Zobrazeno 1 - 10
of 177
pro vyhledávání: '"William Menke"'
Autor:
Sarah Shi, William Henry Towbin, Terry Plank, Anna Barth, Daniel Rasmussen, Yves Moussallam, Hyun Joo Lee, William Menke
Publikováno v:
Volcanica, Vol 7, Iss 2, Pp 471-501 (2024)
Quantifying volatile concentrations in magmas is critical for understanding magma storage, phase equilibria, and eruption processes. We present PyIRoGlass, an open-source Python package for quantifying concentrations of H2O and CO2 species in the tra
Externí odkaz:
https://doaj.org/article/b14ab47e6ec44147b693119fff6c4078
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Tectonic forces alone cannot drive rifting in old and thick continental lithosphere. Geodynamic models suggest that thermal weakening is critical for lithospheric extension, yet many active rifts lack volcanism, seeming to preclude this proc
Externí odkaz:
https://doaj.org/article/dd4a4b3e10534ee58ce87e730ec077be
Autor:
William Menke
Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner fo
Autor:
William Menke, Joshua Menke
Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realist
Autor:
William Menke
Publikováno v:
Applied Mathematics. 13:566-584
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963c025173f779af35aa6f0adda23e3c
https://doi.org/10.4236/am.2022.136036
https://doi.org/10.4236/am.2022.136036
Autor:
William Menke
Publikováno v:
Applied Mathematics. 13:859-868
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ddb6917636b938d0c83f09c6354dddf
https://doi.org/10.4236/am.2022.1311054
https://doi.org/10.4236/am.2022.1311054
Autor:
William Menke, Roger Creel
Publikováno v:
Bulletin of the Seismological Society of America. 112:597-607
This article explains the features of differential data that make them attractive, their shortcomings, and the situations for which they are best suited. The use of differential data is ubiquitous in the seismological community, in which they are use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cae56bbc23111fdb56d905e3163dee8f
https://doi.org/10.1785/0120210014
https://doi.org/10.1785/0120210014
Autor:
Roger Creel, William Menke
Publikováno v:
Surveys in Geophysics. 42:473-503
We review Gaussian process regression (GPR) and analyze it in the context of Inverse Theory—the collection of techniques used in geophysics (among other fields) to understand the structure of data analysis problems and the quality of their solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3a1dcda95e9fbc711551cac560d71f7
https://doi.org/10.1007/s10712-021-09640-w
https://doi.org/10.1007/s10712-021-09640-w
Autor:
William Menke
Publikováno v:
Applied Mathematics. 12:157-170
Generalized Least Squares (least squares with prior information) requires the correct assignment of two prior covariance matrices: one associated with the uncertainty of measurements; the other with the uncertainty of prior information. These assignm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::191ccc0c998d09669db22d220fc770c2
https://doi.org/10.4236/am.2021.123011
https://doi.org/10.4236/am.2021.123011
Autor:
J. B. Russell, William Menke
Publikováno v:
Bulletin of the Seismological Society of America. 110:1125-1133
The non-double-couple (non-DC) components of the moment tensor provide insight into the earthquake processes and anisotropy of the near-source region. We investigate the behavior of the isotropic (ISO) and compensated linear vector dipole (CLVD) comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1224680f7e03545ac123e5b84b9a5afe
https://doi.org/10.1785/0120190319
https://doi.org/10.1785/0120190319