/[MITgcm]/MITgcm/verification/tutorial_global_oce_latlon/diags_matlab/mit_loadglobaldata.m
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Revision 1.3 - (hide annotations) (download)
Sat Aug 12 20:25:13 2006 UTC (17 years, 9 months ago) by jmc
Branch: MAIN
CVS Tags: checkpoint64y, checkpoint64x, checkpoint64z, checkpoint64q, checkpoint64p, checkpoint64s, checkpoint64r, checkpoint64u, checkpoint64t, checkpoint64w, checkpoint64v, checkpoint64i, checkpoint64h, checkpoint64k, checkpoint64j, checkpoint64m, checkpoint64l, checkpoint64o, checkpoint64n, checkpoint64a, checkpoint64c, checkpoint64b, checkpoint64e, checkpoint64d, checkpoint64g, checkpoint64f, checkpoint58u_post, checkpoint58w_post, checkpoint63p, checkpoint63q, checkpoint63r, checkpoint63s, checkpoint63l, checkpoint63m, checkpoint63n, checkpoint63o, checkpoint63h, checkpoint63i, checkpoint63j, checkpoint63k, checkpoint63d, checkpoint63e, checkpoint63f, checkpoint63g, checkpoint63a, checkpoint63b, checkpoint63c, checkpoint64, checkpoint65, checkpoint60, checkpoint61, checkpoint62, checkpoint63, checkpoint58r_post, checkpoint66g, checkpoint66f, checkpoint66e, checkpoint66d, checkpoint66c, checkpoint66b, checkpoint66a, checkpoint66o, checkpoint66n, checkpoint66m, checkpoint66l, checkpoint66k, checkpoint66j, checkpoint66i, checkpoint66h, checkpoint58n_post, checkpoint58x_post, checkpoint58t_post, checkpoint65z, checkpoint65x, checkpoint65y, checkpoint65r, checkpoint65s, checkpoint65p, checkpoint65q, checkpoint65v, checkpoint65w, checkpoint65t, checkpoint65u, checkpoint65j, checkpoint65k, checkpoint65h, checkpoint65i, checkpoint65n, checkpoint65o, checkpoint65l, checkpoint65m, checkpoint65b, checkpoint65c, checkpoint65a, checkpoint65f, checkpoint65g, checkpoint65d, checkpoint65e, checkpoint58q_post, checkpoint59q, checkpoint59p, checkpoint59r, checkpoint59e, checkpoint59d, checkpoint59g, checkpoint59f, checkpoint59a, checkpoint59c, checkpoint59b, checkpoint59m, checkpoint59l, checkpoint59o, checkpoint59n, checkpoint59i, checkpoint59h, checkpoint59k, checkpoint59j, checkpoint59, checkpoint58o_post, checkpoint62c, checkpoint62b, checkpoint62a, checkpoint62g, checkpoint62f, checkpoint62e, checkpoint62d, checkpoint62k, checkpoint62j, checkpoint62i, checkpoint62h, checkpoint62o, checkpoint62n, checkpoint62m, checkpoint62l, checkpoint62s, checkpoint62r, checkpoint62q, checkpoint62p, checkpoint62w, checkpoint62v, checkpoint62u, checkpoint62t, checkpoint62z, checkpoint62y, checkpoint62x, checkpoint58y_post, checkpoint58v_post, checkpoint58s_post, checkpoint61f, checkpoint61g, checkpoint61d, checkpoint61e, checkpoint61b, checkpoint61c, checkpoint58p_post, checkpoint61a, checkpoint61n, checkpoint61o, checkpoint61l, checkpoint61m, checkpoint61j, checkpoint61k, checkpoint61h, checkpoint61i, checkpoint61v, checkpoint61w, checkpoint61t, checkpoint61u, checkpoint61r, checkpoint61s, checkpoint61p, checkpoint61q, checkpoint61z, checkpoint61x, checkpoint61y, HEAD
Changes since 1.2: +1 -1 lines 
accidentally removed ; put them back.
1 jmc 1.1 % m-file: mit_loadglobaldata.m
2     % read all the data files for the 4x4 global run and take time averages
3     % of it
4 jmc 1.3 % $Header: $
5 jmc 1.1 % $Name: $
6    
7     precision = mit_getparm('data','readBinaryPrec');
8     if isempty(precision); precision = 32.; end
9     if precision == 32
10     acc = 'real*4';
11     elseif precision == 64;
12     acc = 'real*8';
13     else
14     error('readBinaryPrec contains unknown precision')
15     end
16    
17     nx = grd.nx;
18     ny = grd.ny;
19     nz = grd.nz;
20    
21     % load restoring fields and compute annual mean
22     thetaClimFile = mit_getparm('data','thetaClimFile');
23     if isempty(thetaClimFile) | thetaClimFile == ' ';
24     tdmean = repmat(NaN,size(grd.hfacc(:,:,1)));
25     else
26     tdmean = squeeze(mean(mit_readfield(thetaClimFile,[nx ny 12],acc),3));
27     end
28     saltClimFile = mit_getparm('data','saltClimFile');
29     if isempty(saltClimFile) | saltClimFile == ' ';
30     sdmean = repmat(NaN,size(grd.hfacc(:,:,1)));
31     else
32     sdmean = squeeze(mean(mit_readfield(saltClimFile,[nx ny 12],acc),3));
33     end
34     EmPmRFile = mit_getparm('data','EmPmRFile');
35     if isempty(EmPmRFile) | EmPmRFile == ' ';
36     empr = repmat(NaN,nx,ny);
37     else
38     empr = squeeze(mean(mit_readfield(EmPmRFile,[nx ny 12],acc),3));
39     end
40     empr = change(empr,'==',0,NaN);
41     surfQFile = mit_getparm('data','surfQFile');
42     if isempty(surfQFile) | surfQFile == ' ';
43     qnet = repmat(NaN,nx,ny);
44     else
45     qnet = squeeze(mean(mit_readfield(surfQFile,[nx ny 12],acc),3));
46     end
47     qnet = change(qnet,'==',0,NaN);
48     thetaFile = mit_getparm('data','hydrogThetaFile');
49     if isempty(thetaFile) | thetaFile == ' ';
50     tdatamean = repmat(NaN,size(grd.hfacc));
51     else
52     tdatamean = squeeze(mean(mit_readfield(thetaFile,[nx ny nz 12],acc),4));
53     end
54     msgbin = dir('sal.bin');
55     saltFile = mit_getparm('data','hydrogSaltFile');
56     if isempty(saltFile) | saltFile == ' ';
57     sdatamean = repmat(NaN,size(grd.hfacc));
58     else
59     sdatamean = squeeze(mean(mit_readfield(saltFile,[nx ny nz 12],acc),4));
60     end
61    
62     if ~strcmp(grd.buoyancy,'OCEANIC');
63     sdatamean = sdatamean(:,:,end:-1:1);
64     tdatamean = tdatamean(:,:,end:-1:1);
65     end
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