Creating a digital twin in meteorological forecasting for a smart city on a mobile platform

V.O. Haidukevych, A. Doroshenko
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Abstract

The article discusses the application of the concept of a digital twin in the field of weather forecasting to create a smart city. A digital twin is a virtual replica of a real object or process that reflects its state in real time. The technologies and methods of creating a digital twin of meteorological conditions for a particular city are analyzed. The importance and prospects of creating a digital twin in meteorological forecasting for a smart city on a mobile platform are also presented. The paper discusses the design of an application that allows users to provide easy access to up-to-date information on air quality and weather forecasts for different areas of the city, which is becoming especially important due to the growing environmental problems and climate change. It highlights the use of Swift programming languages and the MapKit and Alamofire frameworks to implement the application’s functionality, as well as the advantages of the SwiftUI language for rapid development of the front-end. Thus, the digital twin, which reflects the real weather forecasting process, plays a key role in the application, providing users with access to up-to-date weather data and helping them make objective decisions about the impact of climate on health and the environment.
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在移动平台上为智慧城市创建气象预报数字孪生系统
文章讨论了数字孪生概念在天气预报领域的应用,以创建智慧城市。数字孪生是真实物体或过程的虚拟复制品,能实时反映其状态。本文分析了为特定城市创建气象条件数字孪生的技术和方法。还介绍了在移动平台上为智慧城市气象预报创建数字孪生的重要性和前景。论文讨论了应用程序的设计,该应用程序允许用户轻松获取城市不同区域的最新空气质量和天气预报信息,由于环境问题和气候变化日益严重,这一点变得尤为重要。它强调了使用 Swift 编程语言以及 MapKit 和 Alamofire 框架来实现应用程序的功能,以及 SwiftUI 语言在快速开发前端方面的优势。因此,反映真实天气预报过程的数字孪生在应用程序中发挥了关键作用,为用户提供了获取最新天气数据的途径,并帮助他们就气候对健康和环境的影响做出客观决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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