| 1 |
adcroft |
1.1 |
function [] = merccube(XX,YY,C) |
| 2 |
adcroft |
1.2 |
% merccube(x,y,c) |
| 3 |
adcroft |
1.1 |
% |
| 4 |
adcroft |
1.2 |
% Plots cubed-sphere data in mercator projection. (x,y) are |
| 5 |
adcroft |
1.1 |
% coordinates, c is cell-centered scalar to be plotted. |
| 6 |
adcroft |
1.2 |
% All arrays (x,y,c) should have dimensions of NxNx6 or 6NxN. |
| 7 |
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% |
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% The default plotting mode is shading faceted. Using this or |
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% shading flat, (x,y) should be the coordinates of grid-corners |
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% and can legitimately have dimension (N+1)x(N+1)x6. |
| 11 |
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% |
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% If using shading interp, then (x,y) must be the coordinates of |
| 13 |
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% the cell centers. |
| 14 |
adcroft |
1.1 |
% |
| 15 |
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% e.g. |
| 16 |
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% |
| 17 |
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% xg=rdmds('XG'); |
| 18 |
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% yg=rdmds('YG'); |
| 19 |
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% ps=rdmds('Eta.0000000000'); |
| 20 |
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% mercube(xg,yg,ps); |
| 21 |
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% colorbar;xlabel('Longitude');ylabel('Latitude'); |
| 22 |
adcroft |
1.2 |
% |
| 23 |
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% xc=rdmds('XC'); |
| 24 |
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% yc=rdmds('YC'); |
| 25 |
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% mercube(xc,yc,ps);shading interp |
| 26 |
adcroft |
1.1 |
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| 27 |
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if max(max(max(YY)))-min(min(min(YY))) < 3*pi |
| 28 |
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X=XX*180/pi; |
| 29 |
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Y=YY*180/pi; |
| 30 |
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else |
| 31 |
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X=XX; |
| 32 |
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Y=YY; |
| 33 |
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end |
| 34 |
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Q=C; |
| 35 |
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| 36 |
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if ndims(X)==2 & size(X,1)==6*size(X,2) |
| 37 |
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disp('1'); |
| 38 |
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[nx ny nt]=size(X); |
| 39 |
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X=permute( reshape(X,[nx/6 6 ny]),[1 3 2]); |
| 40 |
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Y=permute( reshape(Y,[nx/6 6 ny]),[1 3 2]); |
| 41 |
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Q=permute( reshape(Q,[nx/6 6 ny]),[1 3 2]); |
| 42 |
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elseif ndims(X)==3 & size(X,2)==6 |
| 43 |
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X=permute( X,[1 3 2]); |
| 44 |
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Y=permute( Y,[1 3 2]); |
| 45 |
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Q=permute( Q,[1 3 2]); |
| 46 |
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elseif ndims(X)==3 & size(X,3)==6 |
| 47 |
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[nx ny nt]=size(X); |
| 48 |
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else |
| 49 |
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size(XX) |
| 50 |
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size(YY) |
| 51 |
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size(C) |
| 52 |
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error('Dimensions should be 2 or 3 dimensions: NxNx6, 6NxN or Nx6xN'); |
| 53 |
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end |
| 54 |
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| 55 |
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if size(X,1)==size(Q,1) |
| 56 |
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whos |
| 57 |
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X(end+1,:,:)=NaN; |
| 58 |
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X(:,end+1,:)=NaN; |
| 59 |
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X(end,:,[1 3 5])=X(1,:,[2 4 6]); |
| 60 |
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X(:,end,[2 4 6])=X(:,1,[3 5 1]); |
| 61 |
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X(:,end,[1 3 5])=squeeze(X(1,end:-1:1,[3 5 1])); |
| 62 |
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X(end,:,[2 4 6])=squeeze(X(end:-1:1,1,[4 6 2])); |
| 63 |
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Y(end+1,:,:)=NaN; |
| 64 |
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Y(:,end+1,:)=NaN; |
| 65 |
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Y(end,:,[1 3 5])=Y(1,:,[2 4 6]); |
| 66 |
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Y(:,end,[2 4 6])=Y(:,1,[3 5 1]); |
| 67 |
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Y(:,end,[1 3 5])=squeeze(Y(1,end:-1:1,[3 5 1])); |
| 68 |
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Y(end,:,[2 4 6])=squeeze(Y(end:-1:1,1,[4 6 2])); |
| 69 |
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end |
| 70 |
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[nx ny nt]=size(X); |
| 71 |
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| 72 |
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Q(end+1,:,:)=0; |
| 73 |
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Q(:,end+1,:)=0; |
| 74 |
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Q(end,:,[1 3 5])=Q(1,:,[2 4 6]); |
| 75 |
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Q(:,end,[2 4 6])=Q(:,1,[3 5 1]); |
| 76 |
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Q(:,end,[1 3 5])=squeeze(Q(1,end:-1:1,[3 5 1])); |
| 77 |
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Q(end,:,[2 4 6])=squeeze(Q(end:-1:1,1,[4 6 2])); |
| 78 |
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| 79 |
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hnx=ceil(nx/2); |
| 80 |
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hny=ceil(ny/2); |
| 81 |
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| 82 |
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for k=1:6; |
| 83 |
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i=1:hnx; |
| 84 |
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x=longitude(X(i,:,k)); |
| 85 |
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pcolor(x,Y(i,:,k),Q(i,:,k)) |
| 86 |
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axis([-180 180 -90 90]) |
| 87 |
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hold on |
| 88 |
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if max(max(max(x)))>180 |
| 89 |
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pcolor(x-360,Y(i,:,k),Q(i,:,k)) |
| 90 |
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end |
| 91 |
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i=hnx:nx; |
| 92 |
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x=longitude(X(i,:,k)); |
| 93 |
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pcolor(x,Y(i,:,k),Q(i,:,k)) |
| 94 |
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if max(max(max(x)))>180 |
| 95 |
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pcolor(x-360,Y(i,:,k),Q(i,:,k)) |
| 96 |
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end |
| 97 |
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end |
| 98 |
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hold off |
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