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view on githubraw file Latest commit 3c3b2f91 on 2013-01-23 17:10:52 UTC
3c3b2f914f Ian *0001 HOW TO RUN AND ANALYZE A 11,000 TIME STEP EXPERIMENT
                0002 JAN 23, 2013
                0003 
                0004 MITgcm checkpoint 64c.  
                0005 seaice_growth.F version: 1.185 (2012/12/27)
                0006 
                0007 1) Make the following changes to the input_ad/data* files 
                0008 for the 11,000 time step simulation.
                0009 
                0010 a) data 
                0011 
                0012 >  nTimeSteps= 11000,
                0013 >  monitorFreq=0.
                0014 >  adjMonitorFreq = 1.,
                0015 
                0016 b) data.autodiff 
                0017 
                0018 >   useKPPinAdMode = .FALSE.,
                0019 
                0020 c) data.diagnostics
                0021 
                0022 >   frequency(1)  = 86400,
                0023 >   fields(1,1)   = 'EXFuwind','EXFvwind','EXFlwdn', 'EXFswdn','EXFatemp','EXFaqh','EXFevap','EXFpreci','EXFempmr','EXFhl   ','EXFhs   ',
                0024 >   filename(1)   = 'EXF_avg_daily',
                0025 
                0026 >   frequency(2)  = 86400,
                0027 >   fields(1:3,2)   = 'SIarea  ','SIheff  ','SIhsnow ',
                0028 >   filename(2)   = 'ICE_avg_daily',
                0029 
                0030 d) data.pkg
                0031 
                0032 >   useGrdchk = .FALSE.,
                0033 >   useMNC    = .TRUE,
                0034 >   useDiagnostics = .TRUE.,
                0035 
                0036 
                0037 2) Make the following changes to packages.conf in code_ad:
                0038 
                0039 a) packages.conf 
                0040 
                0041 > diagnostics
                0042 > mnc
                0043 
                0044 
                0045 3) After running, use the two matlab scripts (analyze_forward_run_general.m, analyze_adjoint_run_general.m) in ./matlab_scripts to plot the results.  Be sure that the helper script, 'tenPercentAboveBelowLeftRight.m' is in your matlab path.