Forecasting rainfull using transfer function

Abstract EN

This research includes the application of some statistical techniques for studying the time series of the average monthly rainfall as an output series with two of the variables which affect on to, which are the series of the average monthly relative temperature and humidity as an input which is measured at the meteorological station of Ninavah.

The techniques used are the modeling by an (ARIMA) model as well as the dynamic regression model.

So that the perfect dynamic regression model selected was suitable for determining the future forecasting values.