VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science

作     者：Li, Shaomeng Jaroszynski, Stanislaw Pearse, Scott Orf, Leigh Clyne, John 

作者机构：Natl Ctr Atmospher Res POB 3000 Boulder CO 80307 USA Univ Wisconsin Cooperat Inst Meteorol Satellite Studies Madison WI 53706 USA 

出 版 物：《ATMOSPHERE》 (大气层)

年 卷 期：2019年第10卷第9期

页      面：488-488页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：National Center for Atmospheric Research - National Science Foundation U.S. National Science Foundation [03-25934, 09-06379, 14-40412] TeraGrid GIG award Korean Institute for Science and Technology Information (KISTI) Cooperative Institute for Meteorological Satellite Studies National Science Foundation [OAC-1614973, OAC-1663954, OAC-1550405, AGS-1832327] 

主　　题：scientific visualization interactive data analysis support for Earth System Science graphical user interface-based cross-platform application 

摘      要：Visualization is an essential tool for analysis of data and communication of findings in the sciences, and the Earth System Sciences (ESS) are no exception. However, within ESS, specialized visualization requirements and data models, particularly for those data arising from numerical models, often make general purpose visualization packages difficult, if not impossible, to use effectively. This paper presents VAPOR: a domain-specific visualization package that targets the specialized needs of ESS modelers, particularly those working in research settings where highly-interactive exploratory visualization is beneficial. We specifically describe VAPOR s ability to handle ESS simulation data from a wide variety of numerical models, as well as a multi-resolution representation that enables interactive visualization on very large data while using only commodity computing resources. We also describe VAPOR s visualization capabilities, paying particular attention to features for geo-referenced data and advanced rendering algorithms suitable for time-varying, 3D data. Finally, we illustrate VAPOR s utility in the study of a numerically- simulated tornado. Our results demonstrate both ease-of-use and the rich capabilities of VAPOR in such a use case.