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desert_scientist90 el 24 de Oct. de 2019
Comentada: Peter Perkins el 30 de Oct. de 2019
Hi all,
I am newbie on matlab, I have a dataset for precipitation with a grid of 0.5 spacing x=141, y=71 and t=38. I calculated the average using the following code, But I will like to add the years 1:38 to be able to identify the values with their respective dates. Can I add the dates at this step or should I do it to the original dataset attached?
meanprecip = nanmean(rain(141,71,38));
for x=1:141
for y=1:71
meanprecip(x,y)=mean(rain(x,y))
end
end
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Peter Perkins el 30 de Oct. de 2019
d_s90, I'm not sure I understand your question. It appears as if you have rainfall data collected over 38 years(?) on a 141x71 spatial(?) grid. But then it looks like you are trying to compute the means for each location over the entire time span.
So time would go away at that point. Can you clarify what you want to do?
If you want to find means at each location, you don't need any loops, mean(rain,3) would compute means across your time dimension.
Also, meanprecip = nanmean(rain(141,71,38)) almost certainly doesn't do what you want, which I think is to pre-allocate. meanprecip = nan(size(rain)) maybe?

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