[MITgcm-support] how to write

[Nataliya Stashchuk]

Hi Jean-Michel,

I tried to follow your advice and found that I still have some questions.
I am interesting what value of velocity would be in point x=199500 with time.
Here is my file:

&DIAG_STATIS_PARMS
#- regional mask: band: 1 : x <= 199500 ; 2 : x == 199500
 diagSt_regMaskFile='region1.bin',
 nSetRegMskFile=1,
 set_regMask(1)= 1,  
 val_regMask(1)= 2., 
#- an example just to check the agreement with MONITOR output:
 stat_fields(1,1)= 'UVEL    ',
 stat_fname(1)= 'u2',
     stat_freq(1)= 25,
    stat_phase(1)= 0.,
&

1) It seems to me that the programme does not understand where my point is.

My matlab file is:

prec='real*8';
ieee='b';
nx=1024;
ny=1;
nz=85;
xc=rdmds('XC');
regMsk=ones(size(xc));
regMsk(find (199500 == xc))=2;
fid=fopen('region1.bin','w',ieee); fwrite(fid,regMsk,prec); fclose(fid);

2) My output file gives following: Average, Std.Dev, min, max, Vol. Where should be the data for my point?
3) I use 85 levels in vertical. In my output I need to know velocity at 2 or three levels. How I can organize this?

Many thanks,

Nataliya

-----Original Message-----
From: Jean-Michel Campin [mailto:jmc at ocean.mit.edu] 
Sent: 27 October 2010 20:45
To: mitgcm-support at mitgcm.org
Subject: Re: [MITgcm-support] how to write

Hi Nataliya,

You can use the STATDIAGS (part of diagnostics pkg) with a region
that cover only 1 grid point and, setting the stat_freq equal to
the time-step, will produce output at 1 grid point every time-step.
This is not well documented in the manual, but there is an example
using STATDIAGS in: verification/aim.5l_cs/input.thSI
can check data.diagnostics there and matlab script mk3regions_mask.m 

Thanks,
Jean-Michel

On Wed, Oct 27, 2010 at 07:28:20PM +0100, Nataliya Stashchuk wrote:
> Dear mitgcm users,
> 
> Can you give me an advise how to arrange an output file which should contain a physical value, i.e. velocity, for instance, in a single specific point, but written at every temporal step, i.e.  with delT frequency?  I need this time series for a spectral analysis.
> 
> Thank you,
> 
> Nataliya

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> MITgcm-support at mitgcm.org
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