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Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow
- Source :
- IEEE transactions on visualization and computer graphics. 24(1)
- Publication Year :
- 2017
-
Abstract
- Jet-streams, their core lines and their role in atmospheric dynamics have been subject to considerable meteorological research since the first half of the twentieth century. Yet, until today no consistent automated feature detection approach has been proposed to identify jet-stream core lines from 3D wind fields. Such 3D core lines can facilitate meteorological analyses previously not possible. Although jet-stream cores can be manually analyzed by meteorologists in 2D as height ridges in the wind speed field, to the best of our knowledge no automated ridge detection approach has been applied to jet-stream core detection. In this work, we -a team of visualization scientists and meteorologists-propose a method that exploits directional information in the wind field to extract core lines in a robust and numerically less involved manner than traditional 3D ridge detection. For the first time, we apply the extracted 3D core lines to meteorological analysis, considering real-world case studies and demonstrating our method's benefits for weather forecasting and meteorological research.
- Subjects :
- geography
geography.geographical_feature_category
010504 meteorology & atmospheric sciences
Computer science
Feature extraction
Weather forecasting
020207 software engineering
02 engineering and technology
Jet stream
computer.software_genre
01 natural sciences
Computer Graphics and Computer-Aided Design
Field (computer science)
Wind speed
Visualization
Ridge
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Computer Vision and Pattern Recognition
computer
Software
0105 earth and related environmental sciences
Feature detection (computer vision)
Remote sensing
Subjects
Details
- ISSN :
- 19410506
- Volume :
- 24
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....026aa00b27358db50b5f2a19ceeed099