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gforget |
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function []=diags_grid_parms(listTimes); |
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%object : load grid, set params, and save both to dirMat |
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%input : listTimes is the time list obtained from diags_list_times |
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%global variables |
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gcmfaces_global; |
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global myparms; |
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%load grid |
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if isempty(dir('GRID')); |
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dirGrid=input('grid directory?\n'); |
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else; |
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dirGrid='GRID/' |
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end; |
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grid_load(dirGrid,5,'compact'); |
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%set default for model run parameters |
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myparms=default_parms; |
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%allow user to change model params if necessary |
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myparms=review_parms(myparms,listTimes); |
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function [parms]=default_parms(); |
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%set model parameters to default (ecco_v4) |
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%parms.yearFirst=1948; %first year covered by model integration |
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%parms.yearLast =2007; %last year covered by model integration |
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parms.yearFirst=1992; %first year covered by model integration |
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parms.yearLast =2010; %last year covered by model integration |
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parms.yearInAve=[parms.yearFirst parms.yearLast]; %period for time averages and variance computations |
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parms.timeStep =3600; %model time step for tracers |
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parms.iceModel =1;%0=use freezing point 1=use pkg/seaice 2=use pkg/thsice |
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parms.useRFWF =1;%1=real fresh water flux 0=virtual salt flux |
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parms.useNLFS =2;%2=rstar 1=nlfs 0=linear free surface |
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parms.rhoconst =1029; %sea water density |
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parms.rcp =3994*parms.rhoconst; % sea water rho X heat capacity |
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parms.rhoi = 910; %sea ice density |
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parms.rhosn = 330; %snow density |
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parms.flami = 3.34e05; % latent heat of fusion of ice/snow (J/kg) |
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parms.flamb = 2.50e06; % latent heat of evaporation (J/kg) |
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parms.SIsal0 =4; |
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function [parms]=review_parms(parms,listTimes); |
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%review model parameters, correct them if needed, and check a couple more things |
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test1=1;%so that we print params at least once |
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while test1; |
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fprintf('\n\n'); |
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gcmfaces_msg('model parameters summary','==== '); |
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tmp1=sprintf('parms.yearFirst = %i (first year covered by model integration)',parms.yearFirst); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.yearLast = %i (first year covered by model integration)',parms.yearLast); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.yearInAve = [%i %i] (time mean and variance years)',parms.yearInAve); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.timeStep = %i (model time step for tracers)',parms.timeStep); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.iceModel = %i (0=freezing point 1=pkg/seaice 2=pkg/thsice)',parms.iceModel); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.useRFWF = %i (1=real fresh water flux 0=virtual salt flux)',parms.useRFWF); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.useNLFS = %i; (2=rstar 1=nlfs 0=linear free surface)',parms.useNLFS); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.rhoconst = %0.6g (sea water density)',parms.rhoconst); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.rcp = %0.6g (sea water density X heat capacity)',parms.rcp); gcmfaces_msg(tmp1,'== '); |
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if parms.iceModel==1; |
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tmp1=sprintf('parms.rhoi = %0.6g (sea ice density)',parms.rhoi); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.rhosn = %0.6g (snow density)',parms.rhosn); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.flami = %0.6g (latent heat of fusion of ice/snow in J/kg)',parms.flami); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.flamb = %0.6g (latent heat of evaporation in J/kg)',parms.flamb); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.SIsal0 = %0.6g (sea ice constant salinity)',parms.SIsal0); gcmfaces_msg(tmp1,'== '); |
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%tmp1=sprintf('',); gcmfaces_msg(tmp1,'== '); |
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else; |
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error('only parms.iceModel=1 is currently treated\n'); |
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end; |
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gcmfaces_msg('to change a param type e.g. ''parms.yearFirst=1;'' or hit return if all params are ok. Change a param?','==== '); |
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tmp1=input(''); |
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test1=~isempty(tmp1); %so that we change param and iterate process |
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if test1; eval(tmp1); end; |
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end; |
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%determine a few more things about the diagnostic time axis |
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fprintf('\n\n'); |
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parms.diagsNbRec=length(listTimes); |
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test1=median(diff(listTimes)*parms.timeStep/86400); |
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if abs(test1-30.5)<1; parms.diagsAreMonthly=1; else; parms.diagsAreMonthly=0; end; |
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if abs(test1-365.25)<1; parms.diagsAreAnnual=1; else; parms.diagsAreAnnual=0; end; |
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tmp1=sprintf('parms.diagsNbRec = %i (number of records, based on model output files)',parms.diagsNbRec); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.diagsAreMonthly = %i (0/1 = false/true; based on output frequency)',parms.diagsAreMonthly); gcmfaces_msg(tmp1,'== '); |
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tmp1=sprintf('parms.diagsAreAnnual = %i (0/1 = false/true; based on output frequency)',parms.diagsAreAnnual); gcmfaces_msg(tmp1,'== '); |
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gcmfaces_msg('hit return if this seems correct otherwise stop here','== '); test0=input(''); if ~isempty(test0); error('likely dir problem'); end; |
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listTimes2=parms.yearFirst+listTimes*parms.timeStep/86400/365.25;%this approximation of course makes things simpler |
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tmp1=-0.5*diff(listTimes,1,1)*parms.timeStep/86400/365.25; tmp1=[median(tmp1);tmp1]; |
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listTimes2=listTimes2+tmp1;%this converts the enddate to the middate of pkg/diags |
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ii=find(listTimes2>=parms.yearInAve(1)&listTimes2<=parms.yearInAve(2)+1); |
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if parms.diagsAreMonthly;%then restrict to full years |
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ni=floor(length(ii)/12)*12; parms.recInAve=[ii(1) ii(floor(ni))]; |
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elseif ~isempty(ii); |
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parms.recInAve=[ii(1) ii(end)]; |
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else; |
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parms.recInAve=[1 1]; |
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end; |
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tmp1=sprintf('parms.recInAve = [%i %i] (time mean and variance records)',parms.recInAve); gcmfaces_msg(tmp1,'== '); |
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fprintf('\n\n'); |
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