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edhill |
1.1 |
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% Ed Hill |
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% Generate approximate bathymetry for the llc grid |
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% clear all ; close all |
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do_print = 0; |
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dbug = 0; |
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% Get the ETOPO2 data |
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disp('Reading the ETOPO2 data...'); |
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nlat = 5400; |
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nlon = 10800; |
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lons = linspace(-180, (180 - 2/60), nlon); |
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lats = linspace(90, -(90 - 2/60), nlat); |
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fid = fopen('ETOPO2.raw.bin', 'r', 'ieee-be'); |
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et2 = reshape( fread(fid, nlat*nlon, 'int16'), [ nlon nlat ]); |
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fid = fclose(fid); |
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if dbug > 10 |
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surf( et2(1:500,1:500) ), view(2), shading flat |
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ilon = [ 1:10:5000 ]; |
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ilat = [ 1:10:5400 ]; |
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surf(lons(ilon), lats(ilat), et2(ilon,ilat)'), view(2), ... |
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shading flat, axis equal |
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end |
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% Get the llc grid information |
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disp('Reading the grid information...'); |
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fnc_in = 'llc_p90_%d.nc'; |
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vnms = { 'XC' 'YC' 'XG' 'YG' }; |
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d2r = pi/180.0; |
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ginfo = {}; |
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for k = 1:5 |
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nc = netcdf(sprintf(fnc_in,k),'nowrite'); |
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for j = 1:length(vnms) |
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eval(sprintf('ginfo(k).%s = nc{''%s''}(:);',vnms{j},vnms{j})); |
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end |
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nc = close(nc); |
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% compute 3D coords of the C and G points |
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cor = zeros( [ size(ginfo(k).XG) 3 ]); |
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[cor(:,:,1),cor(:,:,2),cor(:,:,3)] = sph2cart( ginfo(k).XG*d2r, ... |
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ginfo(k).YG*d2r,1 ); |
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cen = zeros( [ size(ginfo(k).XC) 3 ]); |
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[cen(:,:,1),cen(:,:,2),cen(:,:,3)] = sph2cart( ginfo(k).XC*d2r, ... |
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ginfo(k).YC*d2r,1 ); |
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ginfo(k).cor = cor; |
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ginfo(k).cen = cen; |
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% empty bathy |
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ginfo(k).bathy = zeros(size( size(ginfo(k).XC) )); |
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end |
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% Do a quick-and-dirty regrid |
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disp('Performing the regrid...'); |
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s_lon = -37; |
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s_lat = 0.0; |
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for k = 1:5 |
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disp(sprintf(' k = %d',k)); |
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% |
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% / i,j+1 i+1,j+1 \ |
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% \ i,j i+i,j / |
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for j = 1:size(ginfo(k).XC,2) |
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jr = [ j j+1 ]; |
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for i = 1:size(ginfo(k).XC,1) |
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ir = [ i i+1 ]; |
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lon_min = min(min( ginfo(k).XG(ir,jr) + s_lon )); |
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lon_max = max(max( ginfo(k).XG(ir,jr) + s_lon )); |
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lat_min = min(min( ginfo(k).YG(ir,jr) + s_lat )); |
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lat_max = max(max( ginfo(k).YG(ir,jr) + s_lat )); |
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% [ lon_min lon_max lat_min lat_max ] |
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lon_mm = [ mod(lon_min + 180,360)-180 ... |
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mod(lon_max + 180,360)-180 ]; |
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lon_min = min(lon_mm); |
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lon_max = max(lon_mm); |
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d_lon = lon_max - lon_min; |
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if (abs(d_lon) > 45 && lat_min < 88) |
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i_lon = find( lons >= lon_max ... |
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| lons <= lon_min ); |
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else |
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i_lon = find(lon_min <= lons & lons <= lon_max); |
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end |
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i_lat = find(lat_min <= lats & lats <= lat_max); |
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% average the bathy |
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bv = et2(i_lon,i_lat); |
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if length(bv(:)) > 1 |
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ginfo(k).bathy(i,j) = mean(bv(:)); |
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else |
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% If not averaging, then interpolate |
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% ginfo(k).bathy(i,j) = NaN; |
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i_lon = interp1(lons,[1:length(lons)],lon_min,'nearest'); |
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i_lat = interp1(lats,[1:length(lats)],lat_min,'nearest'); |
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ginfo(k).bathy(i,j) = et2(i_lon,i_lat); |
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end |
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end |
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end |
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end |
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% Plot the resulting bathymetry |
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k = 3; |
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for k = 1:5 |
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disp(sprintf(' k = %d',k)); |
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ginfo(k).b_oce = ginfo(k).bathy; |
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ginfo(k).b_oce(find(ginfo(k).b_oce >= 0.0)) = NaN; |
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% if k == 2, hold on, end |
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figure(k) |
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surf( ginfo(k).cor(:,:,1), ... |
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ginfo(k).cor(:,:,2), ... |
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ginfo(k).cor(:,:,3), ginfo(k).b_oce ) |
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% if k == 5, hold off, end |
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axis equal, view(2) |
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end |
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if do_print > 0 |
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print -depsc llc_bathy.eps |
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end |
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% Write the resulting bathymetry |
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