1 / 26

Tornadogenesis and Fractal Geometry

Tornadogenesis and Fractal Geometry. Huaqing Cai NCAR/ASP/ATD. Comparison of Garden City and Hays Mesocyclone. From Wakimoto and Cai, MWR, 2000. Markowski ( MRW , 2002)

nonnie
Télécharger la présentation

Tornadogenesis and Fractal Geometry

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Tornadogenesis and Fractal Geometry Huaqing Cai NCAR/ASP/ATD

  2. Comparison of Garden City and Hays Mesocyclone From Wakimoto and Cai, MWR, 2000

  3. Markowski (MRW, 2002) Perhaps the most remarkable observational finding during the last 10 years is that the differences between tornadic and nontornadic supercells may be subtle, if even distinguishable, even in dual-Doppler radar analyses of the wind fields just prior to tornadogenesis.”

  4. Comparison of Garden City and Hays Mesocyclone From Wakimoto and Cai, MWR, 2000

  5. What is a Fractal ? • The term “fractal” was first introduced by B. Mandelbrot in 1970s • Fractal, i.e., that which has been infinitely divided • Scale invariance • Self-similarity • A fractal structure is the same “from near or from far”

  6. Examples of Fractals ( Math )

  7. Examples of Fractals ( Real )

  8. Applications of Fractal Geometry in Atmospheric Sciences • Area-perimeter relation for rain and cloud (Lovejoy, Science, 1982) • Predictability of atmosphere (Zeng and Pielke, JAS, 1992) • Breaking waves (Longuet-Higgins, JPO,1993) • Isoconcentration surface in a smoke plume (Praskovsky et al.,JAS, 1996)

  9. Vorticity is scale dependent. How vorticity is dependent on scale ? Does it follow the power law ? Or does it scaling with scale according to e1-D, where e is the scale, D is a constant (fractal dimension).

  10. Vorticity as a Fractal R = 0.993 L = 0.3—9.6 km

  11. Garden City Hays L=1.8 km

  12. Comparisons of the Garden City and Hays Fractals Suggest that: • Two different mesocyclones could look very similar on certain scales • Fractal geometry provided a method to look at the same mesocyclone from different scales at the same time • The vorticity line could have some indications of a mesocyclone’s tornado potential

  13. 0.6 km 0.9 km 0.3 km

  14. Tornadic Nontornadic

  15. Pseudo-Vorticity as a Fractal xpv= | (Vr)max – (Vr)min | / D x = 2* xpv for Rankine Vortex

  16. Kellerville GC Hays SA Superior

  17. Self-Similarity Between Tornado and Mesocyclone Scale Tornado Scale 0.3 km 0.9 km 0.6 km Mesocyclone Scale

  18. Summary and Future Work • Fractal geometry provided a new perspective to look at a mesocyclone from difference scales at the same time. • The different slopes of the vorticity (Pseudo-vorticity) lines may be an indicator of a mesocyclone’s tornadic potential • Vorticity (Pseudo-vorticity) line technique is not a tornadogenesis theory, it does not tell you why a mesocyclone produces a tornado, it just tells you which one might be produce tornado.

  19. Summary and Future Work (Continued) • More case studies, using both dual-Doppler and single Doppler data and different radars such as WSR-88Ds and DOWs, will be needed to verify the hypothesis proposed here.

More Related