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APPROACH TO THE VISUALIZATION OF TIMELINES OF IMAGES GENERATED BY FORECASTING MODELS
Abstract
In this paper, we address some challenges of protracted loading times and reduced performance when managing large image sets delivered as output by popular meso-scale weather and air-quality models when used in graphic engines of associated software applications. Following an examination of several distinguished models' output, we introduce an innovative approach centered on a three-tier software system architecture, supplemented by strategies including lazy-loading, image compression, and load stream prioritization. This design is fully compatible with contemporary software technologies, enabling efficient implementation. We validate our proposed architecture through the development of a prototype web application using React and Next.JS, offering a comparative analysis of its performance. Additionally, we delve into the some noteworthy implementation issues encountered and contemplate the potential application of the concept suggesting alternative suites of app development technologies.
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