Interpolating 3D Gridded Data in Matlab

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Mark
Mark 2022-11-21
评论： Mark 2022-11-22
I have a 3D gridded data and I want to interpolate to increase the size of the data. Current resolution is 5 deg long x 5 deg latitude and I want to change the resolution to 2 deg long x 2 deg latitude as I am interested in Lat = 2 deg. The dimension of the data is (Longitude x Latitude x Height) and current size is (72x36x40).
Long= 72x36x40
Lat = 72x36x40
Height =72x36x40
Temperature =72x36x40
I tried to use the interpn function but at the end I am only getting NaN values. Below are my codes.
file='data.nc';
Lat1 = ncread(file,'Latitude'); % Size is 72x36x40
Long1 = ncread(file1, 'Longitude'); % Size is 72x36x40
Height = ncread(file1,'Height'); % Size is 72x36x40
Temp1 = ncread(file,'Temperature'); % Size is 72x36x40
[LongI,LatI,HeightI] = ndgrid(0:5:360,-90:5:90,0:10:600);
TempI = interpn(Long1,Lat1,Height,Temp1,LongI,LatI,HeightI,'linear');`
My goal is to convert 3D data at 5 long x 5 lat resolution to 2 long x 2 lat resolution.

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Matt J
Matt J 2022-11-21
编辑：Matt J 2022-11-21
This might be easier:
LUT= griddedInterpolant(Long1,Lat1,Height,Temp1,'linear','linear'); %create interp object
newgrid=LUT.GridVectors;
newgrid(1:2)=cellfun(@(z) z(1):2:z(end) , newgrid(1:2),'uni',0); %change the sampling lattice in the first two coordinates to be increments of 2
TempI = LUT(newgrid); %interpolate on newgrid
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Matt J
Matt J 2022-11-22
编辑：Matt J 2022-11-22
That was given in my original answer. After the upsampling to 2 long x 2 lat, the upsampled {long,lat,height} are in newgrid, while the upsampled temperatures are in TempQ.

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