I am trying to make an NN for meteorological prediction, for which I have input data of only one meteorological station. I have target data of more than one location.

I have to train the NN in such a way that I gove it two input values (e.g.current temperature, pressure) and want to obtain temperature output at more than 50 locations and more than one time steps.

e.g. the input :

(25, 101.32)

should give output:

temperature after 2 hrs = 25, 26, 28, 29, 27.5

temperature after 4 hrs = 24, 23, 26, 26.5, 27

In which pattern to arrange the input and target data, and how to change the number of NN output nodes to obtain these results?

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