Abstract
A number of modifications to the Markov chain probability model are proposed for cases in which the simple model does not fit sequences of wet or dry days. The modified models are shown to fit the observed records in most cases, and can also be applied to sequences of wet or dry hours. A solution to the problem of counting sequences within a limited time period is also given.
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