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Meteoearth for windows4/16/2023 ![]() At the same time, the rise of ensemble prediction (Gneiting and Raftery, 2005 Leutbecher and Palmer, 2008) has resulted in greater amounts of data as ensemble numerical models consist of multiple simulations (or perturbations) compared with just one simulation of deterministic counterparts. Furthermore, spatial and temporal resolutions of deterministic numerical models are increasing. With the rapid progress in numerical weather prediction research (Warner, 2011) and the ever-increasing processing capabilities of computing resources, the size of data sets generated by numerical models is growing unprecedentedly. MeteoExplorer is an exploratory project that provides forecasters with new techniques for climate diagnosis and forecasts. These applications support the analysis and visualization of numerous data set types, as well as the interactive content creation. Based on the foundation libraries, the software can develop web, desktop and mobile applications for meteorological purposes. Compared with other software tools, the framework provides distinctive features, including a unified framework that integrates both 2D and 3D rendering context, comprehensive support of popular data formats and computing platforms, decent rendition quality via the export of vector graphics and page layout customization, and interactive composition of synoptic charts. Modules in the framework are loosely coupled with minimum interdependencies to facilitate code reuse and improve code efficiency. The framework is developed with C++ on the central processing unit side and shader languages on the graphics processing unit (GPU) side. ![]() It consists of a developer-orientedcross-platform foundation framework and several applications built upon the framework. ![]() The paper presents MeteoExplorer: a software tool designed to analyse and visualize atmospheric and geoscience data. However, how to provide an intuitive way to combine traditional two-dimensional (2D) methods essential in operational weather forecasting and new 3D techniques welcomed in atmospheric research is not fully investigated, if not overlooked, in these tools. Over recent years, several visualization tools that offer advanced three-dimensional (3D) rendering techniques, while still showing good performance for large data sets, have been developed.
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