GAIA
A framework to study the thermo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) on a global scale in the solar system and beyond.
Description
GAIA is a comprehensive framework designed to study the thermo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) on a global scale within the solar system and beyond. The core part consists of a fluid-dynamics solver for creeping flows under highly spatially varying viscosities with an additional energy solver for natural convection.
Natural convection is a type of heat transfer that occurs due to the movement of a fluid (such as air, water, or in much larger time-scales even rocks) caused by differences in density. When a fluid is heated, it becomes less dense and rises, while cooler, denser fluid sinks. This creates a natural circulation pattern that transfers heat from one area to another without the need for external forces like pumps or fans.
In the context of planetary bodies, natural convection plays a crucial role in the thermal and thermo-chemical evolution of rocky and icy bodies. It drives processes such as mantle convection, which can influence plate tectonics, vulcanism, magnetic field development, and the differentiation of materials within the planet's interior.
Why use GAIA
- Study the thermal and thermo-chemical evolution of planetary bodies
- Study the influence of plate tectonics, magnetic field development, magma oceans, partial melting and mantle differentiation
- Study the effects of varying viscosities on materials under natural convection
- Study the phenomena of natural convection in rocky and icy bodies
How GAIA works
- Solves Navier-Stokes equations for incompressible, low Mach number flows
- Solves different types of energy equations
- Solves Magneto-Hydro-Dynamics (MHD) equations
- Finite-Volume discretization for Voronoi cells
- Many available linear iterative solvers on CSR matrices (e.g. BiCGS(l), IDRS, GMRES, ..)
- Irregular grid for arbitrary geometries (2D + 3D)
- Massively parallel via domain-decomposition for HPC systems
- GPU ready CUDA / hybrid (GPU+CPU) solver, also MPI ready
- No third party libraries or dependencies, DLR C++ code
- Optional interface to MUMPS solver for 2D applications
- Paraview and Python plugins for visualization and data analysis
- Particle / Tracer system
Highlights
- Natural convection of water-like substance under an extreme heat gradient: Video (upper part: velocity, lower part: temperature)
- Natural convection of water-like substance under a less extreme heat gradient in 3D: Video (left: temperature, right: strain rate)
- A heavy DLR Logo with a low viscosity and brittle material sinking in a fluid: Video (left: material, right upper: strain rate, right lower: viscosity)
- Hot liquid in a full-sphere (core-convection) under self-gravity cooled at the boundary under a rotating reference frame: Video (left: temperature side-view, right: temperature top view onto rotation axis)
- Combination: A 3D DLR Logo wants to move to the surface of a sphere that rotates. (Reversed) Reversed Video
Online Demo
A JS compiled (older) version can be found here . Just click Run in the Run tab and switch to Temperature or Velocity tab.
Participating organisations
Reference papers
- 1.Author(s): Christian Hüttig, Nicola Tosi, William B. MoorePublished in Physics of the Earth and Planetary Interiors by Elsevier BV in 2013, page: 11-1810.1016/j.pepi.2013.04.002
- 2.Author(s): Christian Hüttig, Kai StemmerPublished in Geochemistry, Geophysics, Geosystems by American Geophysical Union (AGU) in 200810.1029/2007gc001581
- 3.Author(s): Christian Hüttig, Kai StemmerPublished in Physics of the Earth and Planetary Interiors by Elsevier BV in 2008, page: 137-14610.1016/j.pepi.2008.07.007
Mentions
- 1.Author(s): Cedric Gillmann, Giada N. Arney, Guillaume Avice, M.D. Dyar, Gregor J. Golabek, Anna J.P. Gülcher, Natasha M. Johnson, Maxence Lefèvre, Thomas WidemannPublished in Treatise on Geochemistry by Elsevier in 2025, page: 289-32310.1016/b978-0-323-99762-1.00099-1
- 2.Published in Advances in Geophysics, Geophysical Exploration of the Solar System by Elsevier in 2022, page: 179-23010.1016/bs.agph.2022.07.005
- 3.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 465-47210.1017/9781316534243.025
- 4.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 50-5910.1017/9781316534243.005
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- 8.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 240-27610.1017/9781316534243.017
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- 13.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 38-4910.1017/9781316534243.004
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- 15.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 12-2510.1017/9781316534243.002
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- 26.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2019, page: 340-36810.1017/9781316534243.021
- 27.Author(s): Ana-Catalina Plesa, Christian Hüttig, Florian WillichPublished in High Performance Computing in Science and Engineering ' 17 by Springer International Publishing in 2018, page: 503-51210.1007/978-3-319-68394-2_30
- 28.Author(s): Ana-Catalina Plesa, Christian Hüttig, Maxime Maurice, Doris Breuer, Nicola TosiPublished in High Performance Computing in Science and Engineering ´15 by Springer International Publishing in 2016, page: 675-68710.1007/978-3-319-24633-8_43
- 29.Author(s): Ana-Catalina Plesa, Christian Hüttig, Nicola Tosi, Doris BreuerPublished in High Performance Computing in Science and Engineering ‘14 by Springer International Publishing in 2014, page: 613-62710.1007/978-3-319-10810-0_40
- 30.Author(s): Ana-Catalina Plesa, Nicola Tosi, Doris BreuerPublished in High Performance Computing in Science and Engineering ‘13 by Springer International Publishing in 2013, page: 619-63410.1007/978-3-319-02165-2_43
- 31.Author(s): Ana-Catalina Plesa, Doris Breuer, Tilman SpohnPublished in High Performance Computing in Science and Engineering ‘12 by Springer Berlin Heidelberg in 2012, page: 461-47210.1007/978-3-642-33374-3_34
- 32.Author(s): Ana-Catalina Plesa, Tilman SpohnPublished in High Performance Computing in Science and Engineering '11 by Springer Berlin Heidelberg in 2012, page: 551-56510.1007/978-3-642-23869-7_40
- 33.Published in Introduction to Numerical Geodynamic Modelling by Cambridge University Press in 2009, page: 269-30610.1017/cbo9780511809101.018
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- 42.Author(s): Ana-Catalina Plesa, Nicola Tosi, Christian HüttigPublished in Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences by IGI Global , page: 302-32310.4018/978-1-4666-2190-9.ch015
- 43.Author(s): Lena Noack, Nicola TosiPublished in Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences by IGI Global , page: 324-35210.4018/978-1-4666-2190-9.ch016
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Testimonials
Golden Spike Award 2012, Project: A particle-in-cell Method to model the Influence of Partial Melt on Mantle Convection
Golden Spike Award 2015, Project: Large Scale Numerical Simulations of Planetary Interiors
One of six HPC codes selected to run on HLRS supercomputer Hornet, a Cray XC40 system
Selected cover image for the cover of Journal of Geophysical Research: Planets, Wiley. Publication: Onset of solid-state mantle convection and mixing during magma ocean solidification
Selected cover image for the cover of Geophysical Research Letters, Wiley. Publication: The Thermal State and Interior Structure of Mars
By comparing the numerical simulations with the experiment data, we are able to verify the validity of our computer models and expand the parameter space to ranges not applicable for an experiment.