[MITgcm-support] Climtological run
Martin Losch
Martin.Losch at awi.de
Thu Jun 17 09:59:19 EDT 2010
Hi,
it takes much longer than 100 years to equilibrate an ocean model. It's more like 1,000-10,000 years, see the published literature for that. I recommend Danabasoglu (2004 in Ocean Modelling 7:323-341) as a starting point.
I recommend that you do not use monthly output for 2 and 3D fields (set dumpFreq/taveFreq=0) and only use the monitor output for monitoring the spin-up. But you should set your monitorFreq to something like 10-30 days (not 10.) so that you'll have monitor-output only every 50 time steps or so. This will already speed up your inegration a lot.
To further reduce the output the minimum you need you can use the diagnostics package, see examples and documentation for that.
Good luck,
Martin
On Jun 17, 2010, at 2:21 PM, anuradha.modi at iccsir.org wrote:
> Dear Users,
>
> I am new to the Ocean modelling.
> Recently I successfully installed the MIT-OGCM model on my workstation ( Interl core-2 Quad, Redhat Linux).
> After that I run the model for 100 years using climatological data, by changing the data file as follows
> # Time stepping parameters
> &PARM03
> startTime = 0.,
> endtime = 3110400000.,
> deltaTmom = 1800.,
> deltaTtracer = 10800.,
> deltaTClock = 10800.,
> tauCD = 36000.,
> abEps = 0.1,
> #cAdjFreq = -1,
> cAdjFreq = 0,
> pChkptFreq = 311040000.,
> chkptFreq = 311040000.,
> dumpFreq = 2592000.,
> taveFreq =2592000.,
> dumpMean =2592000.,
> tauThetaClimRelax = 864000.,
> #tauThetaClimRelax = ,
> tauSaltClimRelax = 2592000.,
> monitorFreq = 10.,
> periodicExternalForcing= .TRUE.,
> externForcingPeriod = 2592000.,
> externForcingCycle = 3110400
>
> And written the output for every one month, It took almost 6 days for running.
> After that I plotted the variables like Temperature, Salinity Timeseries and I feel that model is not stable yet (Timeseries Figure attached)
>
> So, Now I gave a 300year run by changing
> startTime = 0.,
> endtime = 9331200000.,
>
> How to decide that the model become stable or not? ( By seeing the Timeseries figure whether we can decide model is stable or not?)
>
> Please help me.......
>
> Regards
> Anuradha Modi
> India
>
>
> <model-temp-son-mean.png><model-sal-son-mean.png>_______________________________________________
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