/[MITgcm]/MITgcm_contrib/gael/profilesMatlabProcessing/profiles_prep_argo_ifremer.m
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Revision 1.2 - (hide annotations) (download)
Thu May 13 19:51:13 2010 UTC (15 years, 2 months ago) by gforget
Branch: MAIN
CVS Tags: HEAD
Changes since 1.1: +0 -0 lines
FILE REMOVED
moving to profiles_process_argo_v1

1 gforget 1.1 % t_test, s_test description
2     % 0 = valid data
3     % 1 = outside +/-79 lat
4     % 2 = absurd sal value
5     % 3 = doubtful profiler (based on our own evaluations)
6     % 4 = doubtful profiler (based on Argo grey list)
7     % 5 = high climatology/atlas cost - all four of them
8     % 6 = bad Pressure vector
9    
10     %clear
11    
12     global rep_out filename_out;
13     global t_std s_std t_test s_test t_w s_w t_equi s_equi;
14     global ymd hms pnum pnum_txt lon lat direc dmod ilon ilat imonth;
15     global fill_value_output initChkFile;
16    
17     profiles_prep_load_fields;
18    
19     %depths of standard levels :
20     dmod=[[5:10:185] [200:20:500] [550:50:1000] [1100:100:6000]];
21     %maximum level to compute : e.g. 2000m for ARGO profiles
22     lev_max=max(find(dmod<=2000)); fprintf(['level max : ' num2str(lev_max) ' \n']);
23     dmod=dmod(1:lev_max);
24     %fill value for the output files :
25     fill_value_output=-9999;
26     %do we start from in situ temperature?
27     TfromINSITUtoPOT=1; %1 => we will convert to potential temperature
28     %do we start from P vertical coordinate?
29     PfromPtoZ=1; %1 => we will convert to depth
30    
31     %loop over the data files :
32     for rep_nb=1:3
33     clear fid*; %needed to properly initialize output files
34     switch rep_nb
35     case 1
36     bassin_cur='INDIAN';
37     case 2
38     bassin_cur='PACIFIC';
39     case 3
40     bassin_cur='ATLANTIC';
41     end
42     rep_in=['/net/altix3700/raid4/gforget/ARGO/ifremer/' bassin_cur '/'];
43     rep_out='/net/altix3700/raid4/gforget/ARGO/ifremer/ECCOformat/'; filename_out=[bassin_cur '_ARGO_EDW'];
44    
45     initChkFile=1;
46    
47     %get the number of files to be treated :
48     fid=fopen(['/net/altix3700/raid4/gforget/ARGO/ifremer/NC_list_' bassin_cur],'r');
49     foo=fread(fid);
50     nfiles=size(foo);
51     nfiles=nfiles(1)/17;
52     fclose(fid);
53    
54     %file with the list of source files :
55     fid=fopen(['/net/altix3700/raid4/gforget/ARGO/ifremer/NC_list_' bassin_cur],'r');
56    
57     %loop over data files :
58     ktQC=0*ones(1,9);ksQC=0*ones(1,9);
59    
60     for nf=1:nfiles % FILE LOOP
61    
62    
63     if mod(nf,100)==0|nf==1; fprintf([num2str(nf) ' ' num2str(nfiles) '\n']); end;
64    
65     clear PRES* PSAL* TEMP*;
66     TEMP=8888*ones(500,1);PSAL=8888*ones(500,1);
67     name=fread(fid,16,'char');name= setstr(name);name=name';
68     junk=fread(fid,1,'char');
69    
70     if ( rep_nb~=1|isempty(findstr(name,'20050911_prof')) )
71    
72     eval(['ncload ' rep_in name ';']);
73    
74     %some dimensions inversions exist for _QC variables (!?)
75     if size(PRES_QC,1)~=size(PRES,1)
76     PRES_QC=PRES_QC';
77     if ~isempty(who('PRES_ADJUSTED_QC'));PRES_ADJUSTED_QC=PRES_ADJUSTED_QC';end;
78     if ~isempty(who('PSAL_QC'));PSAL_QC=PSAL_QC';end;
79     if ~isempty(who('PSAL_ADJUSTED_QC'));PSAL_ADJUSTED_QC=PSAL_ADJUSTED_QC';end;
80     if ~isempty(who('TEMP_QC'));TEMP_QC=TEMP_QC';end;
81     if ~isempty(who('TEMP_ADJUSTED_QC'));TEMP_ADJUSTED_QC=TEMP_ADJUSTED_QC';end;
82     end
83    
84     if size(PLATFORM_NUMBER,1)~=size(PRES,1); PLATFORM_NUMBER=PLATFORM_NUMBER'; end;
85    
86     %get the fillvalues:
87     nc = netcdf([rep_in name], 'nowrite');
88     PRES_fillval=fillval(nc{'PRES'});
89     if PSAL(1,1) ~= 8888; PSAL_fillval=fillval(nc{'PSAL'});end;
90     if TEMP(1,1) ~= 8888; TEMP_fillval=fillval(nc{'TEMP'});end;
91     PLATFORM_NUMBER_fillval=fillval(nc{'PLATFORM_NUMBER'});
92     nc = close(nc);
93    
94     REFdateOBS=str2num(strvcat(REFERENCE_DATE_TIME(1:4),REFERENCE_DATE_TIME(5:6),REFERENCE_DATE_TIME(7:8),REFERENCE_DATE_TIME(9:10),REFERENCE_DATE_TIME(11:12),REFERENCE_DATE_TIME(13:14)))'; REFdateOBS=jul_0h(REFdateOBS);
95     VECdateOBS=REFdateOBS+JULD;
96    
97     xx=size(PRES);mloc=xx(1);mpts=xx(2);
98    
99     for m=1:mloc % LOCATION LOOP
100    
101     %date, position, etc
102    
103     tmp1=greg_0h(VECdateOBS(m));
104     ymd=tmp1(1)*1e4+tmp1(2)*1e2+tmp1(3);
105     hms=tmp1(4)*1e4+tmp1(5)*1e2+tmp1(6);
106    
107     imonth=tmp1(2);
108    
109     lat=LATITUDE(m);
110     lon=LONGITUDE(m); if lon < 0; lon=lon+360;end;
111    
112     ilon=find(((vec_lon-lon).^2)==min((vec_lon-lon).^2)); ilon=ilon(1);
113     ilat=find(((vec_lat-lat).^2)==min((vec_lat-lat).^2)); ilat=ilat(1);
114    
115     direc=0;if(DIRECTION(m)=='A');direc=1;end;if(DIRECTION(m)=='D');direc=2;end
116    
117     pnum_txt=deblank(PLATFORM_NUMBER(m,:)); pnum_txt=pnum_txt(pnum_txt~=PLATFORM_NUMBER_fillval);
118     pnum=double(pnum_txt); pnum=pnum(find(pnum>=48&pnum<=57)); pnum=str2num(char(pnum));
119     if isempty(pnum); pnum_txt='9999'; pnum=9999; end;
120    
121     %observations
122    
123     p=PRES_ADJUSTED(m,:);
124     p_QC=PRES_ADJUSTED_QC(m,:);
125     if isempty(find(p~=PRES_fillval)); p=PRES(m,:); p_QC=PRES_QC(m,:); end
126    
127     tmp1=find(isnan(p)); p(tmp1)=PRES_fillval; p_QC(tmp1)='5';
128     for n=1:length(p)-1;
129     tmp1=find(p(n+1:end)==p(n)&p(n+1:end)~=PRES_fillval);
130     p(n+tmp1)=PRES_fillval;p_QC(n+tmp1)='5';
131     end
132    
133     bad_P=0;
134     tmp1=find(p_QC=='4');
135     if(length(tmp1)<=5);
136     %get rid of these few bad points and keep the profile
137     p(tmp1)=PRES_fillval;p_QC(tmp1)='5';
138     else;
139     %flag the profile (will be masked in the main file)
140     %but keep the bad points (to interp and be able to CHECK)
141     bad_P=1;
142     end;
143    
144     if TEMP(m,1) ~= 8888
145     t=TEMP_ADJUSTED(m,:);
146     t_QC=TEMP_ADJUSTED_QC(m,:);
147     t_ERR=TEMP_ADJUSTED_ERROR(m,:);tf=find(t_ERR==TEMP_fillval|isnan(t_ERR));t_ERR(tf)=0;
148     if isempty(find(t~=TEMP_fillval)); t=TEMP(m,:); t_QC=TEMP_QC(m,:); end
149     end
150    
151     if PSAL(m,1) ~= 8888
152     s=PSAL_ADJUSTED(m,:);
153     s_QC=PSAL_ADJUSTED_QC(m,:);
154     s_ERR=PSAL_ADJUSTED_ERROR(m,:);sf=find(s_ERR==PSAL_fillval|isnan(s_ERR));,s_ERR(sf)=0;
155     if isempty(find(s~=PSAL_fillval)); s=PSAL(m,:); s_QC=PSAL_QC(m,:); end
156     end
157    
158     %convert pressure to depth (if necessary)
159     if PfromPtoZ
160     tmp1=find((p~=PRES_fillval)&(~isnan(p)));
161     if ~isempty(tmp1); p( tmp1 ) = find_depth(p(tmp1),lat); end;
162     end
163    
164     %interpolation for T :
165     z_std=dmod; t_std=NaN*z_std; tE_std=t_std;
166     if TEMP(m,1) ~= 8888
167     tmp1=find((t_QC=='1'|t_QC=='2') & (p~=PRES_fillval&~isnan(p)));
168     z_in=p(tmp1); t_in=t(tmp1); tE_in=t_ERR(tmp1);
169     if length(t_in)>5 %...expected to avoid isolated values
170     t_std = interp1(z_in,t_in,z_std);
171     t_std=profiles_prep_test_interp(t_std,z_std,z_in,NaN);
172     tE_std = interp1(z_in,tE_in,z_std);
173     tE_std=profiles_prep_test_interp(tE_std,z_std,z_in,NaN);
174     end
175     end%z_std=gdept; t_std=NaN*z_std;
176     t_std(find(isnan(t_std)))=fill_value_output;
177     tE_std(find(isnan(tE_std)))=fill_value_output;
178    
179     %interpolation for S :
180     z_std=dmod; s_std=NaN*z_std; sE_std=s_std;
181     if PSAL(m,1) ~= 8888
182     tmp1=find((s_QC=='1'|s_QC=='2') & (p~=PRES_fillval&~isnan(p)));
183     z_in=p(tmp1); s_in=s(tmp1); sE_in=s_ERR(tmp1);
184     if length(s_in)>5
185     s_std = interp1(z_in,s_in,z_std);
186     s_std=profiles_prep_test_interp(s_std,z_std,z_in,NaN);
187     sE_std = interp1(z_in,sE_in,z_std);
188     sE_std=profiles_prep_test_interp(sE_std,z_std,z_in,NaN);
189     end
190     end%if PSAL(m,1) ~= 8888
191     s_std(find(isnan(s_std)))=fill_value_output;
192     sE_std(find(isnan(sE_std)))=fill_value_output;
193    
194     %convert T in situ to T potential (if necessary)
195     if TfromINSITUtoPOT
196     tmpP=0.981*1.027*dmod; tmpS=35*ones(size(t_std));
197     tmpIND=find(t_std~=fill_value_output);
198     if ~isempty(tmpIND)
199     t_std(tmpIND)=sw_ptmp(tmpS(tmpIND),t_std(tmpIND),tmpP(tmpIND),0);
200     end
201     end
202    
203    
204     %attribute weights: (modified later in profiles_prep_write_nc)
205     %
206     % by assumption: the uncertainty field contains non-zero values
207     % (which avoid the complication of handling horiz interpolation here)
208     % and we do not mask the data (the model will do this, given a mask)
209     %
210     t_w = squeeze(T_weights(ilon,ilat,:)); t_w = interp1(dmod_ref',t_w',dmod')'.^2;
211     tmp1=find(tE_std~=fill_value_output); t_w(tmp1)=t_w(tmp1)+tE_std(tmp1).^2;
212     s_w = squeeze(S_weights(ilon,ilat,:)); s_w = interp1(dmod_ref',s_w',dmod')'.^2;
213     tmp1=find(sE_std~=fill_value_output); s_w(tmp1)=s_w(tmp1)+sE_std(tmp1).^2;
214     t_w=t_w.^-1; s_w=s_w.^-1;
215    
216     if ~isempty(find(isnan(t_w.*s_w))); fprintf('error in weighting'); return; end;
217    
218    
219     %tests of the data values :
220     %--------------------------
221     % t_test>0 or s_test>0 implies the data value is rejected,
222     % the value of t_test indicates on what criterium
223     t_test=zeros(size(t_std)); s_test=t_test;
224    
225     %test of the extreme latitudes :
226     if abs(lat)>79; t_test(:)=1; s_test(:)=1; end;
227    
228     %test of "absurd" salinity values : test
229     s_test(find( (s_std>42)&(s_std~=fill_value_output) ))=2;
230     s_test(find( (s_std<25)&(s_std~=fill_value_output) ))=2;
231    
232     %tests of doubtful profilers :
233     %profiles_prep_test_profiler2;
234     %profiles_prep_test_profiler3;
235     %profiles_prep_test_profiler4;
236    
237     %tests of the cost VS the climatology :
238     profiles_prep_test_atlas(50);
239    
240     %bad pressure flag:
241     if bad_P==1; t_test(:)=6; s_test(:)=6; end;
242    
243     %store/write results:
244     profiles_prep_write_nc(1);
245    
246     end % LOCATION LOOP
247     end %if ( rep_nb~=1|isempty(findstr(name,'20050911_prof') )
248     end % FILE LOOP
249     profiles_prep_write_nc(2);
250     end%for rep_nb=1:3
251    
252    

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