TY - JOUR
T1 - Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks
AU - Rautenhaus, Marc
AU - Bottinger, Michael
AU - Siemen, Stephan
AU - Hoffman, Robert
AU - Kirby, Robert M.
AU - Mirzargar, Mahsa
AU - Rober, Niklas
AU - Westermann, Rudiger
N1 - Publisher Copyright:
© 1995-2012 IEEE.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - This article surveys the history and current state of the art of visualization in meteorology, focusing on visualization techniques and tools used for meteorological data analysis. We examine characteristics of meteorological data and analysis tasks, describe the development of computer graphics methods for visualization in meteorology from the 1960s to today, and visit the state of the art of visualization techniques and tools in operational weather forecasting and atmospheric research. We approach the topic from both the visualization and the meteorological side, showing visualization techniques commonly used in meteorological practice, and surveying recent studies in visualization research aimed at meteorological applications. Our overview covers visualization techniques from the fields of display design, 3D visualization, flow dynamics, feature-based visualization, comparative visualization and data fusion, uncertainty and ensemble visualization, interactive visual analysis, efficient rendering, and scalability and reproducibility. We discuss demands and challenges for visualization research targeting meteorological data analysis, highlighting aspects in demonstration of benefit, interactive visual analysis, seamless visualization, ensemble visualization, 3D visualization, and technical issues.
AB - This article surveys the history and current state of the art of visualization in meteorology, focusing on visualization techniques and tools used for meteorological data analysis. We examine characteristics of meteorological data and analysis tasks, describe the development of computer graphics methods for visualization in meteorology from the 1960s to today, and visit the state of the art of visualization techniques and tools in operational weather forecasting and atmospheric research. We approach the topic from both the visualization and the meteorological side, showing visualization techniques commonly used in meteorological practice, and surveying recent studies in visualization research aimed at meteorological applications. Our overview covers visualization techniques from the fields of display design, 3D visualization, flow dynamics, feature-based visualization, comparative visualization and data fusion, uncertainty and ensemble visualization, interactive visual analysis, efficient rendering, and scalability and reproducibility. We discuss demands and challenges for visualization research targeting meteorological data analysis, highlighting aspects in demonstration of benefit, interactive visual analysis, seamless visualization, ensemble visualization, 3D visualization, and technical issues.
KW - Visualization
KW - atmospheric science
KW - climatology
KW - meteorology
KW - spatiotemporal data
KW - survey
KW - weather forecasting
UR - http://www.scopus.com/inward/record.url?scp=85037643805&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2017.2779501
DO - 10.1109/TVCG.2017.2779501
M3 - Review article
C2 - 29990196
AN - SCOPUS:85037643805
SN - 1077-2626
VL - 24
SP - 3268
EP - 3296
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 12
M1 - 8126857
ER -