Hi Sarah, Thank you for your answer. Yes I know that my proposition is not necessary the better way to do it. But my problem concerns only big gaps of course (more than half a day of missing data, till several months of missing data). I've already filled small gaps with the interpolation that you were talking in your message (with the function na.approx of the package zoo). For the study, it's not important to have perfectly identical values between the 2 correlated stations, because I'll calculate after the reconstruction the daily mean of each station. For my boss, it's enough to work on daily means. But before that, I need to rebuild the big missing data gaps of my stations (by the way I explained in the first message of my topic). Do you have any idea of the way to do it on R according to my first post? I forgot to precise that my examples are completely fakes! I chose these numbers in order for you to understand what I want to do (I chose easy and readable numbers). I tested on excel with 2 stations, it was not too bad when I filled the gaps (between the data of the 2 well correlated stations).
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