansum(nansum(area(SOPinds).*SHF1520(SOPinds),1),2);
% $$$
% $$$ SHF15m = SHFtmp;
% $$$ SHF15m(SST(:,:,i)> 15) = 0;
% $$$ SHF15mSOA(i) = nansum(nansum(area(SOAinds).*SHF15m(SOAinds),1),2);
% $$$ SHF15mSOP(i) = nansum(nansum(area(SOPinds).*SHF15m(SOPinds),1),2);
% $$$
% $$$ Atmp = area;
% $$$ Atmp(isnan(SHFtmp)) = NaN;
% $$$ AREAtotal(i) = nansum(nansum(Atmp));
% $$$ AREAEEP(i) = nansum(nansum(Atmp(EEPinds)));
% $$$ AREAEA(i) = nansum(nansum(Atmp(EAinds)));
% $$$ AREAEq(i) = nansum(nansum(Atmp(Eqinds)));
% $$$ AREAN(i) = nansum(nansum(Atmp(Ninds)));
% $$$ AREAS(i) = nansum(nansum(Atmp(Sinds)));
% $$$ AREAN50(i) = nansum(nansum(Atmp(N50inds)));
% $$$ AREAPN50(i) = nansum(nansum(Atmp(PN50inds)));
% $$$ AREAAN50(i) = nansum(nansum(Atmp(AN50inds)));
% $$$ AREAA(i) = nansum(nansum(Atmp(Ainds)));
% $$$ AREASOA(i) = nansum(nansum(Atmp(SOAinds)));
% $$$ AREASOP(i) = nansum(nansum(Atmp(SOPinds)));
% $$$ end
% $$$ SHFAll = SHFEq+SHFN+SHFS;
% $$$
% $$$ %Display output in terminal for table:
% $$$ str = {['Area fractions model ' model] ; ...
% $$$ sprintf(' NH area = %3.2f',monmean(AREAN,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' SH area = %3.2f',monmean(AREAS,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' Eq area = %3.2f',monmean(AREAEq,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' EEP area = %3.2f',monmean(AREAEEP,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' N50 area = %3.2f',monmean(AREAN50,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' PN50 area = %3.2f',monmean(AREAPN50,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' AN50 area = %3.2f',monmean(AREAAN50,2,ndays)/monmean(AREAtotal,2,ndays)) ; ...
% $$$ sprintf(' EA area = %3.2f',monmean(AREAEA,2,ndays)/monmean(AREAtotal,2,ndays))}
% $$$ str = {['Annual totals model ' model] ; ...
% $$$ sprintf(' Total = %3.2f',monmean(SHFAll,2,ndays)/1e15) ; ...
% $$$ sprintf(' NH = %3.2fPW (%3.0f)',monmean(SHFN,2,ndays)/1e15,monmean(SHFN,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' SH = %3.2fPW (%3.0f)',monmean(SHFS,2,ndays)/1e15,monmean(SHFS,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' Eq = %3.2fPW (%3.0f)',monmean(SHFEq,2,ndays)/1e15,monmean(SHFEq,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' EEP = %3.2fPW (%3.0f)',monmean(SHFEEP,2,ndays)/1e15,monmean(SHFEEP,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' N50 = %3.2fPW (%3.0f)',monmean(SHFN50,2,ndays)/1e15,monmean(SHFN50,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' PN50 = %3.2fPW (%3.0f)',monmean(SHFPN50,2,ndays)/1e15,monmean(SHFPN50,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' AN50 = %3.2fPW (%3.0f)',monmean(SHFAN50,2,ndays)/1e15,monmean(SHFAN50,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' A = %3.2fPW (%3.0f)',monmean(SHFA,2,ndays)/1e15,monmean(SHFA,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' SOP = %3.2fPW (%3.0f)',monmean(SHFSOP,2,ndays)/1e15,monmean(SHFSOP,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' SOA = %3.2fPW (%3.0f)',monmean(SHFSOA,2,ndays)/1e15,monmean(SHFSOA,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 20pSOP = %3.2fPW (%3.0f)',monmean(SHF20pSOP,2,ndays)/1e15,monmean(SHF20pSOP,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 20pSOA = %3.2fPW (%3.0f)',monmean(SHF20pSOA,2,ndays)/1e15,monmean(SHF20pSOA,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 1520SOP = %3.2fPW (%3.0f)',monmean(SHF1520SOP,2,ndays)/1e15,monmean(SHF1520SOP,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 1520SOA = %3.2fPW (%3.0f)',monmean(SHF1520SOA,2,ndays)/1e15,monmean(SHF1520SOA,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 15mSOP = %3.2fPW (%3.0f)',monmean(SHF15mSOP,2,ndays)/1e15,monmean(SHF15mSOP,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' 15mSOA = %3.2fPW (%3.0f)',monmean(SHF15mSOA,2,ndays)/1e15,monmean(SHF15mSOA,2,ndays)/monmean(SHFAll,2,ndays)*100) ; ...
% $$$ sprintf(' EA = %3.2fPW (%3.0f)',monmean(SHFEA,2,ndays)/1e15,monmean(SHFEA,2,ndays)/monmean(SHFAll,2,ndays)*100)}
% $$$
% $$$
% $$$ % Plot regional heat fluxes as a function of season:
% $$$ figure;
% $$$ set(gcf,'Position',get(0,'ScreenSize'));
% $$$ set(gcf,'defaultlinelinewidth',2);
% $$$
% $$$ % $$$ subplot(3,1,1);
% $$$ plot(1:12,SHFEEP/1e15,'--r','LineWidth',4);
% $$$ hold on;
% $$$ plot(1:12,SHFEq/1e15,'--k','LineWidth',4);
% $$$ plot(1:12,SHFN/1e15,':b','LineWidth',4);
% $$$ plot(1:12,SHFS/1e15,':','color',[0 0.5 0],'LineWidth',4);
% $$$ plot(1:12,(SHFN+SHFS)/1e15,':k','LineWidth',4);
% $$$ plot(1:12,SHFAll/1e15,'-k','LineWidth',4);
% $$$ xlabel('Month');
% $$$ ylabel(['PW']);
% $$$ title(['Surface Heat Flux']);
% $$$ leg = legend('Eastern Equatorial Pacific', ...
% $$$ 'Equatorial',['Northern Hemisphere $>' num2str(LATsplit) '^\circ$N'], ...
% $$$ ['Southern Hemisphere $<' num2str(LATsplit) '^\circ$S'], ...
% $$$ ['Outside Equatorial $>\pm' num2str(LATsplit) '^\circ$'], ...
% $$$ ['Total']);
% $$$ set(leg,'Position',[0.1481 0.2656 0.2314 0.2340]);
% $$$ ylim([-20 20]);
% $$$ xlim([1 12]);
% $$$ set(gca,'xticklabel',{'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'});
% $$$ set(gca,'xtick',[1:12]);
% $$$ set(gca,'Position',[0.1300 0.2451 0.5949 0.6799]);
% $$$ set(gca,'FontSize',25);
% $$$ grid on;
% $$$
% $$$
% $$$
% $$$ %%% Plot Seasonal cycle of wind stress and SST
% $$$
% $$$ % Load Base Variables:
% $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag_kb3seg/mat_data/';
% $$$ model = 'MOM025_kb3seg';
% $$$ outputs = [75:79];
% $$$ % $$$ base = '/srv/ccrc/data03/z3500785/MOM_HeatDiag/mat_data/';
% $$$ % $$$ model = 'MOM025';
% $$$ % $$$ outputs = [8:12];
% $$$ % $$$ model = 'MOM01';
% $$$ % $$$ outputs = [333];
% $$$ load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
% $$$ ndays = diff(time_snap);
% $$$
% $$$ % Load Variable and calculate mean:
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$ SSTa = SST;
% $$$ tauxa = taux;
% $$$ tauya = tauy;
% $$$ for i=2:length(outputs)
% $$$ i
% $$$ load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(i))]);
% $$$ SSTa = SSTa+SST;
% $$$ tauxa = tauxa+taux;
% $$$ tauya = tauya+tauy;
% $$$ end
% $$$ SST = SSTa/length(outputs);
% $$$ taux = tauxa/length(outputs);
% $$$ tauy = tauya/length(outputs);
% $$$
% $$$ ylims = [-30 30];
% $$$ xlims = [-260 -60];
% $$$
% $$$ [xL,yL] = size(lon);
% $$$ [tmp ln1] = min(abs(lon(:,1)-xlims(1)));
% $$$ [tmp ln2] = min(abs(lon(:,1)-xlims(2)));
% $$$ [tmp lt1] = min(abs(lat(1,:)-ylims(1)));
% $$$ [tmp lt2] = min(abs(lat(1,:)-ylims(2)));
% $$$ xvec = (ln1-2):1:(ln2-2);
% $$$ yvec = (lt1-2):1:(lt2-2);
% $$$ [xL,yL] = size(lonu);
% $$$ [tmp ln1] = min(abs(lonu(:,1)-xlims(1)));
% $$$ [tmp ln2] = min(abs(lonu(:,1)-xlims(2)));
% $$$ [tmp lt1] = min(abs(latu(1,:)-ylims(1)));
% $$$ [tmp lt2] = min(abs(latu(1,:)-ylims(2)));
% $$$ xvec2 = (ln1-2):15:(ln2-2);
% $$$ yvec2 = (lt1-2):15:(lt2-2);
% $$$ txtmonth = {'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'};
% $$$
% $$$ months = {[1],[3],[5],[7],[9],[11]};
% $$$ % $$$ [1:12], ...
% $$$ % $$$ [3], ...
% $$$ % $$$ [7], ...
% $$$ % $$$ [11]};
% $$$
% $$$ labels = {'Jan', ...
% $$$ 'Mar', ...
% $$$ 'May', ...
% $$$ 'Jul', ...
% $$$ 'Sep', ...
% $$$ 'Nov'};
% $$$ % $$$ 'Annual', ...
% $$$ % $$$ 'March', ...
% $$$ % $$$ 'July', ...
% $$$ % $$$ 'November'};
% $$$
% $$$ % $$$ %Colormap:
% $$$ % $$$ clim = [0 0.1];
% $$$ % $$$ sp = 0.01;
% $$$ % $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ % $$$ npts = length(cpts)
% $$$ % $$$ cmap = parula(npts-3);
% $$$ % $$$ cmap = parula(npts-3);
% $$$ % $$$ % $$$ cmap(end,:) = [0.97 0.97 0.8];
% $$$ % $$$ cmap(end,:) = [1 1 1];
% $$$ % $$$ cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
% $$$ % $$$ cmap = flipud(cmap);
% $$$
% $$$
% $$$ clim = [20 30];
% $$$ sp = 1;
% $$$ cpts = [-1e10 clim(1):sp:clim(2) 1e10];
% $$$ npts = length(cpts)
% $$$ cmap = colormap(redblue(npts-3));
% $$$ cmap = colormap(flipud(lbmap(npts-3,'RedBlue')));
% $$$
% $$$ figure;
% $$$ %set(gcf,'Position',[3 59 1916 914]);
% $$$ set(0,'defaulttextfontsize',20);
% $$$ set(0,'defaultaxesfontsize',20);
% $$$ set(gcf,'Position',[322 58 1247 945]);
% $$$ % $$$ poss = [0.1300 0.4553 0.7693 0.4697; ...
% $$$ % $$$ 0.1300 0.1389 0.2343 0.2680; ...
% $$$ % $$$ 0.3951 0.1389 0.2343 0.2680; ...
% $$$ % $$$ 0.6681 0.1389 0.2343 0.2680];
% $$$ poss = [0.0867 0.6910 0.4 0.26; ...
% $$$ 0.5221 0.6910 0.4 0.26; ...
% $$$ 0.0867 0.3926 0.4 0.26; ...
% $$$ 0.5221 0.3926 0.4 0.26; ...
% $$$ 0.0867 0.0899 0.4 0.26; ...
% $$$ 0.5221 0.0899 0.4 0.26];
% $$$ for i=1:length(months)
% $$$ % $$$ if (i == 1)
% $$$ % $$$ subplot(5,3,[1 9]);
% $$$ % $$$ else
% $$$ % $$$ subplot(5,3,[10 13]+(i-2));
% $$$ % $$$ end
% $$$ subplot(3,2,i);
% $$$ X = lon(xvec,yvec);
% $$$ Y = lat(xvec,yvec);
% $$$ Z = monmean(SST(:,:,months{i}),3,ndays(months{i}));
% $$$ Z2 = monmean(taux(:,:,months{i}),3,ndays(months{i}));
% $$$ Z3 = monmean(tauy(:,:,months{i}),3,ndays(months{i}));
% $$$ Z = Z(xvec,yvec);
% $$$ Z(Z==0) = NaN;
% $$$ contourf(X,Y,Z,cpts,'linestyle','none');
% $$$ % $$$ contourf(lonu(xvec,yvec),latu(xvec,yvec),sqrt(Z2(xvec,yvec).^2+ ...
% $$$ % $$$ Z3(xvec,yvec).^2), ...
% $$$ % $$$ [-1e10 0:0.01:0.5 1e10],'linestyle','none');
% $$$ hold on;
% $$$ % $$$ [c,h] = contour(X,Y,Z,[-3:2:35],'-k');
% $$$ % $$$ clabel(c,h);
% $$$ quiver(lonu(xvec2,yvec2),latu(xvec2,yvec2),Z2(xvec2,yvec2),Z3(xvec2,yvec2),0.75,'-k');
% $$$ caxis(clim);
% $$$ xlim(xlims);
% $$$ ylim(ylims);
% $$$ hold on;
% $$$ plot([-150 -90 -90 -150 -150],[-5 -5 5 5 -5],'-','color',[0 0.5 ...
% $$$ 0],'linewidth',2);
% $$$ if (i>=5)
% $$$ xlabel('Longitude ($^\circ$E)');
% $$$ else
% $$$ set(gca,'xticklabel',[]);
% $$$ end
% $$$ if (i==1 | i == 3 | i ==5 )
% $$$ ylabel('Latitude ($^\circ$N)');
% $$$ else
% $$$ set(gca,'yticklabel',[]);
% $$$ end
% $$$ % $$$ if (i>1)
% $$$ text(-257,-25,labels{i},'BackgroundColor','w');
% $$$ % $$$ else
% $$$ % $$$ text(-278,35,labels{i},'BackgroundColor','w');
% $$$ % $$$ end
% $$$ if (i==2 | i == 4 | i ==6)
% $$$ cb = colorbar;
% $$$ ylabel(cb,'$^\circ$C');
% $$$ end
% $$$ set(gca,'Position',[poss(i,:)]);
% $$$ set(gca,'color','k');
% $$$ LabelAxes(gca,i,20,0.008,0.93);
% $$$ end
% $$$ colormap(cmap);
% $$$
% $$$
% $$$
% $$$
% $$$ %%%%% Components of mixing plot:
% $$$
% $$$ figure;
% $$$ set(gcf,'Position',[3 59 1916 914]);
% $$$ set(gcf,'defaulttextfontsize',17);
% $$$ set(gcf,'defaultaxesfontsize',17);
% $$$
% $$$ poss = [0.15 0.56 0.3 0.34; ...
% $$$ 0.48 0.56 0.3 0.34; ...
% $$$ 0.15 0.15 0.3 0.34; ...
% $$$ 0.48 0.15 0.3 0.34];
% $$$
% $$$ obj = matfile([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))]);
% $$$ LAND = obj.SST(:,:,1);
% $$$
% $$$ clim = [-30 0];
% $$$ sp = 1;