Cyclogenesis: Simulating Hurricanes and Tornadoes
Authors: 
Jorge Alejandro Amador Herrera, Jonathan Klein, Daoming Liu, Wojtek Pałubicki, Sören Pirk, Dominik L. MichelsAuthors Info & Claims
Article No.: 71, Pages 1 - 16
Abstract
Cyclones are large-scale phenomena that result from complex heat and water transfer processes in the atmosphere, as well as from the interaction of multiple hydrometeors, i.e., water and ice particles. When cyclones make landfall, they are considered natural disasters and spawn dread and awe alike. We propose a physically-based approach to describe the 3D development of cyclones in a visually convincing and physically plausible manner. Our approach allows us to capture large-scale heat and water continuity, turbulent microphysical dynamics of hydrometeors, and mesoscale cyclonic processes within the planetary boundary layer. Modeling these processes enables us to simulate multiple hurricane and tornado phenomena. We evaluate our simulations quantitatively by comparing to real data from storm soundings and observations of hurricane landfall from climatology research. Additionally, qualitative comparisons to previous methods are performed to validate the different parts of our scheme. In summary, our model simulates cyclogenesis in a comprehensive way that allows us to interactively render animations of some of the most complex weather events.
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References
[1]
Giancarlo Alfonsi. 2009. Reynolds-averaged Navier-Stokes equations for turbulence modeling. Applied Mechanics Reviews 62, 4 (2009).
[2]
J. A. Amador Herrera, T. Hädrich, W. Pałubicki, D. T. Banuti, S. Pirk, and D. L. Michels. 2021. Weatherscapes: Nowcasting Heat Transfer and Water Continuity. ACM Transaction on Graphics 40, 6, Article 204 (12 2021).
[3]
Alexandra K Anderson-Frey, Yvette P Richardson, Andrew R Dean, Richard L Thompson, and Bryan T Smith. 2019. Characteristics of tornado events and warnings in the southeastern United States. Weather and Forecasting 34, 4 (2019), 1017--1034.
[4]
A. Bouthors and F. Neyret. 2004. Modeling clouds shape. In Eurographics 2004--Short Presentations, M. Alexa and E. Galin (Eds.). Eurographics Association.
[5]
John R Colquhoun and Philip A Riley. 1996. Relationships between tornado intensity and various wind and thermodynamic variables. Weather and forecasting 11, 3 (1996), 360--371.
[6]
Wei Cui and Luca Caracoglia. 2019. A new stochastic formulation for synthetic hurricane simulation over the North Atlantic Ocean. Engineering Structures 199 (2019), 109597.
[7]
D. Demidov. 2019. AMGCL: An Efficient, Flexible, and Extensible Algebraic Multigrid Implementation. Lobachevskii Journal of Mathematics 40, 5 (01 May 2019), 535--546.
[8]
Xiangyang Ding. 2005. Physically-based Simulation of Tornadoes. Master's thesis. University of Waterloo.
[9]
Tomoyuki Nishita Dobashi, Tsuyoshi Yamamoto. 2002. Interactive Rendering of Atmospheric Scattering Effects Using Graphics Hardware. (2002).
[10]
Yoshinori Dobashi, Kazufumi Kaneda, Hideo Yamashita, Tsuyoshi Okita, and Tomoyuki Nishita. 2000. A simple, efficient method for realistic animation of clouds. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques. 19--28.
[11]
Helmut Doleisch, Philipp Muigg, and Helwig Hauser. 2004. Interactive visual analysis of hurricane isabel with simvis. IEEE Visualization Contest (2004).
[12]
William M Drennan, Jun A Zhang, Jeffrey R French, Cyril McCormick, and Peter G Black. 2007. Turbulent fluxes in the hurricane boundary layer. Part II: Latent heat flux. Journal of the atmospheric sciences 64, 4 (2007), 1103--1115.
[13]
Kelvin K Droegemeier and Robert B Wilhelmson. 1985. Three-dimensional numerical modeling of convection produced by interacting thunderstorm outflows. Part I: Control simulation and low-level moisture variations. Journal of the atmospheric sciences 42, 22 (1985), 2381--2403.
[14]
C. W. Ferreira Barbosa, Y. Dobashi, and T. Yamamoto. 2015. Adaptive Cloud Simulation Using Position Based Fluids. Comput. Animat. Virtual Worlds 26, 3--4 (2015), 367--375.
[15]
Christopher T Fogarty, Richard J Greatbatch, and Harold Ritchie. 2006. The role of anomalously warm sea surface temperatures on the intensity of Hurricane Juan (2003) during its approach to Nova Scotia. Monthly weather review 134, 5 (2006), 1484--1504.
[16]
Si Gao, Shengbin Jia, Yanyu Wan, Tim Li, Shunan Zhai, and Xinyong Shen. 2019. The role of latent heat flux in tropical cyclogenesis over the Western North Pacific: Comparison of developing versus non-developing disturbances. Journal of Marine Science and Engineering 7, 2 (2019), 28.
[17]
I. Garcia-Dorado, D. G. Aliaga, S. Bhalachandran, P. Schmid, and D. Niyogi. 2017. Fast Weather Simulation for Inverse Procedural Design of 3D Urban Models. ACM Trans. Graph. 36, 2, Article 21 (2017), 19 pages.
[18]
G. Y. Gardner. 1985. Visual Simulation of Clouds. In Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '85). Association for Computing Machinery, 297--304.
[19]
C. Gissler, A. Henne, S. Band, A. Peer, and M. Teschner. 2020. An Implicit Compressible SPH Solver for Snow Simulation. ACM Trans. Graph. 39, 4, Article 36 (2020), 16 pages.
[20]
P. Goswami and F. Neyret. 2017. Real-Time Landscape-Size Convective Clouds Simulation and Rendering. In Proceedings of the 13th Workshop on Virtual Reality Interactions and Physical Simulations (Lyon, France) (VRIPHYS '17). Eurographics Association, 1--8.
[21]
E. J. Griffith, F. H. Post, T. Heus, and H. J. J. Jonker. 2009. Interactive simulation and visualisation of atmospheric large-eddy simulations. Technical Report. Technical Report 2 TuDelft Data Visualization Group.
[22]
T. Hädrich, D. T. Banuti, W. Pałubicki, S. Pirk, and D. L. Michels. 2021. Fire in Paradise: Mesoscale Simulation of Wildfires. ACM Trans. on Graph. 40, 4, Article 163 (2021).
[23]
T. Hädrich, M. Makowski, W. Pałubicki, D. T. Banuti, S. Pirk, and D. L. Michels. 2020. Stormscapes: Simulating Cloud Dynamics in the Now. ACM Transaction on Graphics 39, 6, Article 175 (12 2020).
[24]
M. J. Harris, W. V. Baxter, T. Scheuermann, and A. Lastra. 2003. Simulation of Cloud Dynamics on Graphics Hardware. In ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware (San Diego, California) (HWWS '03). Eurographics Association, 92--101.
[25]
Greg J Holland. 1980. An analytic model of the wind and pressure profiles in hurricanes. (1980).
[26]
Greg J Holland and Robert T Merrill. 1984. On the dynamics of tropical cyclone structural changes. Quarterly Journal of the Royal Meteorological Society 110, 465 (1984), 723--745.
[27]
R. A. Houze. 2014. Cloud Dynamics. Elsevier.
[28]
ISO. 1975. Standard Atmosphere. International Organization for Standardization 2533 (1975).
[29]
Takeo Kajishima and Kunihiko Taira. 2016. Computational fluid dynamics: incompressible turbulent flows. Springer.
[30]
J. T. Kajiya and B. P. Von Herzen. 1984. Ray Tracing Volume Densities. SIGGRAPH Comput. Graph. 18, 3 (1984), 165--174.
[31]
Jeffrey D Kepert. 2010. Tropical cyclone structure and dynamics. Global perspectives on Tropical cyclones: from science to mitigation (2010), 3--53.
[32]
Joseph B Klemp. 1987. Dynamics of tornadic thunderstorms. Annual review of fluid mechanics 19, 1 (1987), 369--402.
[33]
James P Kossin and Matthew D Eastin. 2001. Two distinct regimes in the kinematic and thermodynamic structure of the hurricane eye and eyewall. Journal of the atmospheric sciences 58, 9 (2001), 1079--1090.
[34]
Hsiao-Lan Kuo. 1965. On formation and intensification of tropical cyclones through latent heat release by cumulus convection. Journal of the atmospheric sciences 22, 1 (1965), 40--63.
[35]
Lin Li and Pinaki Chakraborty. 2020. Slower decay of landfalling hurricanes in a warming world. Nature 587, 7833 (2020), 230--234.
[36]
Shiguang Liu, Zhangye Wang, Zheng Gong, and Qunsheng Peng. 2007. Real time simulation of a tornado. The Visual Computer 23, 8 (2007), 559--567.
[37]
Shi-guang Liu, Zhang-ye Wang, Zheng Gong, Fei-fei Chen, and Qun-sheng Peng. 2006. Physically based modeling and animation of tornado. Journal of Zhejiang University-SCIENCE A 7, 7 (2006), 1099--1106.
[38]
Jia Luo, Alpesh P Makwana, Dezhi Liao, and J Peter Kincaid. 2008. Hurricane!-a simulation-based program for science education. In 2008 Winter Simulation Conference. IEEE, 2543--2548.
[39]
George L Mellor and Tetsuji Yamada. 1974. A hierarchy of turbulence closure models for planetary boundary layers. Journal of the atmospheric sciences 31, 7 (1974), 1791--1806.
[40]
Mario Marcello Miglietta, Jordi Mazon, and Richard Rotunno. 2017. Numerical simulations of a tornadic supercell over the Mediterranean. Weather and Forecasting 32, 3 (2017), 1209--1226.
[41]
R. Miyazaki, Y. Dobashi, and T. Nishita. 2002. Simulation of Cumuliform Clouds Based on Computational Fluid Dynamics. In Eurographics.
[42]
Ryo Miyazaki, Satoru Yoshida, Yoshinori Dobashi, and Tomoyuki Nishita. 2001. A method for modeling clouds based on atmospheric fluid dynamics. In Proceedings Ninth Pacific Conference on Computer Graphics and Applications. Pacific Graphics 2001. IEEE, 363--372.
[43]
Chin-Hoh Moeng. 1984. A large-eddy-simulation model for the study of planetary boundary-layer turbulence. Journal of the Atmospheric Sciences 41, 13 (1984), 2052--2062.
[44]
F. Neyret. 1997. Qualitative Simulation of Convective Cloud Formation and Evolution. In Computer Animation and Simulation '97. 113--124.
[45]
Tomoyuki Nishita, Yoshinori Dobashi, and Eihachiro Nakamae. 1996. Display of clouds taking into account multiple anisotropic scattering and sky light. In Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. 379--386.
[46]
Leigh Orf. 2019. A violently tornadic supercell thunderstorm simulation spanning a quarter-trillion grid volumes: Computational challenges, I/O framework, and visualizations of tornadogenesis. Atmosphere 10, 10 (2019), 578.
[47]
Leigh Orf, Robert Wilhelmson, Bruce Lee, Catherine Finley, and Adam Houston. 2017. Evolution of a long-track violent tornado within a simulated supercell. Bulletin of the American Meteorological Society 98, 1 (2017), 45--68.
[48]
D. Overby, Z. Melek, and J. Keyser. 2002. Interactive physically-based cloud simulation. In Proceedings of Pacific Graphics. 469--470.
[49]
Wojtek Pałubicki, Miłosz Makowski, Weronika Gajda, Torsten Hädrich, Dominik L. Michels, and Sören Pirk. 2022. Ecoclimates: Climate-response Modeling of Vegetation. ACM Trans. Graph. 41, 4, Article 1 (July 2022), 19 pages.
[50]
Li Peng and HL Kuo. 1975. A numerical simulation of the development of tropical cyclones. Tellus 27, 2 (1975), 133--144.
[51]
Natalia Pilguj, Mateusz Taszarek, Łukasz Pajurek, and Maciej Kryza. 2019. Highresolution simulation of an isolated tornadic supercell in Poland on 20 June 2016. Atmospheric Research 218 (2019), 145--159.
[52]
Wouter Raateland, Torsten Hädrich, Jorge Alejandro Amador Herrera, Daniel T. Banuti, Wojciech Pałubicki, Sören Pirk, Klaus Hildebrandt, and Dominik L. Michels. 2022. DCGrid: An Adaptive Grid Structure for Memory-Constrained Fluid Simulation on the GPU. Proc. ACM Comput. Graph. Interact. Tech. 5, 1, Article 3 (May 2022), 14 pages.
[53]
Edward B Rodgers, William S Olson, V Mohan Karyampudi, and Harold F Pierce. 1998. Satellite-derived latent heating distribution and environmental influences in Hurricane Opal (1995). Monthly weather review 126, 5 (1998), 1229--1247.
[54]
Richard Rotunno and Joseph Klemp. 1985. On the rotation and propagation of simulated supercell thunderstorms. Journal of Atmospheric Sciences 42, 3 (1985), 271--292.
[55]
J. Schalkwijk, H. J. J. Jonker, A. P. Siebesma, and E. Van Meijgaard. 2015. Weather forecasting using GPU-based large-eddy simulations. Bulletin of the American Meteorological Society 96, 5 (2015), 715--723.
[56]
Andrew Selle, Ronald Fedkiw, Byungmoon Kim, Yingjie Liu, and Jarek Rossignac. 2008. An unconditionally stable MacCormack method. Journal of Scientific Computing 35 (2008), 350--371.
[57]
RC Sheets. 1982. On the structure of hurricanes as revealed by research aircraft data. In Intense atmospheric vortices. Springer, 35--49.
[58]
J. Stam. 1999. Stable Fluids. Proc. of ACM SIGGRAPH (1999), 121--128.
[59]
Harvey Thurm Taylor, Bill Ward, Mark Willis, and Walt Zaleski. 2010. The saffirsimpson hurricane wind scale. Atmospheric Administration: Washington, DC, USA (2010).
[60]
Peter J Vickery, PF Skerlj, AC Steckley, and LA Twisdale. 2000. Hurricane wind field model for use in hurricane simulations. Journal of Structural Engineering 126, 10 (2000), 1203--1221.
[61]
U. Vimont, J. Gain, M. Lastic, G. Cordonnier, B. Abiodun, and M.-C. Cani. 2020. Interactive Meso-scale Simulation of Skyscapes. Eurographics (2020).
[62]
A. Webanck, Y. Cortial, E. Guérin, and E. Galin. 2018. Procedural cloudscapes. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 431--442.
Index Terms
- Cyclogenesis: Simulating Hurricanes and Tornadoes
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Published: 19 July 2024
Published in TOG Volume 43, Issue 4
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