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Challenges and Opportunities in Modeling Mantle Convection Shijie Zhong Department of Physics University of Colorado at Boulder SDSC, 2006. Outline. Introduction. What is mantle convection and why it is interesting/important. 2) Unique challenges in mantle convection modeling.
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Challenges and Opportunities in Modeling Mantle Convection Shijie Zhong Department of Physics University of Colorado at Boulder SDSC, 2006
Outline • Introduction. • What is mantle convection and why it is interesting/important. 2) Unique challenges in mantle convection modeling. • Multi-scale physics and non-linear and highly variable rheology. 3) Current status and opportunities.
What is mantle convection? • Objectives: Understand the long-term heat and mass transfer and structure formation in the mantle and its consequences to surface geological, geochemical and geophysical observables and evolution of the Earth and other planets. • Physical basis: Treat the mantle as viscous flow. Conservation of MASS, ENERGY, and MOMENTUM + VISCOUS rheological equation.
Surface Observations Controlled by Plate Tectonics Seafloor topography
Tectonic Engine: Mantle Convection Powered by radiogenic heating & primordial heating
Mantle Structure From Seismic Tomography Grand, van der Hilst, & Widiyantoro [1997]
A Simple Picture of the Mantle: Boundary Layers Montelli et al. [2004] van der Hilst [1995]
Vs Vc Compositionally Distinct Mantle Reservoirs at the Core-Mantle Boundary Region? A lot of geochemical evidences. Masters et al. [2000]. Ishii & Trump [1999] Important implications for the cooling of the core and geodynamo! Ni & Helmberger [2003], Wen et al. [2001]
Mantle Convection Studies Seek Answers to: What controls the origin of plate tectonics? Why do not Venus and Mars have plate tectonics?
Vs Vc Mantle Convection Studies Seek Answers to: formation and evolution of mantle thermal and compositional structures.
Mantle Convection Studies Seek Answers to: thermal and tectonic evolution of the Earth and other terrestrial planets.
Outline • Introduction. • What is mantle convection and why it is interesting/important. 2) Unique challenges in mantle convection modeling. • Multi-scale physics and non-linear and highly variable rheology. 3) Current status and opportunities.
Van Keken et al., 1997 Multi-scale (from 100 km to 104 km) Physics • Plate margins and faults: • ~100- 102km. 2) Upwelling and downwellings: ~ 102km. 3) Chemical entrainment: ~ 10s-102km. 4) Plate scales: ~ 103-104km.
Nonlinear and Highly Variable Rheology • Faulting and Plastic deformation: nonlinear 2) Highly temperature-dependent viscosity for silicate mantle (up to 3 orders of magnitude variations in plumes and downwellings).
Outline • Introduction. • What is mantle convection and why it is interesting/important. 2) Unique challenges in mantle convection modeling. • Multi-scale physics and non-linear and highly variable rheology. 3) Current status and opportunities.
Various Methods 1) Spectral methods [Glatzmaier et al., 1990; Zhang and Christensen, 1993]. 2) Finite volume methods [Ratcliff et al., 1997; Hansen, 2004]. 3) Finite elements [Baumgardner, 1985; Zhong et al., 2000].
A Finite Element Code: CitcomS[Zhong, Zuber, Moresi & Gurnis, 2000] • Derived from Original Cartesian Citcom [Moresi & Gurnis, 1996]. • Quasi-uniform grid spacing on a spherical surface. • Uzawa algorithm with full multigrid solver (memory usage ~ N, # of flops ~ N). Suitable for parallel computing.
Quasi-uniform Grids on A Spherical Surface Zhong, Zuber, Moresi, & Gurnis [2000]
Benchmarks on Parallel Supercomputers Recently, favorable benchmark results were obtained for CitcomS on IBM BlueGene using ~ 10,000 processors [King, 2005]. Intel Paragon with 512 processors at Caltech’s CACR Zhong et al., 1995
Thermal Convection with Temperature-dependent Viscosity and Plates Zhong, Zuber, Moresi, & Gurnis [2000]
Mantle Convection with Distinct Mantle Reservoirs McNamara and Zhong [2005] (figure courtesy of Chuck Meertens, GEON)
Hardware Requirement • Most of the current global mantle convection applications have 60-km horizontal and 40-km vertical resolution on ~50-100 processors (PC-clusters). • Hope to have ~10-20 km resolution (~109 grid points, 1 Tbytes RAM). • So far, only a test case was done on Earth Simulator with ~20 km resolution using Terra code for constant mantle viscosity [Yanagisawa & Yamagishi, 2005]. • Modeling nonlinear plate boundary processes is even more demanding.
Computational Infrastructure for Geodynamics (CIG) • Funded by the NSF and participated by ~40 institutes and universities. • Lead the effort in developing more robust and efficient modeling software (reusable modules) in mantle convection and other areas in deep Earth Geophysics research. • Freely downloadable software packages. • At the moment, Petascale computing is not a priority, but should be our focus in the near future.