Water Supply (Dec 2023)
AI-based intelligent virtual image meteorological services
Abstract
Although modern meteorological service and prediction systems have achieved good applications in numerical models, these models are often influenced by multiple random factors and cannot adapt well to the meteorological service and prediction needs of complex climate regions. Therefore, this article aims to designing an AI intelligent meteorological service platform to simulate what happens when people use it. Based on commonly used AI technologies in meteorological research, the temporal data algorithm mentioned in this article is used for prediction. This article selected the actual daily average water vapor pressure and daily average relative humidity data of three meteorological stations over the past 10 days for analysis. The maximum and minimum values of the actual daily average water vapor pressure in the 10 days of San Jose are 30.2 and 28.1 Pa, respectively, the maximum and minimum values of the actual daily average vapor pressure over 10 days of Cupertino are 30.4 and 28.4 Pa, respectively, and the maximum and minimum values of the actual daily average vapor pressure over 10 days of Santa Clara are 30.5 and 28.4 Pa, respectively, which can prove the effectiveness of AI-based intelligent virtual imaging meteorological services. HIGHLIGHTS Modern meteorological services and forecasting systems are susceptible to the influence of a variety of random factors and cannot well cope with the meteorological service and forecasting needs in complex climate areas.; With the continuous development and maturity of artificial intelligence (AI) algorithms represented by neural networks, meteorological departments are trying to use statistical methods to replace or compensate for traditional numerical models. This article also designs an AI weather service platform based on this to simulate what will happen when people use it.; This article selected the actual daily average water vapor pressure and daily average relative humidity data of three weather stations in the past 10 days for research and analysis, and found that the virtual imaging weather service system based on AI was more effective.;
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