A seasonal ARIMA model is used when the time series exhibits seasonal patterns. It is represented as ARIMA(p,d,q)(P,D,Q)m, where P is the number of seasonal autoregressive terms, D is the degree of seasonal differencing, Q is the number of seasonal moving average terms, and m is the number of periods in each season.