1 Supporting Information 2 Model and Numerical Method 3 4 The equations, model setup and numerical solution method are basically the same as in 5 Golabek et al. [2011] except in three dimensions (3D) rather than two dimensions (2D). We 6 here give information that is specific to the present 3D experiments, and list all the parameters 7 used. As a general overview, the I3ELVIS code is used to simulate the period between the 8 impact and the end of core formation, then the thermal and compositional fields are 9 transferred to the StagYY code, which is used to simulate Mars' long-term evolution to the 10 present day. 11 12 1. The I3ELVIS code 13 14 The employed numerical code I3ELVIS [Gerya and Yuen, 2007; Gerya, 2010] combines 15 conservative finite differences on a fully staggered grid and marker-in-cell techniques with 16 multigrid solver. The Eulerian computational domain is equivalent to 8000x8000x8000 km 17 and is resolved with a regular rectangular grid of 293x293x293 nodes and contains 100 18 million randomly distributed Lagrangian markers to represent different materials. The 19 "Spherical-Cartesian" approach, in which a spherical body is contained within a Cartesian 20 mesh, is employed for modeling a 3D self-gravitating body with a free planetary surface 21 [Gerya, 2010; Lin et al., 2009]. The momentum, mass and heat conservation equations and 22 Poisson equation for gravitational potential are solved on a non-deforming Eulerian grid 23 whereas the advection of transport properties including viscosity, temperature etc. is 24 performed with moving Lagrangian markers. The free surface boundary condition at the 25 planetary surface is implemented by using a “sticky” atmosphere [Schmeling et al., 2008] 26 with low density (1 kg/m3) and viscosity (1018 Pa s). 27 28 The initial post-impact 3D model setup is based on the simplified approach described in 29 Golabek et al. [2011]. As an initial condition for the differentiation and core formation model 30 after the giant impact, the planet is assumed to be fully accreted, yet not differentiated. This 31 approach, in which the extended accretion history is compressed into an initial condition, has 32 the advantage of conserving the potential energy released by core formation [Golabek et al., 33 2011]. The resulting mantle temperature profile has the benefit of being spatially variable, 34 yielding an early onset of mantle convection. The impact is approximated by a thermal 35 anomaly in the planetary interior containing a spherical iron diapir formed from the core of 36 the impactor. The thermal anomaly is parameterized depending on the size of the impactor 37 and its iron fraction as described by Golabek et al. [2011]. 38 39 The rheological model implies constant low viscosity (1018 Pa s) of iron and molten silicate 40 and visco-plastic rheology of the solid silicate with temperature and strain rate dependent 41 effective viscosity () computed according to experimentally determined flow laws [Ranalli, 42 1995]: dry olivine flow law for the mantle and plagioclase (An75) flow law for the crust. At 43 elevated stresses (typically superior to 0.1 GPa) dry Peierls creep (Katayama and Karato, 44 2008) for the mantle and crust. In addition, visco-plastic rheology of the silicate assumes the 45 viscosity limitation in form 46 47 ≤ (C+P)/ (2II) (1) 48 49 where II is second strain rate invariant (Pa), P is pressure (Pa), is the internal friction 50 coefficient (=0.3 is used for the mantle and =0.2 is used for the crust), C=100 MPa is the 51 rock strength at P =0. The upper and lower viscosity cutoff limits for all materials are 10 24 Pa 52 s and 1018 Pa s, respectively. 53 54 Partial melting of the mantle, melt extraction and percolation toward the bottom of the 55 forming basaltic crust is implemented in a simplified manner. According to our model, mafic 56 magma added to the crust is balanced by melt production and extraction in the mantle. 57 However, melt percolation is not modeled directly and considered to be nearly instantaneous 58 (i.e. within one time step). The standard (i.e. without melt extraction) volumetric degree of 59 mantle melting M0 changes with pressure and temperature according to the linear batch 60 melting model [Golabek et al., 2011]. Lagrangian markers track the amount of melt extracted 61 during the evolution of each experiment. The total amount of melt, M, for every marker takes 62 into account the amount of previously extracted melt and is calculated as 63 64 M = M0 − n Mext (2) 65 66 where n Mext is the total melt fraction extracted during the previous n extraction episodes. 67 The rock is considered non-molten (refractory) when the extracted melt fraction is larger than 68 the standard one (i.e. when n Mext > M0). If M >0 for a given marker, the melt fraction Mext = 69 M is extracted and n Mext is updated. The extracted melt fraction Mext is assumed to 70 propagate much faster than the rocks deform. Melts produced at depths are moved to the 71 surface and added to the bottom of the forming crust. In order to ensure melt volume 72 conservation and account for mantle compaction and subsidence in response to the melt 73 extraction, melt addition to the bottom of the crust is performed at every time step by 74 converting the shallowest markers of mantle into crustal markers. The local volume of these 75 new crustal markers matches the local volume of extracted melt computed for the time step. 76 Following Golabek et al. [2011], basaltic melts are assumed to be only extracted from 77 relatively shallow (<300 km depth) mantle regions with low degree of melting (M0<0.2). 78 79 The effective density of partially molten rocks depends on melt fraction 80 temperature T, pressure P and changes linearly with the amount of melt fraction 81 𝑀, composition c, 82 𝜌𝑒𝑓𝑓 (𝑐, 𝑃, 𝑇, 𝑀) = 𝜌𝑠𝑜𝑙 (𝑐, 𝑃, 𝑇) − 𝑀 [𝜌𝑠𝑜𝑙 (𝑐, 𝑃, 𝑇) − 𝜌𝑙𝑖𝑞 (𝑐, 𝑃, 𝑇)] (3) 83 84 where 𝜌𝑠𝑜𝑙 and 𝜌𝑙𝑖𝑞 are the densities of the solid and liquid silicates, respectively. 85 Densities of solid mantle and crust are self-consistently calculated with the Perple_X package 86 (Connolly, 2005), using the minimization of Gibbs free energy for the corresponding P–T 87 conditions to determine stable minerals for a Mars-like mantle composition (Khan and 88 Connolly, 2008) and basaltic crust. Latent heat associated with phase changes is also 89 considered in the numerical model. 90 91 2. Transferring composition and temperature from I3ELVIS to StagYY 92 93 StagYY [Tackley, 2008] also uses a joint Eulerian-Lagrangian approach, with a fixed 94 Eulerian fully staggered grid and moving Lagrangian markers. Thus, the markers from the 95 I3ELVIS simulation are read into StagYY, transferring compositional information with no 96 loss of accuracy. The initial CMB temperature is based on the mean temperature of the core 97 from the I3ELVIS simulation. Two significant differences in the discretizations are 98 straightforwardly addressed: (i) StagYY treats temperature advection and diffusion purely on 99 the Eulerian grid (using a finite-volume scheme) rather than on markers; therefore the transfer 100 step involves local averaging of marker temperatures to the appropriate locations on the grid. 101 (ii) StagYY uses the yin-yang spherical mesh to model a spherical shell, the outer boundary of 102 which corresponds to the surface of Mars and the inner boundary the core-mantle boundary, 103 instead of embedding a sphere in a Cartesian mesh. This is handled using a straightforward 104 coordinate transformation (from Cartesian to spherical polar coordinates) and discarding of 105 markers that are outside the mantle (such tracers normally track 'air' or 'metal'). 106 107 3. The StagYY code 108 109 The physical model and parameters used in the present 3-D experiments are identical to those 110 in the 2-D experiments of Golabek et al. [2011], which is straightforward because StagYY 111 can model both a full 3-D spherical shell used here and the 2-D spherical annulus [Hernlund 112 et al. 2008] used in Golabek et al. [2011]. The physical parameters including the rheology, 113 radioactive heating, solidus etc. in StagYY are adjusted to match as well as possible those 114 used in the I3ELVIS part of the experiment. As in I3ELVIS, melt that is shallower than a 115 certain depth is instantaneously moved to the crust. Golabek et al. [2011] detail the StagYY 116 treatments of multiple composition-dependent phase transitions, heat-producing element 117 fractionation, and increase in solidus with degree of depletion. 118 119 4. Model parameters 120 121 In all models, we include time-dependent radioactive heating by both short- and long-lived 122 radiogenic isotopes, with concentrations based on chondritic abundances [Barr and Canup, 123 2008]. We assume that 40K and 60Fe partition into the iron core, whereas 124 232 125 The parameters of the model are defined in the following table: 26 Al, 235 U, 238U and Th remain in the martian mantle. 126 Parameter Symbol Value Units R 3.389 × 106 m Density of uncompressed solid mantle sol 3500 kg m-3 Density of uncompressed molten mantle liq 2900 kg m-3 Density of uncompressed iron Fe 8000 kg m-3 Radius of Mars Mantle basalt fraction after core formation f 0.15 Cohesion 1.00 × 108 Friction coefficient 0.2-0.3 Peierls stress P 9.1 × 109 Pa Activation energy Ea 532 kJ mol-1 Activation volume Va 8.00 × 10-6 m3 mol-1 Dislocation creep onset stress 0 3.00 × 104 Pa Power law exponent n 3.5 Latent heat of melting L 400 kJ kg-1 Heat capacity of silicate cP 1000 J kg-1 K-1 cP-Fe 1000 J kg-1 K-1 Thermal expansivity of solid silicate Si-sol 3.0 × 10-5 K-1 Thermal expansivity of molten silicate Si-liq 6.0 × 10-5 K-1 Thermal expansivity of solid iron Fe-sol 1.0 × 10-5 K-1 Thermal expansivity of molten iron Fe-liq 1.0 × 10-5 K-1 Thermal conductivity of solid silicate k Si-sol 3 W m-1 K-1 Thermal conductivity of molten silicate k Si-liq 3.0 × 105 W m-1 K-1 Thermal conductivity of solid iron k Fe-sol 1.0 × 102 W m-1 K-1 Thermal conductivity of molten iron k Fe-liq 3.0 × 105 W m-1 K-1 Effective thermal conductivity of molten materials Keff 3.0 × 105 W m-1 K-1 Crustal radiogenic heating enrichment factor 1 Heat capacity of iron Pa 127 128 The temperature and the viscosity of the sticky atmosphere have been considered constant all 129 over the surface at values of 273 K and 1018 Pa s, respectively, and we used initial isothermal 130 temperature profiles close to the surface solidus temperature of peridotite (T = 1200-1400 K). 131 132 References 133 Barr, A. C., and R. M. Canup (2008), Constraints on gas giant satellite formation from the interior states of 134 135 136 137 138 139 partially differentiated satellites, Icarus, 198(1), 163-177, doi:Doi 10.1016/J.Icarus.2008.07.004. Connolly, J.A.D. (2005) Computation of phase equilibria by linear programming: A tool for geodynamic modeling and its application to subduction zone decarbonation. Earth Planet. Sci. Lett., 236, 524–541. Gerya, T. V. (2010), Introduction to Numerical Geodynamic Modelling, 345 pp., Cambridge University Press, Cambridge. Gerya, T. V., and D. A. Yuen (2007), Robust characteristics method for modelling multiphase visco-elasto- 140 plastic thermo-mechanical 141 doi:10.1016/j.pepi.2007.04.015. problems, Phys. Earth Planet. Int., 163, 83-105, doi: 142 Golabek, G. J., T. Keller, T. V. Gerya, G. Zhu, P. J. Tackley, and J. A. D. Connolly (2011), Origin of the martian 143 dichotomy and Tharsis from a giant impact causing massive magmatism, Icarus (USA), 215(1), 346-357, 144 doi:10.1016/j.icarus.2011.06.012. 145 146 Hernlund, J. W., and P. Tackley (2008), Modeling mantle convection in the spherical annulus, Phys. Earth Planet. Int., 171(1-4), 48-54, doi:10.1016/j.pepi.2008.07.037. 147 Katayama, I., Karato, S.-I. (2008) Rheological structure and deformation of subducted slabs in the mantle 148 transition zone: implications for mantle circulation and deep earthquakes. Phys. Earth Planet. Interiors, 149 168, 125–133. 150 151 Khan, A., Connolly, J.A.D. (2008) Constraining the composition and thermal state of Mars from inversion of geophysical data. J. Geophys. Res., 113, E07003. 152 Lin, J.-R., T. V. Gerya, P. J. Tackley, D. A. Yuen, and G. J. Golabek (2009), Numerical modeling of protocore 153 destabilization during planetary accretion: Methodology and results, Icarus (USA), 204(2), 732-748. 154 Ranalli, G. (1995), Rheology of the Earth, 2nd ed., 413 pp., Chapman and Hall, London. 155 Schmeling, H., et al. (2008), A benchmark comparison of spontaneous subduction models--Towards a free 156 157 surface, Phys. Earth Planet. Inter. (Netherlands), 171(1-4), 198-223. Tackley, P. J. (2008), Modelling compressible mantle convection with large viscosity contrasts in a three- 158 dimensional 159 doi:10.1016/j.pepi.2008.1008.1005 160 161 spherical shell using the yin-yang grid, Phys. Turcotte, D. L., Schubert, G., (2002), Geodynamics. Cambridge University Press. Earth Planet. Int., 162 163 164 165 166 Fig. S1. Evolution of the Martian dichotomy, from 0.25 Ga to 3.5 Ga after CAI, formed by an 167 impactor of 1600 km of radius and 80% of iron in radius. The first column shows the surface 168 topography while the second column shows the crustal thickness. a) Surface topography 0.25 169 Ga after CAI. The dichotomy has already formed. The highlands are indicated by red, the 170 transition topography by yellow and green, and the lowlands by blue. b) Crustal thickness 171 0.25 Ga after CAI. New crust has formed in the southern hemisphere. c) Surface topography 172 0.5 Ga after CAI. The topography in the highlands has become heterogeneous while the 173 transition topography (pale blue) decreases its extent. d) Crustal thickness 0.5 Ga after CAI. 174 The growth of the new crust under the highlands occurs mainly at mid-high latitudes with 175 pockets concentrated in the western hemisphere and an isolated ridge in the polar area of the 176 eastern hemisphere. e) Surface topography 1.0 Ga after CAI. The highlands have stabilized at 177 around 20 degrees of latitude south while the transition topography starts to expand towards 178 the lowlands modified by volcanic processes occurring along the equatorial regions. f) Crustal 179 thickness 1.0 Ga after CAI. The crust under the highlands grows following the pattern 180 established in the previous 0.5 Ga. A few pockets of crust appear under the northern polar 181 region. g) Surface topography 1.5 Ga after CAI. There is a vigorous expansion of the 182 transition topography after the volcanic activity and the appearance of a topographic “island” 183 of likely volcanic origin in the northern polar region. h) Crustal thickness 1.5 Ga after CAI. 184 The growth of the crust under the highlands has become more homogeneous, decreasing the 185 number of pockets, while the topographic island in the northern hemisphere is not followed by 186 crustal growth underneath. The number of pockets of new crust increases in the northern 187 hemisphere instead. i) Surface topography 2.0 Ga after CAI. The expansion of a Tharsis-like 188 and an Elysium-like feature astride the Equator at the dichotomy boundary has begun (white 189 arrows). The two features are at an angular distance of roughly 90 degrees to each other, 190 similar to Tharsis and Elysium. j) Crustal thickness 2.0 Ga after CAI. The pockets of new 191 crust increase both their extent and number under the southern and the northern hemispheres. 192 k) Surface topography 2.5 Ga after CAI. The Tharsis-like and Elysium-like features start to 193 take shape while sub-polar Scandia-like features start to appear (white arrows). l) Crustal 194 thickness 2.5 GA after CAI. The crustal growth is now stabilized both under the southern and 195 the northern hemispheres. m) Surface topography 3.5 Ga after CAI. The topographic island at 196 the North Pole has disappeared while the Scandia-like features remain as well as the Tharsis- 197 like and Elysium-like features (white arrows). The dichotomy has now acquired the final 198 configuration that can be seen today. However, the Tharsis-like and Elysium-like features do 199 not match the extent of the original ones at this resolution. n) Crustal thickness 3.5 Ga after 200 CIA. The crustal thickness has also acquired the final configuration. 201 202 Figure S2. Evolution of the Martian dichotomy, from 0.25 Ga to 3.5 Ga after CAI, formed by 203 an impactor of 2000 km of radius and 50% of iron in radius. The first column shows the 204 surface topography while the second column shows the crustal thickness. a) Surface 205 topography 0.25 Ga after CAI. a) Surface topography 0.25 Ga after CAI. The dichotomy has 206 already formed, the highlands are indicated by red, the transition topography by yellow and 207 green, and the lowlands by blue. There is a striking similarity in latitude with the result 208 obtained by the impactor of 1600 km and 80% of iron. b) Crustal thickness 0.25 Ga after CAI, 209 new crust has formed in the southern hemisphere and it is almost comparable with the 210 previous experiment. c) Surface topography 0.5 Ga after CAI. Although the latitude is also 211 comparable to the corresponding one in the 1600 km impactor, the border of the dichotomy 212 appears more frayed. d) Also the crustal thickness is comparable 0.5 Ga after CAI. e) Surface 213 topography 1.0 Ga after CAI, the first “fjords” start to appear along the border. f) Crustal 214 thickness 1.0 Ga after CAI, the frayed pattern that started to appear on the topography was 215 already present in the crustal thickness since the beginning. g) Surface topography 1.5 Ga 216 after CAI, the transition topography starts to protrude into the lowlands but is less developed 217 than the one produced by the previous experiment. h) Crustal thickness 1.5 Ga after CAI, the 218 crustal production under the transition topography starts to appear. i) Surface topography 2.0 219 Ga after CAI, the transition topography is more extended in the northern polar area with 220 respect to the previous experiment. j) Crustal thickness 2.0 Ga after CAI, patches of crust 221 become more developed under the transition topography in the northern polar area and in the 222 equatorial stripe. k-n) No significant variations are observed from 2.5 to 3.5 Ga after CAI. 223