Abstract
We review recent results in the development of a class of accurate, efficient, high order, dynamically p-adaptive Discontinuous Galerkin methods for geophysical flows. The proposed methods are able to capture phenomena at very different spatial scales, while minimizing the computational cost by means of a dynamical degree adaptation procedure and of a novel, fully second order, semi-implicit semi-Lagrangian time discretization. We then present novel results of the application of this technique to high resolution simulations of idealized non-hydrostatic flows.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Benacchio, T., Wood, N.: Semi-implicit semi-Lagrangian modelling of the atmosphere: a met office perspective. Commun. Appl. Ind. Math. 7, 4–25 (2016)
Bonaventura, L.: A semi-implicit, semi-Lagrangian scheme using the height coordinate for a nonhydrostatic and fully elastic model of atmospheric flows. J. Comput. Phys. 158, 186–213 (2000)
Giraldo, F.X., Kelly, J.F., Constantinescu, E.M.: Implicit-explicit formulations of a three-dimensional nonhydrostatic unified model of the atmosphere (NUMA). SIAM J. Sci. Comput. 35, 1162–1194 (2013)
Hosea, M.E., Shampine, L.F.: Analysis and implementation of TR-BDF2. Appl. Numer. Math. 20, 21–37 (1996)
Robert, A.: Bubble convection experiments with a semi-implicit formulation of the Euler equations. J. Atmos. Sci. 50, 1865–1873 (1993)
Smith, R.B.: The influence of mountains on the atmosphere. Adv. Geophys. 21, 87–230 (1979)
Tumolo, G.: A mass conservative TR-BDF2 semi-implicit semi-Lagrangian DG discretization of the shallow water equations on general structured meshes of quadrilaterals. Commun. Appl. Ind. Math. 7:165–190, 2016.
Tumolo, G., Bonaventura, L.: A semi-implicit, semi-Lagrangian, DG framework for adaptive numerical weather prediction. Q. J. Roy. Meteorol. Soc. 141, 2582–2601 (2015)
Tumolo, G., Bonaventura, L., Restelli, M.: A semi-implicit, semi-Lagrangian, p-adaptive discontinuous Galerkin method for the shallow water equations. J. Comput. Phys. 232, 46–67 (2013)
Acknowledgements
The authors would like to thank Filippo Giorgi for his continuous support and INDAM-GNCS for financial support in the framework of several projects and individual grants. Useful discussions with F.X. Giraldo on the topics addressed in this paper are also gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tumolo, G., Bonaventura, L. (2020). Simulations of Non-hydrostatic Flows by an Efficient and Accurate p-Adaptive DG Method. In: van Brummelen, H., Corsini, A., Perotto, S., Rozza, G. (eds) Numerical Methods for Flows. Lecture Notes in Computational Science and Engineering, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-030-30705-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-30705-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30704-2
Online ISBN: 978-3-030-30705-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)