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Heat_Budget_AllOld.m
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Heat_Budget_AllOld.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/';
% $$$ base = 'archive/mat_data/';
RUNS = { ...
% MOM01-SIS:
% $$$ {'MOM01',[222]}, ...
% $$$ % MOM025-SIS:
% $$$ {'MOM025',[8:12]}, ...
% $$$ {'MOM025',[15:19]}, ...
% $$$ {'MOM025_kb1em6',[30]}, ...
% $$$ {'MOM025_kb3seg',[80:84]}, ...
% $$$ {'MOM025_kb1em5',[94]}, ...
% $$$ {'MOM025_wombat',[1978]}, ...
% ACCESS-OM2 025-degree:
% $$$ {'ACCESS-OM2_025deg_jra55_ryf8485',[78]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf8485_redi',[59]}, ...
% $$$ {'ACCESS-OM2_025deg_jra55_ryf8485_gmredi',[73]}, ...
% $$$ % {'ACCESS-OM2_025deg_jra55_ryf8485_KDS75',[??]}, ...
% ACCESS-OM2 1-degree:
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds50_may_Tcen',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds50_may_TcenGMS',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_gfdl50_may',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds50_may',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds75_may',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds100_may',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds135_may',[36]}, ...
% $$$ {'ACCESS-OM2_1deg_jra55_ryf8485_kds50_may_kb1em5',[0]}, ...
};
rr = 1;
% $$$ 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))]);
ndays = diff(time_snap);
ndays = ndays(1:12);
if (ndays(end) <= 0); ndays(end) = 365-ndays(end);end;
region = 'Global';
% $$$ region = 'Pacific';
nyrs = tL/12;szTe = [TL+1 12 nyrs];szT = [TL 12 nyrs];
yrs = 1:nyrs;
months = 1:12;
ycur = 1;
% $$$ %% Global Calculations:
% $$$ for i=1:length(outputs)
% $$$
% $$$ % $$$ % Annual or Monthly offline Binning:
% $$$ % $$$ load([base model sprintf('_output%03d_',outputs(i)) 'GlobalHBud_MonAnBin.mat']);
% $$$ % $$$ GWB = GWBann;
% $$$
% $$$ load([base model sprintf('_output%03d_',outputs(i)) region 'HBud.mat']);
% $$$
% $$$ % Fluxes:
% $$$ P(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.PME+GWB.RMX,szTe); % PME effective heat flux (W)
% $$$ F(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.SWH+GWB.VDS+GWB.FRZ+GWB.ETS,szTe); % Surface heat flux (W)
% $$$ M(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDF+GWB.KNL,szTe); % Vertical mixing flux (W)
% $$$ if (isfield(GWB,'VDFkppiw')) % Vertical mixing components
% $$$ VDFkppiw(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppiw,szTe);
% $$$ VDFkppish(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppish,szTe);
% $$$ VDFkppicon(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppicon,szTe);
% $$$ VDFkppbl(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppbl,szTe);
% $$$ VDFkppdd(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppdd,szTe);
% $$$ VDFwave(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFwave,szTe);
% $$$ KPPnloc(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.KNL,szTe);
% $$$ VDFsum(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.VDFkppiw+GWB.VDFkppish+GWB.VDFkppicon+ ...
% $$$ GWB.VDFkppbl+GWB.VDFkppdd+GWB.VDFwave+GWB.KNL,szTe);
% $$$ end
% $$$ if (isfield(GWB,'RED')) % Redi Diffusion
% $$$ R(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.RED+GWB.K33,szTe); % Redi diffusion (W)
% $$$ else
% $$$ R(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$ if (isfield(GWB,'NGM')) % GM parameterization
% $$$ GM(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.NGM,szTe); % GM (W)
% $$$ else
% $$$ GM(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$ if (isfield(GWB,'MDS')) % Mix-downslope
% $$$ MD(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.MDS,szTe);; % GM (W)
% $$$ M(:,:,ycur:(ycur+nyrs-1)) = M(:,:,ycur:(ycur+nyrs-1)) + reshape(GWB.MDS,szTe); %ADD TO VERTICAL MIXING, but it's small...
% $$$ else
% $$$ MD(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$ if (isfield(GWB,'NUM')) % Pre-calculated numerical mixing
% $$$ NUM(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.NUM,szTe); % NUM (W)
% $$$ else
% $$$ NUM(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$ if (isfield(GWB,'NUMH')) % Pre-calculated numerical mixing
% $$$ % from heat budget
% $$$ NUMH(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.NUMH,szTe); % NUM (W)
% $$$ else
% $$$ NUMH(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$ D(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.TEN-GWB.ADV-GWB.SUB,szTe)-GM(:,:,ycur:(ycur+nyrs-1)); % Material derivative of T (W)
% $$$ SW(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.SWH,szTe); % Short-wave heat
% $$$ JS(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.SFW,szTe); % Surface Volume Flux
% $$$ SUB(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.SUB,szTe);
% $$$
% $$$ % Pacific Interior fluxes:
% $$$ if (strcmp(region,'Pacific'))
% $$$ JI(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.JBS+GWB.JSP+GWB.JITF,szTe); %Combined volume flux out
% $$$ QI(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.QBS+GWB.QSP+GWB.QITF,szTe); %Combined heat flux out
% $$$ else
% $$$ QI(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ JI(:,:,ycur:(ycur+nyrs-1)) = zeros(size(P(:,:,ycur:(ycur+nyrs-1))));
% $$$ end
% $$$
% $$$ % Snapshot fields:
% $$$ dVdt(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.dVdt,szTe); % V Change (m3s-1)
% $$$ dHdt(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.dHdt,szTe); % H Change (W)
% $$$
% $$$ % Water-mass transformation:
% $$$ G(:,:,ycur:(ycur+nyrs-1)) = dVdt(:,:,ycur:(ycur+nyrs-1)) - JS(:,:,ycur:(ycur+nyrs-1)) + JI(:,:,ycur:(ycur+nyrs-1)); %Water-mass transformation (m3s-1)
% $$$
% $$$ % Surface Volume flux base flux (not P!)
% $$$ JSH(:,:,ycur:(ycur+nyrs-1)) = JS(:,:,ycur:(ycur+nyrs-1)).*repmat(Te,[1 12 nyrs])*rho0*Cp;
% $$$
% $$$ % Interior heat source P:
% $$$ PI(:,:,ycur:(ycur+nyrs-1)) = P(:,:,ycur:(ycur+nyrs-1)) - JSH(:,:,ycur:(ycur+nyrs-1));
% $$$
% $$$ % Interior heat source Q:
% $$$ QII(:,:,ycur:(ycur+nyrs-1)) = QI(:,:,ycur:(ycur+nyrs-1)) - JI(:,:,ycur:(ycur+nyrs-1)).*repmat(Te,[1 12 nyrs])*rho0*Cp;
% $$$
% $$$ % Across-isotherm advective heat flux:
% $$$ CIA(:,:,ycur:(ycur+nyrs-1)) = G(:,:,ycur:(ycur+nyrs-1)).*repmat(Te,[1 12 nyrs])*rho0*Cp;
% $$$
% $$$ % External HC Tendency:
% $$$ EHC(:,:,ycur:(ycur+nyrs-1)) = dVdt(:,:,ycur:(ycur+nyrs-1)).*repmat(Te,[1 12 nyrs])*rho0*Cp;
% $$$
% $$$ % Internal HC Tendency:
% $$$ N(:,:,ycur:(ycur+nyrs-1)) = dHdt(:,:,ycur:(ycur+nyrs-1)) - EHC(:,:,ycur:(ycur+nyrs-1));
% $$$ % $$$ N(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.TEN,szTe);
% $$$
% $$$ % $$$ % Alternative method 1 for the N calculation:
% $$$ % $$$ N(:,:,ycur:(ycur+nyrs-1)) = rho0*Cp*cumsum(dVdt*dT,1,'reverse');
% $$$ % However, this does not work well, potentially because the
% $$$ % integral should conceptually then be defined on Tcenters as
% $$$ % opposed to Tedges. In any case, this method gives a non-zero
% $$$ % total heat flux due to implicit mixing and is much noisier.
% $$$
% $$$ % Implicit mixing:
% $$$ I(:,:,ycur:(ycur+nyrs-1)) = N(:,:,ycur:(ycur+nyrs-1)) - F(:,:,ycur:(ycur+nyrs-1)) - P(:,:,ycur:(ycur+nyrs-1)) - M(:,:,ycur:(ycur+nyrs-1)) - R(:,:,ycur:(ycur+nyrs-1)) + JSH(:,:,ycur:(ycur+nyrs-1));
% $$$
% $$$ % Non-advective flux into volume:
% $$$ B(:,:,ycur:(ycur+nyrs-1)) = F(:,:,ycur:(ycur+nyrs-1))+M(:,:,ycur:(ycur+nyrs-1))+I(:,:,ycur:(ycur+nyrs-1))+R(:,:,ycur:(ycur+nyrs-1));
% $$$
% $$$ % Monthly binned Internal HC Tendency:
% $$$ if (isfield('GWB','TENMON'))
% $$$ Nmon(:,:,ycur:(ycur+nyrs-1)) = reshape(GWB.TENMON,szTe);
% $$$ end
% $$$
% $$$ % Alternative method 2 (which is what I was using for
% $$$ % the GRL submit - but the above method is simpler to explain).
% $$$ % $$$ Ialt(:,:,ycur:(ycur+nyrs-1)) = dHdt(:,:,ycur:(ycur+nyrs-1))-D(:,:,ycur:(ycur+nyrs-1))-CIA(:,:,ycur:(ycur+nyrs-1)) + QI(:,:,ycur:(ycur+nyrs-1));
% $$$ % $$$ Balt(:,:,ycur:(ycur+nyrs-1)) = F(:,:,ycur:(ycur+nyrs-1))+M(:,:,ycur:(ycur+nyrs-1))+Ialt(:,:,ycur:(ycur+nyrs-1))+R(:,:,ycur:(ycur+nyrs-1));
% $$$ % $$$ Nalt(:,:,ycur:(ycur+nyrs-1)) = Balt(:,:,ycur:(ycur+nyrs-1)) + PI(:,:,ycur:(ycur+nyrs-1)) - QII(:,:,ycur:(ycur+nyrs-1));
% $$$ % Gives very close results. The difference between N and Nalt, and
% $$$ % I and Ialt (i.e. (Ialt-I)./I, (Nalt-N)./N) is less than 1e-5 in
% $$$ % all cases (except where I==0, which gives Inf).
% $$$
% $$$ % WMT from B:
% $$$ WMTM(:,:,ycur:(ycur+nyrs-1)) = -diff(M(:,:,ycur:(ycur+nyrs-1)),[],1)/dT/rho0/Cp;
% $$$ WMTF(:,:,ycur:(ycur+nyrs-1)) = -diff(F(:,:,ycur:(ycur+nyrs-1)),[],1)/dT/rho0/Cp;
% $$$ WMTI(:,:,ycur:(ycur+nyrs-1)) = -diff(I(:,:,ycur:(ycur+nyrs-1)),[],1)/dT/rho0/Cp;
% $$$ WMTR(:,:,ycur:(ycur+nyrs-1)) = -diff(R(:,:,ycur:(ycur+nyrs-1)),[],1)/dT/rho0/Cp;
% $$$ WMT(:,:,ycur:(ycur+nyrs-1)) = WMTM(:,:,ycur:(ycur+nyrs-1))+WMTF(:,:,ycur:(ycur+nyrs-1))+WMTI(:,:,ycur:(ycur+nyrs-1))+WMTR(:,:,ycur:(ycur+nyrs-1));
% $$$
% $$$ % WMT HB from B:
% $$$ HWMTM(:,:,ycur:(ycur+nyrs-1)) = rho0*Cp*WMTM(:,:,ycur:(ycur+nyrs-1)).*repmat(T,[1 12 nyrs]);
% $$$ HWMTF(:,:,ycur:(ycur+nyrs-1)) = rho0*Cp*WMTF(:,:,ycur:(ycur+nyrs-1)).*repmat(T,[1 12 nyrs]);
% $$$ HWMTI(:,:,ycur:(ycur+nyrs-1)) = rho0*Cp*WMTI(:,:,ycur:(ycur+nyrs-1)).*repmat(T,[1 12 nyrs]);
% $$$ HWMTR(:,:,ycur:(ycur+nyrs-1)) = rho0*Cp*WMTR(:,:,ycur:(ycur+nyrs-1)).*repmat(T,[1 12 nyrs]);
% $$$ HWMT(:,:,ycur:(ycur+nyrs-1)) = HWMTM(:,:,ycur:(ycur+nyrs-1))+HWMTF(:,:,ycur:(ycur+nyrs-1))+HWMTI(:,:,ycur:(ycur+nyrs-1))+HWMTR(:,:,ycur:(ycur+nyrs-1));
% $$$
% $$$ % Alternative method 3 I from Volume budget (as for spatial structure calc FlI):
% $$$ % $$$ WMTI(:,:,ycur:(ycur+nyrs-1)) = avg(dVdt(:,:,ycur:(ycur+nyrs-1)),1) - avg(JS(:,:,ycur:(ycur+nyrs-1)),1)-WMTM(:,:,ycur:(ycur+nyrs-1))-WMTF(:,:,ycur:(ycur+nyrs-1))-WMTR(:,:,ycur:(ycur+nyrs-1));
% $$$ % $$$ I(:,:,ycur:(ycur+nyrs-1)) = zeros(size(I(:,:,ycur:(ycur+nyrs-1))));
% $$$ % $$$ I(1:(end-1),:,ycur:(ycur+nyrs-1)) = rho0*Cp*cumsum(WMTI(:,:,ycur:(ycur+nyrs-1))*dT,1,'reverse');
% $$$ % This also gives pretty consistent results, although has similar
% $$$ % noisy problems and a non-zero total heat flux at the cooler
% $$$ % temperatures as alternative method 1 above. This method is
% $$$ % slightly better at the warmest temperatures.
% $$$ ycur = ycur+nyrs;
% $$$ end
% $$$ months = [1:length(P(1,:,1))];
% $$$ yrs = [1:length(P(1,1,:))];
% $$$ yrs = [1 5];
% $$$
% $$$
% $$$ %%%%Heat Flux: ---------------------------------------------------------------------------------------------
% $$$ % Production fields:
% $$$ fields = { ...
% $$$ {N(:,months,yrs), 'Internal HC Tendency $\mathcal{N}$','m',2,'-'}, ...
% $$$ {F(:,months,yrs)+PI(:,months,yrs), 'Surface Forcing $\mathcal{F}+\mathcal{P}_I$','k',2,'-'}, ...
% $$$ % $$$ {M(:,months,yrs)+R(:,months,yrs)+I(:,months,yrs), 'Total Mixing $\mathcal{M}+\mathcal{R}+\mathcal{I}$','r',2,'-'}, ...
% $$$ {M(:,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ {R(:,months,yrs), 'Redi Mixing $\mathcal{R}$',[0 0.5 0],2,'-'}, ...
% $$$ {I(:,months,yrs), 'Numerical Mixing $\mathcal{I}$','b',2,'-'}, ...
% $$$ {NUM(:,months,yrs), 'Numerical Mixing Direct $\mathcal{I}$','c',2,'-'}, ...
% $$$ % $$$ {SW(:,months,yrs), 'Shortwave Redistribution',0.5*[1 1 1],2,'--'}, ...
% $$$ % $$$ {dHdt(:,months,yrs), 'HC Tendency $\frac{\partial\mathcal{H}}{\partial t}$','m',2,'--'}, ...
% $$$ % $$$ {PI(:,months,yrs), 'Surface Volume Fluxes $\mathcal{P}_I$',[0.49 0.18 0.56],2,'--'}, ...
% $$$ % $$$ {F(:,months,yrs), 'Surface Heat Fluxes $\mathcal{F}$','k',2,'-'}, ...
% $$$ % $$$ {P(:,months,yrs), 'Surface Volume Fluxes $\mathcal{P}$',[0.49 0.18 0.56],2,'-'}, ...
% $$$ % $$$ {GM(:,months,yrs), 'GM $\mathcal{G}$',[0 0.5 0],2,'--'}, ...
% $$$ % $$$ {SUB(:,months,yrs), 'SUB $\mathcal{S}$',[0 0.5 0],2,':'}, ...
% $$$ % $$$ {HWMTI(:,months,yrs), 'Advective Implicit Mixing','b',2,'--'}, ...
% $$$ % $$$ {HWMTM(:,months,yrs), 'Advective Vertical Mixing','r',2,'--'}, ...
% $$$ % $$$ {HWMTF(:,months,yrs), 'Advective Surface Forcing','k',2,'--'}, ...
% $$$ % $$$ {M(:,months,yrs)+I(:,months,yrs), 'Total Mixing $\mathcal{M}+\mathcal{I}$',[0 0.5 0],2,'--'}, ...
% $$$ % $$$ {Nmon(:,months,yrs), 'Monthly-Binned Total','m',2,'--'}, ...
% $$$ % $$$ {CIA(:,months,yrs), 'Across-Isotherm Advection $\mathcal{G}\Theta\rho_0C_p$',[0.49 0.18 0.56],2,'--'}, ...
% $$$ % $$$ {M(:,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ };
% $$$ % $$$ fields = { ...
% $$$ % $$$ {M(:,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ % $$$ {VDFkppiw(:,months,yrs), 'Vertical Diffusion KPPIW','b',2,'-'}, ...
% $$$ % $$$ {VDFkppish(:,months,yrs), 'Vertical Diffusion KPPISH',[0 0.5 0],2,'-'}, ...
% $$$ % $$$ {VDFkppbl(:,months,yrs), 'Vertical Diffusion KPPBL','m',2,'-'}, ...
% $$$ % $$$ {VDFwave(:,months,yrs), 'Vertical Diffusion WAVE','k',2,'-'}, ...
% $$$ % $$$ % $$$ {VDFkppicon(:,months,yrs), 'Vertical Diffusion KPPICON','y',2,'-'}, ...
% $$$ % $$$ % $$$ {KPPnloc(:,months,yrs), 'KPP Non-local',[0.49 0.18 0.56],2,'--'}, ...
% $$$ % $$$ % $$$ {VDFkppdd(:,months,yrs), 'Vertical Diffusion KPPDD','m',2,'-'}, ...
% $$$ % $$$ {VDFkppdd(:,months,yrs)+VDFkppicon(:,months,yrs)+KPPnloc(:, ...
% $$$ % $$$ months,yrs),'DD + KPP non-local + Int. Convection',[0.49 0.18 0.56],2,'-'}, ...
% $$$ % $$$ % $$$ {VDFsum(:,months,yrs), 'Vertical Mixing SUM','r',2,'--'}, ...
% $$$ % $$$ };
% $$$
% $$$ Fscale = 1/1e15;
% $$$
% $$$ yrtyps = {'-','-','--','-.',':'}; % line-types for different years
% $$$
% $$$ %Fluxes only:
% $$$ figure;
% $$$ set(gcf,'Position',[207 97 1609 815]);
% $$$ leg = {};
% $$$ legh = [];
% $$$ for i=1:length(fields)
% $$$ hold on;
% $$$ if (length(fields{i}{1}(:,1)) == length(Te))
% $$$ x = Te;
% $$$ else
% $$$ x = T;
% $$$ end
% $$$
% $$$ % Plot years from a single run separately:
% $$$ % $$$ for j=1:length(yrs)
% $$$ % $$$ h = plot(Te,monmean(fields{i}{1}(:,:,yrs(j)),2,ndays(months))*Fscale,yrtyps{j}, 'color',fields{i}{3} ...
% $$$ % $$$ ,'linewidth',3);
% $$$ % $$$ if (j == 1)
% $$$ % $$$ legh(i) = h;
% $$$ % $$$ end
% $$$ % $$$ end
% $$$ % $$$ leg{i} = fields{i}{2};
% $$$
% $$$ % Average years together for a single run:
% $$$ % $$$ legh(i) = plot(x,mean(monmean(fields{i}{1},2,ndays(months))*Fscale,3),fields{i}{5}, 'color',fields{i}{3} ...
% $$$ % $$$ ,'linewidth',fields{i}{4});
% $$$ % $$$ leg{i} = fields{i}{2};
% $$$
% $$$ % Average years together for multiple runs:
% $$$ tmp = plot(x,mean(monmean(fields{i}{1},2,ndays(months))*Fscale,3),yrtyps{rr}, 'color',fields{i}{3} ...
% $$$ ,'linewidth',fields{i}{4});
% $$$ % $$$ if i==1
% $$$ % $$$ leg{rr} = strrep(RUNS{rr}{1},'_',' ');
% $$$ % $$$ legh(rr) = tmp;
% $$$ % $$$ end
% $$$ end
% $$$ ylim([-1.5 1.5]);
% $$$ xlim([-3 31]);
% $$$ box on;
% $$$ grid on;
% $$$ ylabel('Heat flux into fluid warmer than $\Theta$ (PW)');
% $$$ xlabel('Temperature $\Theta$ ($^\circ$C)');
% $$$ % $$$ lg = legend(legh,leg);
% $$$ % $$$ set(lg,'Position',[0.5881 0.5500 0.2041 0.2588]);
% $$$
% $$$ end
% $$$ end
% $$$
% $$$ % Region averages for different runs:
% $$$ ff = mean(monmean(fields{i}{1},2,ndays(months))*Fscale,3);
% $$$ [tmp ind1] = min(abs(Te-17.5));
% $$$ [tmp ind2] = min(abs(Te-25));
% $$$ RUNS{rr}{3} = mean(ff(ind1:ind2));
% $$$ ff = mean(monmean(fields{i}{1},2,ndays(months))*Fscale,3);
% $$$ [tmp ind1] = min(abs(Te-0));
% $$$ [tmp ind2] = min(abs(Te-10));
% $$$ RUNS{rr}{4} = mean(ff(ind1:ind2));
% $$$
% $$$ end
% $$$
% $$$ % Plot bar graph:
% $$$ data = zeros(length(RUNS),2);
% $$$ labs = cell(length(RUNS),1);
% $$$ for rr=1:length(RUNS)
% $$$ data(rr,1) = RUNS{rr}{3};
% $$$ data(rr,2) = RUNS{rr}{4};
% $$$ labs{rr} = strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ','AOM'),'deg jra55','');
% $$$ end
% $$$
% $$$ % $$$ order = 1:length(RUNS);
% $$$ % $$$ order = [6 3 4 1 2 5 12 14 13 9 10 11];
% $$$ redi = [0 0 0 0 0 1 0 1 1 1 1 1];
% $$$ bakd = [0 0 1 1 1 0 0 0 0 0 0 0];
% $$$ horbar = [1 9];
% $$$ clf;
% $$$ b = barh(data(order,:),'BarWidth',1.5)
% $$$ xlabel('Numerical Mixing (PW)');
% $$$ cnt = 1;
% $$$ for rr=order
% $$$ text(-0.98,cnt,labs{rr});
% $$$ if (redi(cnt))
% $$$ text(-0.65,cnt,'REDI','color','r');
% $$$ end
% $$$ if (bakd(cnt))
% $$$ text(-0.65,cnt,'BAKD','color','c');
% $$$ end
% $$$ cnt = cnt+1;
% $$$ end
% $$$ hold on;
% $$$ for ii=1:length(horbar)
% $$$ plot([-1 0],(horbar(ii)+0.5)*[1 1],'--k','linewidth',2);
% $$$ end
% $$$ set(gca,'ytick',[]);
% $$$ title('Blue = Numerical Mixing $17.5^\circ$C-$25^\circ$C, Yellow = Numerical Mixing $0^\circ$C-$10^\circ$C');
% $$$
% $$$ %%%%WM Transformation / Volume Budget:
% $$$ % 05-12-17 Note: The volume budget of the Pacific now closes
% $$$ % satisfactorily, after fixing masks and including submeso transport.
% $$$ % I.e. the WMT term G (calculated via residual) is now 0.0046 Sv at
% $$$ % -3C, whereas before it was 0.5Sv (it should be zero).
% $$$ months = [1:12];
% $$$
% $$$ fields = { ...
% $$$ {dVdt(:,months,yrs), 'Tendency $\frac{\partial\mathcal{V}}{\partial t}$','m',2,'-'}, ...
% $$$ {JS(:,months,yrs), 'Surface Volume Flux $\mathcal{J}_S$',0.5*[1 1 1],2,':'}, ...
% $$$ % $$$ {G(:,months,yrs), 'WMT $\mathcal{G}$',[0 0.5 0],2,'--'}, ...
% $$$ {WMT(:,months,yrs), 'Total WMT $\mathcal{G}$',[0 0.5 0],2,'--'}, ...
% $$$ {WMTM(:,months,yrs), 'WMT $\mathcal{G}$ from Vertical Mixing','r',2,'-'}, ...
% $$$ {WMTF(:,months,yrs), 'WMT $\mathcal{G}$ from Surface Forcing','k',2,'-'}, ...
% $$$ {WMTI(:,months,yrs), 'WMT $\mathcal{G}$ from Implicit Mixing','b',2,'-'}, ...
% $$$ % $$$ {WMTR(:,months,yrs), 'Interior WMT $\mathcal{G}$ from Heat Fluxes','b',2,'--'}, ...
% $$$ % $$$ {-JI(:,months,yrs), 'ITF + SF + BS $-\mathcal{J_I}$',[0 0.5 0],2,'-'}, ...
% $$$ % $$$ {-JITF(:,months,yrs), 'ITF Volume Loss',[0 0.5 0],2,'--'}, ...
% $$$ % $$$ {-JSP(:,months,yrs), 'South Pacific Volume Loss',[0 0.5 0],2,'-.'}, ...
% $$$ % $$$ {-JBS(:,months,yrs), 'Bering Strait Volume Loss',[0 0.5 0],2,':'}, ...
% $$$ };
% $$$
% $$$ Mscale = 1/1e6;
% $$$
% $$$ %Fluxes only:
% $$$ figure;
% $$$ set(gcf,'Position',[207 97 1609 815]);
% $$$ leg = {};
% $$$ legh = [];
% $$$ for i=1:length(fields)
% $$$ hold on;
% $$$ if (length(fields{i}{1}(:,1)) == length(Te))
% $$$ x = Te;
% $$$ else
% $$$ x = T;
% $$$ end
% $$$ legh(i) = plot(x,mean(monmean(fields{i}{1},2,ndays(months))*Mscale,3),fields{i}{5}, 'color',fields{i}{3} ...
% $$$ ,'linewidth',fields{i}{4});
% $$$ leg{i} = fields{i}{2};
% $$$ end
% $$$ ylim([-50 80]);
% $$$ xlim([-3 31]);
% $$$ box on;
% $$$ grid on;
% $$$ ylabel('Water Mass Transformation (Sv)');
% $$$ xlabel('Temperature $\Theta$ ($^\circ$C)');
% $$$ lg = legend(legh,leg);
% $$$ set(lg,'Position',[0.5881 0.5500 0.2041 0.2588]);
% $$$
% $$$ %%% Temperature vs. time:
% $$$ months = [1:12];
% $$$ fields = { ...
% $$$ % $$$ {N(:,months,yrs), 'Internal HC Tendency $\mathcal{N}$','m',2,'-'}, ...
% $$$ % $$$ {F(:,months,yrs)+PI(:,months,yrs), 'Surface Forcing $\mathcal{F}+\mathcal{P}_I$','k',2,'-'}, ...
% $$$ % $$$ {F(:,months,yrs), 'Surface Heat Fluxes $\mathcal{F}$','k',2,'-'}, ...
% $$$ % $$$ {P(:,months,yrs), 'Surface Volume Fluxes $\mathcal{P}$',[0.49 0.18 0.56],2,'-'}, ...
% $$$ % $$$ {PI(:,months,yrs), 'Surface Volume Fluxes $\mathcal{P}_I$',[0.49 0.18 0.56],2,'--'}, ...
% $$$ % $$$ {M(:,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ {I(:,months,yrs), 'Numerical Mixing $\mathcal{I}$','b',2,'-'}, ...
% $$$ % $$$ {R(:,months,yrs), 'Redi Mixing $\mathcal{R}$',[0 0.5 0],2,'-'}, ...
% $$$ % $$$ {GM(:,months,yrs), 'GM $\mathcal{G}$',[0 0.5 0],2,'--'}, ...
% $$$ % $$$ {SUB(:,months,yrs), 'SUB $\mathcal{S}$',[0 0.5 0],2,':'}, ...
% $$$ % $$$ {HWMTI(:,months,yrs), 'Advective Implicit Mixing','b',2,'--'}, ...
% $$$ % $$$ {HWMTM(:,months,yrs), 'Advective Vertical Mixing','r',2,'--'}, ...
% $$$ % $$$ {HWMTF(:,months,yrs), 'Advective Surface Forcing','k',2,'--'}, ...
% $$$ % $$$ {M(:,months,yrs)+I(:,months,yrs), 'Total Mixing $\mathcal{M}+\mathcal{I}$',[0 0.5 0],2,'--'}, ...
% $$$ % $$$ {Nmon(:,months,yrs), 'Monthly-Binned Total','m',2,'--'}, ...
% $$$ % $$$ {SW(:,months,yrs), 'Shortwave Redistribution',0.5*[1 1 1],2,'--'}, ...
% $$$ % $$$ {dHdt(:,months,yrs), 'HC Tendency $\frac{\partial\mathcal{H}}{\partial t}$','m',2,'--'}, ...
% $$$ % $$$ {CIA(:,months,yrs), 'Across-Isotherm Advection $\mathcal{G}\Theta\rho_0C_p$',[0.49 0.18 0.56],2,'--'}, ...
% $$$ % $$$ {M(:,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ % $$$ {VDFtotal(:,months,yrs), 'Vertical Diffusion','r',2,'-'}, ...
% $$$ % $$$ {VDFkppiw(:,months,yrs), 'Background','b',2,'-'}, ...
% $$$ % $$$ {VDFkppish(:,months,yrs), 'Shear Instability','g',2,'-'}, ...
% $$$ % $$$ {VDFkppbl(:,months,yrs), 'KPP Boundary Layer','c',2,'-'}, ...
% $$$ % $$$ {VDFwave(:,months,yrs), 'Vertical Diffusion WAVE','k',2,'-'}, ...
% $$$ % $$$ {VDFkppicon(:,months,yrs), 'Vertical Diffusion KPPICON','y',2,'-'}, ...
% $$$ % $$$ {VDFkppdd(:,months,yrs), 'Vertical Diffusion KPPDD','m',2,'-'}, ...
% $$$ % $$$ {VDFsum(:,months,yrs), 'Vertical Diffusion SUM','r',2,'--'}, ...
% $$$ % $$$ {KPPnloc(:,months,yrs), 'KPP Non-local','m',2,'--'}, ...
% $$$ };
% $$$
% $$$ % Fluxes:
% $$$ scale = 1/1e15;label = '(PW)';x = Te;
% $$$ caxs = [-1.5 0];
% $$$ sp = 0.05;
% $$$ caxs = [-5 5];
% $$$ sp = 0.5;
% $$$
% $$$ % $$$ % Transformations:
% $$$ % $$$ scale = 1/1e6;label = '(Sv)';
% $$$ % $$$ caxs = [-250 250];
% $$$ % $$$ sp = 25;
% $$$ % $$$ caxs = [-70 70];
% $$$ % $$$ sp = 3.5;
% $$$
% $$$ cint = [-1e10 caxs(1):sp:caxs(2) 1e10];
% $$$
% $$$ % $$$ figure;
% $$$ %set(gcf,'Position',get(0,'ScreenSize'));
% $$$ % $$$ set(gcf,'Position',[3 40 956 963]);
% $$$ for ii=1:length(fields)
% $$$ % $$$ subplot(1,length(fields),ii);
% $$$ subplot_tight(3,4,rr);%1,length(fields),ii);
% $$$ V = mean(fields{ii}{1},3)'*scale;
% $$$ if (length(fields{ii}{1}(:,1)) == length(Te))
% $$$ x = Te;
% $$$ else
% $$$ x = T;
% $$$ end
% $$$ [X,Y] = ndgrid(1:tL,x);
% $$$ contourf(X,Y,V,cint);%,'linestyle','none');
% $$$ % $$$ cb = colorbar('Location','NorthOutside','FontSize',25);
% $$$ set(gca,'ytick',-5:5:35);
% $$$ set(gca,'xtick',[1:tL]);
% $$$ if (rr>=9)
% $$$ set(gca,'xticklabel',{'Jan','Feb','Mar','Apr','May','Jun', ...
% $$$ 'Jul','Aug','Sep','Oct','Nov','Dec'});
% $$$ else
% $$$ set(gca,'xticklabel',[]);
% $$$ end
% $$$ ylim([-3 31]);
% $$$ grid on;
% $$$ caxis(caxs);
% $$$ % $$$ xlabel('Month');
% $$$ % $$$ ylabel('Temperature ($^\circ$C)');
% $$$ % $$$ xlabel(cb,strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ','AOM'),'deg jra55',''));
% $$$ % $$$ xlabel(cb,[model ' ' fields{ii}{2} ' ' ...
% $$$ % $$$ label],'FontSize',20);
% $$$ title(strrep(strrep(strrep(RUNS{rr}{1},'_',' '),'ACCESS-OM2 ','AOM'),'deg jra55',''));
% $$$ if (mod(rr,4) == 0)
% $$$ pos = get(gca,'Position');
% $$$ cb = colorbar;
% $$$ set(gca,'Position',pos);
% $$$ end
% $$$ set(gca,'FontSize',15);
% $$$ end
% $$$ cmap = redblue((length(cint)-3)*2);
% $$$ cmap = cmap(1:(length(cint)-3),:);
% $$$ colormap(cmap);
% $$$ colormap(redblue);
% $$$
% $$$ %% Global Seasonal Cycle TS
% $$$ months = 1:12;
% $$$ Ts = 21.5;
% $$$ [tmp ind] = min(abs(Te-Ts));
% $$$
% $$$ Fscale = 1/1e15;
% $$$
% $$$ figure;
% $$$ %set(gcf,'Position',get(0,'ScreenSize'));
% $$$ set(gcf,'Position',[34 40 1164 963]);
% $$$ set(gcf,'defaultlinelinewidth',2);
% $$$
% $$$
% $$$ subplot(2,1,1);
% $$$ fields = {
% $$$ {F(ind,months,yrs)+PI(ind,months,yrs), 'Surface Forcing $\mathcal{F}$','k',2,'-'}, ...
% $$$ {N(ind,months,yrs), 'Total $\mathcal{N}$','m',2,'-'}, ...
% $$$ {M(ind,months,yrs)+I(ind,months,yrs), 'Total Mixing $\mathcal{M}+\mathcal{I}$',[0 0.5 0],2,'--'}, ...
% $$$ };
% $$$
% $$$ leg = {};
% $$$ legh = [];
% $$$ for i=1:length(fields)
% $$$ hold on;
% $$$ % $$$ for j=1:length(P(1,1,:))
% $$$ % $$$ plot(1:tL,fields{i}{1}(:,:,j)*Fscale,fields{i}{5}, ...
% $$$ % $$$ 'color',0.7*[1 1 1] ...
% $$$ % $$$ ,'linewidth',0.5);
% $$$ % $$$ end
% $$$ legh(i) = plot(1:tL,mean(fields{i}{1},3)*Fscale,fields{i}{5}, ...
% $$$ 'color',fields{i}{3} ...
% $$$ ,'linewidth',fields{i}{4});
% $$$ hold on;
% $$$ leg{i} = fields{i}{2};
% $$$ end
% $$$ xlabel('Month');
% $$$ ylabel('PW');
% $$$ lg = legend(legh,leg);
% $$$ ylim([-5 5]);
% $$$ xlim([1 tL]);
% $$$ set(gca,'xtick',[1:tL]);
% $$$ set(gca,'xticklabel',{'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'});
% $$$ set(gca,'FontSize',25);
% $$$ grid on;box on;
% $$$ LabelAxes(gca,1,25,0.003,0.925);
% $$$
% $$$ subplot(2,1,2);
% $$$ fields = {
% $$$ {M(ind,months,yrs), 'Vertical Mixing $\mathcal{M}$','r',2,'-'}, ...
% $$$ {VDFkppiw(ind,months,yrs), 'Background',[0 0.5 0],2,'-'}, ...
% $$$ {VDFkppish(ind,months,yrs), 'Shear Instability',[0 0.5 0],2,'-'}, ...
% $$$ {VDFkppbl(ind,months,yrs), 'KPP Boundary Layer',[0 0.5 0],2,'-'}, ...
% $$$ {VDFwave(ind,months,yrs), 'Topographic Internal Wave',[0 0.5 0],2,'-'}, ...
% $$$ {VDFwave(ind,months,yrs), 'Topographic Internal Wave',[0 0.5 0],2,'-'}, ...
% $$$ {VDFkppdd(ind,months,yrs)+VDFkppicon(ind,months,yrs)+KPPnloc(ind, ...
% $$$ months,yrs),'Other',[0.49 0.18 0.56],2,'-'}, ...
% $$$ % $$$ {I(ind,months,yrs), 'Implicit Mixing $\mathcal{I}$','b',2,'-'}, ...
% $$$ % $$$ {M(ind,months,yrs)+I(ind,months,yrs), 'Total Mixing $\mathcal{M}+\mathcal{I}$',[0 0.5 0],2,'--'}, ...
% $$$ };
% $$$ leg = {};
% $$$ legh = [];
% $$$ for i=1:length(fields)
% $$$ hold on;
% $$$ % $$$ for j=1:length(P(1,1,:))
% $$$ % $$$ plot(1:tL,fields{i}{1}(:,:,j)*Fscale,fields{i}{5}, ...
% $$$ % $$$ 'color',0.7*[1 1 1] ...
% $$$ % $$$ ,'linewidth',0.5);
% $$$ % $$$ end
% $$$ legh(i) = plot(1:tL,mean(fields{i}{1},3)*Fscale,fields{i}{5}, ...
% $$$ 'color',fields{i}{3} ...
% $$$ ,'linewidth',fields{i}{4});
% $$$ hold on;
% $$$ leg{i} = fields{i}{2};
% $$$ end
% $$$ xlabel('Month');
% $$$ ylabel('PW');
% $$$ lg = legend(legh,leg);
% $$$ ylim([-2 0]);
% $$$ xlim([1 tL]);
% $$$ set(gca,'xticklabel',{'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'});
% $$$ set(gca,'xtick',[1:tL]);
% $$$ set(gca,'FontSize',25);
% $$$ grid on;box on;
% $$$ LabelAxes(gca,2,25,0.003,0.925);
%%% Spatial Structure:
VAR = 'FlM';
TYPE = 'VertInt';
Tl = 22.5;
name = [base model sprintf('_output%03d',outputs(1)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']
eval(['load(name,''' VAR ''');']);
eval([VAR '(isnan(' VAR ')) = 0.0;']);
if (length(outputs)==1)
eval([VAR ' = reshape(' VAR ',[length(' VAR '(:,1,1)) length(' VAR '(1,:,1)) 12 nyrs]);']);
eval([VAR ' = mean(' VAR '(:,:,:,yrs),4);']);
else
eval([VAR 'a = ' VAR ';']);
for i=2:length(outputs)
name = [base model sprintf('_output%03d',outputs(i)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']
eval(['load(name,''' VAR ''');']);
eval([VAR '(isnan(' VAR ')) = 0.0;']);
eval([VAR 'a = ' VAR 'a + ' VAR ';']);
end
eval([VAR ' = ' VAR 'a/length(outputs);']);
eval([VAR '(' VAR '==0) = NaN;']);
end
eval(['FlM = ' VAR ';']);
% $$$
% $$$ FlMblall = FlM - FlMwave - FlMkppish;
% $$$ FlM = FlMblall;
% $$$
% $$$ % $$$ % CHECK spatial structure sums to total:
% $$$ % $$$ % $$$ Tls = [14.75:2.5:27.25]+0.25;
% $$$ % $$$ Tls = [5 10 15:2.5:27.5]-0.25;
% $$$ % $$$ SUM = zeros(size(Tls));
% $$$ % $$$ for ii = 1:length(Tls)
% $$$ % $$$
% $$$ % $$$ Tl = Tls(ii)
% $$$ % $$$ load([base model sprintf('_output%03d',outputs(1)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']);
% $$$ % $$$ eval([VAR '(isnan(' VAR ')) = 0.0;']);
% $$$ % $$$ eval([VAR 'a = ' VAR ';']);
% $$$ % $$$ for i=2:length(outputs)
% $$$ % $$$ load([base model sprintf('_output%03d',outputs(i)) '_' TYPE '_T' strrep(num2str(Tl),'.','p') 'C.mat']);
% $$$ % $$$ eval([VAR '(isnan(' VAR ')) = 0.0;']);
% $$$ % $$$ eval([VAR 'a = ' VAR 'a + ' VAR ';']);
% $$$ % $$$ end
% $$$ % $$$ eval([VAR ' = ' VAR 'a/length(outputs);']);
% $$$ % $$$ eval([VAR '(' VAR '==0) = NaN;']);
% $$$ % $$$ eval(['FlM = ' VAR ';']);
% $$$ % $$$ tmp = FlM;
% $$$ % $$$ tmp(isnan(tmp)) = 0.0;
% $$$ % $$$ Z = monmean(tmp(:,:,months),3,ndays(months));
% $$$ % $$$ Z(Z == 0) = NaN;
% $$$ % $$$ SUM(ii) = nansum(nansum(area.*Z));
% $$$ % $$$ end
% $$$ %plot(Tls,SUM/1e6,'Xb','MarkerSize',12,'LineWidth',2);
% $$$ %plot(Tls,SUM/1e15,'Xb','MarkerSize',12,'LineWidth',2);
% $$$
% $$$ % $$$ %%% Regional time series
% $$$ % $$$ % $$$
% $$$ % $$$ %[mask_t,~] = Heat_Budget_Mask('Pacific','','','',base,'MOM025');
% $$$ % $$$ mask_t = zeros(size(lon));
% $$$ % $$$ months = [1:12];
% $$$ % $$$ %Region choice:
% $$$ % $$$ regions = { ...
% $$$ % $$$ {'Global',lat==lat,'k'}, ...
% $$$ % $$$ {'Equatorial',abs(lat)<=10,'k'}, ...
% $$$ % $$$ {'Eastern Pacific',lat > -10 & lat < 10 & lon > -160 & lon<-70,[0.4667 0.6745 0.1882]}, ...
% $$$ % $$$ {'Kuroshio', lat < 50 & lat > 10 & lon > -260 & lon < -140,'r'}, ...
% $$$ % $$$ {'Gulf Stream', lat < 50 & lat > 10 & lon > -100 & lon < 0 & ~mask_t,'b'}, ...
% $$$ % $$$ {'Indian', lat < 25 & lat > -55 & (lon > 20 | lon < -260),[0.4941 0.1843 0.5569]}, ...
% $$$ % $$$ {'South Pacific/Atlantic', lat < -10 & lat > -55 & lon > -260 & lon < 20,'g'}, ...
% $$$ % $$$ };
% $$$ % $$$ % $$$ {'Eastern Pacific',lat > -20 & lat < 20 & lon > -150 & lon<-60 & mask_t,[0.4667 0.6745 0.1882]}, ...
% $$$ % $$$ % $$$ {'WWV',abs(lat)<=5 & lon>
% $$$ % $$$ % $$$ {'NH',lat>10,'k'}, ...
% $$$ % $$$ % $$$ {'SH',lat<-10,'k'}, ...
% $$$ % $$$ % $$$ {'Outside Equatorial',lat<-10 | lat > 10,'k'}, ...
% $$$ % $$$ % $$$ {'Nino 3',lat > -5 & lat < 5 & lon > -150 & lon < -90,'m'}, ...
% $$$ % $$$ % $$$ {'Eastern Pacific',lat > -10 & lat < 10 & lon > -160 & mask_t,'c'}, ...
% $$$ % $$$ % $$$ {'Equatorial Atlantic',lat > -10 & lat < 10 & lon > -65 & lon < 20,[0 0.5 0]}, ...
% $$$ % $$$ % $$$ {'Western Pacific',lat > -10 & lat < 10 & lon > -260 & lon < -160,[0.5 0.5 0.5]}, ...
% $$$ % $$$ % $$$ {'Gulf Stream', lat < 45 & lat > 10 & lon > -100 & lon < -40 & ~mask_t,'b'}, ...
% $$$ % $$$
% $$$ % $$$ Field = zeros(12,length(regions));
% $$$ % $$$ AREA = zeros(12,length(regions));
% $$$ % $$$ for i=1:12
% $$$ % $$$ Mtmp = FlM(:,:,i);
% $$$ % $$$ Atmp = area;
% $$$ % $$$ Atmp(isnan(Mtmp)) = NaN;
% $$$ % $$$
% $$$ % $$$ for ii=1:length(regions)
% $$$ % $$$ Field(i,ii) = nansum(nansum(area(regions{ii}{2}).*Mtmp(regions{ii}{2}),1),2);
% $$$ % $$$ AREA(i,ii) = nansum(nansum(Atmp(regions{ii}{2}),1),2);
% $$$ % $$$ end
% $$$ % $$$ end
% $$$ % $$$
% $$$ % $$$ %Display output in terminal for table:
% $$$ % $$$ str = {['Area fractions model ' model ' Temp ' num2str(Tl)] ;
% $$$ % $$$ ' '};
% $$$ % $$$ for ii = 1:length(regions)
% $$$ % $$$ str{ii+2} = sprintf([regions{ii}{1} ' area = %3.2f'], ...
% $$$ % $$$ monmean(AREA(:,ii),1,ndays(months))/monmean(AREA(:,1),1,ndays(months)));
% $$$ % $$$ end
% $$$ % $$$ str
% $$$ % $$$
% $$$ % $$$ str = {['Annual totals model ' model ' Temp ' num2str(Tl)] ;
% $$$ % $$$ ' '};
% $$$ % $$$ for ii = 1:length(regions)
% $$$ % $$$ str{ii+2} = [regions{ii}{1} sprintf(' = %3.2fPW (%3.0f)', ...
% $$$ % $$$ monmean(Field(:,ii),1,ndays(months))/1e15,monmean(Field(:,ii),1,ndays(months))/monmean(Field(:,1),1,ndays(months))*100)];
% $$$ % $$$ end
% $$$ % $$$ str
% $$$ % $$$
% $$$ % $$$ str = {['SC range model ' model ' Temp ' num2str(Tl)] ;
% $$$ % $$$ ' '};
% $$$ % $$$ for ii = 1:length(regions)
% $$$ % $$$ str{ii+2} = [regions{ii}{1} sprintf(' = %3.2fPW (%3.0f)', ...
% $$$ % $$$ (max(Field(:,ii))-min(Field(:,ii)))/1e15,(max(Field(:,ii))-min(Field(:,ii)))/(max(Field(:,1))-min(Field(:,1)))*100)];
% $$$ % $$$ end
% $$$ % $$$ str
% $$$ % $$$
% $$$ % $$$ % $$$ mn1 = 4;mn2 = 7;
% $$$ % $$$ % $$$ str = {['SC range Apr-Jul model ' model ' Temp ' num2str(Tl)] ;
% $$$ % $$$ % $$$ ' '};
% $$$ % $$$ mn1 = 5;mn2 = 8;
% $$$ % $$$ str = {['SC range May-Aug model ' model ' Temp ' num2str(Tl)] ;
% $$$ % $$$ ' '};
% $$$ % $$$ for ii = 1:length(regions)
% $$$ % $$$ str{ii+2} = [regions{ii}{1} sprintf(' = %3.5fPW (%3.0f)', ...
% $$$ % $$$ (Field(mn1,ii)-Field(mn2,ii))/1e15,(Field(mn1,ii)-Field(mn2,ii))/(Field(mn1,1)-Field(mn2,1))*100)];
% $$$ % $$$ end
% $$$ % $$$ str
% $$$ % $$$
% $$$ % $$$
% $$$ % $$$ % $$$ % The 1% (within Nino 3) area count of the annual mean:
% $$$ % $$$ % $$$ inds = lat > -5 & lat < 5 & lon > -150 & lon < -90;
% $$$ % $$$ % $$$ M1p = zeros(length(find(inds)),12);
% $$$ % $$$ % $$$ A1p = area(inds);
% $$$ % $$$ % $$$ AREAtotal = zeros(12,1);
% $$$ % $$$ % $$$ for i=1:12
% $$$ % $$$ % $$$ Mtmp = FlM(:,:,i);
% $$$ % $$$ % $$$ M1p(:,i) = A1p.*Mtmp(inds);
% $$$ % $$$ % $$$ Atmp = area;
% $$$ % $$$ % $$$ Atmp(isnan(Mtmp)) = NaN;
% $$$ % $$$ % $$$ AREAtotal(i) = nansum(nansum(Atmp,1),2);
% $$$ % $$$ % $$$ end
% $$$ % $$$ % $$$ M1pA = monmean(M1p,2,ndays(months));
% $$$ % $$$ % $$$ [M1pA,I] = sort(M1pA);
% $$$ % $$$ % $$$ M1p = M1p(I,:);
% $$$ % $$$ % $$$ Atotal = monmean(AREAtotal,1,ndays(months));
% $$$ % $$$ % $$$ [tmp ind] = min(abs(cumsum(A1p(I))/Atotal - 0.005));
% $$$ % $$$ % $$$ %plot(cumsum(A1p(I))/Atotal*100,cumsum(M1pA)/monmean(MAll,2,ndays(months))*100)
% $$$ % $$$ % $$$ M1pA = sum(M1pA(1:ind));
% $$$ % $$$ % $$$ M1pSCR = (sum(M1p(1:ind,mn1))-sum(M1p(1:ind,mn2)));
% $$$ % $$$ % $$$ MAll = Field(:,1)';
% $$$ % $$$ % $$$
% $$$ % $$$ % $$$ str = {['1% area within Nino 3 model ' model ' Temp ' num2str(Tl)] ; ...
% $$$ % $$$ % $$$ sprintf(' 1p Annual-Mean = %3.2fPW (%3.0f)',M1pA/1e15,M1pA/monmean(MAll,2,ndays(months))*100); ...
% $$$ % $$$ % $$$ sprintf(' 1p SC Apr-Jul = %3.2fPW (%3.0f)',M1pSCR/1e15,M1pSCR/((MAll(mn1))-(MAll(mn2)))*100)}
% $$$ % $$$
% $$$ % $$$ % $$$ % Average fluxes, isotherm separationl, diffusivity:
% $$$ % $$$ % $$$ load([base 'MOM025_output002_Ziso_T23C.mat']);
% $$$ % $$$ % $$$ topiso = ziso;
% $$$ % $$$ % $$$ load([base 'MOM025_output002_Ziso_T22C.mat']);
% $$$ % $$$ % $$$ botiso = ziso;
% $$$ % $$$ % $$$ AvgFlux = MAll./AREAtotal;
% $$$ % $$$ % $$$ NaNs = isnan(topiso-botiso);
% $$$ % $$$ % $$$ AvgDZ = zeros(12,1);
% $$$ % $$$ % $$$ for ii=1:12
% $$$ % $$$ % $$$ AvgDZ(ii) = nansum(nansum(((topiso(:,:,ii)-botiso(:,:,ii)).*area),1),2)./ ...
% $$$ % $$$ % $$$ nansum(area(~isnan((topiso(:,:,ii)-botiso(:,:,ii)))));
% $$$ % $$$ % $$$ end
% $$$ % $$$ % $$$ AvgDiff = monmean(AvgFlux/rho0/Cp.*AvgDZ',2,ndays(months))
% $$$ % $$$ % $$$ AvgFlux = monmean(AvgFlux,2,ndays(months))
% $$$ % $$$ % $$$ AvgDZ = monmean(AvgDZ',2,ndays(months))
% $$$ % $$$ % $$$ sprintf('Average flux across the isotherm = %3.1f Wm-2',AvgFlux)
% $$$ % $$$ % $$$ sprintf('Average diffusivity = %3.5f m2s-1',AvgDiff)
% $$$ % $$$ % $$$
% $$$ % $$$ figure;
% $$$ % $$$ set(gcf,'Position',get(0,'ScreenSize'));
% $$$ % $$$ set(gcf,'defaultlinelinewidth',2);
% $$$ % $$$
% $$$ % $$$ legstr = {};
% $$$ % $$$ for ii=1:length(regions)
% $$$ % $$$ plot(1:12,Field(:,ii)/1e15,'-','color',regions{ii}{3},'LineWidth',2);
% $$$ % $$$ hold on;
% $$$ % $$$ legstr{ii} = regions{ii}{1};
% $$$ % $$$ end
% $$$ % $$$ % $$$ plot(1:12,MEEP/1e15,'--r','LineWidth',4);
% $$$ % $$$ % $$$ hold on;
% $$$ % $$$ % $$$ plot(1:12,MEq/1e15,'--k','LineWidth',4);
% $$$ % $$$ % $$$ plot(1:12,MN/1e15,':b','LineWidth',4);
% $$$ % $$$ % $$$ plot(1:12,MS/1e15,':','color',[0 0.5 0],'LineWidth',4);
% $$$ % $$$ % $$$ plot(1:12,(MN+MS)/1e15,':k','LineWidth',4);
% $$$ % $$$ % $$$ plot(1:12,MAll/1e15,'-k','LineWidth',4);
% $$$ % $$$ xlabel('Month');
% $$$ % $$$ ylabel(['PW']);
% $$$ % $$$ % $$$ title(['Vertical mixing heat flux through $' num2str(Tl) '^\circ$C isotherm']);
% $$$ % $$$ title(['Implicit mixing heat flux through $' num2str(Tl) '^\circ$C isotherm']);
% $$$ % $$$
% $$$ % $$$ leg = legend(legstr);
% $$$ % $$$ % $$$ 'Eastern Equatorial Pacific', ...
% $$$ % $$$ % $$$ 'Equatorial',['Northern Hemisphere $>' num2str(LATsplit) '^\circ$N'], ...
% $$$ % $$$ % $$$ ['Southern Hemisphere $<' num2str(LATsplit) '^\circ$S'], ...
% $$$ % $$$ % $$$ ['Outside Equatorial $>\pm' num2str(LATsplit) '^\circ$'], ...
% $$$ % $$$ % $$$ ['Total']);
% $$$ % $$$ set(leg,'Position',[0.1481 0.2656 0.2314 0.2340]);
% $$$ % $$$ ylim([-0.8 0]);
% $$$ % $$$ xlim([1 12]);
% $$$ % $$$ set(gca,'xticklabel',{'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'});
% $$$ % $$$ set(gca,'xtick',[1:12]);
% $$$ % $$$ set(gca,'Position',[0.1300 0.2451 0.5949 0.6799]);
% $$$ % $$$ set(gca,'FontSize',25);
% $$$ % $$$ grid on;
% $$$ % $$$ % $$$
% $$$ % $$$ % $$$ axes('Position',[0.74 0.2451 0.13 0.6799]);
% $$$ % $$$ % $$$ plot([0 1],[min(MAll/1e15) min(MAll/1e15)],'-k','linewidth',2);
% $$$ % $$$ % $$$ hold on;
% $$$ % $$$ % $$$ plot([0 1],[max(MAll/1e15) max(MAll/1e15)],'-k','linewidth',2);
% $$$ % $$$ % $$$ text(0.5,mean([min(MAll/1e15) max(MAll/1e15)]),sprintf('%3.2f ',max(MAll/1e15)-min(MAll/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'FontSize',25);
% $$$ % $$$ % $$$ plot([1 2],[min(MEq/1e15) min(MEq/1e15)],'--k','linewidth',2);
% $$$ % $$$ % $$$ plot([1 2],[max(MEq/1e15) max(MEq/1e15)],'--k','linewidth',2);
% $$$ % $$$ % $$$ text(1.5,mean([min(MEq/1e15) max(MEq/1e15)]),sprintf('%3.2f ',max(MEq/1e15)-min(MEq/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'FontSize',25);
% $$$ % $$$ % $$$ plot([2 3],[min(MEEP/1e15) min(MEEP/1e15)],'--r','linewidth',2);
% $$$ % $$$ % $$$ plot([2 3],[max(MEEP/1e15) max(MEEP/1e15)],'--r','linewidth',2);
% $$$ % $$$ % $$$ text(2.5,mean([min(MEEP/1e15) max(MEEP/1e15)]),sprintf('%3.2f ',max(MEEP/1e15)-min(MEEP/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'color','r','FontSize',25);
% $$$ % $$$ % $$$ plot([3 4],[min(MN/1e15) min(MN/1e15)],':b','linewidth',2);
% $$$ % $$$ % $$$ plot([3 4],[max(MN/1e15) max(MN/1e15)],':b','linewidth',2);
% $$$ % $$$ % $$$ text(3.5,mean([min(MN/1e15) max(MN/1e15)]),sprintf('%3.2f ',max(MN/1e15)-min(MN/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'color','b','FontSize',25);
% $$$ % $$$ % $$$ plot([4 5],[min(MS/1e15) min(MS/1e15)],':','linewidth',2,'color',[0 ...
% $$$ % $$$ % $$$ 0.5 0]);
% $$$ % $$$ % $$$ plot([4 5],[max(MS/1e15) max(MS/1e15)],':','linewidth',2,'color',[0 ...
% $$$ % $$$ % $$$ 0.5 0]);
% $$$ % $$$ % $$$ text(4.5,mean([min(MS/1e15) max(MS/1e15)]),sprintf('%3.2f ',max(MS/1e15)- min(MS/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'color',[0 0.5 0],'FontSize',25);
% $$$ % $$$ % $$$ plot([5 6],[min((MN+MS)/1e15) min((MN+MS)/1e15)],':k','linewidth',2);
% $$$ % $$$ % $$$ plot([5 6],[max((MN+MS)/1e15) max((MN+MS)/1e15)],':k','linewidth',2);
% $$$ % $$$ % $$$ text(5.5,mean([min((MN+MS)/1e15) max((MN+MS)/1e15)]),sprintf('%3.2f ',max((MN+MS)/1e15)-min((MN+MS)/1e15)),'VerticalAlignment','middle','HorizontalAlignment','Center','Rotation',270,'FontSize',25);
% $$$ % $$$ % $$$ xlim([0 6]);
% $$$ % $$$ % $$$ ylim([-0.8 0]);
% $$$ % $$$ % $$$ set(gca,'xtick',[]);
% $$$ % $$$ % $$$ set(gca,'ytick',[]);
% $$$ % $$$ % $$$ box off;
% $$$ % $$$ % $$$ grid off;
% $$$ % $$$ % $$$ axis off;
% $$$ % $$$ % $$$ title('Seasonal Range','FontSize',25);
% $$$ % $$$
%%% 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
%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
[xL,yL] = size(lon);
% $$$ if (length(FlM(:,1,1))>3000)
% $$$ xvec = 1:10:xL;
% $$$ yvec = 1:10:yL;
% $$$ elseif (length(FlM(:,1,1))>1000)
% $$$ xvec = 1:4:xL;
% $$$ yvec = 1:4:yL;
% $$$ else
xvec = 1:1:xL;
yvec = 1:1:yL;
% $$$ xvec = 1:1:xL;
% $$$ yvec = 1:1:yL;
% $$$ end
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'};
% $$$ months = {[1:12]}; labels = {'Annual'};
%Colormap and continents:
sp = 5;
clim = [-125 0];
cCH = 1; % 0 = symmetric redblue
% 1 = negative definite parula
% 2 = negative parula with +ve's possible
if (cCH==0)
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts);
cmap = redblue(npts-3);
for i=1:(npts-3)
if (cmap(i,:) == 1.0)
cmap(i,:) = [0.94 0.94 0.94];
end
end
elseif (cCH==1)
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts);
cmap = parula(npts-3);
cmap(end,:) = [0.97 0.97 0.8];
cmap(end-1,:) = (cmap(end-1,:)+cmap(end,:))/2;
else
buf = 1;
clim = [clim(1) (buf+1)*sp];
cpts = [-1e10 clim(1):sp:clim(2) 1e10];
npts = length(cpts);
cmap = parula(npts-3+(buf+1));
cmap(end+2,:) = [1 0.7 0.9];
cmap(end-(buf+1):end-1,:) = repmat([0.97 0.97 0.8],[buf+1 1]);
cmap(end-(buf+2),:) = (cmap(end-(buf+2),:)+cmap(end-(buf+1),:))/2;
% $$$ cmap(end-1,:) = (cmap(end,:)+cmap(end-1,:))/2;
end
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)];
doSEAS = 0; %Plot 6 plots 2-months apart for seasonality
if (doSEAS)
months = {1,3,5,7,9,11};
labels = {'(a) Jan', ...
'(b) Mar', ...
'(c) May', ...
'(d) Jul', ...
'(e) Sep', ...
'(f) Nov'};
months = {2,4,6,8,10,12};
labels = {'(a) Feb', ...
'(b) Apr', ...
'(c) Jun', ...
'(d) Aug', ...
'(e) Oct', ...
'(f) Dec'};
end
%Mean of all months:
figure;
set(gcf,'Position',[3 59 1916 914]);
set(gcf,'defaulttextfontsize',20);
set(gcf,'defaultaxesfontsize',20);
if (doSEAS)
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];
else
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];
end
i = 1;
% $$$ for i=1:length(months)
% $$$ if (doSEAS)
% $$$ subplot(3,2,i);
% $$$ else
% $$$ if (i == 1)
subplot(5,3,[1 9]);
% $$$ else
% $$$ subplot(5,3,[10 13]+(i-2));
% $$$ end
% $$$ end
% $$$ subplot_tight(2,1,rr);
% $$$ subplot_tight(2,1,1);
X = lon(xvec,yvec);
Y = lat(xvec,yvec);
if (length(months{i})>1)
tmp = FlM;
tmp(isnan(tmp)) = 0.0;
Z = monmean(tmp(:,:,months{i}),3,ndays(months{i}));
Z(Z == 0) = NaN;
else
Z = FlM(:,:,months{i});
end
Z = Z(xvec,yvec);
Z(Z<clim(1)) = clim(1);
contourf(X,Y,Z,cpts,'linestyle','none');
hold on;
contourf(X,Y,LAND(xvec,yvec),[clim(1)-sp clim(1)],'linestyle','none');
caxis(climn);
if (i==1)
cb = colorbar;
ylabel(cb,'Wm$^{-2}$');
ylim(cb,clim);
end
hold on;
% Plot regions:
% $$$ if (i==1)
if (exist('regions'))
xlims = get(gca,'xlim');
for ii=2:length(regions)
contour(lon,lat,regions{ii}{2},[0.5 0.5],'--','color',regions{ii}{3},'linewidth',1);
% $$$ contour(lon,lat,regions{ii}{2},[0.5 0.5],'--k','linewidth',1);
% Add text label with total:
flon = min(lon(regions{ii}{2}));
flat = nanmean(lat(regions{ii}{2}));
if (ii==2)
flat = 7;
elseif (flat>15)
flat = 42;
end
text(flon,flat,sprintf('%3.2fPW (%3.0f%%)',monmean(Field(:,ii),1,ndays(1:12))/1e15,monmean(Field(:,ii),1,ndays(1:12))/monmean(Field(:,1),1,ndays(1:12))*100),'color',regions{ii}{3},'Interpreter','none','BackgroundColor','w','Margin',0.01);
end
end
% $$$ end
% $$$ if (i>1)
xlabel('Longitude ($^\circ$E)');
% $$$ end
% $$$ if (i<=2)
ylabel('Latitude ($^\circ$N)');
% $$$ end
% $$$ if (i>1)
% $$$ text(77,37.5,labels{i},'BackgroundColor','w','Margin',0.5,'HorizontalAlignment','right');
% $$$ set(gca,'xtick',[-240:60:60]);