Open AccessMeteoExplorer : Visual data analysis software for atmospheric and geoscientists
Author(s) -
Yu Lianqing
Publication year - 2020
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.1916
Subject(s) - computer science , software , visualization , rendering (computer graphics) , software framework , software engineering , software development , component based software engineering , computer graphics (images) , data mining , operating system
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. 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. The paper presents MeteoExplorer: a software tool designed to analyse and visualize atmospheric and geoscience data. It consists of a developer‐orientedcross‐platform foundation framework and several applications built upon the framework. The framework is developed with C++ on the central processing unit side and shader languages on the graphics processing unit (GPU) side. Modules in the framework are loosely coupled with minimum interdependencies to facilitate code reuse and improve code efficiency. 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. Based on the foundation libraries, the software can develop web, desktop and mobile applications for meteorological purposes. These applications support the analysis and visualization of numerous data set types, as well as the interactive content creation. MeteoExplorer is an exploratory project that provides forecasters with new techniques for climate diagnosis and forecasts.