Maximum Temperature Prediction Based on GPS and Meteorological Data by Using Neural Network

Abstract

Temperature prediction is a task involving agriculture, military, industry and other aspects, and it is related to daily life and production tasks. Therefore, accurate temperature prediction is an important research topic at present. In this paper, a neural network-based maximum temperature prediction method is proposed. Combined with the Precipitable Water Vapor (PWV) data calculated from GPS satellite data, it achieves high precision, high time granularity prediction under the condition of low computing power requirements.