Seismic evidence for subduction-induced mantle flows underneath Middle America


Laboratory experiments and geodynamic simulations demonstrate that poloidal- and toroidal-mode mantle flows develop around subduction zones. Here, we use a new 3-D azimuthal anisotropy model constructed by full waveform inversion, to infer deep subduction-induced mantle flows underneath Middle America. At depths shallower than 150 km, poloidal-mode flow is perpendicular to the trajectory of the Middle American Trench. From 300 to 450 km depth, return flows surround the edges of the Rivera and Atlantic slabs, while escape flows are inferred through slab windows beneath Panama and central Mexico. Furthermore, at 700 km depth, the study region is dominated by the Farallon anomaly, with fast axes perpendicular to its strike, suggesting the development of lattice-preferred orientations by substantial stress. These observations provide depth-dependent seismic anisotropy for future mantle flow simulations, and call for further investigations about the deformation mechanisms and elasticity of minerals in the transition zone and uppermost lower mantle.


Mapping mantle flows induced by descending oceanic lithospheres has profound implications for understanding the dynamic, thermal and chemical evolution of subduction systems1,2. Two end-member flow circulation patterns have been proposed based on geodynamical, geochemical and seismological observations. The first end-member suggests that the downdip movement of slabs entrains mantle flows to great depths, causing 2-D corner flows perpendicular to the trench in the mantle wedge and beneath the slabs, also known as the poloidal-mode flow3. The second end-member suggests that, to preserve the mass displaced by trench migration and slab rollback, 3-D return flows develop in the sub-slab region and surrounding the lateral edge of sinking slabs, also known as the toroidal-mode flow. The toroidal-mode flow typically happens for convergent plate margins with fast trench migration speeds4,5, and is important for controlling trench curvature6. To date, the behaviors of these two end-members have been extensively investigated using laboratory experiments7,8 and mantle flow simulations9,10.

Seismic anisotropy is a valuable tool to detect mantle flows in subduction zones11,12. Olivine and orthopyroxene, two dominant upper mantle minerals, are intrinsically anisotropic in terms of seismic wavespeeds13,14. The strain-induced lattice-preferred orientation (LPO) of olivine leads to the direction and polarization dependence of seismic wavespeeds15, which can be detected using shear wave splitting and surface wave tomography. Previous shear wave splitting studies document a trench-parallel pattern beneath the fore-arc and the subducted slab4,16, as well as a trench-perpendicular pattern in the back-arc mantle3. However, shear wave splitting measurements represent the path-integrated effects of anisotropy over the entire raypath, leading to poor vertical resolution and controversial interpretations17. Surface wave tomography, on the other hand, enables us to constrain depth-dependent azimuthal anisotropy by taking advantage of the dispersive characteristics of Rayleigh and Love waves18,19,20,21. However, its lateral resolution is typically limited to several hundreds of kilometers due to the use of long-period signals, making it difficult to resolve small-scale features, such as the toroidal-mode mantle flows in the vicinity of sinking slabs. The different lateral and depth resolutions of shear wave splitting and surface wave tomography also make it challenging to reconcile these two independent measurements20,22.

In this study, we characterize detailed, depth-dependent seismic anisotropy for the Middle American and Caribbean subduction systems using full waveform inversion23,24,25. The Middle American Subduction Zone (MASZ) is a 2700 km long, active convergent margin, stretching from Mexico to Costa Rica (Fig. 1), which involves the subduction of the young Rivera and Cocos Plates underneath the North American and Caribbean Plates. Both the Rivera and Cocos Plates are the remnants of the ancient Farallon Plate, which broke into several fragments in the Oligocene26. Currently, the 10 Myr oceanic crust of the Rivera Plate is subducting underneath the Jalisco Block of Mexico at a speed of 30 mm/yr. Along the strike of the Middle American Trench (MAT), the convergence rate of the Cocos Plate relative to the overriding Caribbean Plate increases from 50 mm/yr in southern Mexico to 90 mm/yr offshore Nicaragua and Costa Rica27.

Fig. 1: Tectonic map for the Middle American and Caribbean Subduction Zones.

Black lines denote global plate boundaries with triangles showing subduction directions87. Red triangles are volcanoes ( Blue arrows denote plate motion directions58, and yellow arrows show trench migration velocities55, all with the Pacific hotspot reference frame. The top right insert shows the location of the study region, with the red box showing the inversion domain. Beach balls denote the moment tensor solutions for earthquakes used in the inversion ( Abbreviations for tectonic structures are: CAVA Central American Volcanic Arc, CR Cocos Ridge, EGG El Gordo Graben, LAVA Lesser Antilles Volcanic Arc, SCDZ Southern Caribbean Deformation Zone, SOFS Septentrional-Oriente Fault System, SSEP San Sebastian-El Pilar Fault System, TFZ Tehuantepec Fracture Zone, TMVB Tran-Mexico Volcanic Belt.

As forming in the Cretaceous, the Caribbean Plate has undergone complicated interactions with the North American, South American and Farallon Plates28. It is now bounded to the north by a 1200 km east-west orientated, left-lateral Septentrional-Oriente Fault System, and to the south by another >1000 km long, right-lateral fault, the San Sebastian-El Pilar Fault System. To the west, it is confined by the eastward descending Cocos Plate, and to the east by the westward sinking Atlantic Oceanic lithosphere to form the Lesser Antilles Volcanic Arc (LAVA). The transition from the subduction of the Atlantic slab to transform motion along the San Sebastian-El Pilar Fault System has been suggested as an example of a Slab-Transform Edge Propagator (STEP) fault29. Two tectonic reconstructions have been proposed to explain the origin of the Caribbean Plate: the Pacific30 and intra-Americas origin31, placing this plate to the west and east of the Farallon Plate in the Cretaceous, respectively. The arcuate-shaped Antilles Subduction Zone is still an enigma in Middle America, which includes the Greater Antilles in the north underneath Hispaniola and Puerto Rico, and the Lesser Antilles in the southeast (Fig. 1). The shallow portion of the subducting slab can be directly inferred from the Wadati-Benioff zone32. In the lower mantle, the slabs underneath the Caribbean Plate merge with the Cocos Plate into the prominent fast Farallon anomaly, which has been detected in global tomography models33,34.

The Middle American and Caribbean Subduction Zones are ideal locations to investigate the dynamics of subduction systems because of strong variations in the slab morphology35, fast trench migration speeds (20–30 mm/yr)5, the concave-shaped LAVA, as well as heterogeneous geochemical observations in the Trans-Mexico Volcanic Belt (TMVB)36 and Central American Volcanic Arc (CAVA)37. All these features indicate complex mantle flows and subduction processes underneath Middle America, which are explored by using a new azimuthal anisotropy model US32 in this study.


3-D azimuthal anisotropy model US32

With the framework of full waveform inversion, we combine three-component short-period (15–40 s) body waves with long-period (25–100 s) surface waves to simultaneously constrain deep and shallow structures underneath North and Middle America. The current azimuthal anisotropy model, named US32, is constrained by using 180 earthquakes and 4516 seismographic stations (Supplementary Fig. 2), cumulating in 586,185 frequency-dependent phase measurements. 1579 stations from the USArray Transportable Array, and other permanent and temporary arrays in North and Middle America are used in the inversion, including the Mapping the Rivera Subduction Zone (MARS), Tomography Under Costa Rica and Nicaragua (TUCAN), Meso-America Subduction Experiment (MASE), Veracruz-Oaxaca Subduction (VEOX), etc. Supplementary Table 1 gives the numbers of stations in major contributing arrays (with stations > 30) located in Middle America and used for constructing model US32. The current model is the result of 32 preconditioned conjugate gradient iterations. The first 22 iterations are utilized to constrain radially anisotropic model parameters, including horizontally propagating, vertically (βv) and horizontally (βh) polarized shear wavespeeds38. The last ten iterations are used to further constrain radially (L and N) and azimuthally anisotropic (Gc and Gs) model parameters. These four model parameters are simultaneously updated using the Fréchet derivatives calculated by the adjoint state method, details for constructing the model can be found in Zhu et al.39 and methods.

Figure 2 demonstrates the capability of full waveform inversion to match three-component observed (black) and predicted (red) seismograms for a shallow earthquake that occurred in 2012 underneath Costa Rica, both observations and predictions are bandpass filtered from 25 to 100 s. High-quality data from the high-density USArray enables us to capture complex, triplicated body waves passing through the upper mantle discontinues, and offers us opportunities to harness these signals for delineating detailed structures near these phase transition boundaries. In Fig. 2, three-component body waves, as well as Rayleigh and Love waves are matched very well, suggesting that the mantle structures underneath Middle America are well constrained in the current model US32. More waveform fittings can be found in Supplementary Note 1, and comparisons with previous tomographic studies can be found in Supplementary Note 6.

Fig. 2: Comparisons of observed and predicted seismograms from model US32.

a The locations of 1 earthquake and 58 stations from the USArray deployed in the eastern U.S. This Mw 6.0 earthquake occurred at a depth of 18.3 km underneath Costa Rica on October 24th, 2012 (CMTSOLUTION_201210240045A). b The theoretical ray paths of P (blue), S (green), ScS (yellow) phases in the spherical symmetric PREM model88, with the epicentral distance equal to 25°. Red lines denote the 220, 410, 660-km discontinuities and the core mantle boundary. c Compares three-component, observed (black) and predicted (red) seismograms for TA stations shown in a. From left to right are vertical, radial and transverse components, respectively. Blue, green and yellow lines denote the theoretical arrival times for P, S and ScS phases from the PREM model. Both observed and predicted seismograms are bandpass filtered from 25 to 100 s.

Resolution analysis

Analyzing resolution or uncertainty of full waveform inversion is important and challenging, considering computational costs for performing iterative inversion40,41,42,43. Here, we use the approximated diagonal Hessian and point-spread functions (PSFs) to analyze illumination, resolution, and more importantly tradeoffs among different model parameters for several key features discussed in the following sections. Figure 3 shows the horizontal distribution of the approximated diagonal Hessian underneath Middle America at depths ranging from 100 to 600 km, which is a good indicator for the ray density coverage44. Owing to the configuration of stations and earthquakes (Supplementary Fig. 2), the illumination for North America, the MAT and the Lesser Antilles is good at all depth ranges. In contrast, the illumination for the central Caribbean is not as good as other regions, especially at greater depths.

Fig. 3: The distribution of the approximated diagonal Hessian for the study region.

af Results at depths ranging from 100 to 600 km. Warm color represents good illumination in comparison to cool color.

Figure 4 presents one PSF test around the Rivera slab offshore Mexico, a location with interesting features for discussing toroidal-mode mantle flows. In this calculation, a Gaussian anomaly with a half width of 120 km is added to Gs at a depth of 350 km, and three other model parameters (Gc, L and N) are held unchanged. Results for this PSF test suggest that there are good constraints for the fast axis orientations at this location, which depend on the ratio between Gc and Gs. For instance, there is limited leakage from Gs to other three model parameters, and the resulting PSF for Gs perturbation is well focused. More PSF tests can be found in Supplementary Note 2. These PSFs give us confidence about the distributions of wavespeeds and anisotropic fabrics at these locations.

Fig. 4: One point-spread function test at 350 km offshore Mexico.

ad The input Gaussian perturbations for Gc, Gs, L and N, respectively. eh The PSFs with respect to these four model parameters.

Shallow structures

Figure 5 presents horizontal cross sections of isotropic shear wavespeed anomalies and fast axis orientations in model US32 at depths ranging from 50 to 700 km (more slices can be found in Supplementary Note 3). The detailed morphologies of the descending Rivera, Cocos, Caribbean and Atlantic slabs can be examined in the vertical cross sections of Fig. 6 and 3-D iso-surface visualization in Fig. 7. At depths shallower than 200 km, anisotropic signatures in model US32 follow wavespeed heterogeneities, tectonic provinces as well as global plate motion directions (Figs. 8 and 9). For instance, the fast directions are mostly perpendicular to the strike of the MAT, reflecting 2-D subduction-induced corner flows at shallow depths3. The East Pacific Rise is characterized by prominent slow wavespeed anomalies, and the anisotropic fabrics are aligned perpendicular to the ridge axis, in agreement with seafloor spreading between the Pacific and Cocos Plates. Furthermore, underneath the western Atlantic Ocean, the fast directions are running parallel to the U.S. coastline, suggesting the development of asthenospheric flows surrounding the deep keel of the North American lithosphere45, which reaches to around 250 km (Supplementary Fig. 12). Another potential interpretation of this pattern could be mantle flows affected by the subduction of the Nazca and Farallon slabs as demonstrated in geodynamic flow simulations46,47. At depths in excess of 300 km, model US32 exhibits several fast wavespeed anomalies associated with the descending Rivera, Cocos, Atlantic and Caribbean Plates, as well as complicated anisotropic fabrics in their vicinity.

Fig. 5: Horizontal cross sections of relative perturbations in isotropic shear wavespeed and azimuthal anisotropy in model US32.

af Results at depths ranging from 50 to 700 km. 1D reference model STW10589 is used to calculate the relative wavespeed perturbations. The direction and magnitude of the fast axes are given by the orientation and length of the black bars. Key features discussed in the main text are highlighted by arrows, and white lines denote global plate boundaries87. Blue arrows at depths ranging from 50 to 300 km denote plate motion directions58.

Fig. 6: Vertical cross sections of relative perturbations in isotropic shear wavespeed for the Middle American and Caribbean Subduction Zones.

a Shear wavespeed anomalies and fast directions at a depth of 450 km, as well as the locations of four vertical cross sections shown in be. The dashed black lines in these cross sections denote the 220, 410 and 660-km discontinuities. Earthquakes with magnitude >5 are shown by white circles, and red triangles represent volcanoes. CAVA Central American Volcanic Arc, CT Cayman Trough, SNSM Sierra Nevada de Santa Marta, LAVA Lesser Antilles Volcanic Arc, SdP Serranía del Perijá, TMVB Trans-Mexico Volcanic Belt.

Fig. 7: 3-D iso-surface representations of fast wavespeed anomalies with magnitude >1.5% (green bodies), and fast axes (yellow arrows) at a depth of 500 km in model US32.

Topographic variations are superimposed on top of the 3-D iso-surface bodies. Fast anomalies shallower than 250 km, mainly the North and South American lithospheres, are clipped for better visualization of sinking slabs. Cyan arrows are used to highlight slab features, whereas orange arrows are used to denote mantle flow fields.

Fig. 8: Angle differences between the fast axis orientations in model US32 and the plate motion model NUVEL-1A58 with the hotspot reference frame.

af Results at depths ranging from 70 to 400 km, with warm color representing large angle differences. Blue lines denote the plate boundaries87.

Fig. 9: The histograms of angle differences between the fast axis orientations in model US32 and the plate motion model NUVEL-1A58.

af Results at depths ranging from 70 to 400 km. Blue and red histograms are results for the hotspot and no-net rotation reference frames, respectively. Numbers in the brackets to the right corner of each histogram denote mean angle differences between these measurements.

Subduction-induced mantle flows

The narrow Rivera slab is imaged dipping ~40° northeast underneath the Jalisco Block in Mexico (profile A-a in Fig. 6). It appears that the Rivera slab is detached from the surface, despite the occurrence of Mw > 5 earthquakes at depths shallower than 150 km, which is consistent with global tomography results48. Its mantle wedge is characterized by slow wavespeed anomalies, suggesting the ascent of hot asthenosphere from 400 km towards the TMVB, which might explain uplift and low Bouguer gravity anomalies (~−100 mgal) in this region (Supplementary Fig. 1). The subducted Rivera and Cocos slabs are separated by a slab window, filled with pronounced slow anomalies (<−2%) from 300 km down to the transition zone around 12–18°N (Fig. 5), in agreement with previous body and surface wave tomographic results49,50. Furthermore, the fast axes are revealed following the lateral edge of the Rivera slab, and moving across the slab window (Figs. 5 and 7). This pattern reflects the development of return flows surrounding the narrow (~200 km), fast rollback (~31 mm/yr) Rivera slab, as well as escape flows moving across slab windows, owing to large pressure gradients created by slab fragmentations as demonstrated in previous physical and numerical experiments6,7. The return flows and slab detachment might contribute to the observed mixed subduction-related calc-alkaline rocks with intraplate-like lavas and adakites along the TMVB36, as well as the unusual oblique angle (16°) between the MAT and TMVB.

In profile B-b (Fig. 6) and 3-D visualization (Fig. 7), the Cocos slab plunges ~60° down to the transition zone underneath Nicaragua and Costa Rica. Its northern boundary is truncated sharply along the extension of the Septentrional-Oriente Fault System (Fig. 5). Flat subduction of the Cocos Plate might exist underneath central Mexico (Supplementary Fig. 14), however, it is still challenging to detect thin, horizontal contrasts at shallow depths using seismic tomography because of its limited vertical resolution. The observation of different dip angles of the Rivera and Cocos slabs along the strike of the MAT is consistent with previous studies from seismicity distribution35, local tomography49 and receiver functions51. The steeper dip of the Cocos slab can be attributed to its older age (23 Myr) and therefore greater density. Similar to the Rivera slab, the Cocos slab is also detached from the surface, with the mantle wedge filled with strong slow seismic anomalies connecting to the CAVA and Cayman Trough. Moreover, the trench-parallel anisotropic pattern is observed in the sub-slab region of the Cocos slab at depths ranging from 300 to 450 km (Fig. 5). There is a sharp transition in the mantle wedge from the trench-parallel pattern at 50 km to the trench-perpendicular pattern at greater depths. These complex, depth-dependent anisotropic fabrics suggest the development of toroidal-mode flows in the sub-slab region, in response to fast slab rollback (25 mm/yr) of the MAT5. Toroidal-mode flows are forced to tilt toward shallower depths in the mantle wedge due to fast slab rollback, and interfere with the corner flows entrained by the downdip motion of the Cocos slab, in agreement with 3-D geodynamic flow simulations9. Furthermore, the fast axes in model US32 run across the Panama slab window28 between the Cocos and Nazca Plates at 300–400 km depth. This observation supports the hypothesis about the subduction of the Cocos-Nazca Ridge and Galápagos hotspot track in this region28, and offering an explanation about the occurrence of Neogene alkaline and arc-tholeiitic volcanism in Panama52.

Underneath the LAVA, the Atlantic lithosphere sinks toward the west with ~50° dip down to the transition zone (Figs. 6C-c and 7). In contrast to the Rivera and Cocos slabs, the Wadati-Benioff zone beneath the LAVA reflects subduction from the surface down to 200 km, with a slow anomaly imaged in the mantle wedge underneath the LAVA. In Fig. 5, there are two fast bodies at 300–400 km depth, one underneath Puerto Rico and the other underneath the southern LAVA, which are separated by a slab window around 16–18°N. Previous P wave tomography studies report a similar feature, which was attributed to the subducted North American-South American plate boundary28,53. Similar to the anisotropic fabrics observed around the Rivera slab, the fast directions surround the lateral edge of the descending Atlantic lithosphere, and move across the slab window (Figs. 5 and 7). This pattern suggests the development of return flows warping around the narrow, rapidly advancing (17 mm/yr) Atlantic slab, which pushes materials within the mantle wedge and induces flows around its edge. The current model fails to delineate east-west oriented anisotropic fabrics along the San Sebastian-El Pilar Fault System as demonstrated in shear wave splitting54, suggesting limited resolution due to the lack of stations at this location (Supplementary Fig. 2).

In profile D-d (Fig. 6), the Caribbean slab dips southeast underneath the Southern Caribbean Deformation Zone and Maracaibo Block. Its dip increases from 30° at depths shallower than 200 km to around 90° at greater depths, which might be affected by the presence of the thick (~250 km), craton-like overriding South American Plate. To the northwest, the Cayman Trough is underlain by a triangular slow anomaly (<−1.5%) down to 300 km, reflecting strong deformation owing to the relative motion and pull-apart between the North American and Caribbean Plates along the Septentrional Fault System since the Eocene28. By pushing mantle materials in the sub-slab region, the fast northwestward rollback of the Caribbean slab (22 mm/yr)55 might also contribute to the observed northeast-southwest oriented flow field underneath the Caribbean Plate at depths ranging from 300 to 500 km (Fig. 5).

At 600 km, the fast wavespeed anomalies discussed above merge into a continuous, arcuate-shaped feature surrounding the Gulf of Mexico and Caribbean, which then turns to a north-south oriented fast Farallon anomaly at 700 km34, stretching from the southern U.S. to South America (Fig. 5). Strong slow anomalies are observed to the west and east of the Farallon slab, which might reflect water entrained down to the transition zone by subduction of the Farallon Plate since the Mesozoic. In comparison to the upper mantle and transition zone, the fast orientations turn perpendicular to the strike of the Farallon anomaly, reflecting poloidal-mode mantle flows in the uppermost lower mantle. This flow field might be driven by strains produced when the Farallon slab penetrated the 660-km discontinuity to enter the lower mantle. This process results in large stresses due to a significant viscosity jump across the 660-km discontinuity56, and might produce detectable strain-induced seismic anisotropy.


Comparisons with plate motion data

Debayle et al.57 concluded that surface wave azimuthal anisotropy models correlate well with global plate motion models58,59 for regions with a relatively simple tectonic history, such as oceanic plates. However, for regions with a complicated tectonic history, such as continents, their correlation is much poorer. Figure 8 presents the angle differences between the fast axis orientations in model US32 for the study region with the global plate motion model NUVEL-1A58 at depths ranging from 70 to 400 km. Both hotspot (Fig. 8) and no-net rotation (Supplementary Fig. 17) reference frames are used for these comparisons. Figure 9 shows the histograms for these angle differences at different depths. Overall, the current seismic model fits plate motion results better for the hotspot reference than the no-net rotation reference at all depths. For instance, from 150 to 300 km, the mean angle differences for the hotspot reference are <30°, whereas these numbers are >35° for the no-net rotation reference. It appears that the fast axis orientations in the current model fit plate motions with the hotspot reference frame better for the North Atlantic and Caribbean. In contrast for the Cocos Plate, the no-net rotation frame fits seismic measurements better. Major differences come from regions with complicated fast axis orientations, especially in the vicinity of subducting slabs, which are not included in large-scale plate motion results.

Implications for mantle flow simulations and deformation mechanisms in the deep Earth

LPO of anisotropic mineral aggregates deformed by dislocation creep is the major cause of seismic anisotropy. Experiments demonstrate that the major minerals within the mantle transition zone and the uppermost lower mantle, such as wadsleyite and bridgmanite, might also be intrinsically anisotropic60,61. Diffusion creep or superplasticity is considered as the dominant deformation mechanism in the deep mantle62, and this prevents the development of LPO. Therefore, the existence and nature of seismic anisotropy within the transition zone and lower mantle are still highly debated. A recent study reported strong radial anisotropy (up to 2%) in the vicinity of subducting slabs down to 1000–1200 km63, which raises questions about the deformation mechanisms in the deep Earth. In addition, a number of previous surface wave tomography64,65 and shear wave splitting66,67 studies speculated about whether or not azimuthal anisotropy exists in the deep mantle, especially around subducted slabs. Anisotropic signatures (with magnitude around 1%) observed at greater depths in this study provide new seismic evidence for the development of complicated mantle flows induced by subduction systems with fast trench migration speeds and strong variations in slab morphology, such as tearing and detachment. All these seismic observations suggest that dislocation creep might have a more important role in the deep Earth than we thought before. In addition, all interpretations in this article assume that we have A-, C- and E-type LPO for olivine aggregates, other types of LPO, such as type-B fabric affected by water distributions, may change current interpretations14,68, especially for the mantle wedge regions.

Furthermore, depth-dependent azimuthal anisotropy observed in this study offers more constraints for investigating the physics of subduction, such as using mantle flow simulations9,10 and physical experiments7,8. Most recent mantle flow simulations allow us to construct geodynamic models to fit different geophysical and geological observations, such as shear wave splitting54,69 and plate motions58. However, shear wave splitting represents the integrated anisotropic effects over the entire depth range17. Therefore, it is a non-unique solution to match splitting measurements through LPO calculations70 and flow simulations. The depth-dependent azimuthal anisotropy patterns delineated in this study provide future opportunities to better constrain 3-D deep mantle flows and investigate physical processes through geodynamic modeling.

Misfit function

The details of constructing model US32 can be found in Zhu et al.39 Here, we summarize the key components of this study. The spectral-element method71,72 is used to solve the anisotropic/anelastic wave equation, and compute three-component synthetic seismograms. Each forward simulation takes 45 minutes using 144 CPU cores, therefore, in total, it took 1.87 million CPU hours to construct the current model. Frequency-dependent phase measurements for three-component short-period (15–40 s) body waves and long-period (25–100 s) surface waves are combined to simultaneously constrain deep and shallow structures73. No crustal correction74,75 is required in the inversion owing to the simultaneous update for the crustal and mantle structures. A multi-scale inversion strategy76, i.e., starting with long-period signals for long-wavelength updates and gradually incorporating short-period signals to improve resolution, is utilized to mitigate the cycle skipping problem77. The total misfit function includes six categories: P-SV body waves on vertical and radial components, and SH body waves on transverse component; Rayleigh surface waves on vertical and radial components, and Love surface waves on transverse component. A multi-taper technique78 is employed to calculate frequency-dependent phase discrepancies between observed and predicted seismograms within automatically selected windows from FLEXWIN79. The total misfit is defined as follows

$$J = \frac{1}{2}\mathop {\sum }\limits_{i = 1}^{N_{\mathrm{c}}} w_{\mathrm{c}}\mathop {\sum }\limits_{m = 1}^{N_m} {\int} {w_m\left[ {\frac{{{\mathrm{\Delta }}\tau _m(\omega )}}{{\sigma _m^\phi (\omega )}}} \right]^2{\mathrm{d}}\omega ,}$$

where Nc denotes the total number of categories, here Nc = 6 for three-component body and surface wave contributions. wc is the weighting factor used to balance the magnitudes of each individual category. wm represents the weighting factor used for the multi-taper measurements. Functions Δτm (ω) and \(\sigma _{m}^\phi (\omega )\) represent the frequency-dependent phase anomalies and their associated uncertainties, respectively.

Model parameterization

There are 13 independent model parameters in a typical tomographic study for simultaneously constraining radial and azimuthal anisotropy18,80. However, due to the non-uniqueness of geophysical inverse problems and limited sensitivity of seismic data, not all of them can be well resolved in real applications. Previous theoretical studies have suggested that Rayleigh waves are mostly sensitive to 2θ azimuthal dependent coefficients Gc and Gs81,82, whereas Love waves have weak sensitivity to Ec and Es. Here subscripts c and s stand for the cosine and sine terms, respectively, and θ denotes the local azimuth. In this study, we combine three-component surface and body waves to simultaneously constrain four model parameters: two radially anisotropic parameters L and N, and two azimuthally anisotropic parameters Gc and Gs39.

Thus, the relative perturbation of the total misfit, δJ, can be expressed as the following volume integral

$$\delta J = {\smallint_{{\!\!\!}V}} {{K}}_L\delta L + {{K}}_N\delta N + {{K}}_{G_{\mathrm{c}}}\delta G_{\mathrm{c}} + {{K}}_{G_{\mathrm{s}}}\delta G_{\mathrm{s}}{\mathrm{d}}V$$

These four model parameters are related with the fourth-order elastic tensor Cij as

$$L = \,\frac{1}{2}\left( {C_{44} + C_{55}} \right), \\ N = \,\frac{1}{8}\left( {C_{11} + C_{22} - 2C_{12} + 4C_{66}} \right), \\ G_{\mathrm{c}} = \,\frac{1}{2}\left( {C_{55} - C_{44}} \right), \\ G_{\mathrm{s}} = \,- C_{45}.$$

Misfit gradients

The misfit gradients with respect to the four model parameters L, N, Gc and Gs can be calculated as follows83,84

$${{K}}_L = \, {{K}}_{{\mathrm{c}}_{44}} + {{K}}_{{\mathrm{c}}_{55}}, \\ {{K}}_N = \, {{K}}_{{\mathrm{c}}_{66}} - 2{{K}}_{{\mathrm{c}}_{12}}, \\ {{K}}_{G_{\mathrm{c}}} = \, {{K}}_{{\mathrm{c}}_{55}} - {{K}}_{{\mathrm{c}}_{44}}, \\ {{K}}_{G_{\mathrm{s}}} = \, - {{K}}_{{\mathrm{c}}_{45}}.$$

Here the primary gradient Kcij can be computed via the adjoint state method85 as

$$K_{c_{ij}} = - \smallint_{{\!\!}0}^{T} \varepsilon _i^\dagger (x,T - t)c_{ij}(x)\varepsilon _j(x,t){\mathrm{d}}t,$$

where εj and \(\varepsilon _{i}^{\dagger}\) are the elements of the strain tensors for the forward and adjoint wavefields, respectively.

A preconditioned conjugate gradient method86 is used to iteratively update the above four model parameters. The final isotropic shear wavespeed Vs and radially anisotropic parameter ξ can be calculated from L and N as

$$V_{\mathrm{s}} = \sqrt {(2L + N)/3\rho } , \\ \xi = N/L.$$

With the distributions of Gc and Gs, the peak-to-peak anisotropic strength G0 and fast axis direction ϕ are computed via

$$G_0 = \sqrt {G_{\mathrm{s}}^2 + G_{\mathrm{c}}^2} , \\ \phi = \frac{1}{2}{\mathrm{arctan}}(G_{\mathrm{s}}/G_{\mathrm{c}}).$$

Data availability

All the continuous seismic data are collected from the Incorporated Research Institutions for Seismology (IRIS) Data Management Center ( The digital model for US32 can be downloaded from the attached data file.

Code availability

The open source spectral-element software package SPECFEM3D_GLOBE and the seismic measurement software package FLEXWIN used in this study are freely available for download via the Computational Infrastructure for Geodynamics (CIG; This is UTD Geoscience contribution number 1357.


  1. 1.

    Schellart, W. Kinematics of subduction and subduction-induced flow in the upper mantle. J. Geophys. Res. 109, B07401 (2004).

    ADS  Article  Google Scholar 

  2. 2.

    Stegman, D., Freeman, J., Schellart, W., Moresi, L. & May, D. Influence of trench width on subduction hinge retreat rates in 3-D models of slab rollback. Geochem. Geophys. Geosystems 7, Q03012 (2006).

    ADS  Article  Google Scholar 

  3. 3.

    Hall, C., Fischer, K. & Parmentier, E. The influence of plate motions on three-dimensional back arc mantle flow and shear wave splitting. J. Geophys. Res. 105, 28,009–28,033 (2000).

    ADS  Article  Google Scholar 

  4. 4.

    Russo, R. & Silver, P. Trench-parallel flow beneath the Nazca plate from seismic anisotropy. Science 263, 1105–1111 (1994).

    ADS  CAS  PubMed  Article  Google Scholar 

  5. 5.

    Long, M. & Silver, P. The subduction zone flow field from seismic anisotropy: a global view. Science 319, 315–318 (2008).

    ADS  CAS  PubMed  Article  Google Scholar 

  6. 6.

    Schellart, W., Freeman, J., Stegman, D., Moresi, L. & May, D. Evolution and diversity of subduction zones controlled by slab width. Nature 446, 308–311 (2007).

    ADS  CAS  PubMed  Article  Google Scholar 

  7. 7.

    Buttles, J. & Olson, P. A laboratory model of subduction zone anisotropy. Earth Planet. Sci. Lett. 164, 245–262 (1998).

    ADS  CAS  Article  Google Scholar 

  8. 8.

    Kincaid, C. & Griffiths, R. Laboratory models of the thermal evolution of the mantle during rollback subduction. Nature 425, 58–62 (2003).

    ADS  CAS  PubMed  Article  Google Scholar 

  9. 9.

    Piromallo, C., Becker, T., Funiciello, F. & Faccenna, C. Three-dimensional instantaneous mantle flow induced by subduction. Geophys. Res. Lett. 33, L08304 (2006).

    ADS  Article  Google Scholar 

  10. 10.

    Faccenda, M. & Capitanio, F. Development of mantle seismic anisotropy during subduction-induced 3-D flow. Geophys. Res. Lett. 39, L11305 (2012).

    ADS  Article  Google Scholar 

  11. 11.

    Savage, M. Seismic anisotropy and mantle deformation: what we learned from shear-wave splitting? Rev. Geophys. 37, 65–106 (1999).

    ADS  Article  Google Scholar 

  12. 12.

    Park, J. & Levin, V. Seismic anisotropy: Tracing plate dynamics in the mantle. Science 296, 485–489 (2002).

    ADS  CAS  PubMed  Article  Google Scholar 

  13. 13.

    Nicolas, A. & Christensen, I. in Composition, Structure and Dynamics of the Lithosphere-Asthenosphere system (eds Fuchs, K. & Froidevaux, C.) 111–123 (AGU, Washington, 1987).

  14. 14.

    Karato, S., Jung, H., Katayama, I. & Skemer, P. Geodynamic significance of seismic anisotropy of the upper mantle: new insights from laboratory studies. Annu. Rev. Earth Planet. Sci. 36, 59–95 (2008).

    ADS  CAS  Article  Google Scholar 

  15. 15.

    Zhang, S. & Karato, S. Lattice preferred orientation of olivine aggregates deformed in simple shear. Nature 375, 774–777 (1995).

    ADS  CAS  Article  Google Scholar 

  16. 16.

    Smith, G. et al. A complex pattern of mantle flow in the Lau Backarc. Science 292, 713–716 (2001).

    ADS  CAS  PubMed  Article  Google Scholar 

  17. 17.

    Silver, P. Seismic anisotropy beneath the continents: probing the depths of geology. Annu. Rev. Earth Planet. Sci. 24, 385–432 (1996).

    ADS  CAS  Article  Google Scholar 

  18. 18.

    Simons, F., Van der Hilst, R., Montagner, J. & Zielhuis, A. Multimode Rayleigh wave inversion for heterogeneity and azimuthal anisotropy of the Australian upper mantle. Geophys. J. Int. 151, 738–754 (2002).

    ADS  Article  Google Scholar 

  19. 19.

    Debayle, E., Kennett, B. & Priestiey, K. Global azimuthal seismic anisotropy and the unique plate-motion deformation of Australia. Nature 433, 509–512 (2005).

    ADS  CAS  PubMed  Article  Google Scholar 

  20. 20.

    Marone, F. & Romanowicz, B. The depth distribution of azimuthal anisotropy in the continental upper mantle. Nature 447, 198–201 (2007).

    ADS  CAS  PubMed  Article  Google Scholar 

  21. 21.

    Yuan, H. & Romanowicz, B. Lithospheric layering in the North American craton. Nature 466, 1063–1068 (2010).

    ADS  CAS  PubMed  Article  Google Scholar 

  22. 22.

    Becker, T., Lebedev, S. & Long, M. On the relationship between azimuthal anisotropy from shear wave splitting and surface wave tomography. J. Geophys. Res. 117, B01306 (2012).

    ADS  Article  Google Scholar 

  23. 23.

    Tromp, J., Tape, C. & Liu, Q. Y. Seismic tomography, adjoint methods, time reversal and banana-doughnut kernels. Geophys. J. Int. 160, 195–216 (2005).

    ADS  Article  Google Scholar 

  24. 24.

    Tape, C., Liu, Q., Maggi, A. & Tromp, J. Adjoint tomography of the southern California crust. Science 325, 988–992 (2009).

    ADS  CAS  PubMed  Article  Google Scholar 

  25. 25.

    Fichtner, A., Kennett, B., Igel, H. & Bunge, H. Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods. Geophys. J. Int. 179, 1703–1725 (2009).

    ADS  Article  Google Scholar 

  26. 26.

    Lonsdale, P. Creation of the Cocos and Nazca plates by fission of the Farallon plate. Tectonophysics 404, 237–264 (2005).

    ADS  Article  Google Scholar 

  27. 27.

    Manea, V., Manea, M. & Ferrari, L. A geodynamical perspective on the subduction of Cocos and Rivera plates beneath Mexico and Central America. Tectonophysics 609, 56–81 (2013).

    ADS  Article  Google Scholar 

  28. 28.

    van Benthem, S., Govers, R., Spakman, W. & Wortel, R. Tectonic evolution and mantle structure of the Caribbean. J. Geophys. Res. 118, 3019–3036 (2013).

    Article  Google Scholar 

  29. 29.

    Govers, R. & Wortel, M. Lithosphere tearing at STEP fault: response to edges of subduction zones. Earth Planet. Sci. Lett. 236, 505–523 (2005).

    ADS  CAS  Article  Google Scholar 

  30. 30.

    Pindell, J. & Barrett, S. in The Geology of North America, vol. H, The Caribbean Region (eds Dengo, G. & Case, J.) 1–55 (Geological Society of America, Boulder, 1990).

  31. 31.

    James, K. Evolution of Middle America and the in situ Caribbean plate model. Geol. Soc. Spec. Publ. 328, 127–138 (2009).

    ADS  Article  Google Scholar 

  32. 32.

    McCann, W. & Pennington, W. in The Caribbean Region (eds Dengo, G. & Case, J.) 291–305 (Geological Society of America, Boulder, 1990).

  33. 33.

    van der Hilst, R., Widiyantoro, S. & Engdahl, E. R. Evidence for deep mantle circulation from global tomography. Nature 386, 578–584 (1997).

    ADS  Article  Google Scholar 

  34. 34.

    Grand, S., van der Hilst, R. & Widiyantoro, S. Global seismic tomography: a snapshot of convection in the Earth. GSA Today 7, 1–7 (1997).

    Google Scholar 

  35. 35.

    Pardo, M. & Suarez, G. Shape of the subducted Rivera and Cocos plates in southern Mexico: seismic and tectonic implications. J. Geophys. Res. 100, 12357–12373 (1995).

    ADS  Article  Google Scholar 

  36. 36.

    Ferrari, L., Orozco-Esquivel, T., Manea, V. & Manea, M. The dynamic history of the Trans-Mexico Volcanic Belt and the Mexico subduction zone. Tectonophysics 522, 122–149 (2012).

    ADS  Article  Google Scholar 

  37. 37.

    Hoernle, K. et al. Arc-parallel flow in the mantle wedge beneath Costa Rica and Nicaragua. Nature 28, 1094–1098 (2008).

    ADS  Article  CAS  Google Scholar 

  38. 38.

    Zhu, H., Komatitsch, D. & Tromp, J. Radial anisotropy of the North American upper mantle based on adjoint tomography with USArray. Geophys. J. Int. 211, 349–377 (2017).

    ADS  Article  Google Scholar 

  39. 39.

    Zhu, H., Yang, J. & Li, X. Azimuthal anisotropy of the North American upper mantle based on full waveform inversion. J. Geophys. Res. (2020).

    Article  Google Scholar 

  40. 40.

    Bui-Thanh, T., Ghattas, O., Martin, J. & Stadler, G. A computational framework for infinite-dimensional Bayesian inverse problems, Part I: the linearized case, with application to global seismic inversion. SIAM J. Sci. Comput. 35, A2494–A2523 (2013).

    MathSciNet  MATH  Article  Google Scholar 

  41. 41.

    Fichtner, A. & van Leeuwen, T. Resolution analysis in full waveform inversion. J. Geophys. Res. 120, (2015).

  42. 42.

    Zhu, H., Li, S., Fomel, S., Stadler, G. & Ghattas, O. A Bayesian approach to estimate uncertainty for full waveform inversion using a priori information from depth migration. Geophysics 81, R307–R323 (2016).

    ADS  Article  Google Scholar 

  43. 43.

    Liu, Q. & Peter, D. Square-root variable metric based elastic full-waveform inversion–part 2 uncertainty estimation. Geophys. J. Int. 218, 1100–1120 (2019).

    ADS  Article  Google Scholar 

  44. 44.

    Luo, Y., Tromp, J., Denel, B. & Calandra, H. 3D coupled acoustic-elastic migration with topography and bathymetry based on spectral-element and adjoint methods. Geophysics 78, S193–S202 (2013).

    ADS  Article  Google Scholar 

  45. 45.

    Fouch, M., Fischer, K., Parmentier, E., Wysession, M. & Clarke, T. Shear wave splitting, continental keels, and patterns of mantle flow. J. Geophys. Res. 105, 6255–6257 (2000).

    ADS  Article  Google Scholar 

  46. 46.

    Zhou, Q. et al. Western US seismic anisotropy revealing complex mantle dynamics. Earth Planet. Sci. Lett. 500, 156–167 (2018).

    ADS  CAS  Article  Google Scholar 

  47. 47.

    Hu, J., Faccenda, M. & Liu, L. Subduction-controlled mantle flow and seismic anisotropy in South America. Earth Planet. Sci. Lett. 470, 13–24 (2018).

    ADS  Article  CAS  Google Scholar 

  48. 48.

    Fukao, Y. & Obayashi, M. Subducted slabs stagnant above, penetrating through, and trapped below the 660 km discontinuity. J. Geophys. Res. 118, 5920–5938 (2013).

    ADS  Article  Google Scholar 

  49. 49.

    Yang, T. et al. Seismic structure beneath the Rivera subduction zone from finite-frequency seismic tomography. J. Geophys. Res. 114, B01302 (2009).

    ADS  Google Scholar 

  50. 50.

    Stubailo, I., Beghein, C. & Davis, P. Structure and anisotropy of the Mexico subduction zone based on Rayleigh-wave analysis and implications for the geometry of the Trans-Mexico Volcanic Belt. J. Geophys. Res. 117, B05303 (2012).

    ADS  Article  Google Scholar 

  51. 51.

    Perez-Campos, X. et al. Horizontal subduction and truncation of the Cocos plate beneath central Mexico. Geophys. Res. Lett. 35, L18303 (2008).

    ADS  Article  Google Scholar 

  52. 52.

    Boer, D., Defant, J., Stewert, R. & Bellon, H. Evidence for active subduction below western Panama. Geology 19, 649–652 (1991).

    ADS  Article  Google Scholar 

  53. 53.

    Harris, C., Miller, M. & Porritt, R. Tomographic imaging of slab segmentation and deformation in the Greater Antilles. Geochem. Geophys. Geosyst. 19, (2018).

  54. 54.

    Miller, M. & Becker, T. Mantle flow deflected by interactions between subducted slabs and cratonic keels. Nat. Geosci. 19, (2012).

  55. 55.

    Schellart, W., Stegman, D. & Freeman, J. Global trench migration velocities and slab migration induced upper mantle volume fluxes: constraints to find an Earth reference frame based on minimizing viscous dissipation. Earth-Sci. Rev. 88, 118–144 (2008).

    ADS  Article  Google Scholar 

  56. 56.

    Mitrovica, J. Haskell [1935] Revisited. J. Geophys. Res. 101, 555–569 (1996).

    ADS  Article  Google Scholar 

  57. 57.

    Debayle, E. & Ricard, Y. Seismic observations of large-scale deformation at the bottom of fast-moving plates. Earth Planet. Sci. Lett. 376, 165–177 (2013).

    ADS  CAS  Article  Google Scholar 

  58. 58.

    Gripp, A. & Gordon, R. Young tracks of hotspots and current plate velocities. Geophys. J. Int. 150, 321–361 (2002).

    ADS  Article  Google Scholar 

  59. 59.

    Demets, C., Gordon, R., Argus, D. & Stein, S. Effect of recent revisions to the geomagnetic reversal time scale on estimates of current plate motions. Geophys. Res. Lett. 21, 2191–2194 (1994).

    ADS  Article  Google Scholar 

  60. 60.

    Kawazoe, T. et al. Seismic anisotropy in the mantle transition zone induced by shear deformation of wadsleleyite. Phys. Earth Planet. Inter. 216, 91–98 (2013).

    ADS  Article  Google Scholar 

  61. 61.

    Tsujino, N., Yamazaki, D., Seto, Y., Higo, Y. & Takahashi, E. Mantle dynamics inferred from the crystallographic preferred orientation of bridgmanite. Nature 539, 81–84 (2016).

    ADS  CAS  PubMed  Article  Google Scholar 

  62. 62.

    Karato, S., Zhang, S. & Wenk, H. Superplasticity in the Earth’s lower mantle: Evidence from seismic anisotropy and rock physics. Science 270, 458–461 (1995).

    ADS  CAS  Article  Google Scholar 

  63. 63.

    Ferreira, A., Faccenda, M., Sturgeon, W., Chang, S. & Schardong, L. Ubiquitous lower-mantle anisotropy beneath subduction zones. Nat. Geosci. 12, 301–306 (2019).

    ADS  CAS  Article  Google Scholar 

  64. 64.

    Trampert, J. & Heijst, H. Global azimuthal anisotropy in the transition zone. Science 296, 1297–1299 (2002).

    ADS  CAS  PubMed  Article  Google Scholar 

  65. 65.

    Yuan, K. & Beghein, C. Seismic anisotropy changes across upper mantle phase transitions. Earth Planet. Sci. Lett. 374, 132–144 (2013).

    ADS  CAS  Article  Google Scholar 

  66. 66.

    Wookey, J., Kendall, J. & Barruol, G. Mid-mantle deformation inferred from seismic anisotropy. Nature 415, 777–780 (2002).

    ADS  CAS  PubMed  Article  Google Scholar 

  67. 67.

    Foley, B. & Long, M. Upper and mid-mantle anisotropy beneath the Tonga slab. Geophys. Res. Lett. 38, L02303 (2011).

    ADS  Article  Google Scholar 

  68. 68.

    Jung, H. & Karato, S. Water-induced fabric transitions in olivine. Science 293, 1460–1463 (2001).

    ADS  CAS  PubMed  Article  Google Scholar 

  69. 69.

    Becker, T., Schulte-Pelkum, V., Blackman, D., Kellogg, J. & O’Connel, R. Mantle flow under the western Unite States from shear wave splitting. Earth Planet. Sci. Lett. 247, 235–251 (2006).

    ADS  CAS  Article  Google Scholar 

  70. 70.

    Kaminski, E., Ribe, N. & Browaeys, J. D-Rex, a program for calculation of seismic anisotropy due to crystal lattice preferred orientation in the convective upper mantle. Geophys. J. Int. 158, 744–752 (2004).

    ADS  CAS  Article  Google Scholar 

  71. 71.

    Komatitsch, D. & Tromp, J. Introduction to the spectral-element method for 3-D seismic wave propagation. Geophys. J. Int. 139, 806–822 (1999).

    ADS  Article  Google Scholar 

  72. 72.

    Peter, D. et al. Forward and adjoint simulations of seismic wave propagation on fully unstructured hexahedral meshes. Geophys. J. Int. 186, 721–739 (2011).

    ADS  Article  Google Scholar 

  73. 73.

    Zhu, H., Bozdağ, E., Peter, D. & Tromp, J. Structure of the European upper mantle revealed by adjoint tomography. Nat. Geosci. 5, 493–498 (2012).

    ADS  CAS  Article  Google Scholar 

  74. 74.

    Bozdağ, E. & Trampert, J. On crustal corrections in surface wave tomography. Geophys. J. Int. 172, 1066–1082 (2008).

    ADS  Article  Google Scholar 

  75. 75.

    Lekic, V., Panning, M. & Romanowicz, B. A simple method for improving crustal correction in waveform tomography. Geophys. J. Int. 182, 265–278 (2010).

    ADS  Google Scholar 

  76. 76.

    Bunks, C., Saleck, F. M., Zaleski, S. & Chavent, G. Multiscale seismic waveform inversion. Geophysics 60, 1457–1473 (1995).

    ADS  Article  Google Scholar 

  77. 77.

    Virieux, J. & Operto, S. An overview of full-waveform inversion in exploration geophysics. Geophysics 74, WCC1–WCC26 (2009).

    Article  Google Scholar 

  78. 78.

    Ekström, G., Tromp, J. & Larson, E. Measurement and global models of surface wave propagation. J. Geophys. Res. 102, 8137–8157 (1997).

    ADS  Article  Google Scholar 

  79. 79.

    Maggi, A., Tape, C., Chen, M., Chao, D. & Tromp, J. An automated time-window selection algorithm for seismic tomography. Geophys. J. Int. 178, 257–281 (2009).

    ADS  Article  Google Scholar 

  80. 80.

    Yuan, H., Romanowicz, B., Fischer, K. & Abt, D. 3-D shear wave radially and azimuthally anisotropic velocity model of the North American upper mantle. Geophys. J. Int. 184, 1237–1260 (2011).

    ADS  Article  Google Scholar 

  81. 81.

    Smith, M. & Dahlen, F. The azimuthal dependence of Love and Rayleigh wave propagation in a slightly anisotropic medium. J. Geophys. Res. 78, 3321–3333 (1973).

    ADS  Article  Google Scholar 

  82. 82.

    Montagner, J. & Nataf, H. A simple method for inverting the azimuthal anisotropy of surface waves. J. Geophys. Res. 91, 511–520 (1986).

    ADS  Article  Google Scholar 

  83. 83.

    Sieminski, A., Liu, Q. Y., Trampert, J. & Tromp, J. Finite-frequency sensitivity of body waves to anisotropy based upon adjoint methods. Geophys. J. Int. 171, 368–389 (2007).

    ADS  Article  Google Scholar 

  84. 84.

    Sieminski, A., Liu, Q. Y., Trampert, J. & Tromp, J. Finite-frequency sensitivity of surface wave to anisotropy based upond adjoint methods. Geophys. J. Int. 168, 1153–1174 (2007).

    ADS  Article  Google Scholar 

  85. 85.

    Liu, Q. & Tromp, J. Finite-frequency sensitivity kernels for global seismic wave propagation based upon adjoint methods. Geophys. J. Int. 174, 265–286 (2008).

    ADS  Article  Google Scholar 

  86. 86.

    Fletcher, R. & Reeves, C. Function minimization by conjugate gradients. Computer J. 7, 149–154 (1964).

    MathSciNet  MATH  Article  Google Scholar 

  87. 87.

    Bird, P. An updated digital model of plate boundaries. Geochem. Geophys. Geosyst. 4, 1027 (2003).

    ADS  Article  Google Scholar 

  88. 88.

    Dziewonski, A. & Anderson, D. Preliminary reference Earth model. Phys. Earth Planet. Inter. 25, S.297–356 (1981).

    ADS  Article  Google Scholar 

  89. 89.

    Kustowski, B., Ekström, G. & Dziewonski, A. Anisotropic shear-wave velocity structure of the Earth’s mantle: a global model. J. Geophys. Res. 113, B06306 (2008).

    ADS  Article  Google Scholar 

Download references


This work is supported by UTD Faculty startup funding and NSF Grant EAR-1924282. The authors acknowledge the Texas Advanced Computing Center (TACC; for providing computational resources for this study.

Author information




H.Z. collected and analyzed seismic data, and carried out the inversion. R.S. and J.Y. carried out the tectonic interpretation. All authors co-wrote the manuscript together.

Corresponding author

Correspondence to Hejun Zhu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks Jiashun Hu, Qinya Liu and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhu, H., Stern, R.J. & Yang, J. Seismic evidence for subduction-induced mantle flows underneath Middle America. Nat Commun 11, 2075 (2020).

Download citation


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.