Precipitation nowcasting is an important and challenging worldwide problem.Various techniques have been used to predict precipitation,but the accuracy of precipitation nowcasting is not high due to the highly nonlinear,random,and complex nature of precipitation.In recent years,with the rapid development of artificial intelligence technology,it has gradually penetrated into all aspects of people's lives,and the meteorological fields are no exception.Compared to traditional methods,such as numerical weather forecasting and optical flow methods,artificial neural networks can model non-linear systems,which makes the accuracy of precipitation nowcasting being greatly improved.In this article,we review the traditional methods and summarize the latest artificial intelligence methods used for short-term precipitation forecasting,and analyze the research directions to provide useful references for various types of researchers.