Application of uncertainty visualization methods to meteorological trajectories

Application of uncertainty visualization methods to meteorological trajectories

We present an application of uncertainty visualization to air parcel trajectories generated from a global meteorological model. We derive an approximation of advection uncertainty due to interpolation and incorporate this uncertainty into our visualization of trajectories. Our work enables efficient...

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Bibliographic Details
Published in:Earth science informatics Vol. 3; no. 1-2; pp. 119 - 126
Main Authors: Boller, Ryan A., Braun, Scott A., Miles, Jadrian, Laidlaw, David H.
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer-Verlag 01-06-2010
Springer Nature B.V
Subjects:
Approximation
Atmospheric models
Data analysis
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Information Systems Applications (incl.Internet)
Interpolation
Mathematical analysis
Mathematical models
Meteorology
Ontology
Research Article
Simulation and Modeling
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Trajectories
Uncertainty
Visual
Visualization
Time-varying data
Flow visualization
Meteorological visualization techniques
Uncertainty visualization
Multi-field visualization
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Summary:We present an application of uncertainty visualization to air parcel trajectories generated from a global meteorological model. We derive an approximation of advection uncertainty due to interpolation and incorporate this uncertainty into our visualization of trajectories. Our work enables efficient visual pruning of unlikely results, especially in regions of atmospheric shear, potentially reducing erroneous interpretations. Finally, we apply these methods to a real-world meteorological problem to demonstrate its use.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-010-0052-5