Articles | Volume 15, issue 3
https://doi.org/10.5194/esd-15-607-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
21 May 2024
Research article |
| 21 May 2024
| 21 May 2024
Classification of synoptic circulation patterns with a two-stage clustering algorithm using the modified structural similarity index metric (SSIM)
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Preprint withdrawn
Cited articles
Adams, R. E., Lee, C. C., Smith, E. T., and Sheridan, S. C.: The relationship between atmospheric circulation patterns and extreme temperature events in North America, Int. J. Climatol., 41, 92–103, https://doi.org/10.1002/joc.6610, 2020.
Baker, A. H., Pinardy, A., and Hammerlingy, D. M.: DSSIM: a structural similarity index for floating-point data, IEEE Transactions on Visualization and Computer Graphics (Early Access), 1–13, https://doi.org/10.1109/TVCG.2023.3332843, 2022.
Baur, F.: Einführung in die Grosswetterkunde (En: Introduction into Large Scale Weather), Dieterich Verlag, Wiesbaden, Germany, https://doi.org/10.1002/qj.49707633014, 1948.
Beck, C., Jacobeit, J., and Jones, P. D.: Frequency and within-type variations of large-scale circulation types and their effects on low-frequency climate variability in central europe since 1780, Int. J. Climatol., 27, 473–491, https://doi.org/10.1002/joc.1410, 2007.
Cannon, A. J.: Semi-supervised multivariate regression trees: putting the `circulation' back into a `circulation-to-environment' synoptic classifier, Int. J. Climatol., 32, 2251–2254, https://doi.org/10.1002/joc.2417, 2012.
