| 1 |
gforget |
1.1 |
function [MITprof]=MITprof_stats_load(dirData,listData,varCur,varargin); |
| 2 |
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%[MITprof]=MITprof_stats_load(dirData,listData,varCur,varargin); |
| 3 |
gforget |
1.4 |
%object: loads a series of MITprof files, and computes |
| 4 |
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% normalized misfits for one variable |
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%input: dirData is the data directory name |
| 6 |
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% listData is the data file list (e.g. {'argo_in*'} or {'argo_in*','argo_at*'} ) |
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% varCur is 'T' or 'S' |
| 8 |
gforget |
1.6 |
% normFactor (optional; double) is the normalization factor (1./prof_?weight by default) |
| 9 |
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% varSpec (optional; char) is e.g. 'prof_T' or 'prof_Testim' |
| 10 |
gforget |
1.4 |
%output: MITprof.prof is the normalized misfit |
| 11 |
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%note: by assumption, all of the files in listData must share the same vertical grid |
| 12 |
gforget |
1.1 |
|
| 13 |
gforget |
1.6 |
normFactor=[]; varSpec=''; |
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if nargin>3; |
| 15 |
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if isnumeric(varargin{1}); normFactor=varargin{1}; end; |
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if ischar(varargin{1}); varSpec=varargin{1}; end; |
| 17 |
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end; |
| 18 |
gforget |
1.1 |
|
| 19 |
gforget |
1.2 |
useExtendedProfDepth=1; |
| 20 |
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| 21 |
gforget |
1.5 |
%develop listData (that may include wildcards) |
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listData_bak=listData; |
| 23 |
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listData={}; |
| 24 |
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for ii=1:length(listData_bak); |
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tmp1=dir([dirData listData_bak{ii}]); |
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for jj=1:length(tmp1); |
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ii2=length(listData)+1; |
| 28 |
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listData{ii2}=tmp1(jj).name; |
| 29 |
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end; |
| 30 |
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end; |
| 31 |
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%avoid duplicates |
| 32 |
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listData=unique(listData); |
| 33 |
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| 34 |
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%loop over files |
| 35 |
gforget |
1.1 |
for iFile=1:length(listData); |
| 36 |
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fileData=dir([dirData listData{iFile}]); |
| 37 |
gforget |
1.5 |
fileData=fileData.name; |
| 38 |
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fprintf(['loading ' varCur ' from ' fileData '\n']); |
| 39 |
gforget |
1.1 |
MITprofCur=MITprof_load([dirData fileData]); |
| 40 |
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| 41 |
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% fixes: |
| 42 |
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if ~isfield(MITprofCur,'prof_S'); |
| 43 |
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tmp1=NaN*MITprofCur.prof_T; |
| 44 |
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MITprofCur.prof_S=tmp1; MITprofCur.prof_Sestim=tmp1; |
| 45 |
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MITprofCur.prof_Sweight=tmp1; MITprofCur.prof_Sflag=[]; |
| 46 |
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end; |
| 47 |
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% fixes |
| 48 |
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| 49 |
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if ~isempty(normFactor);%replace weights with normFactor |
| 50 |
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eval(['tmp1=MITprofCur.prof_' varCur 'weight;']); |
| 51 |
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tmp1(tmp1>0)=normFactor; |
| 52 |
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eval(['MITprofCur.prof_' varCur 'weight=tmp1;']); |
| 53 |
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end; |
| 54 |
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| 55 |
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if varCur=='T'; |
| 56 |
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tmp1=(MITprofCur.prof_Testim-MITprofCur.prof_T).*sqrt(MITprofCur.prof_Tweight); |
| 57 |
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else; |
| 58 |
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tmp1=(MITprofCur.prof_Sestim-MITprofCur.prof_S).*sqrt(MITprofCur.prof_Sweight); |
| 59 |
gforget |
1.2 |
end; |
| 60 |
gforget |
1.6 |
%nan-mask |
| 61 |
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tmp1(tmp1==0)=NaN; |
| 62 |
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%replace non-masked values with varSpec? |
| 63 |
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if ~isempty(varSpec); |
| 64 |
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eval(['tmp2=MITprofCur.' varSpec ';']); tmp2(isnan(tmp1))=NaN; tmp1=tmp2; |
| 65 |
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end; |
| 66 |
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MITprofCur.prof=tmp1; |
| 67 |
gforget |
1.3 |
|
| 68 |
gforget |
1.4 |
listRm={'prof_T','prof_Testim','prof_Tweight','prof_Tflag','prof_Terr',... |
| 69 |
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'prof_S','prof_Sestim','prof_Sweight','prof_Sflag','prof_Serr',... |
| 70 |
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'prof_T_SOSE59','prof_S_SOSE59','prof_madt_aviso'}; |
| 71 |
gforget |
1.2 |
for iRm=1:length(listRm); |
| 72 |
gforget |
1.3 |
if isfield(MITprofCur,listRm{iRm}); MITprofCur=rmfield(MITprofCur,listRm{iRm}); end; |
| 73 |
gforget |
1.1 |
end; |
| 74 |
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| 75 |
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MITprofCur.prof_date=datenum(num2str(MITprofCur.prof_YYYYMMDD*1e6+MITprofCur.prof_HHMMSS),'yyyymmddHHMMSS'); |
| 76 |
gforget |
1.3 |
%old: ii=find(MITprofCur.prof_date<datenum(1992,1,1)|MITprofCur.prof_date>datenum(2008,12,27)); MITprofCur.prof(ii,:)=NaN; |
| 77 |
gforget |
1.1 |
|
| 78 |
gforget |
1.2 |
if useExtendedProfDepth; |
| 79 |
gforget |
1.3 |
%use extended standard depth vector |
| 80 |
gforget |
1.2 |
all_depth=[ 0 5 10 15 20 25 30 35 45 50 55 65 75 85 95 100 ... |
| 81 |
gforget |
1.3 |
105 115 125 135 145 150 155 165 175 185 200 220 240 250 260 280 ... |
| 82 |
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300 320 340 360 380 400 420 440 460 480 500 550 600 650 700 750 ... |
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800 850 900 950 1000 1100 1200 1300 1400 1500 1600 1700 1750 1800 1900 2000 2100 ... |
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2200 2300 2400 2500 2600 2700 2800 2900 3000 3100 3200 3300 3400 3500 3600 3700 ... |
| 85 |
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3800 3900 4000 4100 4200 4300 4400 4500 4600 4700 4800 4900 5000 5100 5200 5300 ... |
| 86 |
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5400 5500 5600 5700 5800 5900 6000 6500 7000 7500 8000 8500 9000]; |
| 87 |
gforget |
1.2 |
k_depth=NaN*zeros(1,MITprofCur.nr); |
| 88 |
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for kk=1:MITprofCur.nr; k_depth(kk)=find(MITprofCur.prof_depth(kk)==all_depth); end; |
| 89 |
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all_prof=NaN*ones(MITprofCur.np,length(all_depth)); |
| 90 |
gforget |
1.3 |
all_prof(:,k_depth)=MITprofCur.prof; |
| 91 |
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MITprofCur.prof=all_prof; |
| 92 |
gforget |
1.2 |
MITprofCur.nr=length(all_depth); |
| 93 |
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MITprofCur.prof_depth=all_depth; |
| 94 |
gforget |
1.1 |
end; |
| 95 |
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| 96 |
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if iFile==1; |
| 97 |
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MITprof=MITprofCur; |
| 98 |
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else; |
| 99 |
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MITprof=MITprof_concat(MITprof,MITprofCur); |
| 100 |
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end; |
| 101 |
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clear MITprofCur; |
| 102 |
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end; |
| 103 |
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| 104 |
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