/[MITgcm]/MITgcm_contrib/gael/profilesMatlabProcessing/profiles_prep_argo_ifremer_parts.m
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Revision 1.2 - (hide annotations) (download)
Thu May 13 19:51:13 2010 UTC (15 years, 7 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     %split in parts:
18     nbparts=16; %numpart=1
19    
20     profiles_prep_load_fields;
21    
22     %depths of standard levels :
23     dmod=[[5:10:185] [200:20:500] [550:50:1000] [1100:100:6000]];
24     %maximum level to compute : e.g. 2000m for ARGO profiles
25     lev_max=max(find(dmod<=2000)); fprintf(['level max : ' num2str(lev_max) ' \n']);
26     dmod=dmod(1:lev_max);
27     %fill value for the output files :
28     fill_value_output=-9999;
29     %do we start from in situ temperature?
30     TfromINSITUtoPOT=1; %1 => we will convert to potential temperature
31     %do we start from P vertical coordinate?
32     PfromPtoZ=1; %1 => we will convert to depth
33    
34     %loop over the data files :
35     for rep_nb=1:3
36     clear fid*; %needed to properly initialize output files
37     switch rep_nb
38     case 1
39     bassin_cur='INDIAN';
40     case 2
41     bassin_cur='PACIFIC';
42     case 3
43     bassin_cur='ATLANTIC';
44     end
45     rep_in=['/net/altix3700/raid4/gforget/ARGO/ifremer/' bassin_cur '/'];
46     rep_out=['/net/altix3700/raid4/gforget/ARGO/ifremer/ECCOformat/PART' num2str(numpart) '/'];
47     eval(['mkdir ' rep_out]);
48     filename_out=[bassin_cur '_ARGO_EDW'];
49    
50     initChkFile=1;
51    
52     %get the number of files to be treated :
53     fid=fopen(['/net/altix3700/raid4/gforget/ARGO/ifremer/NC_list_' bassin_cur],'r');
54     foo=fread(fid);
55     nfiles=size(foo);
56     nfiles=nfiles(1)/17;
57     fclose(fid);
58    
59     %file with the list of source files :
60     fid=fopen(['/net/altix3700/raid4/gforget/ARGO/ifremer/NC_list_' bassin_cur],'r');
61    
62     %loop over data files :
63     ktQC=0*ones(1,9);ksQC=0*ones(1,9);
64    
65     %split in parts:
66     nfiles_part=ceil(nfiles/nbparts);
67     if numpart~=nbparts; nfiles_part=[1:nfiles_part]+nfiles_part*(numpart-1);
68     else; nfiles_part=[1+nfiles_part*(numpart-1):nfiles]; end;
69    
70     %jump over first files if necessary
71     for nf=1:nfiles_part(1)-1
72     name=fread(fid,17,'char');
73     end
74    
75    
76     for nf=nfiles_part % FILE LOOP
77    
78    
79     if mod(nf,100)==0|nf==1; fprintf([num2str(nf) ' ' num2str(nfiles) '\n']); end;
80    
81     clear PRES* PSAL* TEMP*;
82     TEMP=8888*ones(500,1);PSAL=8888*ones(500,1);
83     name=fread(fid,16,'char');name= setstr(name);name=name';
84     junk=fread(fid,1,'char');
85    
86     if ( rep_nb~=1|isempty(findstr(name,'20050911_prof')) )
87    
88     eval(['ncload ' rep_in name ';']);
89    
90     %some dimensions inversions exist for _QC variables (!?)
91     if size(PRES_QC,1)~=size(PRES,1)
92     PRES_QC=PRES_QC';
93     if ~isempty(who('PRES_ADJUSTED_QC'));PRES_ADJUSTED_QC=PRES_ADJUSTED_QC';end;
94     if ~isempty(who('PSAL_QC'));PSAL_QC=PSAL_QC';end;
95     if ~isempty(who('PSAL_ADJUSTED_QC'));PSAL_ADJUSTED_QC=PSAL_ADJUSTED_QC';end;
96     if ~isempty(who('TEMP_QC'));TEMP_QC=TEMP_QC';end;
97     if ~isempty(who('TEMP_ADJUSTED_QC'));TEMP_ADJUSTED_QC=TEMP_ADJUSTED_QC';end;
98     end
99     if size(PLATFORM_NUMBER,1)~=size(PRES,1); PLATFORM_NUMBER=PLATFORM_NUMBER'; end;
100    
101     %get the fillvalues:
102     nc = netcdf([rep_in name], 'nowrite');
103     PRES_fillval=fillval(nc{'PRES'});
104     if PSAL(1,1) ~= 8888; PSAL_fillval=fillval(nc{'PSAL'});end;
105     if TEMP(1,1) ~= 8888; TEMP_fillval=fillval(nc{'TEMP'});end;
106     PLATFORM_NUMBER_fillval=fillval(nc{'PLATFORM_NUMBER'});
107     nc = close(nc);
108    
109     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);
110     VECdateOBS=REFdateOBS+JULD;
111    
112     xx=size(PRES);mloc=xx(1);mpts=xx(2);
113    
114     for m=1:mloc % LOCATION LOOP
115    
116     %date, position, etc
117    
118     tmp1=greg_0h(VECdateOBS(m));
119     ymd=tmp1(1)*1e4+tmp1(2)*1e2+tmp1(3);
120     hms=tmp1(4)*1e4+tmp1(5)*1e2+tmp1(6);
121    
122     imonth=tmp1(2);
123    
124     lat=LATITUDE(m);
125     lon=LONGITUDE(m); if lon < 0; lon=lon+360;end;
126    
127     ilon=find(((vec_lon-lon).^2)==min((vec_lon-lon).^2)); ilon=ilon(1);
128     ilat=find(((vec_lat-lat).^2)==min((vec_lat-lat).^2)); ilat=ilat(1);
129    
130     direc=0;if(DIRECTION(m)=='A');direc=1;end;if(DIRECTION(m)=='D');direc=2;end
131    
132     pnum_txt=deblank(PLATFORM_NUMBER(m,:)); pnum_txt=pnum_txt(pnum_txt~=PLATFORM_NUMBER_fillval);
133     pnum=double(pnum_txt); pnum=pnum(find(pnum>=48&pnum<=57)); pnum=str2num(char(pnum));
134    
135     if isempty(pnum); pnum_txt='9999'; pnum=9999; end;
136    
137     %observations
138    
139     p=PRES_ADJUSTED(m,:);
140     p_QC=PRES_ADJUSTED_QC(m,:);
141     if isempty(find(p~=PRES_fillval)); p=PRES(m,:); p_QC=PRES_QC(m,:); end
142    
143     tmp1=find(isnan(p)); p(tmp1)=PRES_fillval; p_QC(tmp1)='5';
144     for n=1:length(p)-1;
145     tmp1=find(p(n+1:end)==p(n)&p(n+1:end)~=PRES_fillval);
146     p(n+tmp1)=PRES_fillval;p_QC(n+tmp1)='5';
147     end
148    
149     bad_P=0;
150     tmp1=find(p_QC=='4');
151     if(length(tmp1)<=5);
152     %get rid of these few bad points and keep the profile
153     p(tmp1)=PRES_fillval;p_QC(tmp1)='5';
154     else;
155     %flag the profile (will be masked in the main file)
156     %but keep the bad points (to interp and be able to CHECK)
157     bad_P=1;
158     end;
159    
160     if TEMP(m,1) ~= 8888
161     t=TEMP_ADJUSTED(m,:);
162     t_QC=TEMP_ADJUSTED_QC(m,:);
163     t_ERR=TEMP_ADJUSTED_ERROR(m,:);tf=find(t_ERR==TEMP_fillval|isnan(t_ERR));t_ERR(tf)=0;
164     if isempty(find(t~=TEMP_fillval)); t=TEMP(m,:); t_QC=TEMP_QC(m,:); end
165     end
166    
167     if PSAL(m,1) ~= 8888
168     s=PSAL_ADJUSTED(m,:);
169     s_QC=PSAL_ADJUSTED_QC(m,:);
170     s_ERR=PSAL_ADJUSTED_ERROR(m,:);sf=find(s_ERR==PSAL_fillval|isnan(s_ERR));,s_ERR(sf)=0;
171     if isempty(find(s~=PSAL_fillval)); s=PSAL(m,:); s_QC=PSAL_QC(m,:); end
172     end
173    
174     %convert pressure to depth (if necessary)
175     if PfromPtoZ
176     tmp1=find((p~=PRES_fillval)&(~isnan(p)));
177     if ~isempty(tmp1); p( tmp1 ) = find_depth(p(tmp1),lat); end;
178     end
179    
180     %interpolation for T :
181     z_std=dmod; t_std=NaN*z_std; tE_std=t_std;
182     if TEMP(m,1) ~= 8888
183     tmp1=find((t_QC=='1'|t_QC=='2') & (p~=PRES_fillval&~isnan(p)));
184     z_in=p(tmp1); t_in=t(tmp1); tE_in=t_ERR(tmp1);
185     if length(t_in)>5 %...expected to avoid isolated values
186     t_std = interp1(z_in,t_in,z_std);
187     t_std=profiles_prep_test_interp(t_std,z_std,z_in,NaN);
188     tE_std = interp1(z_in,tE_in,z_std);
189     tE_std=profiles_prep_test_interp(tE_std,z_std,z_in,NaN);
190     end
191     end%z_std=gdept; t_std=NaN*z_std;
192     t_std(find(isnan(t_std)))=fill_value_output;
193     tE_std(find(isnan(tE_std)))=fill_value_output;
194    
195     %interpolation for S :
196     z_std=dmod; s_std=NaN*z_std; sE_std=s_std;
197     if PSAL(m,1) ~= 8888
198     tmp1=find((s_QC=='1'|s_QC=='2') & (p~=PRES_fillval&~isnan(p)));
199     z_in=p(tmp1); s_in=s(tmp1); sE_in=s_ERR(tmp1);
200     if length(s_in)>5
201     s_std = interp1(z_in,s_in,z_std);
202     s_std=profiles_prep_test_interp(s_std,z_std,z_in,NaN);
203     sE_std = interp1(z_in,sE_in,z_std);
204     sE_std=profiles_prep_test_interp(sE_std,z_std,z_in,NaN);
205     end
206     end%if PSAL(m,1) ~= 8888
207     s_std(find(isnan(s_std)))=fill_value_output;
208     sE_std(find(isnan(sE_std)))=fill_value_output;
209    
210     %convert T in situ to T potential (if necessary)
211     if TfromINSITUtoPOT
212     tmpP=0.981*1.027*dmod; tmpS=35*ones(size(t_std));
213     tmpIND=find(t_std~=fill_value_output);
214     if ~isempty(tmpIND)
215     t_std(tmpIND)=sw_ptmp(tmpS(tmpIND),t_std(tmpIND),tmpP(tmpIND),0);
216     end
217     end
218    
219    
220     %attribute weights: (modified later in profiles_prep_write_nc)
221     %
222     % by assumption: the uncertainty field contains non-zero values
223     % (which avoid the complication of handling horiz interpolation here)
224     % and we do not mask the data (the model will do this, given a mask)
225     %
226     t_w = squeeze(T_weights(ilon,ilat,:)); t_w = interp1(dmod_ref',t_w',dmod')'.^2;
227     tmp1=find(tE_std~=fill_value_output); t_w(tmp1)=t_w(tmp1)+tE_std(tmp1).^2;
228     s_w = squeeze(S_weights(ilon,ilat,:)); s_w = interp1(dmod_ref',s_w',dmod')'.^2;
229     tmp1=find(sE_std~=fill_value_output); s_w(tmp1)=s_w(tmp1)+sE_std(tmp1).^2;
230     t_w=t_w.^-1; s_w=s_w.^-1;
231    
232     if ~isempty(find(isnan(t_w.*s_w))); fprintf('error in weighting'); return; end;
233    
234    
235     %tests of the data values :
236     %--------------------------
237     % t_test>0 or s_test>0 implies the data value is rejected,
238     % the value of t_test indicates on what criterium
239     t_test=zeros(size(t_std)); s_test=t_test;
240    
241     %test of the extreme latitudes :
242     if abs(lat)>79; t_test(:)=1; s_test(:)=1; end;
243    
244     %test of "absurd" salinity values : test
245     s_test(find( (s_std>42)&(s_std~=fill_value_output) ))=2;
246     s_test(find( (s_std<25)&(s_std~=fill_value_output) ))=2;
247    
248     %tests of doubtful profilers :
249     %profiles_prep_test_profiler2;
250     %profiles_prep_test_profiler3;
251     %profiles_prep_test_profiler4;
252    
253     %tests of the cost VS the climatology :
254     profiles_prep_test_atlas(50);
255    
256     %bad pressure flag:
257     if bad_P==1; t_test(:)=6; s_test(:)=6; end;
258    
259     %store/write results:
260     profiles_prep_write_nc(1);
261    
262     end % LOCATION LOOP
263     end %if ( rep_nb~=1|isempty(findstr(name,'20050911_prof') )
264     end % FILE LOOP
265     profiles_prep_write_nc(2);
266     end%for rep_nb=1:3
267    
268    

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