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function []=insitu_cost(doComp,varargin); |
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%object: computes or displays cost function statistics |
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%input: doComp states whether to compute & save (1) or load & display (0) |
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%optional must take the following form {'name',param1,param2,...} Active ones are |
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% {'dirData',dirData} is the data subdirectory name ('profiles/output/' by default) |
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% {'listData',data1,data2,...} where data1 e.g. is 'argo_indian.nc' |
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% {'listVar',var1,var2} where var1 and var2 are 'T' and 'S' |
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% {'years',year0,year1} to limit computation to [year0 year1] interval |
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% {'dirMat',dirMat} where dirMat is the output subdirectory ('mat/' by default) |
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% {'suffMat',suffMat} is the mat file suffix ('all' by default) |
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% {'dirTex',dirTex} where dirTex is the tex directory ('tex/' by default) |
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% {'nameTex',nameTex} is the tex file name ('myPlots' by default) |
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% {'addToTex',addToTex} states whether (1) or not (0 default) to |
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% augment an ongoing tex file (see write2tex.m, dirTex) |
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% |
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%example: insitu_cost('./',1,{'listData','argo_in*'}); |
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|
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%load paths and grid: |
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%-------------------- |
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global mygrid; if isempty(mygrid); grid_load('GRID/',5,'compact'); end; |
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|
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%set more optional paramaters to default values |
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global myparms; year0=myparms.yearInAve(1); year1=myparms.yearInAve(2); |
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listData={'argo_june2012_1992_to_2007*','argo_june2012_2008_to_2010*',... |
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'argo_june2012_2011_to_2012*','climode_june2012*',... |
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'ctd_june2012*','itp_june2012*','seals_june2012*','xbt_june2012*'}; |
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listVar={'T','S'}; |
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%shorter test case: listData={'argo_in*'}; listVar={'T'}; |
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dirData='/profiles/output/'; |
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dirMat='mat/'; suffMat='_all'; |
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dirTex='tex/'; addToTex=0; nameTex='myPlots'; |
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%set more optional paramaters to user defined values |
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for ii=1:nargin-1; |
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if strcmp(varargin{ii}{1},'listData'); listData={varargin{ii}{2:end}}; |
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elseif strcmp(varargin{ii}{1},'listVar'); listVar={varargin{ii}{2:end}}; |
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elseif strcmp(varargin{ii}{1},'years'); year0=varargin{ii}{2}; year1=varargin{ii}{3}; |
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elseif strcmp(varargin{ii}{1},'dirMat'); dirMat=varargin{ii}{2}; |
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elseif strcmp(varargin{ii}{1},'suffMat'); suffMat=['_' varargin{ii}{2}]; |
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elseif strcmp(varargin{ii}{1},'dirTex'); dirTex=varargin{ii}{2}; |
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elseif strcmp(varargin{ii}{1},'addToTex'); addToTex=varargin{ii}{2}; |
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elseif strcmp(varargin{ii}{1},'nameTex'); nameTex=varargin{ii}{2}; |
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elseif strcmp(varargin{ii}{1},'dirData'); dirData=varargin{ii}{2}; |
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else; |
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warning('inputCheck:insitu_cost',... |
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['unknown option ''' varargin{ii}{1} ''' was ignored']); |
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end; |
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end; |
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|
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if doComp; |
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|
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%time limits: |
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date0=datenum(year0,1,1); date1=datenum(year1,12,31); |
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|
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for vv=1:length(listVar); |
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varCur=listVar{vv}; |
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|
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%get the cost square root: |
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[MITprof]=MITprof_stats_load([dirData],listData,varCur); |
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|
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%mask out values that are not in year range: |
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ii=find(MITprof.prof_date<date0|MITprof.prof_date>date1); |
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MITprof.prof(ii,:)=NaN; |
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|
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%mean and median: |
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costCur=[nanmean(MITprof.prof(:).^2) nanmedian(MITprof.prof(:).^2)]; |
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fprintf('mean cost for %s: %0.3g (median: %0.3g) \n',varCur,costCur); |
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eval(['costAve' varCur '.mean=costCur(1);']); |
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eval(['costAve' varCur '.median=costCur(2);']); |
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|
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%depth/time mean cost: |
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tmp_date=(MITprof.prof_date-date0)/365; |
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% [x,y,z,n]=MITprof_stats(MITprof.prof_depth,MITprof.prof_depth,... |
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[x,y,z,n]=MITprof_stats(MITprof.prof_depth,[0:200:1000 1500:500:6000],... |
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tmp_date,[0:1/4:1+(year1-year0)],'mean',MITprof.prof.^2); |
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z(n==0)=NaN; n(n==0)=NaN; |
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eval(['depthTimeCost' varCur '.x=x;']); eval(['depthTimeCost' varCur '.y=y;']); |
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eval(['depthTimeCost' varCur '.z=z;']); eval(['depthTimeCost' varCur '.n=n;']); |
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|
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%latitudinal distribution: |
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[x,y,z,n]=MITprof_stats(MITprof.prof_lat,[-90:5:90],MITprof.prof,[-5:0.25:5]); |
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z(n==0)=NaN; n(n==0)=NaN; |
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eval(['misfitDistrib' varCur '.x=x;']); eval(['misfitDistrib' varCur '.y=y;']); |
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eval(['misfitDistrib' varCur '.z=z;']); eval(['misfitDistrib' varCur '.n=n;']); |
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|
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end; |
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|
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eval(['save ' dirMat 'insitu_cost' suffMat '.mat costAve* misfitDistrib* depthTimeCost* year* listData listVar;']); |
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|
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else;%display result |
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|
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eval(['load ' dirMat 'insitu_cost' suffMat '.mat;']); |
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|
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figureL; |
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|
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for vv=1:length(listVar); |
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varCur=listVar{vv}; |
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|
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eval(['costCur=[costAve' varCur '.mean costAve' varCur '.median];']); |
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|
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eval(['x=depthTimeCost' varCur '.x;']); eval(['y=depthTimeCost' varCur '.y;']); |
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eval(['z=depthTimeCost' varCur '.z;']); eval(['n=depthTimeCost' varCur '.n;']); |
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z(n<1e2)=NaN; |
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subplot(2,length(listVar),vv); depthStretchPlot('pcolor',{y,x,z},[0:200:1000 1500:500:6000],[0 1000 4000]); |
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caxis([0 8]); shading flat; colorbar; ylabel('depth (in m)'); |
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xlabel(['date (in years since ' num2str(year0) ')']); |
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title(sprintf('mean cost for %s: %0.3g (median: %0.3g)',varCur,costCur)); |
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|
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%latitudinal distribution: |
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eval(['x=misfitDistrib' varCur '.x;']); eval(['y=misfitDistrib' varCur '.y;']); |
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eval(['z=misfitDistrib' varCur '.z;']); eval(['n=misfitDistrib' varCur '.n;']); |
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tmp1=(nansum(n,2)>1e4)*ones(1,size(n,2)); z(tmp1==0)=NaN; |
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subplot(2,length(listVar),vv+length(listVar)); contourf(x,y,z,[0:0.05:0.5]); grid on; |
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caxis([0 0.5]); colorbar; ylabel('normalized misfit'); xlabel('latitude'); title('pdf'); |
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|
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end; |
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|
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myCaption={'Cost function (top) for in situ profiles, as a function of depth and time. ',... |
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'Distribution of normalized misfits (bottom) as a function of latitude. For T (left) and S (right).'}; |
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if addToTex; write2tex([dirTex '/' nameTex '.tex'],2,myCaption,gcf); end; |
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|
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end; |
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