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Say time series data T1 follows a normal distribution N(mean,sd), and the base time series data T0 follows a normal distribution N(mean0,sd0). I want to calibrate T1 to make the same distribution as T0. How do I do this? The real problem is that T1 is yearly rainfall in the past decade, and T2 is simulated rainfall from IPCC models. I want to calibrate T2 base on T1.

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  • $\begingroup$ How can time-series follow normal distribution? So there's no autocorrelation? Maybe you could state your question in terms of the real problem you're facing? What exactly is your data? Why do you want to "calibrate" it? $\endgroup$ – Tim Nov 8 '19 at 16:30

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