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)); eval(['!mkdir ' dirMat ';']); end;
    if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end;
    runName=pwd; tmp1=strfind(runName,'/'); 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=v4_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=v4_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=v4_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	1.4	doComp=1;
9			if doComp==1;
10	gforget	1.11	doSave=1;
11			doPlot=0;
12	gforget	1.4	else;
13	gforget	1.11	doSave=0;
14			doPlot=1;
15	gforget	1.4	end;
16			doPrint=0;
17
18			for doDifObsOrMod=1:3;
19	gforget	1.11
20			if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end;
21
22			%%%%%%%%%%%
23			%load grid:
24			%%%%%%%%%%%
25
26			gcmfaces_global;
27			if ~isfield(mygrid,'XC'); grid_load('./GRID/',5,'compact'); end;
28			if ~isfield(mygrid,'LATS_MASKS'); gcmfaces_lines_zonal; end;
29
30			%%%%%%%%%%%%%%%
31			%define pathes:
32			%%%%%%%%%%%%%%%
33
34			dirSigma='/net/nares/raid11/ecco-shared/ecco-version-4/input/input_err/';
35			%nameSigma={'sigma_MDT_glob_eccollc.bin','sigma_SLA_smooth_eccollc.bin','sigma_SLA_PWS07r2_glob_eccollc.bin'}; maxLatObs=66
36			nameSigma={'sigma_MDT_glob_eccollc.bin','slaerr_largescale_r4.err','slaerr_gridscale_r4.err'}; maxLatObs=90
37
38			if isempty(dirMat); dirMat=[dirModel 'mat/']; else; dirMat=[dirMat '/']; end;
39			if isempty(dir(dirMat)); eval(['!mkdir ' dirMat ';']); end;
40			if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end;
41			runName=pwd; tmp1=strfind(runName,'/'); runName=runName(tmp1(end)+1:end);
42
43			%%%%%%%%%%%%%%%%%
44			%do computations:
45			%%%%%%%%%%%%%%%%%
46
47			if doComp==0;
48			eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']);
49			else;
50
51			tic;
52			%mdt cost function term (misfit plot)
53			dif_mdt=rdmds2gcmfaces([dirModel 'barfiles/mdtdiff_smooth']);
54			sig_mdt=v4_read_bin([dirSigma nameSigma{1}],1,0);
55			sig_mdt(find(sig_mdt==0))=NaN;
56			%store:
57			myflds.dif_mdt=dif_mdt;
58			myflds.sig_mdt=sig_mdt;
59
60			%skip blanks:
61			tmp1=dir([dirModel 'barfiles/sladiff_smooth*data']);
62			nrec=tmp1.bytes/90/1170/4;
63			ttShift=17;
64			%skip 1992
65			listRecs=[1+365-ttShift:17+365*18-ttShift];
66			nRecs=length(listRecs); TT=1993+[0:nRecs-1]/365.25;
67
68			toc; tic;
69			%pointwise/1day terms:
70			sladiff_point=repmat(0*mygrid.RAC,[1 1 nRecs]); count_point=sladiff_point;
71			for ii=1:3;
72			if ii==1; myset='tp'; elseif ii==2; myset='gfo'; else; myset='ers'; end;
73			%topex pointwise misfits:
74			if doDifObsOrMod==1;
75			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
76			elseif doDifObsOrMod==2;
77			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
78			else;
79			sladiff_tmp=cost_altimeter_read([dirModel 'barfiles/sladiff_' myset '_raw'],ttShift+listRecs);
80			sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirModel 'barfiles/slaobs_' myset '_raw'],ttShift+listRecs);
81			end;
82			%add to overall data set:
83			sladiff_point=sladiff_point+sladiff_tmp; count_point=count_point+(sladiff_tmp~=0);
84			%finalize data set:
85			sladiff_tmp(sladiff_tmp==0)=NaN;
86			%compute rms:
87			count_tmp=sum(~isnan(sladiff_tmp),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
88			eval(['myflds.rms_' myset '=sqrt(nansum(sladiff_tmp.^2,3)./count_tmp);']);
89			eval(['myflds.std_' myset '=nanstd(sladiff_tmp,0,3).*msk_tmp;']);
90			end;
91			%finalize overall data set:
92			count_point(count_point==0)=NaN;
93			sladiff_point=sladiff_point./count_point;
94			%compute overall rms,std:
95			count_tmp=sum(~isnan(sladiff_point),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
96			myflds.rms_sladiff_point=sqrt(nansum(sladiff_point.^2,3)./count_tmp);
97			myflds.std_sladiff_point=nanstd(sladiff_point,0,3).*msk_tmp;
98			%
99			msk_point=1*(count_point>0);
100			%fill blanks:
101			warning('off','MATLAB:divideByZero');
102			msk=mygrid.mskC(:,:,1); msk(find(abs(mygrid.YC)>maxLatObs))=NaN;
103			myflds.xtrp_rms_sladiff_point=diffsmooth2D_extrap_inv(myflds.rms_sladiff_point,msk);
104			myflds.xtrp_std_sladiff_point=diffsmooth2D_extrap_inv(myflds.std_sladiff_point,msk);
105			warning('on','MATLAB:divideByZero');
106			%get weight:
107			sig_sladiff_point=v4_read_bin([dirSigma nameSigma{3}],1,0);
108			sig_sladiff_point(find(sig_sladiff_point==0))=NaN;
109			myflds.sig_sladiff_point=sig_sladiff_point;
110
111			%computational mask : only points that were actually observed, and in 35d average
112			msk_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
113			msk_point35d=1*(msk_point35d~=0);
114			tmp1=sum(msk_point35d==0&msk_point~=0);
115			tmp2=sum(msk_point35d~=0&msk_point~=0);
116			fprintf('after masking : %d omitted, %d retained \n',tmp1,tmp2);
117			msk_point=msk_point.*msk_point35d;
118			msk_point(msk_point==0)=NaN;
119			%plotting mask : regions of less than 100 observations are omitted
120			msk_100pts=1*(nansum(msk_point,3)>=100);
121			msk_100pts(msk_100pts==0)=NaN;
122			%store
123			myflds.msk_100pts=msk_100pts;
124
125			toc; tic;
126			%lsc cost function term:
127			if doDifObsOrMod==1;
128			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
129			elseif doDifObsOrMod==2;
130			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
131			else;
132			sladiff_smooth=cost_altimeter_read([dirModel 'barfiles/sladiff_smooth'],listRecs);
133			sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirModel 'barfiles/slaobs_smooth'],listRecs);
134			end;
135			%mask missing points:
136			sladiff_smooth(sladiff_smooth==0)=NaN;
137			sladiff_smooth=sladiff_smooth.*msk_point;
138			count_tmp=sum(~isnan(sladiff_smooth),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
139			%compute rms:
140			rms_sladiff_smooth=msk_tmp.*sqrt(nanmean(sladiff_smooth.^2,3));
141			std_sladiff_smooth=msk_tmp.*nanstd(sladiff_smooth,0,3);
142			%get weight:
143			sig_sladiff_smooth=v4_read_bin([dirSigma nameSigma{2}],1,0);
144			sig_sladiff_smooth(find(sig_sladiff_smooth==0))=NaN;
145			%store:
146			myflds.rms_sladiff_smooth=rms_sladiff_smooth;
147			myflds.std_sladiff_smooth=std_sladiff_smooth;
148			myflds.sig_sladiff_smooth=sig_sladiff_smooth;
149
150			toc; tic;
151			%pointwise/point35days cost function term:
152			if doDifObsOrMod==1;
153			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
154			elseif doDifObsOrMod==2;
155			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
156			else;
157			sladiff_point35d=cost_altimeter_read([dirModel 'barfiles/sladiff_raw'],listRecs);
158			sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirModel 'barfiles/slaobs_raw'],listRecs);
159			end;
160			%mask missing points:
161			sladiff_point35d(sladiff_point35d==0)=NaN;
162			sladiff_point35d=sladiff_point35d.*msk_point;
163			count_tmp=sum(~isnan(sladiff_point35d),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
164			%compute rms:
165			rms_sladiff_point35d=msk_tmp.*sqrt(nanmean(sladiff_point35d.^2,3));
166			std_sladiff_point35d=msk_tmp.*nanstd(sladiff_point35d,0,3);
167			%store:
168			myflds.rms_sladiff_point35d=rms_sladiff_point35d;
169			myflds.std_sladiff_point35d=std_sladiff_point35d;
170
171			if 0;
172			%difference between scales
173			rms_sladiff_35dMsmooth=msk_tmp.*sqrt(nanmean((sladiff_point35d-sladiff_smooth).^2,3));
174			std_sladiff_35dMsmooth=msk_tmp.*nanstd((sladiff_point35d-sladiff_smooth),0,3);
175			%store:
176			myflds.rms_sladiff_35dMsmooth=rms_sladiff_35dMsmooth;
177			myflds.std_sladiff_35dMsmooth=std_sladiff_35dMsmooth;
178
179			%difference between scales
180			rms_sladiff_pointMpoint35d=msk_tmp.*sqrt(nanmean((sladiff_point-sladiff_point35d).^2,3));
181			std_sladiff_pointMpoint35d=msk_tmp.*nanstd((sladiff_point-sladiff_point35d),0,3);
182			%store:
183			myflds.rms_sladiff_pointMpoint35d=rms_sladiff_pointMpoint35d;
184			myflds.std_sladiff_pointMpoint35d=std_sladiff_pointMpoint35d;
185			end;
186
187			%compute zonal mean/median:
188			for ii=1:4;
189			switch ii;
190			case 1; tmp1='mdt'; cost_fld=(mygrid.mskC(:,:,1).*myflds.dif_mdt./myflds.sig_mdt).^2;
191			case 2; tmp1='lsc'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_smooth./myflds.sig_sladiff_smooth).^2;
192			case 3; tmp1='point35d'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point35d./myflds.sig_sladiff_point).^2;
193			case 4; tmp1='point'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point./myflds.sig_sladiff_point).^2;
194			end;
195			cost_zmean=calc_zonmean_T(cost_fld); eval(['mycosts_mean.' tmp1 '=cost_zmean;']);
196			cost_zmedian=calc_zonmedian_T(cost_fld); eval(['mycosts_median.' tmp1 '=cost_zmedian;']);
197			end;
198
199			toc; %write to disk:
200			if doSave; eval(['save ' dirMat 'cost/cost_altimeter_' suf '.mat myflds mycosts_mean mycosts_median;']); end;
201
202			end;%if doComp
203
204			if doPlot;
205			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];
206			figure; m_map_gcmfaces(myflds.dif_mdt,0,{'myCaxis',cc}); drawnow;
207			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];
208			figure; m_map_gcmfaces(myflds.rms_sladiff_smooth,0,{'myCaxis',cc}); drawnow;
209			figure; m_map_gcmfaces(myflds.rms_sladiff_point35d,0,{'myCaxis',cc}); drawnow;
210			figure; m_map_gcmfaces(myflds.rms_sladiff_point,0,{'myCaxis',cc}); drawnow;
211			end;
212
213			if doPlot&doPrint;
214			dirFig='../figs/altimeter/'; ff0=gcf-4;
215			for ff=1:4;
216			figure(ff+ff0); saveas(gcf,[dirFig runName '_' suf num2str(ff)],'fig');
217			eval(['print -depsc ' dirFig runName '_' suf num2str(ff) '.eps;']);
218			eval(['print -djpeg90 ' dirFig runName '_' suf num2str(ff) '.jpg;']);
219			end;
220			end;
221
222	gforget	1.4	end;%for doDifObsOrMod=1:3;
223
224
225
226			function [fldOut]=cost_altimeter_read(fileIn,recIn);
227
228			nrec=length(recIn);
229			global mygrid; siz=[size(convert2gcmfaces(mygrid.XC)) nrec];
230			lrec=siz(1)siz(2)4;
231			myprec='float32';
232
233			fldOut=zeros(siz);
234			fid=fopen([fileIn '.data'],'r','b');
235			for irec=1:nrec;
236	gforget	1.11	status=fseek(fid,(recIn(irec)-1)*lrec,'bof');
237			fldOut(:,:,irec)=fread(fid,siz(1:2),myprec);
238	gforget	1.4	end;
239
240			fldOut=convert2gcmfaces(fldOut);
241
242
243