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gforget |
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function []=example_budget(choiceV3orV4); |
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%object: illustrates budget analysis |
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%inputs: choiceV3orV4 ('v3' or 'v4') selects the sample GRID |
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gcmfaces_global; |
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if myenv.verbose>0; |
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gcmfaces_msg('==============================================='); |
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gcmfaces_msg(['*** entering example_budget ' ... |
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'that will load a set of budget terms from file ' ... |
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'and compute a series of derived diagnostics '],''); |
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end; |
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%%%%%%%%%%%%%%%%% |
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%load parameters: |
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%%%%%%%%%%%%%%%%% |
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if myenv.verbose>0; |
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gcmfaces_msg('* set grid files path and format, and number of faces for this grid'); |
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end; |
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myenv.nctiles=1; |
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if strcmp(choiceV3orV4,'v4'); |
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nF=5; |
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fileFormat='compact'; |
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dir0=fullfile([myenv.gcmfaces_dir '../']); |
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dirGrid=fullfile(dir0,'GRID/'); |
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myenv.nctilesdir=fullfile(dir0,'release1/nctiles_budget/'); |
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else; |
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error('files are missing'); |
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nF=1; |
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dir0=fullfile(myenv.gcmfaces_dir,'sample_input/'); |
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fileFormat='straight'; |
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dirGrid=fullfile(dir0,'grid_occa/'); |
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myenv.nctilesdir=fullfile(dir0,'nctiles_occa/'); |
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end; |
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if myenv.verbose>0; |
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gcmfaces_msg('* call grid_load : load grid to memory (mygrid) according to'); |
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gcmfaces_msg(['dirGrid = ' dirGrid],' '); |
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gcmfaces_msg(['nFaces = ' num2str(nF)],' '); |
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gcmfaces_msg(['fileFormat = ' fileFormat],' '); |
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% fprintf([' > dirGrid = ' dirGrid '\n']); |
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end; |
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%%%%%%%%%%%%%%%%%% |
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%main computation: |
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%%%%%%%%%%%%%%%%%% |
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%select budget of interest |
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nameBudg='budgMo'; |
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%load budget terms |
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fileName=[myenv.nctilesdir nameBudg filesep nameBudg(1:6)]; |
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tend=read_nctiles(fileName,'tend'); |
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trU=read_nctiles(fileName,'trU'); |
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trV=read_nctiles(fileName,'trV'); |
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trWtop=read_nctiles(fileName,'trWtop'); |
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trWbot=read_nctiles(fileName,'trWbot'); |
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%load dt (time increments) vector (not a gcmfaces object) |
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ncload([fileName '.0001.nc'],'dt'); |
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%get budget descitption and units |
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ncid = netcdf.open([fileName '.0001.nc'],'NC_NOWRITE'); |
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descr = netcdf.getAtt(ncid,netcdf.getConstant('NC_GLOBAL'),'description'); |
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varid = netcdf.inqVarID(ncid,'tend'); |
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units = netcdf.getAtt(ncid,varid,'units'); |
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netcdf.close(ncid); |
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%define northern hemisphere as domain of integration |
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nameMask='Northern Hemisphere'; |
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mask=mygrid.mskC(:,:,1).*(mygrid.YC>0); |
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areaMask=mygrid.RAC.*mask; |
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%edit plot title accordingly |
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tmp1=strfind(descr,'-- ECCO v4'); |
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descr=[descr(1:tmp1-1) 'for: ' nameMask]; |
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%compute northern hemisphere integrals |
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budg.tend=NaN*dt; |
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budg.hconv=NaN*dt; |
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budg.zconv=NaN*dt; |
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for tt=1:length(dt); |
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%compute flux convergence |
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hconv=calc_UV_conv(trU(:,:,tt),trV(:,:,tt)); |
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zconv=trWtop(:,:,tt)-trWbot(:,:,tt); |
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%compute sum over domain |
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budg.tend(tt)=nansum(tend(:,:,tt).*mask)/nansum(areaMask); |
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budg.hconv(tt)=nansum(hconv.*mask)/nansum(areaMask); |
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budg.zconv(tt)=nansum(zconv.*mask)/nansum(areaMask); |
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end; |
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%display result |
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figureL; |
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subplot(3,1,1); set(gca,'FontSize',12); |
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plot(cumsum(dt.*budg.tend)); |
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grid on; xlabel('month'); ylabel([units '.s']); |
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legend('content anomaly'); title(descr); |
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subplot(3,1,2); set(gca,'FontSize',12); |
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plot(cumsum(dt.*budg.tend)); hold on; |
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plot(cumsum(dt.*budg.hconv),'r'); |
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plot(cumsum(dt.*budg.zconv),'g'); |
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grid on; xlabel('month'); ylabel([units '.s']); |
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legend('content anomaly','horizontal convergence','vertical convergence'); |
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subplot(3,1,3); set(gca,'FontSize',12); |
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plot(cumsum(dt.*(budg.tend-budg.hconv-budg.zconv))); |
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grid on; xlabel('month'); ylabel([units '.s']); |
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legend('budget residual'); |
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