matlab_class/ecco_v4/cost_altimeter.m

function []=cost_altimeter(dirModel,dirMat);
%object:       compute or plot the various sea level statistics
%              (std model-obs, model, obs, leading to cost function terms)
%inputs:       dirModel is the model run directory
%              dirMat is the directory where diagnozed .mat files will be saved
%                     -> set it to '' to use the default [dirModel 'mat/']
%              doComp is the switch from computation to plot

doComp=1;
if doComp==1;
    doSave=1;
    doPlot=0;
else;
    doSave=0;
    doPlot=1;
end;
doPrint=0;

for doDifObsOrMod=1:3;
    
    if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end;
    
    %%%%%%%%%%%
    %load grid:
    %%%%%%%%%%%
    
    gcmfaces_global;
    if ~isfield(mygrid,'XC'); grid_load('./GRID/',5,'compact'); end;
    if ~isfield(mygrid,'LATS_MASKS'); gcmfaces_lines_zonal; end;
    
    %%%%%%%%%%%%%%%
    %define pathes:
    %%%%%%%%%%%%%%%
    
    dirSigma='/net/nares/raid11/ecco-shared/ecco-version-4/input/input_err/';
    %nameSigma={'sigma_MDT_glob_eccollc.bin','sigma_SLA_smooth_eccollc.bin','sigma_SLA_PWS07r2_glob_eccollc.bin'}; maxLatObs=66
    nameSigma={'sigma_MDT_glob_eccollc.bin','slaerr_largescale_r4.err','slaerr_gridscale_r4.err'}; maxLatObs=90
    
    if isempty(dirMat); dirMat=[dirModel 'mat/']; else; dirMat=[dirMat '/']; end;
    if isempty(dir(dirMat));     mkdir([dirMat]); end;
    if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end;
    runName=pwd; tmp1=strfind(runName,filesep); runName=runName(tmp1(end)+1:end);
    
    %%%%%%%%%%%%%%%%%
    %do computations:
    %%%%%%%%%%%%%%%%%
    
    if doComp==0;
        eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']);
    else;
        
        tic;
        %mdt cost function term (misfit plot)
        dif_mdt=rdmds2gcmfaces([dirModel 'barfiles/mdtdiff_smooth']);
        sig_mdt=read_bin([dirSigma nameSigma{1}],1,0);
        sig_mdt(find(sig_mdt==0))=NaN;
        %store:
        myflds.dif_mdt=dif_mdt;
        myflds.sig_mdt=sig_mdt;
        
        %skip blanks:
        tmp1=dir([dirModel 'barfiles/sladiff_smooth*data']);
        nrec=tmp1.bytes/90/1170/4;
        ttShift=17;
        %skip 1992
        listRecs=[1+365-ttShift:17+365*18-ttShift];
        nRecs=length(listRecs); TT=1993+[0:nRecs-1]/365.25;
        
        toc; tic;
        %pointwise/1day terms:
        sladiff_point=repmat(0*mygrid.RAC,[1 1 nRecs]); count_point=sladiff_point;
        for ii=1:3;
            if ii==1; myset='tp'; elseif ii==2; myset='gfo'; else; myset='ers'; end;
            %topex pointwise misfits:
            if doDifObsOrMod==1;
                sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
            elseif doDifObsOrMod==2;
                sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
            else;
                sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
                sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
            end;
            %add to overall data set:
            sladiff_point=sladiff_point+sladiff_tmp; count_point=count_point+(sladiff_tmp~=0);
            %finalize data set:
            sladiff_tmp(sladiff_tmp==0)=NaN;
            %compute rms:
            count_tmp=sum(~isnan(sladiff_tmp),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
            eval(['myflds.rms_' myset '=sqrt(nansum(sladiff_tmp.^2,3)./count_tmp);']);
            eval(['myflds.std_' myset '=nanstd(sladiff_tmp,0,3).*msk_tmp;']);
        end;
        %finalize overall data set:
        count_point(count_point==0)=NaN;
        sladiff_point=sladiff_point./count_point;
        %compute overall rms,std:
        count_tmp=sum(~isnan(sladiff_point),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
        myflds.rms_sladiff_point=sqrt(nansum(sladiff_point.^2,3)./count_tmp);
        myflds.std_sladiff_point=nanstd(sladiff_point,0,3).*msk_tmp;
        %
        msk_point=1*(count_point>0);
        %fill blanks:
        warning('off','MATLAB:divideByZero');
        msk=mygrid.mskC(:,:,1); msk(find(abs(mygrid.YC)>maxLatObs))=NaN;
        myflds.xtrp_rms_sladiff_point=diffsmooth2D_extrap_inv(myflds.rms_sladiff_point,msk);
        myflds.xtrp_std_sladiff_point=diffsmooth2D_extrap_inv(myflds.std_sladiff_point,msk);
        warning('on','MATLAB:divideByZero');
        %get weight:
        sig_sladiff_point=read_bin([dirSigma nameSigma{3}],1,0);
        sig_sladiff_point(find(sig_sladiff_point==0))=NaN;
        myflds.sig_sladiff_point=sig_sladiff_point;
        
        %computational mask : only points that were actually observed, and in 35d average
        msk_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
        msk_point35d=1*(msk_point35d~=0);
        tmp1=sum(msk_point35d==0&msk_point~=0);
        tmp2=sum(msk_point35d~=0&msk_point~=0);
        fprintf('after masking : %d omitted, %d retained \n',tmp1,tmp2);
        msk_point=msk_point.*msk_point35d;
        msk_point(msk_point==0)=NaN;
        %plotting mask : regions of less than 100 observations are omitted
        msk_100pts=1*(nansum(msk_point,3)>=100);
        msk_100pts(msk_100pts==0)=NaN;
        %store
        myflds.msk_100pts=msk_100pts;
        
        toc; tic;
        %lsc cost function term:
        if doDifObsOrMod==1;
            sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
        elseif doDifObsOrMod==2;
            sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
        else;
            sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
            sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
        end;
        %mask missing points:
        sladiff_smooth(sladiff_smooth==0)=NaN;
        sladiff_smooth=sladiff_smooth.*msk_point;
        count_tmp=sum(~isnan(sladiff_smooth),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
        %compute rms:
        rms_sladiff_smooth=msk_tmp.*sqrt(nanmean(sladiff_smooth.^2,3));
        std_sladiff_smooth=msk_tmp.*nanstd(sladiff_smooth,0,3);
        %get weight:
        sig_sladiff_smooth=read_bin([dirSigma nameSigma{2}],1,0);
        sig_sladiff_smooth(find(sig_sladiff_smooth==0))=NaN;
        %store:
        myflds.rms_sladiff_smooth=rms_sladiff_smooth;
        myflds.std_sladiff_smooth=std_sladiff_smooth;
        myflds.sig_sladiff_smooth=sig_sladiff_smooth;
        
        toc; tic;
        %pointwise/point35days cost function term:
        if doDifObsOrMod==1;
            sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
        elseif doDifObsOrMod==2;
            sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
        else;
            sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
            sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
        end;
        %mask missing points:
        sladiff_point35d(sladiff_point35d==0)=NaN;
        sladiff_point35d=sladiff_point35d.*msk_point;
        count_tmp=sum(~isnan(sladiff_point35d),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
        %compute rms:
        rms_sladiff_point35d=msk_tmp.*sqrt(nanmean(sladiff_point35d.^2,3));
        std_sladiff_point35d=msk_tmp.*nanstd(sladiff_point35d,0,3);
        %store:
        myflds.rms_sladiff_point35d=rms_sladiff_point35d;
        myflds.std_sladiff_point35d=std_sladiff_point35d;
        
        if 0;
            %difference between scales
            rms_sladiff_35dMsmooth=msk_tmp.*sqrt(nanmean((sladiff_point35d-sladiff_smooth).^2,3));
            std_sladiff_35dMsmooth=msk_tmp.*nanstd((sladiff_point35d-sladiff_smooth),0,3);
            %store:
            myflds.rms_sladiff_35dMsmooth=rms_sladiff_35dMsmooth;
            myflds.std_sladiff_35dMsmooth=std_sladiff_35dMsmooth;

            %difference between scales
            rms_sladiff_pointMpoint35d=msk_tmp.*sqrt(nanmean((sladiff_point-sladiff_point35d).^2,3));
            std_sladiff_pointMpoint35d=msk_tmp.*nanstd((sladiff_point-sladiff_point35d),0,3);
            %store:
            myflds.rms_sladiff_pointMpoint35d=rms_sladiff_pointMpoint35d;
            myflds.std_sladiff_pointMpoint35d=std_sladiff_pointMpoint35d;
        end;
        
        %compute zonal mean/median:
        for ii=1:4;
            switch ii;
                case 1; tmp1='mdt'; cost_fld=(mygrid.mskC(:,:,1).*myflds.dif_mdt./myflds.sig_mdt).^2;
                case 2; tmp1='lsc'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_smooth./myflds.sig_sladiff_smooth).^2;
                case 3; tmp1='point35d'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point35d./myflds.sig_sladiff_point).^2;
                case 4; tmp1='point'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point./myflds.sig_sladiff_point).^2;
            end;
            cost_zmean=calc_zonmean_T(cost_fld); eval(['mycosts_mean.' tmp1 '=cost_zmean;']);
            cost_zmedian=calc_zonmedian_T(cost_fld); eval(['mycosts_median.' tmp1 '=cost_zmedian;']);
        end;
        
        toc; %write to disk:
        if doSave; eval(['save ' dirMat 'cost/cost_altimeter_' suf '.mat myflds mycosts_mean mycosts_median;']); end;
        
    end;%if doComp
    
    if doPlot;
        cc=[-0.4:0.05:-0.25 -0.2:0.03:-0.05 -0.03:0.01:0.03 0.05:0.03:0.2 0.25:0.05:0.4];
        figure; m_map_gcmfaces(myflds.dif_mdt,0,{'myCaxis',cc}); drawnow;
        cc=[0:0.005:0.02 0.03:0.01:0.05 0.06:0.02:0.1 0.14:0.03:0.2 0.25:0.05:0.4];
        figure; m_map_gcmfaces(myflds.rms_sladiff_smooth,0,{'myCaxis',cc}); drawnow;
        figure; m_map_gcmfaces(myflds.rms_sladiff_point35d,0,{'myCaxis',cc}); drawnow;
        figure; m_map_gcmfaces(myflds.rms_sladiff_point,0,{'myCaxis',cc}); drawnow;
    end;
    
    if doPlot&doPrint;
        dirFig='../figs/altimeter/'; ff0=gcf-4;
        for ff=1:4;
            figure(ff+ff0); saveas(gcf,[dirFig runName '_' suf num2str(ff)],'fig');
            eval(['print -depsc ' dirFig runName '_' suf num2str(ff) '.eps;']);
            eval(['print -djpeg90 ' dirFig runName '_' suf num2str(ff) '.jpg;']);
        end;
    end;
    
end;%for doDifObsOrMod=1:3;


function [fldOut]=cost_altimeter_read(fileIn,recIn);

nrec=length(recIn);
global mygrid; siz=[size(convert2gcmfaces(mygrid.XC)) nrec];
lrec=siz(1)*siz(2)*4;
myprec='float32';

fldOut=zeros(siz);
fid=fopen([fileIn '.data'],'r','b');
for irec=1:nrec;
    status=fseek(fid,(recIn(irec)-1)*lrec,'bof');
    fldOut(:,:,irec)=fread(fid,siz(1:2),myprec);
end;

fldOut=convert2gcmfaces(fldOut);


1	gforget	1.7	function []=cost_altimeter(dirModel,dirMat);
2			%object: compute or plot the various sea level statistics
3			% (std model-obs, model, obs, leading to cost function terms)
4			%inputs: dirModel is the model run directory
5			% dirMat is the directory where diagnozed .mat files will be saved
6			% -> set it to '' to use the default [dirModel 'mat/']
7			% doComp is the switch from computation to plot
8	gforget	1.13
9	gforget	1.4	doComp=1;
10			if doComp==1;
11	gforget	1.11	doSave=1;
12			doPlot=0;
13	gforget	1.4	else;
14	gforget	1.11	doSave=0;
15			doPlot=1;
16	gforget	1.4	end;
17			doPrint=0;
18
19			for doDifObsOrMod=1:3;
20	gforget	1.11
21			if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end;
22
23			%%%%%%%%%%%
24			%load grid:
25			%%%%%%%%%%%
26
27			gcmfaces_global;
28			if ~isfield(mygrid,'XC'); grid_load('./GRID/',5,'compact'); end;
29			if ~isfield(mygrid,'LATS_MASKS'); gcmfaces_lines_zonal; end;
30
31			%%%%%%%%%%%%%%%
32			%define pathes:
33			%%%%%%%%%%%%%%%
34
35			dirSigma='/net/nares/raid11/ecco-shared/ecco-version-4/input/input_err/';
36			%nameSigma={'sigma_MDT_glob_eccollc.bin','sigma_SLA_smooth_eccollc.bin','sigma_SLA_PWS07r2_glob_eccollc.bin'}; maxLatObs=66
37			nameSigma={'sigma_MDT_glob_eccollc.bin','slaerr_largescale_r4.err','slaerr_gridscale_r4.err'}; maxLatObs=90
38
39			if isempty(dirMat); dirMat=[dirModel 'mat/']; else; dirMat=[dirMat '/']; end;
40	gforget	1.13	if isempty(dir(dirMat)); mkdir([dirMat]); end;
41	gforget	1.11	if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end;
42	gforget	1.13	runName=pwd; tmp1=strfind(runName,filesep); runName=runName(tmp1(end)+1:end);
43	gforget	1.11
44			%%%%%%%%%%%%%%%%%
45			%do computations:
46			%%%%%%%%%%%%%%%%%
47
48			if doComp==0;
49			eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']);
50			else;
51
52			tic;
53			%mdt cost function term (misfit plot)
54			dif_mdt=rdmds2gcmfaces([dirModel 'barfiles/mdtdiff_smooth']);
55	gforget	1.12	sig_mdt=read_bin([dirSigma nameSigma{1}],1,0);
56	gforget	1.11	sig_mdt(find(sig_mdt==0))=NaN;
57			%store:
58			myflds.dif_mdt=dif_mdt;
59			myflds.sig_mdt=sig_mdt;
60
61			%skip blanks:
62			tmp1=dir([dirModel 'barfiles/sladiff_smooth*data']);
63			nrec=tmp1.bytes/90/1170/4;
64			ttShift=17;
65			%skip 1992
66			listRecs=[1+365-ttShift:17+365*18-ttShift];
67			nRecs=length(listRecs); TT=1993+[0:nRecs-1]/365.25;
68
69			toc; tic;
70			%pointwise/1day terms:
71			sladiff_point=repmat(0*mygrid.RAC,[1 1 nRecs]); count_point=sladiff_point;
72			for ii=1:3;
73			if ii==1; myset='tp'; elseif ii==2; myset='gfo'; else; myset='ers'; end;
74			%topex pointwise misfits:
75			if doDifObsOrMod==1;
76			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
77			elseif doDifObsOrMod==2;
78			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
79			else;
80			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
81			sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
82			end;
83			%add to overall data set:
84			sladiff_point=sladiff_point+sladiff_tmp; count_point=count_point+(sladiff_tmp~=0);
85			%finalize data set:
86			sladiff_tmp(sladiff_tmp==0)=NaN;
87			%compute rms:
88			count_tmp=sum(~isnan(sladiff_tmp),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
89			eval(['myflds.rms_' myset '=sqrt(nansum(sladiff_tmp.^2,3)./count_tmp);']);
90			eval(['myflds.std_' myset '=nanstd(sladiff_tmp,0,3).*msk_tmp;']);
91			end;
92			%finalize overall data set:
93			count_point(count_point==0)=NaN;
94			sladiff_point=sladiff_point./count_point;
95			%compute overall rms,std:
96			count_tmp=sum(~isnan(sladiff_point),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
97			myflds.rms_sladiff_point=sqrt(nansum(sladiff_point.^2,3)./count_tmp);
98			myflds.std_sladiff_point=nanstd(sladiff_point,0,3).*msk_tmp;
99			%
100			msk_point=1*(count_point>0);
101			%fill blanks:
102			warning('off','MATLAB:divideByZero');
103			msk=mygrid.mskC(:,:,1); msk(find(abs(mygrid.YC)>maxLatObs))=NaN;
104			myflds.xtrp_rms_sladiff_point=diffsmooth2D_extrap_inv(myflds.rms_sladiff_point,msk);
105			myflds.xtrp_std_sladiff_point=diffsmooth2D_extrap_inv(myflds.std_sladiff_point,msk);
106			warning('on','MATLAB:divideByZero');
107			%get weight:
108	gforget	1.12	sig_sladiff_point=read_bin([dirSigma nameSigma{3}],1,0);
109	gforget	1.11	sig_sladiff_point(find(sig_sladiff_point==0))=NaN;
110			myflds.sig_sladiff_point=sig_sladiff_point;
111
112			%computational mask : only points that were actually observed, and in 35d average
113			msk_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
114			msk_point35d=1*(msk_point35d~=0);
115			tmp1=sum(msk_point35d==0&msk_point~=0);
116			tmp2=sum(msk_point35d~=0&msk_point~=0);
117			fprintf('after masking : %d omitted, %d retained \n',tmp1,tmp2);
118			msk_point=msk_point.*msk_point35d;
119			msk_point(msk_point==0)=NaN;
120			%plotting mask : regions of less than 100 observations are omitted
121			msk_100pts=1*(nansum(msk_point,3)>=100);
122			msk_100pts(msk_100pts==0)=NaN;
123			%store
124			myflds.msk_100pts=msk_100pts;
125
126			toc; tic;
127			%lsc cost function term:
128			if doDifObsOrMod==1;
129			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
130			elseif doDifObsOrMod==2;
131			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
132			else;
133			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
134			sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
135			end;
136			%mask missing points:
137			sladiff_smooth(sladiff_smooth==0)=NaN;
138			sladiff_smooth=sladiff_smooth.*msk_point;
139			count_tmp=sum(~isnan(sladiff_smooth),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
140			%compute rms:
141			rms_sladiff_smooth=msk_tmp.*sqrt(nanmean(sladiff_smooth.^2,3));
142			std_sladiff_smooth=msk_tmp.*nanstd(sladiff_smooth,0,3);
143			%get weight:
144	gforget	1.12	sig_sladiff_smooth=read_bin([dirSigma nameSigma{2}],1,0);
145	gforget	1.11	sig_sladiff_smooth(find(sig_sladiff_smooth==0))=NaN;
146			%store:
147			myflds.rms_sladiff_smooth=rms_sladiff_smooth;
148			myflds.std_sladiff_smooth=std_sladiff_smooth;
149			myflds.sig_sladiff_smooth=sig_sladiff_smooth;
150
151			toc; tic;
152			%pointwise/point35days cost function term:
153			if doDifObsOrMod==1;
154			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
155			elseif doDifObsOrMod==2;
156			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
157			else;
158			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
159			sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
160			end;
161			%mask missing points:
162			sladiff_point35d(sladiff_point35d==0)=NaN;
163			sladiff_point35d=sladiff_point35d.*msk_point;
164			count_tmp=sum(~isnan(sladiff_point35d),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
165			%compute rms:
166			rms_sladiff_point35d=msk_tmp.*sqrt(nanmean(sladiff_point35d.^2,3));
167			std_sladiff_point35d=msk_tmp.*nanstd(sladiff_point35d,0,3);
168			%store:
169			myflds.rms_sladiff_point35d=rms_sladiff_point35d;
170			myflds.std_sladiff_point35d=std_sladiff_point35d;
171
172			if 0;
173			%difference between scales
174			rms_sladiff_35dMsmooth=msk_tmp.*sqrt(nanmean((sladiff_point35d-sladiff_smooth).^2,3));
175			std_sladiff_35dMsmooth=msk_tmp.*nanstd((sladiff_point35d-sladiff_smooth),0,3);
176			%store:
177			myflds.rms_sladiff_35dMsmooth=rms_sladiff_35dMsmooth;
178			myflds.std_sladiff_35dMsmooth=std_sladiff_35dMsmooth;
179
180			%difference between scales
181			rms_sladiff_pointMpoint35d=msk_tmp.*sqrt(nanmean((sladiff_point-sladiff_point35d).^2,3));
182			std_sladiff_pointMpoint35d=msk_tmp.*nanstd((sladiff_point-sladiff_point35d),0,3);
183			%store:
184			myflds.rms_sladiff_pointMpoint35d=rms_sladiff_pointMpoint35d;
185			myflds.std_sladiff_pointMpoint35d=std_sladiff_pointMpoint35d;
186			end;
187
188			%compute zonal mean/median:
189			for ii=1:4;
190			switch ii;
191			case 1; tmp1='mdt'; cost_fld=(mygrid.mskC(:,:,1).*myflds.dif_mdt./myflds.sig_mdt).^2;
192			case 2; tmp1='lsc'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_smooth./myflds.sig_sladiff_smooth).^2;
193			case 3; tmp1='point35d'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point35d./myflds.sig_sladiff_point).^2;
194			case 4; tmp1='point'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point./myflds.sig_sladiff_point).^2;
195			end;
196			cost_zmean=calc_zonmean_T(cost_fld); eval(['mycosts_mean.' tmp1 '=cost_zmean;']);
197			cost_zmedian=calc_zonmedian_T(cost_fld); eval(['mycosts_median.' tmp1 '=cost_zmedian;']);
198			end;
199
200			toc; %write to disk:
201			if doSave; eval(['save ' dirMat 'cost/cost_altimeter_' suf '.mat myflds mycosts_mean mycosts_median;']); end;
202
203			end;%if doComp
204
205			if doPlot;
206			cc=[-0.4:0.05:-0.25 -0.2:0.03:-0.05 -0.03:0.01:0.03 0.05:0.03:0.2 0.25:0.05:0.4];
207			figure; m_map_gcmfaces(myflds.dif_mdt,0,{'myCaxis',cc}); drawnow;
208			cc=[0:0.005:0.02 0.03:0.01:0.05 0.06:0.02:0.1 0.14:0.03:0.2 0.25:0.05:0.4];
209			figure; m_map_gcmfaces(myflds.rms_sladiff_smooth,0,{'myCaxis',cc}); drawnow;
210			figure; m_map_gcmfaces(myflds.rms_sladiff_point35d,0,{'myCaxis',cc}); drawnow;
211			figure; m_map_gcmfaces(myflds.rms_sladiff_point,0,{'myCaxis',cc}); drawnow;
212			end;
213
214			if doPlot&doPrint;
215			dirFig='../figs/altimeter/'; ff0=gcf-4;
216			for ff=1:4;
217			figure(ff+ff0); saveas(gcf,[dirFig runName '_' suf num2str(ff)],'fig');
218			eval(['print -depsc ' dirFig runName '_' suf num2str(ff) '.eps;']);
219			eval(['print -djpeg90 ' dirFig runName '_' suf num2str(ff) '.jpg;']);
220			end;
221			end;
222
223	gforget	1.4	end;%for doDifObsOrMod=1:3;
224
225
226
227			function [fldOut]=cost_altimeter_read(fileIn,recIn);
228
229			nrec=length(recIn);
230			global mygrid; siz=[size(convert2gcmfaces(mygrid.XC)) nrec];
231			lrec=siz(1)siz(2)4;
232			myprec='float32';
233
234			fldOut=zeros(siz);
235			fid=fopen([fileIn '.data'],'r','b');
236			for irec=1:nrec;
237	gforget	1.11	status=fseek(fid,(recIn(irec)-1)*lrec,'bof');
238			fldOut(:,:,irec)=fread(fid,siz(1:2),myprec);
239	gforget	1.4	end;
240
241			fldOut=convert2gcmfaces(fldOut);
242
243
244