TY - JOUR
T1 - VAPOR
T2 - A visualization package tailored to analyze simulation data in Earth System Science
AU - Li, Shaomeng
AU - Jaroszynski, Stanislaw
AU - Pearse, Scott
AU - Orf, Leigh
AU - Clyne, John
N1 - Publisher Copyright:
© 2019 by the authors.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - 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.
AB - 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.
KW - Graphical user interface-based cross-platform application
KW - Interactive data analysis
KW - Scientific visualization
KW - Support for Earth System Science
UR - https://www.scopus.com/pages/publications/85072260474
U2 - 10.3390/atmos10090488
DO - 10.3390/atmos10090488
M3 - Article
AN - SCOPUS:85072260474
SN - 2073-4433
VL - 10
JO - Atmosphere
JF - Atmosphere
IS - 9
M1 - 488
ER -