The ∼700-km-long “central seismic gap” is the most prominent segment of the Himalayan front not to have ruptured in a major earthquake during the last 200–500 yr. This prolonged seismic quiescence has led to the proposition that this region, with a population >10 million, is overdue for a great earthquake. Despite the region’s recognized seismic risk, the geometry of faults likely to host large earthquakes remains poorly understood. Here, we place new constraints on the spatial distribution of rock uplift within the western ∼400 km of the central seismic gap using topographic and river profile analyses together with basinwide erosion rate estimates from cosmogenic 10Be. The data sets show a distinctive physiographic transition at the base of the high Himalaya in the state of Uttarakhand, India, characterized by abrupt strike-normal increases in channel steepness and a tenfold increase in erosion rates. When combined with previously published geophysical imaging and seismicity data sets, we interpret the observed spatial distribution of erosion rates and channel steepness to reflect the landscape response to spatially variable rock uplift due to a structurally coherent ramp-flat system of the Main Himalayan Thrust. Although it remains unresolved whether the kinematics of the Main Himalayan Thrust ramp involve an emergent fault or duplex, the landscape and erosion rate patterns suggest that the décollement beneath the state of Uttarakhand provides a sufficiently large and coherent fault segment capable of hosting a great earthquake.


Historical records and damage to long-standing structures indicate that the central Himalayan seismic gap, defined as the region between the historical A.D. 1905 and A.D. 1934 events (Khattri, 1987), last experienced large earthquakes in A.D. 1803 and A.D. 1505 (Fig. 1A; Bilham, 1995; Seeber and Armbruster, 1981; Kumar et al., 2006). The absence of large seismic events in this region for more than 200–500 yr, despite Indo-Eurasian convergence of 20 mm/yr (Bilham et al., 1997; Larson et al., 1999), has led many to suggest that this region is primed for a great earthquake (e.g., Khattri and Tyagi, 1983; Khattri, 1987; Bilham et al., 2001; Rajendran and Rajendran, 2005). Considering the high population of the central seismic gap (>10 million people), and the history of devastating earthquakes across the entire Himalaya since at least the thirteenth century (i.e., 7 June A.D. 1255; Sapkota et al., 2012), it has been recognized for almost three decades that there is a need to mitigate the seismic hazard in this area (e.g., Khattri, 1987). Although the vulnerability of this region to large earthquakes has been identified for quite some time, the active structures that could potentially host a large seismic event remain poorly understood across much of the central seismic gap, particularly within the western half of the gap that spans the state of Uttarakhand, India (Fig. 1A). Since earthquake magnitude relates to rupture area (Wells and Coppersmith, 1994), and therefore is a function of fault geometry, understanding which fault segments have accommodated slip over time scales of 103–104 yr is relevant to assessing where rupture might occur next in this region of the Himalaya and how large such an event could be.

Assessment of the geometry and location of active structures in the Uttarakhand region has proven challenging to date, primarily because the Main Himalayan Thrust, which is considered the fault most likely to rupture during a large earthquake (Banerjee and Bürgmann, 2002), is buried beneath the subsurface, and active seismicity often does not align with surficially mapped structures (e.g., Ni and Baranzangi, 1984). Recent receiver function analyses have successfully imaged, for the first time, the two-dimensional (2-D) ramp-flat geometry of the Main Himalayan Thrust in Uttarakhand (Fig. 2; Caldwell et al., 2013), but how this megathrust potentially varies along strike remains poorly understood. Because the magnitude of large earthquakes depends in part on how far they can extend laterally along strike, geomorphic indicators sensitive to variations in subsurface strain accumulation can provide important insights into the spatial distribution of rock uplift rates across active fault structures, especially when active faults are poorly exposed (e.g., Kirby et al., 2003; Whipple, 2004; Wobus et al., 2006b). For example, geomorphic and topographic metrics measured prior to the 2008 Mw 7.9 Sichuan earthquake (Xu et al., 2009) recognized the seismic hazard in this region (Kirby et al., 2000, 2003), while the geodetic catalog (e.g., Shen et al., 2005) indicated no such seismic threat (Kirby et al., 2008; Kirby and Ouimet, 2011). In this study, we use a series of complementary geomorphic data sets as proxies for the spatial patterns of rock uplift across the hinterland of the Uttarakhand Himalaya, including longitudinal profile analysis, swath topographic profiles, and basinwide erosion rate estimates from in situ cosmogenic 10Be concentrations. When viewed in the context of published geophysical imagery and seismicity patterns, we use these results to place new constraints on the along- and across-strike geometry of the active, and potentially seismogenic, faults in this region.


It has long been recognized that India-Eurasia convergence has been largely accommodated along three north-dipping thrusts (Heim and Gansser, 1939). The Main Central Thrust, the northernmost, overthrusts the high-grade Greater Himalayan Sequence atop the lower-grade Lesser Himalayan Sequence (Fig. 1B). The Main Boundary Thrust and Main Frontal Thrust imbricate progressively younger and less-metamorphosed sedimentary sequences toward the foreland (Valdiya, 1980; Srivastava and Mitra, 1994; Célérier et al., 2009a). All of these thrusts are interpreted to sole into the Main Himalayan Thrust, the detachment at the base of the Himalayan wedge, which exhibits a ramp-flat geometry at depth (Fig. 2; Nábĕlek et al., 2009). Under this backdrop, and given that the Main Central Thrust appears to be currently seismically inactive (Ni and Baranzangi, 1984), many early workers interpreted the Himalaya to have evolved as a sequence of foreland-propagating thrust sheets (e.g., Srivastava and Mitra, 1994; Célérier et al., 2009a). More recent work has revealed increasing evidence for fault activity within the hinterland, however. For instance, the South Tibetan Detachment has been recognized as a potentially active north-dipping normal fault near the range crest, with the Tethyan Himalayan Sequence in its hanging wall (Fig. 1B; Hodges et al., 2001; Hurtado et al., 2001; McDermott et al., 2013).

In particular, there has been increasing evidence for significant active deformation along the base of the high Himalaya, 100 km north of the Main Frontal Thrust. Seeber and Gornitz (1983) were some of the first to note that northward increases in stream gradient indices could be related to higher rates of rock uplift in the high Himalaya by comparison to lower regions. Subsequent observations across the lower–high Himalaya transition in Central Nepal (physiographic transition 2 of Nepal [NPT2]; Fig. 1A) have been largely consistent with this interpretation (e.g., Jackson and Bilham, 1994; Hodges et al., 2001). Compared to the lower Himalaya, the Nepalese high Himalaya exhibits steeper channel gradients (Wobus et al., 2006a), younger thermochronologic ages (Wobus et al., 2003; Bollinger et al., 2006; Robert et al., 2009; Herman et al., 2010; Nadin and Martin, 2012), increased seismic activity (Pandey et al., 1995, 1999), and greater rates of vertical velocity (e.g., Jackson and Bilham, 1994; Lavé and Avouac, 2001) and erosion (Wobus et al., 2005; Godard et al., 2014). Given that these changes across the NPT2 also spatially coincide with geophysical images of the ramp in the Main Himalayan Thrust (Nábĕlek et al., 2009), they have been widely attributed to increases in rock uplift rate and erosion due to slip along the Main Himalayan Thrust ramp at midcrustal depths (e.g., Wobus et al., 2003, 2006a; Bollinger et al., 2006; Robert et al., 2009; Herman et al., 2010). The exact kinematics of this system remain controversial, however, and it continues to be debated whether the system is best characterized by either: (1) a fault that surfaces at the NPT2 and soles into the Main Himalayan Thrust ramp (e.g., Wobus et al., 2006a); (2) an accreting duplex on the ramp that involves underplating of the Indian plate (e.g., Bollinger et al., 2006; Robert et al., 2009; Herman et al., 2010); or (3) a passive fold above the ramp (Fig. 2; e.g., Cattin and Avouac, 2000).

Previous studies in Uttarakhand, 500 km to the northwest of Central Nepal, have likewise noted similar across-strike variations across the lower–high Himalaya transition, which also appear to correspond with the Main Himalayan Thrust ramp (Figs. 1 and 2). Across Uttarakhand, the geophysically imaged Main Himalayan Thrust ramp (Caldwell et al., 2013) coincides with: (1) an 50-km-wide zone of increased microseismicity (Mahesh et al., 2013); (2) the hypocentral location of moderate earthquakes (Mw 5–7) with thrust-type focal mechanisms (Figs. 1B and 2A; Ni and Baranzangi, 1984); (3) significant gradients in both 40Ar/39Ar cooling ages (Célérier et al., 2009b) and erosion rates (Vance et al., 2003); and (4) increases in stream gradient indices (Rajendran and Rajendran, 2005) and channel steepness (Scherler et al., 2014). In this paper, we compile these existing data sets and present new topographic and erosion rate data that reveal the spatial distribution of topography and erosion across the entire Uttarakhand region.


In order to evaluate the potential geomorphic response to vertical rates of rock uplift, we used basin-averaged erosion rate estimates derived from cosmogenic 10Be, river channel profile analysis, and calculations of local relief, hillslope gradient, and elevation. Our analysis is predicated on the notion that, in actively uplifting and eroding settings such as the Himalaya, hillslope and fluvial erosion rates actively adjust to balance rock uplift rates, as long as the influences of climate and substrate erodibility can be excluded. Thus, spatial variations in erosion rate and geomorphology can elucidate information about tectonic forcings that shape the landscape (e.g., Kirby and Whipple, 2012).

Topographic and Geomorphic Methods

The geomorphic analyses we present here include a combination of physiographic metrics and longitudinal profile analysis, based on elevation data from either the 90 m Shuttle Radar Topography Mission (SRTM; jpl.nasa.gov/srtm/) or the 30 m Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data set (asterweb.jpl.nasa.gov). The physiographic metrics we use are based on the SRTM data set and include plan-view maps of elevation, hillslope angles, and local relief accompanied by a series of swath profiles for each of these maps. In this study, hillslope angles were calculated from elevation data using a 3 by 3 pixel calculation averaged over a circle with radius of 4.5 km, and local relief was estimated using a 4.5-km-radius moving circle.

The longitudinal profile analyses employed here are derived from the ASTER data set and are based on the observed power-law relationship between local channel slope (S), steepness (ks), concavity (θ), and contributing drainage area (A) of the form (i.e., Hack, 1973): 

When normalized for downstream changes in drainage area, by using a fixed reference concavity, it has been shown that for bedrock channels, the normalized channel steepness index, ksn, scales with rock uplift rate, provided the effects of climate and lithology are accounted for (e.g., Wobus et al., 2006b; Kirby and Whipple, 2012).

In this study, normalized steepness values (ksn) were obtained for all channels with contributing drainage area >107 m2 by forced regression of a log-log plot of slope-area data calculated over a 1 km moving window. Handpicked reaches were then identified in longitudinal profiles of trunk streams and compared against the 1 km regressions. In our analysis, the data were smoothed over a moving window of 10 km in order to sufficiently reduce the noise in the ASTER data set. A reference concavity of 0.45 was used in the calculations in order to compare this data set to other similar global studies (i.e., Wobus et al., 2006b; Ouimet et al., 2009). The units on ksn (m0.9) therefore derive from the regressions based on this reference concavity.

Erosion Rate Methods

To supplement results from the topographic analyses, we collected samples of modern river sand at the mouths of 14 small tributaries (drainage areas from 10 to 100 km2) to estimate basin-averaged erosion rates from concentrations of the in situ–produced cosmogenic nuclide 10Be in quartz (e.g., Lal, 1991; Brown et al., 1995; Granger et al., 1996; Gosse and Phillips, 2001). Our sampling strategy was to: (1) collect samples from active river channels away from fluvial terraces, landslides, and/or debris flows; (2) sample tributaries that were at least 10 km2 in size, in order to avoid the effects of landslides on mixing (Niemi et al., 2005); (3) sample drainage areas that were small enough to capture potential changes in erosion rate both across and along strike; and (4) sample basins that are currently unglaciated, to eliminate the need to account for the influence of snow or glaciation on the shielding of cosmic rays and 10Be concentrations (e.g., Wittmann et al., 2007). Given the relief and subbasin size, we assumed rapid sediment transport and negligible storage, allowing measured 10Be concentrations to represent a spatially averaged rate of channel and hillslope lowering for the watershed above each sample (e.g., Lal, 1991; Granger et al., 1996; Gosse and Phillips, 2001).

Beryllium-10 was extracted from quartz at the University of Melbourne, and samples were analyzed at the Australian National Tandem Research Accelerator (ANTARES) Accelerator Mass Spectrometry (AMS) Facility, Australian Nuclear Science and Technology Organisation (ANSTO), Menai, Australia. Quartz was extracted from 250 g of the 800–500 µm size fraction sand via multiple sequences of standard heavy liquid mineral separations and HF acid etching, until each contained less than 200 ppm of Al. A 1279 ppm 9Be spike (prepared from beryl crystal) was added to each sample prior to quartz digestion, and Be extraction was performed following standard methods. Final Be hydroxide solutions were treated for boron removal and converted to BeO at the Cosmogenic Geochemistry Laboratory at ANSTO, Sydney. All BeO samples were mixed with niobium powder, and 10Be was measured by AMS at the ANTARES Facility (Fink and Smith, 2007). Measured 10Be/Be ratios were corrected by full chemistry procedural blanks (7.4 ± 1.6 × 10–15; n = 4; 2 blanks), and normalized using NIST-4325 standard reference material (Table 1).

The CRONUS online 10Be/26Al calculator (http://hess.ess.washington.edu/math/, accessed August 2013; Balco et al., 2008) was used to calculate production rates and basin-averaged erosion rates from the concentration of 10Be in each sample. These calculations were performed assuming a bulk rock density of 2.5 g/cm3 and the scaling scheme of Lal (1991) and Stone (2000). Estimates of topographic shielding, effective latitude, and effective basin elevation were calculated following methods in Balco et al. (2008) and Portenga and Bierman (2011). Because the CRONUS calculator only calculates erosion rates for a single point, we used the methods of Portenga and Bierman (2011) to calculate a hypsometrically weighted effective elevation and latitude for each sample, and these results were then used as inputs into CRONUS.


Topographic and Geomorphic Analyses

Our analyses reveal an 30,000 km2 area within Uttarakhand that displays significant across-strike variations in elevation (Fig. 3), local relief (Fig. 4), hillslope angles (Fig. 5), and channel steepness (Figs. 6 and 7) that persist for kilometers along strike. Within this region, the most prominent spatial variations in landscape morphology occur at the boundary between the lower and high Himalaya, where there are sharp northward increases in elevation, relief, hillslopes, and channel steepness. We term this dividing line the physiographic transition 2 of Uttarakhand (UPT2) for consistency with earlier work (e.g., Hodges et al., 2001; Wobus et al., 2006a). South of the UPT2, elevation, local relief, hillslope angles, and ksn are relatively constant over an area greater than 12,000 km2 (Figs. 3–6). North of the UPT2, topography, relief, and ksn increase progressively perpendicular to strike for 50 km, and hillslope angles show a step-function increase, yet each of these properties remains relatively invariant along strike. Excluding glaciated regions, there are subtle convex-up knick zones near the South Tibetan Detachment (at 3000 m), but downstream reaches are otherwise relatively smooth and concave-up (Fig. 7).

Our results suggest that the UPT2 can be traced reliably for 400 km along strike as shown in Figures 3–6, but this well-defined feature terminates to the east of 81°E and to the west of 77.5°E. The along-strike extent of the UPT2 was determined based on spatial patterns of gradient, slope, ksn, and elevation, as all four of these metrics increase abruptly at the UPT2 and decrease approximately at the South Tibetan Detachment. To the west of longitude 77.5°E and to the east of 81°E, one or all of these criteria were not met. The high Himalayan region to the east of 81°E exhibits significantly lower relief, hillslope gradients, and ksn than adjacent along-strike regions in Uttarakhand (Figs. 3–5). Similarly, while channel steepness values in the lower Himalaya of Uttarakhand are relatively low, ksn values to the west of 77.5°E are much higher (Fig. 6), and the abrupt step in topography characteristic of the UPT2 becomes more diffuse westward (Figs. 3–5).

A comparison of these results against published data sets in Uttarakhand indicates that: (1) the UPT2 corresponds with the axial trace of the ramp-flat transition in the Main Himalayan Thrust at depth (Fig. 2; gray dot on Figs. 3–5; Caldwell et al., 2013); (2) the UPT2 crosscuts lithologic contacts mapped by previous workers (Fig. 1B; e.g., Valdiya, 1980; Srivastava and Mitra, 1994; Célérier et al., 2009a); (3) mean annual precipitation generally increases northward across the UPT2 (Fig. 8; Bookhagen and Burbank, 2006); and (4) the decreases in local relief, hillslopes, and ksn values at 3000 m elevation coincide approximately with the mapped trace of the South Tibetan Detachment (Figs. 3–6; Webb et al., 2011). Overall, the landscape patterns we observe in Uttarakhand agree with similar morphologic data sets published within the region (Seeber and Gornitz, 1983; Rajendran and Rajendran, 2005; Scherler et al., 2014).

Basin-Averaged Erosion Rates

Our data show a tenfold range in basin-averaged erosion rates across the UPT2 and strong relationships among erosion rate, channel steepness, and distance across strike (Table 1; Fig. 6). The highest erosion rates (0.6–0.8 mm/yr) occur in watersheds farthest north, within the high Himalaya region containing steep hillslopes and high channel steepness. The lowest erosion rates (0.06–0.2 mm/yr) occur south of the UPT2, in basins with lower channel steepness and gentler hillslope gradients. Excluding those samples with drainage areas that cross the UPT2 (samples 9, 10, and 11; Table 1), the average erosion rate for samples in the region south of UPT2 is 0.2 mm/yr, whereas the average erosion rate north of the UPT2 is 0.6 mm/yr. Erosion rates show a positive scaling with channel steepness (R2 = 0.77; Fig. 9), and there is a general relationship between higher rates of erosion and higher relief and hillslope angles (Figs. 4 and 5).

The magnitude of these basin-averaged erosion rates reflects the average time required for surface lowering by one cosmic-ray attenuation length (50 cm of rock; Table 1). Therefore, the erosion rates in Table 1 span the time period ca. 1–10 ka, with the higher erosion rates corresponding to shorter time scales (1 k.y.) than lower erosion rates (10 k.y.). This indicates that the higher Himalaya in Uttarakhand is eroding significantly faster than the Lesser Himalaya over Holocene time scales. This spatial pattern in rates of erosion is consistent with previous estimates of erosion rates in this area (Vance et al., 2003; Scherler et al., 2014), and with variations in longer-term (106 yr) amounts of exhumation inferred from published 40Ar/39Ar ages in this same region (Célérier et al., 2009b).


We interpret the first-order patterns in erosion rate, channel steepness, and hillslope morphology across the Uttarakhand region to reflect a landscape response to rock uplift across a relatively continuous segment of the Main Himalayan Thrust ramp-flat system. We make these interpretations based on several lines of reasoning. First, the relatively constant ksn values along strike (Fig. 6), smooth channel profile shape (Fig. 7), and hillslope angles that approach threshold values (Figs. 4 and 5) suggest that this landscape is regionally adjusted to prevailing rock uplift rates (Burbank et al., 1996). Second, the available data suggest that the potential influences of climate and lithology on channel steepness can be ruled out in this particular case. Published geologic maps show no lithologic changes across the UPT2 (Fig. 1B; e.g., Valdiya, 1980), and landscape modeling (Bonnet and Crave, 2003) predicts that the change from moderate (1 m/yr) to monsoonal annual rainfall (2–3 m/yr) across the UPT2 (Fig. 8; Bookhagen and Burbank, 2006) would cause a northward decrease in ksn values, rather than the observed increase.

Third, the coincidence of the UPT2 with the axial trace of the ramp-flat transition in the Main Himalayan Thrust is consistent with the hypothesis that the step changes in landscape morphology and erosion rate observed across the UPT2 (Figs. 3–6) are controlled by rock uplift associated with the Main Himalayan Thrust ramp-flat system. In other words, the high rock uplift rates characteristic of the area north of the UPT2 result from slip above the Main Himalayan Thrust ramp, whereas the relatively lower rock uplift rates characteristic of the area south of the UPT2 derive from slip in the hanging wall of the Main Himalayan Thrust flat (Fig. 2). The decrease in channel steepness values near the surface trace of the South Tibetan Detachment could suggest that this structure is active, as has been demonstrated in Central Nepal (e.g., McDermott et al., 2013), but this feature is poorly exposed in this region, and it is difficult to evaluate its activity without additional data focused on this structure in particular. Whether or not the South Tibetan Detachment is active in this region, the observed patterns of rock uplift across the UPT2 could be reproduced by the passive ramp, duplex, or emergent fault models proposed for the Main Himalayan Thrust in Central Nepal (e.g., Wobus et al., 2006a; Fig. 2 herein), and the existing data cannot unequivocally rule out any of these scenarios. However, each of these models requires a flat-ramp geometry of the Main Himalayan Thrust, with or without an additional emergent fault (Fig. 2B) or duplex (Fig. 2C). Therefore, regardless of kinematics, the spatial distribution of rock uplift rates in this segment of Uttarakhand appears to be controlled to a first order by the ramp-flat geometry of the Main Himalayan Thrust.

Finally, if our inferences about the links between landscape morphology and Main Himalayan Thrust geometry are correct, the relative invariance of ksn values along strike and the relative consistency of erosion rates between transects 100 km apart suggest that the Main Himalayan Thrust in this region could extend relatively unbroken for at least the length of the UPT2 as we define it here (400 km). This idea is supported by the close alignment of this segment with the location of the Mw7.7 A.D. 1803 earthquake (Fig. 1A; Rajendran and Rajendran, 2005; Rajendran et al., 2013), as such an event presumably would require rupture across a relatively uninterrupted structure. If so, the spatial patterns of erosion rate, channel steepness, and landscape morphology we observe reflect rock uplift rates due to a relatively continuous portion of the Main Himalayan Thrust ramp-flat system that is at least 400 km long and 80–125 km wide. These morphologic and erosion rate data therefore allow a coarse extrapolation of the 2-D décollement geometry imaged in the center of Uttarakhand (Fig. 2 herein; Caldwell et al., 2013) to three dimensions.

Given such a décollement geometry, earthquake scaling laws predict that if either the Main Himalayan Thrust ramp (area 20,000 km2) or flat (area >12,000 km2) were to rupture during a single event, it would be equal to or greater than Mw 8 in size. The hypothesis that this segment is capable of hosting such a great earthquake is corroborated by several independent data sets, including: (1) geodetic studies, which suggest that this Main Himalayan Thrust segment is locked across a distance that spans 100 km north of the Main Frontal Thrust (Banerjee and Bürgmann, 2002); (2) trenching investigations, which have identified high displacements at the Main Frontal Thrust that argue for expansive ruptures across the Uttarakhand hinterland (e.g., Kumar et al., 2006); and (3) isoseismal mapping of historical earthquakes, which place the A.D. 1803 event exactly within the segment identified in this study (Fig. 1A; Bilham, 1995; Seeber and Armbruster, 1981; Rajendran et al., 2013).

If the development of the UPT2 is closely linked to the regional structural architecture, as we suggest, we speculate that the lateral discontinuity of the UPT2 at 77.5°E and 88°E could reflect lateral variations in this architecture, which could restrict the rupture length of earthquakes and effectively segment the mountain belt (e.g., Béjar-Pizarro et al., 2013). While this hypothesis remains tentative and cannot be robustly addressed by the data sets in this paper, segmentation of this type is supported by geologic and structural data within the region, which depict a lateral ramp in the Main Central Thrust near 77.5°E, at the northwest boundary of the segment identified in this study (Fig. 3, LR; Yin, 2006). This concept is further supported by the fact that the estimated rupture patches for the A.D. 1905 and 1803 earthquakes terminate at, and do not cross the boundaries of, the identified segment (Fig. 1A). Some reports on the rupture extent of the A.D. 1505 earthquake do extend across the eastern boundary of the proposed segment (e.g., Bilham and Ambraseys, 2005), but there has been debate over the location and magnitude of this particular event (Ambraseys and Jackson, 2003; Rajendran and Rajendran, 2005; Rajendran et al., 2013), in part because the record becomes less reliable further back in time. Regardless of whether there are such lateral variations in active fault structure, our results highlight a prominent segment of the Main Himalayan Thrust ramp-flat system in the Uttarakhand region of the central seismic gap that appears to be sufficiently large and likely continuous enough to host a great earthquake, and our findings further underscore the utility in using tectonic geomorphology to reveal potentially seismogenic faults.


New topographic and erosion rate analyses in the western half of the central Himalayan seismic gap delineate an ∼400-km-long physiographic transition in the hinterland of the state of Uttarakhand, India (UPT2), defined by northward increases in physiographic metrics, channel steepness, and an order of magnitude increase in basin-averaged erosion rates. The spatial correspondence of the UPT2 with the geophysically imaged ramp-flat transition in the underlying Main Himalayan Thrust suggests that the cross-strike variations in erosion rate and landscape morphology we observe across the UPT2 reflect a landscape response to rock uplift above the Main Himalayan Thrust ramp-flat system. The lateral continuation of the UPT2 for hundreds of kilometers along strike, and the relative invariance of channel steepness values along its entire length suggest that this ramp-flat system is ∼400 km long and more than ∼80 km wide, and it is therefore likely large enough to host a great earthquake. The discontinuation of a well-defined UPT2 to the west of longitude 77.5°E and to the east of 81°E may reflect along-strike changes in this décollement geometry, which could result in the seismic segmentation of the Main Himalayan Thrust and potentially restrict the size of large earthquakes. While this hypothesis remains speculative, it is supported by independent records of historical seismicity, and by reports of along-strike variations in the geometry of the Main Central Thrust at the northwestern boundary of the proposed segment.

This study was funded primarily by the Australia-India Strategic Research Fund (AISRF) and the Australian Research Council (ARC). Thanks to Kelin Whipple and an anonymous reviewer for their comments, and to Duane Devecchio and Christine Regalla for their input on an early version of this manuscript. We also thank Eric Kirby for editorial handling.