Find nearest grid cell between two 2D matrixes of different resolution

Hello,
I have two matrices I would like to compare.
A is 192(lon) x 288(lat) B is 360(lat) x 720(lon)
How can I regrid B so that its resolution is the same as A?
I would like to know how to do this both by finding the nearest B lat&lon&values for A, and also by decimating B to the coarser resolution of A
Thank you,
Melissa

 Accepted Answer

Assuming that they are regular grids with known latitude and longitude vectors, Along, Alat, Blong, Blat, then the approximation that neglects curvature of the Earth would be
[X, Y] = meshgrid(Blat, Blong);
[Xq, Yq] = meshgrid(Alat, Along);
Bapprox = interp2(X, Y, B, Xq, Yq);
The interp2() would need the longitude vectors phase-unwrapped if they cross 180 to -180:
degrad = pi./180;
unwrappedBlong = unwrap(Blong .* degrad) ./ degrad;
If you do need to take the curvature of the Earth into account, then possibly mapprofile might turn out to be usable for you -- I am too tired at the moment to figure out what a refmatrix is.
If mapprofile is not suitable then perhaps someone has already built a routine. If not then intrplon might help.

2 Comments

thanks! What do I do if it says,
Error
The grid was created from grid vectors that were not strictly monotonic increasing.
That's when you have to do the unwrapping like I showed.

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