The variations from year to year of the monthly average temperatures are modelled as a discrete-time Markov chain. By computing the limiting probabilities of the Markov chain, we can see the impact of climate change on these temperatures. The same type of model is proposed for the variations of the monthly amounts of precipitation. An application to Jordan is presented.