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Einat Lev

Researcher at Lamont–Doherty Earth Observatory

Publications -  55
Citations -  1309

Einat Lev is an academic researcher from Lamont–Doherty Earth Observatory. The author has contributed to research in topics: Lava & Volcano. The author has an hindex of 16, co-authored 43 publications receiving 1052 citations. Previous affiliations of Einat Lev include Massachusetts Institute of Technology & Columbia University.

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Geodynamics of the southeastern Tibetan Plateau from seismic anisotropy and geodesy

TL;DR: In this article, the fast directions of seismic anisotropy determined using shear-wave splitting analysis correlate with the surfi cial geology including major sutures and shear zones and with the surface strain derived from the global positioning system velocity fi eld.
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Seismic anisotropy in Eastern Tibet from shear wave splitting reveals changes in lithospheric deformation

TL;DR: In this article, the authors measured shear wave splitting of core-refracted phases (SKS and SKKS) at a temporary array of 25 IRIS-PASSCAL stations.
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Kinematic variables and water transport control the formation and location of arc volcanoes

TL;DR: It is demonstrated that the location of arc volcanoes is controlled by a combination of conditions: melting in the wedge is induced at the overlap of regions in the wedges that are hotter than the melting curve (solidus) of vapour-saturated peridotite and regions where hydrous minerals both inThe wedge and in the subducting slab break down.
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Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges

TL;DR: Unoccupied aircraft systems (UAS) are developing into fundamental tools for tackling the grand challenges in volcanology; here, they are reviewed and their diverse applications are reviewed.
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Investigating lava flow rheology using video analysis and numerical flow models

TL;DR: In this article, the authors present a new methodology for investigating lava rheology through a combination of controlled experiments, image analysis and numerical forward modeling, which can be used in field conditions to obtain in-situ information on lava velocimetry, without physical interaction with the flow and without being limited to pointwise, low strain-rate, local measurements currently available through the use of rotational viscometers in the field.