The ongoing collision of India with Asia is partly accommodated by slip on the Main Himalayan Thrust (MHT). The 25 April 2015, M w 7.8 Gorkha earthquake is the most recent major event to rupture the MHT, which dips gently northward beneath central Nepal. Although the geology of the range has been studied for decades, fundamental aspects of its deep structure remain disputed. Here, we develop a structural cross section and a three-dimensional, geologically informed model of the MHT that are consistent with seismic observations from the Gorkha earthquake. A comparison of our model to a detailed slip inversion data set shows that the slip patch closely matches an ovalshaped, gently dipping fault surface bounded on all sides by steeper ramps. The Gorkha earthquake rupture seems to have been limited by the geometry of that fault segment. This is a significant step forward in understanding the deep geometry of the MHT and its effect on earthquake nucleation and propagation. Published models of fault locking do not correlate with the slip patch or our fault model in the vicinity of the earthquake, further suggesting that fault geometry was the primary control on this event. Our result emphasizes the importance of adequately constraining subsurface fault geometry in megathrusts in order to better assess the sizes and locations of future earthquakes.

AcrySof 1-piece SA30AL and SA60AT IOLs demonstrated superior biomechanical characteristics over other foldable IOL designs.

With a population of over 160 million, Bangladesh is one of the most densely populated countries in the world (Figure 1a, inset). The country sits on a seismically active fold and thrust belt on the eastern side of the India-Eurasia collision zone that represents the updip tip of an active, oblique subduction zone diving to the east beneath Myanmar (Figures 2 and 3;

and the growing stresses placed on water resources worldwide (Jones, 1999;Rosegrant et al., 2009) motivate efforts to monitor soil moisture and better characterize its variability on a global scale. Satellite-based remote sensing observations support these monitoring efforts, and have the advantages of regular satellite repeat intervals and extensive spatial coverage. However, soil moisture retrievals are sensitive to the presence of vegetation, cloud cover, soil type, and the vertical distribution of soil moisture to a degree that varies between approaches. We present analysis of phase coherence within a Synthetic Aperture Radar (SAR) time series spanning three years, and compare it with soil moisture estimates based on other remote sensing datasets (microwave and visible) and data assimilation systems. We present a focused comparison between the Interferometric Synthetic Aperture Radar (InSAR) coherence results and published estimates of soil moisture from the Soil Moisture Active-Passive satellite, (SMAP, passive microwave), the Advanced SCATterometer (ASCAT, Real Aperture Radar), and Global Land Data Assimilation System (GLDAS). The InSAR

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