Characterizing stratospheric polar vortex variability with computer vision techniques: Computer vision for polar vortex studies

@inproceedings{Lawrence2017CharacterizingSP,
  title={Characterizing stratospheric polar vortex variability with computer vision techniques: Computer vision for polar vortex studies},
  author={Zachary D. Lawrence and Gloria L. Manney},
  year={2017}
}
Computer vision techniques are used to characterize the Arctic stratospheric polar vortex in 38 years of reanalysis data. Such techniques are typically applied to analyses of digital images, but they represent powerful tools that are more widely applicable: basic techniques and considerations for geophysical applications are outlined herein. Segmentation, descriptive, and tracking algorithms are combined in the Characterization and Analysis of Vortex Evolution using Algorithms for Region… CONTINUE READING

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