how to take mean of three dimension data at seasonal scale?

Hello everyone,

I have temperature data in matrix (180X360X120). 180X360 respresents latitude and longitude, and 120 represents temperarture in 10 years (120months). I want to take mean of temperature at seasonal scale (MAM, JJA & SON).

Final output should be MAM = 180X360X30; JJA = 180X360X30; SON = 180X360X30

% I have tried the same with vector data
mam = sort([[3:12:120],[4:12:120],[5:12:120]]);
x = reshape(mam,3,numel(mam)/3);
MAM =(data(:,x));
y = reshape(MAM,3,numel(MAM)/3);
temp_MAM = mean(y);

How can I do the same with matrix data?

Thanks

Answer 1

[Walter Roberson]

Same basic way,

mam = reshape([3:12:120; 4:12:120; 5:12:120], 1, []);
MAM = data(:,:,mam);
MAM3 = reshape(MAM, size(data,1), size(data,2), 3, []);
MAM3mean = reshape(mean(MAM3, 3), size(data,1), size(data,2), []);

[Aarti Soni]

Thanks @Walter Roberson for help.

[Aarti Soni]

Hello @Walter Roberson,

Similarly, I have 15days temperature data for 10 years means every month is having two files and data is in three dimension format (i.e., 180 X 360 X 240). I want to take mean of every two files to make it monthly mean (180 X 360 X 120).

How can I do this with reshape function or is there any other way to solve this?

I always appreciate for your help.

Thanks in advance.