| 1 |
% |
| 2 |
% Ed Hill |
| 3 |
% |
| 4 |
% Generate approximate bathymetry for the llc grid |
| 5 |
% |
| 6 |
|
| 7 |
% clear all ; close all |
| 8 |
dbug = 0; |
| 9 |
|
| 10 |
% Get the ETOPO2 data |
| 11 |
nlat = 5400; |
| 12 |
nlon = 10800; |
| 13 |
lons = linspace(-180, (180 - 2/60), nlon); |
| 14 |
lats = linspace(90, -(90 - 2/60), nlat); |
| 15 |
fid = fopen('ETOPO2.raw.bin', 'r', 'ieee-be'); |
| 16 |
et2 = reshape( fread(fid, nlat*nlon, 'int16'), [ nlon nlat ]); |
| 17 |
fid = fclose(fid); |
| 18 |
|
| 19 |
if dbug > 10 |
| 20 |
surf( et2(1:500,1:500) ), view(2), shading flat |
| 21 |
ilon = [ 1:10:5000 ]; |
| 22 |
ilat = [ 1:10:5400 ]; |
| 23 |
surf(lons(ilon), lats(ilat), et2(ilon,ilat)'), view(2), ... |
| 24 |
shading flat, axis equal |
| 25 |
end |
| 26 |
|
| 27 |
% Get the llc grid information |
| 28 |
fnc_in = 'llc_p90_%d.nc'; |
| 29 |
vnms = { 'XC' 'YC' 'XG' 'YG' }; |
| 30 |
d2r = pi/180.0; |
| 31 |
ginfo = {}; |
| 32 |
for k = 1:5 |
| 33 |
nc = netcdf(sprintf(fnc_in,k),'nowrite'); |
| 34 |
for j = 1:length(vnms) |
| 35 |
eval(sprintf('ginfo(k).%s = nc{''%s''}(:);',vnms{j},vnms{j})); |
| 36 |
end |
| 37 |
nc = close(nc); |
| 38 |
|
| 39 |
% compute 3D coords of the C and G points |
| 40 |
cor = zeros( [ size(ginfo(k).XG) 3 ]); |
| 41 |
[cor(:,:,1),cor(:,:,2),cor(:,:,3)] = sph2cart( ginfo(k).XG*d2r, ... |
| 42 |
ginfo(k).YG*d2r,1 ); |
| 43 |
cen = zeros( [ size(ginfo(k).XC) 3 ]); |
| 44 |
[cen(:,:,1),cen(:,:,2),cen(:,:,3)] = sph2cart( ginfo(k).XC*d2r, ... |
| 45 |
ginfo(k).YC*d2r,1 ); |
| 46 |
ginfo(k).cor = cor; |
| 47 |
ginfo(k).cen = cen; |
| 48 |
|
| 49 |
% empty bathy |
| 50 |
ginfo(k).bathy = zeros(size( size(ginfo(k).XC) )); |
| 51 |
end |
| 52 |
|
| 53 |
% Do a quick-and-dirty regrid |
| 54 |
s_lon = -37; |
| 55 |
s_lat = 0.0; |
| 56 |
for k = 1:5 |
| 57 |
disp(sprintf(' k = %d',k)); |
| 58 |
% |
| 59 |
% / i,j+1 i+1,j+1 \ |
| 60 |
% \ i,j i+i,j / |
| 61 |
for j = 1:size(ginfo(k).XC,2) |
| 62 |
jr = [ j j+1 ]; |
| 63 |
for i = 1:size(ginfo(k).XC,1) |
| 64 |
ir = [ i i+1 ]; |
| 65 |
lon_min = min(min( ginfo(k).XG(ir,jr) + s_lon )); |
| 66 |
lon_max = max(max( ginfo(k).XG(ir,jr) + s_lon )); |
| 67 |
lat_min = min(min( ginfo(k).YG(ir,jr) + s_lat )); |
| 68 |
lat_max = max(max( ginfo(k).YG(ir,jr) + s_lat )); |
| 69 |
% [ lon_min lon_max lat_min lat_max ] |
| 70 |
lon_mm = [ mod(lon_min + 180,360)-180 ... |
| 71 |
mod(lon_max + 180,360)-180 ]; |
| 72 |
lon_min = min(lon_mm); |
| 73 |
lon_max = max(lon_mm); |
| 74 |
|
| 75 |
d_lon = lon_max - lon_min; |
| 76 |
if (abs(d_lon) > 45 && lat_min < 88) |
| 77 |
i_lon = find( lons >= lon_max ... |
| 78 |
| lons <= lon_min ); |
| 79 |
else |
| 80 |
i_lon = find(lon_min <= lons & lons <= lon_max); |
| 81 |
end |
| 82 |
i_lat = find(lat_min <= lats & lats <= lat_max); |
| 83 |
|
| 84 |
% average the bathy |
| 85 |
bv = et2(i_lon,i_lat); |
| 86 |
if length(bv(:)) > 1 |
| 87 |
ginfo(k).bathy(i,j) = mean(bv(:)); |
| 88 |
else |
| 89 |
ginfo(k).bathy(i,j) = NaN; |
| 90 |
end |
| 91 |
end |
| 92 |
end |
| 93 |
end |
| 94 |
|
| 95 |
% Plot the resulting bathymetry |
| 96 |
k = 3; |
| 97 |
for k = 1:5 |
| 98 |
disp(sprintf(' k = %d',k)); |
| 99 |
ginfo(k).b_oce = ginfo(k).bathy; |
| 100 |
ginfo(k).b_oce(find(ginfo(k).b_oce >= 0.0)) = NaN; |
| 101 |
surf( ginfo(k).cor(:,:,1), ... |
| 102 |
ginfo(k).cor(:,:,2), ... |
| 103 |
ginfo(k).cor(:,:,3), ginfo(k).b_oce ) |
| 104 |
end |
| 105 |
axis equal, view(2) |
| 106 |
|
| 107 |
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