Artificial neural networks in forecasting minimum temperature

Abstract

Forcasting the minimum temperature(Tmin) is one of the most important operational practices carried out by Meteorological Services worldwide. The great interest in developing methods for more accurate predictions has led the invention of several such methods of which the most commonly used can be considered to fall into three groups: physical, statistical-empirical, and numerical-statistical. In this study, an attempt is made to tackle the problem of minimum temperature forecasting using artificial neural networks.