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;

%%%%%%%%%%%
%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:
%%%%%%%%%%%%%%%

if ~isempty(dir([dirModel 'sigma_MDT_glob_eccollc.bin']));
  dirSigma=dirModel;
else;
  dirSigma='/net/nares/raid11/ecco-shared/ecco-version-4/input/input_err/';
end;

if isempty(dir([dirModel 'barfiles']));
  dirEcco=dirModel;
else;
  dirEcco=[dirModel 'barfiles' filesep];
end;

%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);


%%%%%%%%%%%%%%%%%
%global means:
%%%%%%%%%%%%%%%%%

tmpName=dir([dirEcco 'm_eta_day*data']);
avisoName=which('MSL_aviso.bin');
if length(tmpName)==1&~isempty(avisoName);
  m_eta_day=rdmds2gcmfaces([dirEcco tmpName.name(1:end-5)]);
  avisoName=which('MSL_aviso.bin');
  etaglo_aviso=read2memory(avisoName)';
  %global mean
  nt=size(m_eta_day{1},3); etaglo=NaN*zeros(1,nt);
  area=mygrid.mskC(:,:,1).*mygrid.RAC; areatot=nansum(area);
  for tt=1:nt;
    etaglo(tt)=nansum(area.*m_eta_day(:,:,tt))/areatot;
  end;
  %monthly mean
  etaglo_mon=NaN*zeros(1,240);
  etaglo_aviso_mon=NaN*zeros(1,240);
  etadate=datenum([1992 1 1 12 0 0])+[1:nt]-1;
  for mm=1:240;
    t0=datenum([1992 1+(mm-1) 1 0 0 0]);
    t1=datenum([1992 1+mm 1 0 0 0]);
    tt=find(etadate>t0&etadate<t1);
    etaglo_mon(mm)=mean(etaglo(tt));
    etaglo_aviso_mon(mm)=mean(etaglo_aviso(tt));
  end;
  %
  if doSave; eval(['save ' dirMat 'cost/cost_altimeter_etaglo.mat etaglo*;']); end;
end;

%%%%%%%%%%%%%%%%%
%do computations:
%%%%%%%%%%%%%%%%%

for doDifObsOrMod=1:3;

    if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end;
    
    if doComp==0;
        eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']);
    else;
        
        tic;
        %mdt cost function term (misfit plot)
        dif_mdt=rdmds2gcmfaces([dirEcco '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([dirEcco '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([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs);
            elseif doDifObsOrMod==2;
                sladiff_tmp=cost_altimeter_read([dirEcco 'slaobs_' myset '_raw'],ttShift+listRecs);
            else;
                sladiff_tmp=cost_altimeter_read([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs);
                sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirEcco '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([dirEcco '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([dirEcco 'sladiff_smooth'],listRecs);
        elseif doDifObsOrMod==2;
            sladiff_smooth=cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs);
        else;
            sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs);
            sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirEcco '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([dirEcco 'sladiff_raw'],listRecs);
        elseif doDifObsOrMod==2;
            sladiff_point35d=cost_altimeter_read([dirEcco 'slaobs_raw'],listRecs);
        else;
            sladiff_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs);
            sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirEcco '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	gforget	1.14	%%%%%%%%%%%
20			%load grid:
21			%%%%%%%%%%%
22
23			gcmfaces_global;
24			if ~isfield(mygrid,'XC'); grid_load('./GRID/',5,'compact'); end;
25			if ~isfield(mygrid,'LATS_MASKS'); gcmfaces_lines_zonal; end;
26
27			%%%%%%%%%%%%%%%
28			%define pathes:
29			%%%%%%%%%%%%%%%
30
31			if ~isempty(dir([dirModel 'sigma_MDT_glob_eccollc.bin']));
32			dirSigma=dirModel;
33			else;
34			dirSigma='/net/nares/raid11/ecco-shared/ecco-version-4/input/input_err/';
35			end;
36
37			if isempty(dir([dirModel 'barfiles']));
38			dirEcco=dirModel;
39			else;
40			dirEcco=[dirModel 'barfiles' filesep];
41			end;
42
43			%nameSigma={'sigma_MDT_glob_eccollc.bin','sigma_SLA_smooth_eccollc.bin','sigma_SLA_PWS07r2_glob_eccollc.bin'}; maxLatObs=66
44			nameSigma={'sigma_MDT_glob_eccollc.bin','slaerr_largescale_r4.err','slaerr_gridscale_r4.err'}; maxLatObs=90
45
46			if isempty(dirMat); dirMat=[dirModel 'mat/']; else; dirMat=[dirMat '/']; end;
47			if isempty(dir(dirMat)); mkdir([dirMat]); end;
48			if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end;
49			runName=pwd; tmp1=strfind(runName,filesep); runName=runName(tmp1(end)+1:end);
50
51	gforget	1.15
52			%%%%%%%%%%%%%%%%%
53			%global means:
54			%%%%%%%%%%%%%%%%%
55
56			tmpName=dir([dirEcco 'm_eta_day*data']);
57			avisoName=which('MSL_aviso.bin');
58			if length(tmpName)==1&~isempty(avisoName);
59			m_eta_day=rdmds2gcmfaces([dirEcco tmpName.name(1:end-5)]);
60			avisoName=which('MSL_aviso.bin');
61			etaglo_aviso=read2memory(avisoName)';
62			%global mean
63			nt=size(m_eta_day{1},3); etaglo=NaN*zeros(1,nt);
64			area=mygrid.mskC(:,:,1).*mygrid.RAC; areatot=nansum(area);
65			for tt=1:nt;
66			etaglo(tt)=nansum(area.*m_eta_day(:,:,tt))/areatot;
67			end;
68			%monthly mean
69			etaglo_mon=NaN*zeros(1,240);
70			etaglo_aviso_mon=NaN*zeros(1,240);
71			etadate=datenum([1992 1 1 12 0 0])+[1:nt]-1;
72			for mm=1:240;
73			t0=datenum([1992 1+(mm-1) 1 0 0 0]);
74			t1=datenum([1992 1+mm 1 0 0 0]);
75			tt=find(etadate>t0&etadate<t1);
76			etaglo_mon(mm)=mean(etaglo(tt));
77			etaglo_aviso_mon(mm)=mean(etaglo_aviso(tt));
78			end;
79			%
80			if doSave; eval(['save ' dirMat 'cost/cost_altimeter_etaglo.mat etaglo*;']); end;
81			end;
82
83	gforget	1.14	%%%%%%%%%%%%%%%%%
84			%do computations:
85			%%%%%%%%%%%%%%%%%
86
87	gforget	1.4	for doDifObsOrMod=1:3;
88	gforget	1.14
89	gforget	1.11	if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end;
90
91			if doComp==0;
92			eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']);
93			else;
94
95			tic;
96			%mdt cost function term (misfit plot)
97	gforget	1.14	dif_mdt=rdmds2gcmfaces([dirEcco 'mdtdiff_smooth']);
98	gforget	1.12	sig_mdt=read_bin([dirSigma nameSigma{1}],1,0);
99	gforget	1.11	sig_mdt(find(sig_mdt==0))=NaN;
100			%store:
101			myflds.dif_mdt=dif_mdt;
102			myflds.sig_mdt=sig_mdt;
103
104			%skip blanks:
105	gforget	1.14	tmp1=dir([dirEcco 'sladiff_smooth*data']);
106	gforget	1.11	nrec=tmp1.bytes/90/1170/4;
107			ttShift=17;
108			%skip 1992
109			listRecs=[1+365-ttShift:17+365*18-ttShift];
110			nRecs=length(listRecs); TT=1993+[0:nRecs-1]/365.25;
111
112			toc; tic;
113			%pointwise/1day terms:
114			sladiff_point=repmat(0*mygrid.RAC,[1 1 nRecs]); count_point=sladiff_point;
115			for ii=1:3;
116			if ii==1; myset='tp'; elseif ii==2; myset='gfo'; else; myset='ers'; end;
117			%topex pointwise misfits:
118			if doDifObsOrMod==1;
119	gforget	1.14	sladiff_tmp=cost_altimeter_read([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs);
120	gforget	1.11	elseif doDifObsOrMod==2;
121	gforget	1.14	sladiff_tmp=cost_altimeter_read([dirEcco 'slaobs_' myset '_raw'],ttShift+listRecs);
122	gforget	1.11	else;
123	gforget	1.14	sladiff_tmp=cost_altimeter_read([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs);
124			sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirEcco 'slaobs_' myset '_raw'],ttShift+listRecs);
125	gforget	1.11	end;
126			%add to overall data set:
127			sladiff_point=sladiff_point+sladiff_tmp; count_point=count_point+(sladiff_tmp~=0);
128			%finalize data set:
129			sladiff_tmp(sladiff_tmp==0)=NaN;
130			%compute rms:
131			count_tmp=sum(~isnan(sladiff_tmp),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
132			eval(['myflds.rms_' myset '=sqrt(nansum(sladiff_tmp.^2,3)./count_tmp);']);
133			eval(['myflds.std_' myset '=nanstd(sladiff_tmp,0,3).*msk_tmp;']);
134			end;
135			%finalize overall data set:
136			count_point(count_point==0)=NaN;
137			sladiff_point=sladiff_point./count_point;
138			%compute overall rms,std:
139			count_tmp=sum(~isnan(sladiff_point),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
140			myflds.rms_sladiff_point=sqrt(nansum(sladiff_point.^2,3)./count_tmp);
141			myflds.std_sladiff_point=nanstd(sladiff_point,0,3).*msk_tmp;
142			%
143			msk_point=1*(count_point>0);
144			%fill blanks:
145			warning('off','MATLAB:divideByZero');
146			msk=mygrid.mskC(:,:,1); msk(find(abs(mygrid.YC)>maxLatObs))=NaN;
147			myflds.xtrp_rms_sladiff_point=diffsmooth2D_extrap_inv(myflds.rms_sladiff_point,msk);
148			myflds.xtrp_std_sladiff_point=diffsmooth2D_extrap_inv(myflds.std_sladiff_point,msk);
149			warning('on','MATLAB:divideByZero');
150			%get weight:
151	gforget	1.12	sig_sladiff_point=read_bin([dirSigma nameSigma{3}],1,0);
152	gforget	1.11	sig_sladiff_point(find(sig_sladiff_point==0))=NaN;
153			myflds.sig_sladiff_point=sig_sladiff_point;
154
155			%computational mask : only points that were actually observed, and in 35d average
156	gforget	1.14	msk_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs);
157	gforget	1.11	msk_point35d=1*(msk_point35d~=0);
158			tmp1=sum(msk_point35d==0&msk_point~=0);
159			tmp2=sum(msk_point35d~=0&msk_point~=0);
160			fprintf('after masking : %d omitted, %d retained \n',tmp1,tmp2);
161			msk_point=msk_point.*msk_point35d;
162			msk_point(msk_point==0)=NaN;
163			%plotting mask : regions of less than 100 observations are omitted
164			msk_100pts=1*(nansum(msk_point,3)>=100);
165			msk_100pts(msk_100pts==0)=NaN;
166			%store
167			myflds.msk_100pts=msk_100pts;
168
169			toc; tic;
170			%lsc cost function term:
171			if doDifObsOrMod==1;
172	gforget	1.14	sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs);
173	gforget	1.11	elseif doDifObsOrMod==2;
174	gforget	1.14	sladiff_smooth=cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs);
175	gforget	1.11	else;
176	gforget	1.14	sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs);
177			sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs);
178	gforget	1.11	end;
179			%mask missing points:
180			sladiff_smooth(sladiff_smooth==0)=NaN;
181			sladiff_smooth=sladiff_smooth.*msk_point;
182			count_tmp=sum(~isnan(sladiff_smooth),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
183			%compute rms:
184			rms_sladiff_smooth=msk_tmp.*sqrt(nanmean(sladiff_smooth.^2,3));
185			std_sladiff_smooth=msk_tmp.*nanstd(sladiff_smooth,0,3);
186			%get weight:
187	gforget	1.12	sig_sladiff_smooth=read_bin([dirSigma nameSigma{2}],1,0);
188	gforget	1.11	sig_sladiff_smooth(find(sig_sladiff_smooth==0))=NaN;
189			%store:
190			myflds.rms_sladiff_smooth=rms_sladiff_smooth;
191			myflds.std_sladiff_smooth=std_sladiff_smooth;
192			myflds.sig_sladiff_smooth=sig_sladiff_smooth;
193
194			toc; tic;
195			%pointwise/point35days cost function term:
196			if doDifObsOrMod==1;
197	gforget	1.14	sladiff_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs);
198	gforget	1.11	elseif doDifObsOrMod==2;
199	gforget	1.14	sladiff_point35d=cost_altimeter_read([dirEcco 'slaobs_raw'],listRecs);
200	gforget	1.11	else;
201	gforget	1.14	sladiff_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs);
202			sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirEcco 'slaobs_raw'],listRecs);
203	gforget	1.11	end;
204			%mask missing points:
205			sladiff_point35d(sladiff_point35d==0)=NaN;
206			sladiff_point35d=sladiff_point35d.*msk_point;
207			count_tmp=sum(~isnan(sladiff_point35d),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp;
208			%compute rms:
209			rms_sladiff_point35d=msk_tmp.*sqrt(nanmean(sladiff_point35d.^2,3));
210			std_sladiff_point35d=msk_tmp.*nanstd(sladiff_point35d,0,3);
211			%store:
212			myflds.rms_sladiff_point35d=rms_sladiff_point35d;
213			myflds.std_sladiff_point35d=std_sladiff_point35d;
214
215			if 0;
216			%difference between scales
217			rms_sladiff_35dMsmooth=msk_tmp.*sqrt(nanmean((sladiff_point35d-sladiff_smooth).^2,3));
218			std_sladiff_35dMsmooth=msk_tmp.*nanstd((sladiff_point35d-sladiff_smooth),0,3);
219			%store:
220			myflds.rms_sladiff_35dMsmooth=rms_sladiff_35dMsmooth;
221			myflds.std_sladiff_35dMsmooth=std_sladiff_35dMsmooth;
222
223			%difference between scales
224			rms_sladiff_pointMpoint35d=msk_tmp.*sqrt(nanmean((sladiff_point-sladiff_point35d).^2,3));
225			std_sladiff_pointMpoint35d=msk_tmp.*nanstd((sladiff_point-sladiff_point35d),0,3);
226			%store:
227			myflds.rms_sladiff_pointMpoint35d=rms_sladiff_pointMpoint35d;
228			myflds.std_sladiff_pointMpoint35d=std_sladiff_pointMpoint35d;
229			end;
230
231			%compute zonal mean/median:
232			for ii=1:4;
233			switch ii;
234			case 1; tmp1='mdt'; cost_fld=(mygrid.mskC(:,:,1).*myflds.dif_mdt./myflds.sig_mdt).^2;
235			case 2; tmp1='lsc'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_smooth./myflds.sig_sladiff_smooth).^2;
236			case 3; tmp1='point35d'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point35d./myflds.sig_sladiff_point).^2;
237			case 4; tmp1='point'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point./myflds.sig_sladiff_point).^2;
238			end;
239			cost_zmean=calc_zonmean_T(cost_fld); eval(['mycosts_mean.' tmp1 '=cost_zmean;']);
240			cost_zmedian=calc_zonmedian_T(cost_fld); eval(['mycosts_median.' tmp1 '=cost_zmedian;']);
241			end;
242
243			toc; %write to disk:
244			if doSave; eval(['save ' dirMat 'cost/cost_altimeter_' suf '.mat myflds mycosts_mean mycosts_median;']); end;
245
246			end;%if doComp
247
248			if doPlot;
249			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];
250			figure; m_map_gcmfaces(myflds.dif_mdt,0,{'myCaxis',cc}); drawnow;
251			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];
252			figure; m_map_gcmfaces(myflds.rms_sladiff_smooth,0,{'myCaxis',cc}); drawnow;
253			figure; m_map_gcmfaces(myflds.rms_sladiff_point35d,0,{'myCaxis',cc}); drawnow;
254			figure; m_map_gcmfaces(myflds.rms_sladiff_point,0,{'myCaxis',cc}); drawnow;
255			end;
256
257			if doPlot&doPrint;
258			dirFig='../figs/altimeter/'; ff0=gcf-4;
259			for ff=1:4;
260			figure(ff+ff0); saveas(gcf,[dirFig runName '_' suf num2str(ff)],'fig');
261			eval(['print -depsc ' dirFig runName '_' suf num2str(ff) '.eps;']);
262			eval(['print -djpeg90 ' dirFig runName '_' suf num2str(ff) '.jpg;']);
263			end;
264			end;
265
266	gforget	1.4	end;%for doDifObsOrMod=1:3;
267
268
269
270			function [fldOut]=cost_altimeter_read(fileIn,recIn);
271
272			nrec=length(recIn);
273			global mygrid; siz=[size(convert2gcmfaces(mygrid.XC)) nrec];
274			lrec=siz(1)siz(2)4;
275			myprec='float32';
276
277			fldOut=zeros(siz);
278			fid=fopen([fileIn '.data'],'r','b');
279			for irec=1:nrec;
280	gforget	1.11	status=fseek(fid,(recIn(irec)-1)*lrec,'bof');
281			fldOut(:,:,irec)=fread(fid,siz(1:2),myprec);
282	gforget	1.4	end;
283
284			fldOut=convert2gcmfaces(fldOut);
285
286
287