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Heat_Budget_Plot_LatT_ZAbiasplot.m
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Heat_Budget_Plot_LatT_ZAbiasplot.m
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% This script makes plots of the heat budget in the MOM
% simulations.
close all;
clear all;
base = '/srv/ccrc/data03/z3500785/mom/mat_data/';
RUNS = { ...
% MOM01-SIS:
% $$$ {'MOM01',[4567]}, ...
% $$$ % MOM025-SIS:
% $$$ {'MOM025_kb3seg',[101120],'(a) MOM025 Control'}, ...
% $$$ {'MOM025',[15:19]}, ...
% $$$ {'MOM025_kb1em5',[95:99]}, ...
% $$$ {'MOM025_kb1em6',[30]}, ...
% $$$ % ACCESS-OM2 Gadi runs:
% $$$ {'ACCESS-OM2_1deg_jra55_ryf',[31],'(b) ACCESS-OM2-1-KDS50'}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_gfdl50',[31]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds75',[3135]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds100',[3135]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf_kds135',[3135],'(c) ACCESS-OM2-1-KDS135'}, ...
{'ACCESS-OM2_025deg_jra55_ryf',[7680],'ACCESS-OM2-025-RG'}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf8485_gmredi',[73]}, ...
{'ACCESS-OM2_025deg_jra55_ryf_norediGM',[7680],'ACCESS-OM2-025'}, ...
{'ACCESS-OM2_025deg_jra55_ryf_noGM',[7680],'ACCESS-OM2-025-R'}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[80]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf',[300]}, ...
% $$$ {'ACCESS-OM2_01deg_jra55_ryf',[636639],'(f) ACCESS-OM2-01'}, ...
% $$$ {'ACCESS-OM2_01deg_jra55_ryf_k_smag_iso3',[640643],'(f) ACCESS-OM2-01'}, ...
};
doZAremap = 1; % remap too depth.
subCont = 1; % subtract control and plot anomalies.
for rr = 1:length(RUNS)
outputs = RUNS{rr}{2};
model = RUNS{rr}{1};
label = RUNS{rr}{3};
load([base model sprintf('_output%03d_BaseVars.mat',outputs(1))]);
if (~exist('ndays'))
ndays = diff(time_snap);
end
% Latitude difference vector for plotting per-degree:
dy = [yu(2)-yu(1); diff(yu)]; % (First-element is done by hand - but dy is equal to second).
regions = {'Global'};
regLets = {'G'};
% $$$ if (rr == 6);
% $$$ NUMs = ZA_G.NUM;
% $$$ end
for reg = 1:length(regions)
region = regions{reg}
regLet = regLets{reg};
%% Make Vars
type = 'ZA';
load([base model sprintf('_output%03d_',outputs(1)) region '_' type 'HBud.mat']);
eval(['names = fieldnames(' type ');']); % names in this file
namesEX = {'K33','RED','AHDR','GM','PSIGM','AHDGM','MDS','SIG'}; % extra names that might not exist
namesALL = {names{:},namesEX{:}};
for i=1:length(outputs)
i
load([base model sprintf('_output%03d_',outputs(i)) region '_' type 'HBud.mat']);
for ii=1:length(names)
eval(['ZAR.' names{ii} '(:,:,:,i) = ZA.' names{ii} ';']);
end
for ii=1:length(namesEX) % add extras as zeros if they don't exist
if (~isfield(ZA,namesEX{ii}))
eval(['ZAR.' namesEX{ii} '(:,:,:,i) = zeros(size(ZAR.F(:,:,:,i)));']);
end
end
clear ZA;
% Heat Function:
ZAR.AIadv(:,:,:,i) = ZAR.AHD(:,:,:,i) - rho0*Cp*repmat(Te',[yL 1 tL]).*ZAR.PSI(:,:,:,i); % advective-AI (defined on Te and v-points)
ZAR.AI(:,:,:,i) = ZAR.AIadv(:,:,:,i)+ZAR.AHDGM(:,:,:,i)+ZAR.AHDSUB(:,:,:,i)+ZAR.AHDR(:,:,:,i); % total internal heat content transport
% NaN lats on zAI for convergence calculation (for sub-regions):
NANlats = ZAR.AI(:,end,1) == 0;
ZAR.AI(NANlats,:,:,i) = NaN;
ZAR.JSH(:,:,:,i) = ZAR.JS(:,:,:,i).*repmat(Te',[yL 1 tL])*rho0*Cp;
ZAR.PI(:,:,:,i) = ZAR.P(:,:,:,i) - ZAR.JSH(:,:,:,i);
ZAR.N(:,:,:,i) = ZAR.dHdt(:,:,:,i) - ZAR.dVdt(:,:,:,i).*repmat(Te',[yL 1 tL])*rho0*Cp;
if (doZAremap)
ZAtempS(:,:,i) = ZAtemp;
tempZAS(:,:,i) = tempZA;
rhoZAS(:,:,i) = rhoZA;
end
end
ZAtemp = mean(ZAtempS,3);
tempZA = mean(tempZAS,3);
rhoZA = mean(rhoZAS,3);
% Take annual and mean across outputs:
names = fieldnames(ZAR);
for ii=1:length(names)
eval(['ZAR.' names{ii} ' = monmean(mean(ZAR.' names{ii} ',4),3,ndays);']);
end
% Generate NaNst and NANsu arrays:
ZAR.NaNst = zeros(size(ZAR.F));
ZAR.NaNsu = zeros(size(ZAR.PSI));
for i = 1:(TL+1)
ZAR.NaNst(:,i) = ZAR.F(:,i) == ZAR.F(:,end);
ZAR.NaNsu(:,i) = ZAR.PSI(:,i) == ZAR.PSI(:,end);
end
% Max SST (not monthly, ever) line and add to NaNs (note: on Te):
ZAR.maxTt = zeros(yL,1);ZAR.maxTit = zeros(yL,1);
ZAR.maxTu = zeros(yL,1);ZAR.maxTiu = zeros(yL,1);ZAR.psiTu = zeros(yL,1);
for i = 1:yL
indt = find(ZAR.NaNst(i,:),1,'first');
indu = find(ZAR.NaNsu(i,:),1,'first');
ZAR.maxTit(i) = indt;
ZAR.maxTt(i) = Te(indt);
ZAR.NaNst(i,indt) = 0;
ZAR.maxTiu(i) = indu;
ZAR.maxTu(i) = Te(indu);
ZAR.NaNsu(i,indu) = 0;
ZAR.psiTu(i) = ZAR.PSI(i,indu);
end
% Min SST (monthly - from surface forcing):
% Load SST for plotting:
load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(1))],'SST');
SSTa = SST;
for i=2:length(outputs)
load([base model sprintf('_output%03d_SurfaceVars.mat',outputs(i))],'SST');
SSTa = SSTa+SST;
end
SST = SSTa/length(outputs);
if (~(strcmp(region,'') | strcmp(region,'Global')))
[maskREG,~,~,~,~,~,~] = Heat_Budget_Mask(region,'','',base,model);
else
maskREG = ones(size(SST(:,:,1)));
end
SST = SST.*repmat(maskREG,[1 1 length(SST(1,1,:))]);
SST(SST==0) = NaN;
% $$$ ZAR.minSST = squeeze(min(monmean(SST,3,ndays),[],1)');
% $$$ if (max(ZAR.minSST)>100); ZAR.minSST = ZAR.minSST-273.15; end
% Total MHTs:
ZAR.MHTSUB = ZAR.AHDSUB(:,end);
ZAR.MHTADV = ZAR.AI(:,end);
ZAR.MHTGM = ZAR.AHDGM(:,end);
ZAR.MHTR = ZAR.AHDR(:,end);
ZAR.MHT = ZAR.MHTADV + ZAR.MHTSUB + ZAR.MHTGM + ZAR.MHTR;
% $$$ % Zonal average isotherm depths for remapping:
% $$$ ZAR.
eval(['ZA_' regLet ' = ZAR;']);
clear ZAR;
end %end region loop
% $$$ if (rr == 6)
% $$$ ZA_G.NUM = ZA_G.NUM-NUMs;
% $$$ end
% $$$
%% Calculate total diathermal transport and numerical mixing (special for Atlantic):
[X,Y] = ndgrid(yt,Te);
% Add KPPNL for old processing files:
if (~isfield(ZA_G,'KPPNL'))
ZA_G.KPPNL = 0*ZA_G.M;
end
% Global:
dAI_mR_dphi = diff(cat(1,zeros(1,TL+1),ZA_G.AI-ZA_G.AHDR),[],1); % convergence of that transport
ZA_G.Jdia = -ZA_G.N-dAI_mR_dphi; % total diathermal transport
ZA_G.I = -(ZA_G.Jdia+ZA_G.M+ZA_G.KPPNL+ZA_G.F+ZA_G.PI+ZA_G.RED+ZA_G.K33+ZA_G.MDS+ZA_G.SIG); % numerical mixing (both advective and submesoscale)
if (isfield(ZA_G,'NUM_SUBlf'))
ZA_G.NUM = ZA_G.NUM_SUBlf;
end
%% Plot latitude - temperature plane for different basins:
dy = diff(yu);
dy = [dy(1); dy];
% NumMix:
fields = { ...
{'NUM',1./repmat(dy,[1 TL+1])/1e12,'Numerical Mixing',[-25 25],0.5,'TW/$^\circ$latitude'},
};
cpts = cell(1,length(fields));
for i=1:length(fields)
cpts{i} = [-1e10 fields{i}{4}(1):fields{i}{5}:fields{i}{4}(2) 1e10];
end
npts = length(cpts{1});
clab = [1 1 1 1 1 1];
cmap = parula(npts-3);
cmap(end,:) = [0.97 0.97 0.8];
cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
AIsp = 0.25;
latfilt = 1;
%Fluxes only:
% $$$ figure;
%set(gcf,'Position',[2125 11 1680 960]);
set(gcf,'Position',[3 40 1278 963]);
set(gcf,'defaulttextfontsize',15);
set(gcf,'defaultaxesfontsize',15);
% 2x3:
% $$$ poss = [0.11 0.5949 0.25 0.3301; ...
% $$$ 0.375 0.5949 0.1875 0.3301; ...
% $$$ 0.58 0.5949 0.1719 0.3301; ...
% $$$ 0.11 0.2300 0.25 0.3301; ...
% $$$ 0.375 0.2300 0.1875 0.3301; ...
% $$$ 0.58 0.2300 0.1719 0.3301];
poss = [0.11 0.5949 0.21 0.3301; ...
0.35 0.5949 0.21 0.3301; ...
0.59 0.5949 0.21 0.3301; ...
0.11 0.2300 0.21 0.3301; ...
0.35 0.2300 0.21 0.3301; ...
0.59 0.2300 0.21 0.3301];
poss = [0.0802 0.69 0.35 0.27; ...
0.5210 0.69 0.35 0.27; ...
0.0802 0.39 0.35 0.27; ...
0.5210 0.39 0.35 0.27; ...
0.0802 0.0685 0.35 0.27; ...
0.5210 0.0685 0.35 0.27];
letlabs = {'(a)','(b)','(c)','(d)','(e)','(f)','(g)','(h)','(i)'};
for i=1:length(fields)
subplot(3,2,2*(rr-1)+1);
if (doZAremap)
X =repmat(yt,[1 TL+1]);
Y = ZAtemp;
else
[X,Y] = ndgrid(yt,Te);
end
eval(['VAR = ZA_' regLets{reg} '.' fields{i}{1} '.*fields{i}{2};']);
if (subCont)
if (rr==1)
VARC = VAR;
else
VAR = VAR-VARC;
end
end
VAR(VAR==0) = NaN;
eval(['VAR(ZA_' regLets{reg} '.NaNst==1) = NaN;']);
VAR = filter_field(VAR',latfilt,'-t')';
contourf(X,Y,VAR,cpts{i},'linestyle','none');
hold on;
col = [0 0 0];
if (doZAremap)
[X,Y] = ndgrid(yt,-z);
[c,h] = contour(X,Y,tempZA,[-2:2:34],'-k');
clabel(c,h);
% $$$ [c,h] = contour(X,Y,rhoZA,[1020:0.2:1040],'-','color',[0.5 0.5 0.5]);
else
% $$$ plot(yvec,filter_field(meanSST,latfilt,'-t'),':','color',col);
% $$$ eval(['plot(yt,filter_field(ZA_' regLets{reg} '.minSST,latfilt,''-t''),'':'',''color'',col);']);
eval(['plot(yt,filter_field(ZA_' regLets{reg} '.maxTt,latfilt,''-t''),'':k'');']);
end
if (doZAremap)
ylim([-2000 0]);
text(-79,-1900,label);%,'BackgroundColor','w');%[strrep(model,'_','\_')]);%RUNS{letlabs{letno} ' ' fields{i}{3}]);
else
ylim([-2 34]);
text(-79,32.15,label);%,'BackgroundColor','w');%[strrep(model,'_','\_')]);%RUNS{letlabs{letno} ' ' fields{i}{3}]);
end
if (rr == 1)
caxis([-25 0]);%fields{i}{4});
else
caxis([-25 25]);
end
box on;
grid on;
letno = rr;%3*(i-1)+r;
xlim([-80 80]);
% $$$ xlim([-80 0]);
set(gca,'xtick',[-90:30:90]);
if (rr>=3)
xlabel('Latitude ($^\circ$N)');
else
set(gca,'xticklabel',[]);
end
% $$$ if (rr==1 | rr == 3 | rr == 5)
% $$$ ylabel('Temperature $\Theta$ ($^\circ$C)');
ylabel('Depth (m)');%Temperature $\Theta$ ($^\circ$C)');
% $$$ end
% $$$ if (rr==2 | rr == 4 | rr == 6)
cb = colorbar;
ylabel(cb,fields{i}{6});
% $$$ end
set(gca,'Position',poss(2*(rr-1)+1,:));
if (rr == 1)
title('Numerical mixing and isotherms');
end
end
if (rr == 1)
colormap(gca,cmap);
else
colormap(gca,redblue);
end
if (1) % Add temperature and density anomalies plots:
if (subCont)
if (rr==1)
tempZAC = tempZA;
rhoZAC = rhoZA;
else
tempZA = tempZA-tempZAC;
rhoZA = rhoZA-rhoZAC;
end
end
subplot(3,2,2*rr);
[X,Y] = ndgrid(yt,-z);
if (rr == 1)
contourf(X,Y,tempZA,[-2:0.5:34],'linestyle','none');
hold on;
[c,h] = contour(X,Y,rhoZA,[1020:0.2:1040],'-','color',[0.5 ...
0.5 0.5]);
else
contourf(X,Y,tempZA,[-2:0.05:2],'linestyle','none');
hold on;
sp = 0.03
[c,h] = contour(X,Y,rhoZA,[-1:sp:-sp],'--','color',[0.5 0.5 0.5]);
% $$$ clabel(c,h);
[c,h] = contour(X,Y,rhoZA,[sp:sp:1],'-','color',[0.5 0.5 0.5]);
% $$$ clabel(c,h);
end
if (rr>=3)
xlabel('Latitude ($^\circ$N)');
else
set(gca,'xticklabel',[]);
end
cb = colorbar;
ylabel(cb,'$^\circ$C');
set(gca,'yticklabel',[]);
if (rr == 1)
caxis([0 15]);
else
caxis([-1.5 1.5]);
end
ylim([-2000 0]);
xlim([-80 80]);
set(gca,'xtick',[-90:30:90]);
grid on;
box on;
colormap(gca,redblue);
set(gca,'Position',poss(2*rr,:));
if (rr == 1)
title('Temperature (color) and density (contours)');%Numerical mixing and isotherms');
end
end
% $$$ set(gca,'Position',poss(rr,:));
end