Precipitation prediction using artificial neural networks
Crowell, Kevin Lee
MetadataShow full item record
Precipitation, in meteorology, is defined as any product, liquid or solid, of atmospheric water vapor that is accumulated onto the earth’s surface. Water, and thus precipitation, has a major impact on our daily livelihood. As such, the uncertainty of both the future occurrence and amount of precipitation can have a negative impact on many sectors of our economy, especially agriculture. There is, therefore, a need to use innovative computer technologies such as artificial intelligence to improve the accuracy of precipitation predictions. Artificial neural networks have been shown to be useful as an aid for the prediction of weather variables. The goal of this study was to develop artificial neural network models for the purpose of predicting both the Probability of Precipitation and quantitative precipitation over a 24-hour period beginning and ending at midnight.