Mapping the Alaskan Moho

Abstract

Research Article| October 10, 2018 Mapping the Alaskan Moho Meghan S. Miller; Meghan S. Miller aAustralian National University, Research School of Earth Sciences, Building 142 Mills Road, Canberra, Australian Capital Territory 2601, Australia, meghan.miller@anu.edu.au Search for other works by this author on: GSW Google Scholar Louis Moresi Louis Moresi bUniversity of Melbourne, School of Earth Sciences, Parkville, Victoria 3010, Australia Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2018) 89 (6): 2430–2436. https://doi.org/10.1785/0220180222 Article history first online: 10 Oct 2018 Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Meghan S. Miller, Louis Moresi; Mapping the Alaskan Moho. Seismological Research Letters 2018;; 89 (6): 2430–2436. doi: https://doi.org/10.1785/0220180222 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT We present a series of Moho depth maps for the Alaskan region based on P receiver function estimates using data from all available broadband instrumentation from 1999 to April 2018 including the USArray Transportable Array. The average Moho depths beneath individual broadband stations are presented first as spot measurements and then used to produce a series of interpolated smooth surfaces by an adaptive triangulation process followed by the fitting of a bicubic spline. The interpolated surfaces include a measure of confidence in the interpolation and can be used to assess and determine a preferred model. The resulting Moho depth map (single continuous surface) provides a reasonable estimate of the Earth’s outermost layer thickness beneath Alaska as constrained by receiver functions for use in applications such as tomography, regional‐scale interpretations, or simulations of seismic waves. The models are provided as a python module with examples in the form of jupyter notebooks. Our original workflow is provided to allow updates to this dataset or use with other similar datasets. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.