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% |
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% $Id: assemble_ML.m,v 1.7 2006/03/14 03:10:42 edhill Exp $ |
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% |
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% Ed Hill |
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% |
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% Generate the APE ML01--ML07 and ME01--ME07 fields: |
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% |
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% For all time steps: |
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% For all variables: |
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% For all facets: |
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% interpolate to the P17 pressure levels: |
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% compute the "derived" fields: |
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% sum: |
| 14 |
% Compute the averages from the sums: |
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% Rotate vector components as necessary: |
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% Convert units as necessary: |
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% Regrid onto lat-lon: |
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% Write netCDF output with all attributes: |
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% |
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|
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%====================================================================== |
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% |
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% Define the connections between the APE "ML" variables and the |
| 24 |
% MITgcm diagnostics output |
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% |
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nfacets = 6; |
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% bname = 'data/MLave.t%03d.nc'; |
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bname = 'data/ML_ave_%d.nc'; |
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gname = 'data/grid.t%03d.nc'; |
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r_con_name = 'scrip_regrid/rmp_CS32_to_LL128x64_conserv.nc'; |
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r_dwt_name = 'scrip_regrid/rmp_CS32_to_LL128x64_distwgt.nc'; |
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oname = { 'ML_fields.nc' }; |
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|
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flags.regrid_type_for_vec = 2; |
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flags.debug_lev = 0; |
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flags.punits_conv = 0.01; |
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|
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% Get the following from: |
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% ! (cd ../../ape_data_specs/ ; ./ml_parse.sh) |
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vars = {}; |
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vars{1} = {'ML01','ml_u','UVEL','eastward_wind','m s-1','u','1','ee'}; |
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vars{2} = {'ML02','ml_v','VVEL','northward_wind','m s-1','v','1','ee'}; |
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vars{3} = {'ML03','ml_t','ML03','air_temperature','K','-','1','ec'}; |
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vars{4} = {'ML04','ml_om','WVEL','omega','Pa s-1','-','1','ee'}; |
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vars{5} = {'ML05','ml_phi','ML05','geopotential_height','m','-','1','ee'}; |
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vars{6} = {'ML06','ml_q','SALT','specific_humidity','kg kg-1','-','1','cc'}; |
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vars{7} = {'ML07','ml_rh','RELHUM','relative_humidity','percent','-','1','cc'}; |
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vars{8} = {'ML08','ml_th','THETA','potential_temperature','K','-','1','ec'}; |
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|
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% Geopotential reference values |
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% load geopot_20 ; geopot = geopot_20(:,2); clear geopot_20 |
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phiref = ... |
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[ -0.739878953 646.302002 1338.38696 2894.67627 4099.63135 ... |
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5484.93359 7116.62549 9115.08008 10321.4688 11741.3574 13494.4102 ... |
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15862.4404 17833.5605 19667.8887 22136.1934 23854.2266 26366.9375 ]; |
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|
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%====================================================================== |
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% |
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% Open the input files and get the (minimum) number of time steps |
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% available across all the files |
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% |
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disp('Finding available time steps') |
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|
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ncl = {}; |
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nTmin = 0; |
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ifacet = 1; |
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for ifacet = 1:nfacets |
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fname = sprintf(bname,ifacet); |
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nc = netcdf(fname, 'nowrite'); |
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ncl{ifacet} = nc; |
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nT = length( nc('T') ); |
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if (ifacet == 1) |
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nTmin = nT; |
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else |
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nTmin = min(nTmin, nT); |
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end |
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nc = []; |
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end |
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disp(sprintf(' total iterations found = %d',nTmin)); |
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|
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|
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%====================================================================== |
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% |
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% Interpolate to the reference pressure levels and then compute the |
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% derived fields and the temporal sums of all fields on the original |
| 86 |
% MITgcm grid |
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% |
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disp('Computing Sums') |
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|
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Pref = [ 1 2 3 5 7 10 15 20 25 30 40 50 60 70 85 92.5 100 ] * 10; |
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Pref = Pref(length(Pref):-1:1); |
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|
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dat = []; |
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it = 1; |
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iv = 1; |
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ifacet = 1; |
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it0 = 1; |
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for it = [ 1 ] % months.i_start:min(nTmin,months.i_end) |
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disp(sprintf(' iteration = %d',it)); |
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|
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for iv = 1:length(vars) |
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for ifacet = 1:nfacets |
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|
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t0 = []; |
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t1 = []; |
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vtmp = []; |
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|
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% cull unknown variables |
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if ( vars{iv}{3}(1) == '-' ) |
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continue |
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end |
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|
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% skip over computed quantities |
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if strcmp( vars{iv}{1} , vars{iv}{3} ) |
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continue |
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end |
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|
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% WARN about missing variables |
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nc = ncl{ifacet}; |
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if prod(size(nc{vars{iv}{3}})) == 0 |
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if it == 1 |
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str = 'var "%s" does not exist in file "%s"'; |
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disp(sprintf([' Warning: ' str], vars{iv}{3}, name(nc))); |
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end |
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continue |
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end |
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|
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% get the data |
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t0 = squeeze( nc{ vars{iv}{3} }(it,:,:,:) ); |
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|
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% horizontally interpolate to u,v to mass points |
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% |
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% this has changed so that now the "+1" points are garbage |
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% and must be ignored |
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switch vars{iv}{6} |
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case 'u' |
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t1 = t0(:,:,1:32); |
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case 'v' |
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t1 = t0(:,1:32,:); |
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otherwise |
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t1 = t0; |
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end |
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|
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vtmp = t1; |
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|
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% sum for averages |
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if it0 == 1 |
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dat(iv,ifacet).n = 1; |
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dat(iv,ifacet).a = vtmp; |
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else |
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dat(iv,ifacet).n = dat(iv,ifacet).n + 1; |
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dat(iv,ifacet).a = dat(iv,ifacet).a + vtmp; |
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end |
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|
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end |
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end |
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|
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% fill in the derived fields |
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for iv = 1:length(vars) |
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for ifacet = 1:nfacets |
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|
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tmp = []; |
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vtmp = []; |
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nc = ncl{ifacet}; |
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|
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if strcmp(vars{iv}{1},'ML03') |
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% ML03 = THETA * (P/P0)^0.286 |
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tmp = squeeze( nc{ 'THETA' }(it,:,:,:) ); |
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for ii = 1:32 |
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for jj = 1:32 |
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tmp(:,ii,jj) = tmp(:,ii,jj) .* ( Pref' ./ 1000 ).^0.286; |
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end |
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end |
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end |
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|
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if strcmp(vars{iv}{1},'ML05') |
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% ML05 = (PHIHYD/9.81) + ref |
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tmp = squeeze( nc{ 'PHIHYD' }(it,:,:,:) ); |
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nn = size(tmp); |
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for ii = 1:32 |
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for jj = 1:32 |
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tmp(:,ii,jj) = squeeze(tmp(:,ii,jj))/9.81 + phiref'; % + geopot; |
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end |
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end |
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end |
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|
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if prod(size(tmp)) > 0 |
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|
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if it0 == 1 |
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dat(iv,ifacet).n = 1; |
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dat(iv,ifacet).a = tmp; |
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else |
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dat(iv,ifacet).n = dat(iv,ifacet).n + 1; |
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dat(iv,ifacet).a = dat(iv,ifacet).a + tmp; |
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end |
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end |
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|
| 198 |
end |
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end |
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|
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it0 = 0; |
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|
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end |
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clear tmp |
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|
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% close the input files |
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for ifacet = 1:nfacets |
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nc = close( ncl{ifacet} ); |
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end |
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clear ncl; |
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|
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if 1 == 0 |
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for iv = 1:length(vars) |
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for ifacet = 1:nfacets |
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for iz = 1:5:17 |
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aa = squeeze( dat(iv,ifacet).a(iz,:,:) ); |
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surf(aa), view(2), shading flat, colorbar |
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disp([iv ifacet iz]); |
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pause(1) |
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end |
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end |
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end |
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end |
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|
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% interpolate u,v to mass points |
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nc = 32; |
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ncp = nc + 1; |
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|
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for iv = 1:length(vars) |
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switch vars{iv}{6} |
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case 'u' |
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|
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nr = size(dat(iv,1).a,1); |
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u3d = zeros(nc,nc,nr,6); |
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v3d = zeros(nc,nc,nr,6); |
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for fi = 1:6 |
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u3d(:,:,:,fi) = permute( dat(iv, fi).a, [3 2 1] ); |
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v3d(:,:,:,fi) = permute( dat(iv+1,fi).a, [3 2 1] ); |
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end |
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|
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u6t=zeros(ncp,nc,nr,6); |
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v6t=zeros(nc,ncp,nr,6); |
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u6t([1:nc],:,:,:)=u3d(:,:,:,:); |
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v6t(:,[1:nc],:,:)=v3d(:,:,:,:); |
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|
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u6t(ncp,[1:nc],:,1)=u3d(1,[1:nc],:,2); |
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u6t(ncp,[1:nc],:,2)=v3d([nc:-1:1],1,:,4); |
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u6t(ncp,[1:nc],:,3)=u3d(1,[1:nc],:,4); |
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u6t(ncp,[1:nc],:,4)=v3d([nc:-1:1],1,:,6); |
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u6t(ncp,[1:nc],:,5)=u3d(1,[1:nc],:,6); |
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u6t(ncp,[1:nc],:,6)=v3d([nc:-1:1],1,:,2); |
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|
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v6t([1:nc],ncp,:,1)=u3d(1,[nc:-1:1],:,3); |
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v6t([1:nc],ncp,:,2)=v3d([1:nc],1,:,3); |
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v6t([1:nc],ncp,:,3)=u3d(1,[nc:-1:1],:,5); |
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v6t([1:nc],ncp,:,4)=v3d([1:nc],1,:,5); |
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v6t([1:nc],ncp,:,5)=u3d(1,[nc:-1:1],:,1); |
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v6t([1:nc],ncp,:,6)=v3d([1:nc],1,:,1); |
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|
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for fi = 1:6 |
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dat(iv, fi).a = permute( ... |
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0.5*( u6t([1:nc],:,:,fi) + u6t([2:ncp],:,:,fi) ), [3 2 1] ); |
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dat(iv+1,fi).a = permute( ... |
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0.5*( v6t(:,[1:nc],:,fi) + v6t(:,[2:ncp],:,fi) ), [3 2 1] ); |
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end |
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|
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end |
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end |
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|
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%====================================================================== |
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% |
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% Compute the averages from the temporal sums |
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% |
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disp('Computing Averages from Sums') |
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|
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ave = []; |
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for iv = 1:length(vars) |
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ind = length(ave) + 1; |
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for ifacet = 1:nfacets |
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if length(dat(iv,ifacet).n) == 0 |
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continue |
| 282 |
end |
| 283 |
ave(ind).v(:,:,:,ifacet) = dat(iv,ifacet).a ./ dat(iv,ifacet).n; |
| 284 |
ave(ind).ivar = iv; |
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end |
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|
| 287 |
if 1 == 0 |
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aa = squeeze(ave(ind).v(1,:,:,1)); |
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surf(aa), view(2), shading interp, colorbar, pause(3) |
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close all |
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end |
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|
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end |
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|
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clear dat; |
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|
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%====================================================================== |
| 298 |
% |
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% Rotate vector components & convert units |
| 300 |
% |
| 301 |
clear ig; |
| 302 |
gvars = { 'XC','YC','dxF','dyF','rA','XG','YG','dxV', ... |
| 303 |
'dyU','rAz','dxC','dyC','rAw','rAs','dxG','dyG' }; |
| 304 |
for iface = 1:6 |
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fname = sprintf(gname, iface); |
| 306 |
nc = netcdf(fname, 'nowrite'); |
| 307 |
if iface == 1 |
| 308 |
ig.ne = length(nc('X')); |
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end |
| 310 |
for jj = 1:length(gvars) |
| 311 |
comm = [ 'ig.' gvars{jj} '(:,:,iface) = nc{''' ... |
| 312 |
gvars{jj} '''}(:);']; |
| 313 |
eval(comm); |
| 314 |
end |
| 315 |
nc = close(nc); |
| 316 |
end |
| 317 |
|
| 318 |
ne = ig.ne; |
| 319 |
n1 = ne - 1; |
| 320 |
dux = zeros(size(ig.XC)); |
| 321 |
duy = zeros(size(ig.XC)); |
| 322 |
dvx = zeros(size(ig.XC)); |
| 323 |
dvy = zeros(size(ig.XC)); |
| 324 |
% dux(:,:,:) = diff(ig.XG(:,1:ne,:),1,1); |
| 325 |
% dvx(:,:,:) = diff(ig.XG(1:ne,:,:),1,2); |
| 326 |
% duy(:,:,:) = diff(ig.YG(:,1:ne,:),1,1); |
| 327 |
% dvy(:,:,:) = diff(ig.YG(1:ne,:,:),1,2); |
| 328 |
% |
| 329 |
% Note the first two dimensions below are permuted relative to the |
| 330 |
% ordering in the *.mitgrid files (commented-out above). |
| 331 |
dux(:,:,:) = diff(ig.XG(1:ne,:,:),1,2); |
| 332 |
dvx(:,:,:) = diff(ig.XG(:,1:ne,:),1,1); |
| 333 |
duy(:,:,:) = diff(ig.YG(1:ne,:,:),1,2); |
| 334 |
dvy(:,:,:) = diff(ig.YG(:,1:ne,:),1,1); |
| 335 |
dux = dux + 360*double(dux < 180); |
| 336 |
dux = dux - 360*double(dux > 180); % squeeze([ min(min(dux)) max(max(dux)) ]) |
| 337 |
duy = duy + 360*double(duy < 180); |
| 338 |
duy = duy - 360*double(duy > 180); % squeeze([ min(min(duy)) max(max(duy)) ]) |
| 339 |
dvx = dvx + 360*double(dvx < 180); |
| 340 |
dvx = dvx - 360*double(dvx > 180); % squeeze([ min(min(dvx)) max(max(dvx)) ]) |
| 341 |
dvy = dvy + 360*double(dvy < 180); |
| 342 |
dvy = dvy - 360*double(dvy > 180); % squeeze([ min(min(dvy)) max(max(dvy)) ]) |
| 343 |
dut = sqrt(dux.^2 + duy.^2); % squeeze([ min(min(dut)) max(max(dut)) ]) |
| 344 |
dvt = sqrt(dvx.^2 + dvy.^2); % squeeze([ min(min(dvt)) max(max(dvt)) ]) |
| 345 |
ig.llux = dux ./ dut; % squeeze([ min(min(ig.llux)) max(max(ig.llux)) ]) |
| 346 |
ig.lluy = duy ./ dut; % squeeze([ min(min(ig.lluy)) max(max(ig.lluy)) ]) |
| 347 |
ig.llvx = dvx ./ dvt; % squeeze([ min(min(ig.llvx)) max(max(ig.llvx)) ]) |
| 348 |
ig.llvy = dvy ./ dvt; % squeeze([ min(min(ig.llvy)) max(max(ig.llvy)) ]) |
| 349 |
clear dux duy dvx dvy dut dvt ne n1 |
| 350 |
|
| 351 |
if flags.regrid_type_for_vec ~= 2 |
| 352 |
% Vector rotation |
| 353 |
for ia = 1:length(ave) |
| 354 |
if strcmp(vars{ ave(ia).ivar }{6}, 'u') |
| 355 |
% llu = u .* llux + v .* llvx; |
| 356 |
% llv = u .* lluy + v .* llvy; |
| 357 |
for iz = 1:size(ave(ia).v,1) |
| 358 |
llu = squeeze( ave(ia).v(iz,:,:,:) ) .* ig.llux ... |
| 359 |
+ squeeze( ave(ia+1).v(iz,:,:,:) ) .* ig.llvx; |
| 360 |
llv = squeeze( ave(ia).v(iz,:,:,:) ) .* ig.lluy ... |
| 361 |
+ squeeze( ave(ia+1).v(iz,:,:,:) ) .* ig.llvy; |
| 362 |
ave(ia).v(iz,:,:,:) = llu; |
| 363 |
ave(ia+1).v(iz,:,:,:) = llv; |
| 364 |
end |
| 365 |
end |
| 366 |
end |
| 367 |
end |
| 368 |
clear llu llv |
| 369 |
|
| 370 |
% Units conversion |
| 371 |
for ia = 1:length(ave) |
| 372 |
if strcmp(vars{ ave(ia).ivar }{7}, '-') ~= 1 |
| 373 |
eval(['fac = ' vars{ ave(ia).ivar }{7} ';']); |
| 374 |
if fac ~= 1 |
| 375 |
ave(ia).v = fac .* ave(ia).v; |
| 376 |
end |
| 377 |
else |
| 378 |
|
| 379 |
end |
| 380 |
end |
| 381 |
|
| 382 |
%====================================================================== |
| 383 |
% |
| 384 |
% Regrid |
| 385 |
% |
| 386 |
% JMC suggested an evenly spaced Lat-Lon at: 128x64 |
| 387 |
% |
| 388 |
disp('Regridding') |
| 389 |
|
| 390 |
og = []; |
| 391 |
og.nlat = 64; |
| 392 |
og.nlon = 128; |
| 393 |
og.latcell = 180/og.nlat; |
| 394 |
og.loncell = 360/og.nlon; |
| 395 |
og.lat = linspace(-90+og.latcell/2, 90-og.latcell/2, og.nlat); |
| 396 |
og.lon = linspace(0+og.loncell/2, 360-og.loncell/2, og.nlon); |
| 397 |
og.latbnd(:,1) = og.lat - og.latcell/2.0; |
| 398 |
og.latbnd(:,2) = og.lat + og.latcell/2.0; |
| 399 |
og.lonbnd(:,1) = og.lon - og.loncell/2.0; |
| 400 |
og.lonbnd(:,2) = og.lon + og.loncell/2.0; |
| 401 |
|
| 402 |
|
| 403 |
rgvar = { 'src_address', 'dst_address', 'remap_matrix' }; |
| 404 |
rtype = { { 'con', r_con_name}, {'dwt', r_dwt_name } }; |
| 405 |
for kk = 1:length(rtype) |
| 406 |
nc = netcdf(rtype{kk}{2}, 'nowrite'); |
| 407 |
for jj = 1:length(rgvar) |
| 408 |
comm = sprintf('rgrid.%s.%s = nc{''%s''}(:);',... |
| 409 |
rtype{kk}{1},rgvar{jj},rgvar{jj}); |
| 410 |
eval(comm); |
| 411 |
% disp(comm); |
| 412 |
end |
| 413 |
nc = close(nc); |
| 414 |
end |
| 415 |
|
| 416 |
if ( flags.regrid_type_for_vec > 0 ) |
| 417 |
% >> x=rdmds('XC'); |
| 418 |
% >> y=rdmds('YC'); |
| 419 |
% >> t=rdmds('Ttave.0000513360'); |
| 420 |
% >> xi=-179:2:180;yi=-89:2:90; |
| 421 |
% >> del=cube2latlon_preprocess(x,y,xi,yi); |
| 422 |
% >> ti=cube2latlon_fast(del,t); |
| 423 |
aa_regrid.x = rdmds('aa_regrid/XC'); |
| 424 |
aa_regrid.y = rdmds('aa_regrid/YC'); |
| 425 |
% u = rdmds('aa_regrid/U.0000000000'); |
| 426 |
% v = rdmds('aa_regrid/V.0000000000'); |
| 427 |
% del = cube2latlon_preprocess(LON,LAT,xc,yc); |
| 428 |
% |
| 429 |
% aa_regrid.del = ... |
| 430 |
% cube2latlon_preprocess(aa_regrid.x,aa_regrid.y, ... |
| 431 |
% og.lon,og.lat); |
| 432 |
end |
| 433 |
|
| 434 |
% save ML_ave |
| 435 |
|
| 436 |
ii = 1; |
| 437 |
for ii = 1:length(ave) |
| 438 |
|
| 439 |
for iz = 1:size( ave(ii).v, 1 ) |
| 440 |
|
| 441 |
siz = size( ave(ii).v ); |
| 442 |
dcp = zeros(prod(siz(2:4)),1); |
| 443 |
nn = 0; |
| 444 |
for fk = 1:size( ave(ii).v, 4 ) |
| 445 |
for jk = 1:size( ave(ii).v, 3 ) |
| 446 |
for ik = 1:size( ave(ii).v, 2 ) |
| 447 |
nn = nn + 1; |
| 448 |
dcp(nn) = ave(ii).v(iz,ik,jk,fk); |
| 449 |
end |
| 450 |
end |
| 451 |
end |
| 452 |
lld = zeros(og.nlat*og.nlon,1); |
| 453 |
|
| 454 |
if ( ( flags.regrid_type_for_vec > 0 ) ... |
| 455 |
&& ( vars{ave(ii).ivar}{6} == 'u' ... |
| 456 |
|| vars{ave(ii).ivar}{6} == 'v' ) ) |
| 457 |
|
| 458 |
if flags.regrid_type_for_vec == 1 |
| 459 |
|
| 460 |
% use distributed weights for vectors |
| 461 |
for jj = 1:length(rgrid.dwt.src_address) |
| 462 |
lld(rgrid.dwt.dst_address(jj)) = ... |
| 463 |
lld(rgrid.dwt.dst_address(jj)) ... |
| 464 |
+ ( dcp(rgrid.dwt.src_address(jj)) ... |
| 465 |
* rgrid.dwt.remap_matrix(jj,1) ); |
| 466 |
end |
| 467 |
ave(ii).r(iz,:,:) = reshape(lld',og.nlat,og.nlon); |
| 468 |
|
| 469 |
elseif ( flags.regrid_type_for_vec == 2 ... |
| 470 |
&& vars{ave(ii).ivar}{6} == 'u' ) |
| 471 |
|
| 472 |
% use Alistair's uvcube2latlon() for vectors |
| 473 |
nsiz = size(ave(ii).v); |
| 474 |
by6u = zeros([ nsiz(2)*nsiz(4) nsiz(3) ]); |
| 475 |
by6v = zeros([ nsiz(2)*nsiz(4) nsiz(3) ]); |
| 476 |
for kk = 1:size( ave(ii).v, 4 ) |
| 477 |
is = 1 + (kk-1)*nsiz(2); |
| 478 |
ie = is + nsiz(2) - 1; |
| 479 |
by6u(is:ie,:) = squeeze( ave(ii ).v(iz,:,:,kk) )'; |
| 480 |
by6v(is:ie,:) = squeeze( ave(ii+1).v(iz,:,:,kk) )'; |
| 481 |
end |
| 482 |
% xi=-179:2:180; yi=-89:2:90; |
| 483 |
xi = og.lon; |
| 484 |
ind = find(xi > 179.5); |
| 485 |
xi(ind) = xi(ind) - 360; |
| 486 |
yi = og.lat; |
| 487 |
[ul,vl] = uvacube2latlon(aa_regrid.x,aa_regrid.y, ... |
| 488 |
by6u,by6v, xi,yi); |
| 489 |
ave(ii ).r(iz,:,:) = ul'; |
| 490 |
ave(ii+1).r(iz,:,:) = vl'; |
| 491 |
|
| 492 |
if flags.debug_lev > 0 |
| 493 |
figure(1), subplot(1,1,1) |
| 494 |
subplot(2,1,1), surf(ul'), axis equal, view(2), shading flat |
| 495 |
subplot(2,1,2), surf(vl'), axis equal, view(2), shading flat |
| 496 |
end |
| 497 |
|
| 498 |
elseif ( vars{ave(ii).ivar}{6} == 'v' ) |
| 499 |
|
| 500 |
if iz == 1 |
| 501 |
disp(sprintf( ' %s was computed along with %s', ... |
| 502 |
vars{ave(ii).ivar}{2}, vars{ave(ii-1).ivar}{2} )); |
| 503 |
end |
| 504 |
|
| 505 |
elseif ( vars{ave(ii).ivar}{6} == 'u' ) |
| 506 |
|
| 507 |
disp('Error: please specify regrid type for vectors'); |
| 508 |
disp(' using "flags.regrid_type_for_vec"'); |
| 509 |
|
| 510 |
end |
| 511 |
else |
| 512 |
% conservative for scalars |
| 513 |
for jj = 1:length(rgrid.con.src_address) |
| 514 |
lld(rgrid.con.dst_address(jj)) = ... |
| 515 |
lld(rgrid.con.dst_address(jj)) ... |
| 516 |
+ ( dcp(rgrid.con.src_address(jj)) ... |
| 517 |
* rgrid.con.remap_matrix(jj,1) ); |
| 518 |
end |
| 519 |
ave(ii).r(iz,:,:) = reshape(lld',og.nlat,og.nlon); |
| 520 |
end |
| 521 |
|
| 522 |
end |
| 523 |
|
| 524 |
end |
| 525 |
|
| 526 |
|
| 527 |
%====================================================================== |
| 528 |
% |
| 529 |
% Write netCDF output |
| 530 |
% |
| 531 |
disp('Writing netCDF output') |
| 532 |
|
| 533 |
nc = netcdf(oname{1}, 'clobber'); |
| 534 |
nc.title = [ 'Aqua Planet: ' ... |
| 535 |
'Single-Level 2-D Means from "Example" Experiment' ]; |
| 536 |
nc.institution = 'MIT Dept. of EAPS, Cambridge, MA, USA'; |
| 537 |
nc.source = [ 'MITgcm: ' ]; |
| 538 |
nc.Conventions = 'CF-1.0'; |
| 539 |
nc.history = [ 'Original data produced: ' '2002/08/20' ]; |
| 540 |
|
| 541 |
nc('pres') = length(Pref); |
| 542 |
nc('lon') = og.nlon; |
| 543 |
nc('lat') = og.nlat; |
| 544 |
nc('bnd') = 2; |
| 545 |
|
| 546 |
nc{'pres'} = ncdouble('pres'); |
| 547 |
nc{'pres'}.standard_name = 'air_pressure'; |
| 548 |
nc{'pres'}.units = 'Pa'; |
| 549 |
nc{'pres'}(:) = Pref*100; |
| 550 |
|
| 551 |
nc{'lon'} = ncdouble('lon'); |
| 552 |
nc{'lon'}.standard_name = 'longitude'; |
| 553 |
nc{'lon'}.units = 'degrees_east'; |
| 554 |
nc{'lon'}.bounds = 'lon_bnds'; |
| 555 |
nc{'lon'}(:) = og.lon; |
| 556 |
|
| 557 |
nc{'lat'} = ncdouble('lat'); |
| 558 |
nc{'lat'}.standard_name = 'latitude'; |
| 559 |
nc{'lat'}.units = 'degrees_north'; |
| 560 |
nc{'lat'}.bounds = 'lat_bnds'; |
| 561 |
nc{'lat'}(:) = og.lat; |
| 562 |
|
| 563 |
nc{'lon_bnds'} = ncdouble('lon','bnd'); |
| 564 |
nc{'lon_bnds'}.ape_name = 'longitude cell bounds'; |
| 565 |
nc{'lon_bnds'}.units = 'degrees_east'; |
| 566 |
nc{'lon_bnds'}(:) = og.lonbnd; |
| 567 |
|
| 568 |
nc{'lat_bnds'} = ncdouble('lat','bnd'); |
| 569 |
nc{'lat_bnds'}.ape_name = 'latitude cell bounds'; |
| 570 |
nc{'lat_bnds'}.units = 'degrees_north'; |
| 571 |
nc{'lat_bnds'}(:) = og.latbnd; |
| 572 |
|
| 573 |
for ii = 1:length(ave) |
| 574 |
|
| 575 |
iv = ave(ii).ivar; |
| 576 |
nc{ vars{iv}{2} } = ncfloat( 'pres', 'lat', 'lon' ); |
| 577 |
nc{ vars{iv}{2} }.ape_name = vars{iv}{4}; |
| 578 |
nc{ vars{iv}{2} }.units = vars{iv}{5}; |
| 579 |
nc{ vars{iv}{2} }.FillValue_ = 1.0e20; |
| 580 |
|
| 581 |
nc{ vars{iv}{2} }(:) = ave(ii).r; |
| 582 |
|
| 583 |
end |
| 584 |
|
| 585 |
nc = close(nc); |
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