/[MITgcm]/MITgcm_contrib/gael/profilesMatlabProcessing/profiles_prep_load_fields.m
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Contents of /MITgcm_contrib/gael/profilesMatlabProcessing/profiles_prep_load_fields.m

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Revision 1.2 - (show annotations) (download)
Thu May 13 19:56:35 2010 UTC (14 years ago) by gforget
Branch: MAIN
CVS Tags: HEAD
Changes since 1.1: +0 -0 lines
FILE REMOVED
moving to profiles_process_main_v1

1
2
3 global dmod_ref vec_lon vec_lat tmask3D;
4 global T_climatology S_climatology T_climatology2 S_climatology2;
5 global T_climatology3 S_climatology3 T_climatology4 S_climatology4;
6 global T_weights S_weights;
7
8 if isempty(T_climatology)
9
10 % a) ECCOv2 depth levels
11 dmod_ref=1.0e+03 * [ 0.0050 0.0150 0.0275 0.0450 0.0650 0.0875 0.1175 ...
12 0.1600 0.2225 0.3100 0.4350 0.6100 0.8475 1.1600 1.5425 1.9750 ...
13 2.4500 2.9500 3.4500 3.9500 4.4500 4.9500 5.4500 ];
14
15 % b) ECCOv2 grid point coordinates :
16 vec_lon=[0.5:359.5]; vec_lat=[-79.5:79.5];
17
18 % c) load (ECCOv2-grid) monthly atlases :
19 rep_clim='/bay/data1/king/GOURETSKI_climatology/gridded/outliers/', rep_clim2='/bay/data1/king/NCEP_model/LEVITUS/',
20 rep_clim3='/raid0/gforget/DATAbin/HYDROatlases/woa2005/',rep_clim4='/net/ross/raid2/gforget/gaelmodel0406clim/',
21 T_climatology=zeros(12,360,160,23); S_climatology=T_climatology;
22 T_climatology2=zeros(12,360,160,23); S_climatology2=T_climatology2;
23 T_climatology3=zeros(12,360,160,23); S_climatology3=T_climatology3;
24 T_climatology4=zeros(12,360,160,23); S_climatology4=T_climatology4;
25 fid0=fopen([rep_clim 'LEV_wghc_ptmp_r4'],'r','b');
26 fid1=fopen([rep_clim 'LEV_wghc_salt_r4'],'r','b');
27 fid02=fopen([rep_clim2 'LEVITUS_1x1_ptmp_NEW_corK'],'r','b');
28 fid12=fopen([rep_clim2 'LEVITUS_1x1_salt_NEW_corK'],'r','b');
29 fid03=fopen([rep_clim3 'wod05_ptmp23'],'r','b');
30 fid13=fopen([rep_clim3 'wod05_salt23'],'r','b');
31 fid04=fopen([rep_clim4 'gm0406_ptmp23'],'r','b');
32 fid14=fopen([rep_clim4 'gm0406_salt23'],'r','b');
33 for tcur=1:12
34 field_tmp=fread(fid0,[360 160*23],'float32');
35 T_climatology(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
36 field_tmp=fread(fid1,[360 160*23],'float32');
37 S_climatology(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
38 field_tmp=fread(fid02,[360 160*23],'float32');
39 T_climatology2(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
40 field_tmp=fread(fid12,[360 160*23],'float32');
41 S_climatology2(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
42 field_tmp=fread(fid03,[360 160*23],'float32');
43 T_climatology3(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
44 field_tmp=fread(fid13,[360 160*23],'float32');
45 S_climatology3(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
46 field_tmp=fread(fid04,[360 160*23],'float32');
47 T_climatology4(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
48 field_tmp=fread(fid14,[360 160*23],'float32');
49 S_climatology4(tcur,:,:,:)=reshape(field_tmp,[360 160 23]);
50 end%for tcur=1:12
51 fclose(fid0);fclose(fid1); fclose(fid02);fclose(fid12);
52 fclose(fid03);fclose(fid13); fclose(fid04);fclose(fid14);
53
54 test1=find((T_climatology.*S_climatology)==0);
55 T_climatology(test1)=NaN; S_climatology(test1)=NaN;
56 test1=find((T_climatology2.*S_climatology2)==0);
57 T_climatology2(test1)=NaN; S_climatology2(test1)=NaN;
58 test1=find((T_climatology3.*S_climatology3)==0);
59 T_climatology3(test1)=NaN; S_climatology3(test1)=NaN;
60 test1=find((T_climatology4.*S_climatology4)==0);
61 T_climatology4(test1)=NaN; S_climatology4(test1)=NaN;
62
63 % d) load (ECCOv2-grid) monthly atlases :
64 %
65 % by assumption: the uncertainty field contains non-zero values
66 % (which avoid the complication of handling horiz interpolation here)
67 % and we do not mask the data (the model will do this, given a mask)
68 rep_weight='/net/ross/raid0/gforget/MYweights/';
69 T_weights=zeros(360,160,23); S_weights=T_weights;
70 fid0=fopen([rep_weight 'wvar_Tr3.bin'],'r','b');
71 fid1=fopen([rep_weight 'wvar_Sr3.bin'],'r','b');
72 field_tmp=fread(fid0,[360 160*23],'float32');
73 T_weights=reshape(field_tmp,[360 160 23]);
74 field_tmp=fread(fid1,[360 160*23],'float32');
75 S_weights=reshape(field_tmp,[360 160 23]);
76
77 % e) compute mask for tests:
78 tmask3D=squeeze(mean(S_climatology,1)).*squeeze(mean(S_climatology2,1)).*...
79 squeeze(mean(S_climatology3,1)).*squeeze(mean(S_climatology4,1)).*...
80 squeeze(mean(T_climatology,1)).*squeeze(mean(T_climatology2,1)).*...
81 squeeze(mean(T_climatology3,1)).*squeeze(mean(T_climatology4,1));
82 tmask3D(find(~isnan(tmask3D)))=1;
83
84 for tcur=1:12
85 T_climatology(tcur,:,:,:)=squeeze(T_climatology(tcur,:,:,:)).*tmask3D; S_climatology(tcur,:,:,:)=squeeze(S_climatology(tcur,:,:,:)).*tmask3D;
86 T_climatology2(tcur,:,:,:)=squeeze(T_climatology2(tcur,:,:,:)).*tmask3D; S_climatology2(tcur,:,:,:)=squeeze(S_climatology2(tcur,:,:,:)).*tmask3D;
87 T_climatology3(tcur,:,:,:)=squeeze(T_climatology3(tcur,:,:,:)).*tmask3D; S_climatology3(tcur,:,:,:)=squeeze(S_climatology3(tcur,:,:,:)).*tmask3D;
88 T_climatology4(tcur,:,:,:)=squeeze(T_climatology4(tcur,:,:,:)).*tmask3D; S_climatology4(tcur,:,:,:)=squeeze(S_climatology4(tcur,:,:,:)).*tmask3D;
89 end
90
91 end
92

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