Editor's Highlight：
本周发布的为AGU EOS（Earth & Space Science News）的最新Editor's Highlight和中国学生可以申请的北美学习机会哦！欢迎关注我们！
New Global Crustal Model Built as Foundation for Future Studies
A new global crustal model and its corresponding uncertainty were obtained using minimum a priori information and a geostatistical approach.
SOURCE:Journal of Geophysical Research: Solid Earth
New global map of the depth of the base of the Earth's crust, also called the Moho boundary. Credit: Szwillus et al., 2019, Figure 10a
A global crustal model is a critical tool to address a wide range of important questions in Earth Science. Yet, for most of the current available models, geological intuition and interpolation over large distances were used for poorly constrained areas. Szwillus et al. [2019] provide a new global crustal model founded on available active-source seismic data and built without introducing any a priori knowledge for regions with sparse data coverage. A key aspect of this study is that it uses geostatistical analysis that allows for complete evaluation of model uncertainty.
The new global maps of Moho depth and average crustal P-wave velocity will be extremely useful for a broad-range of applications in Earth Science;for example, regional to global scale tomography, dynamic topography studies, and the seismic monitoring of nuclear explosions. Results from this study can also be contrasted with existing global crustal models. Furthermore, the minimum use of a priori information and the availability of both the seismic database and the code makes it an optimal model to perform further studies on this topic.
Citation: Szwillus, W., Afonso, J. C. C., Ebbing, J., & Mooney, W. D. [2019]. Global crustal thickness and velocity structure from geostatistical analysis of seismic data. Journal of Geophysical Research: Solid Earth, 124. https://doi.org/10.1029/2018JB016593
—Anne Becel, Associate Editor, JGR: Solid Earth
国外学习机会：
1. Postdoctoral Fellow, Transport in Porous Media and Biological Systems
Reno, Nevada
Desert Research Institute
2. Postdoctoral Appointee - Agroecosystem Modeling
Lemont, Illinois (Chicagoland area)
Argonne National Laboratory
https://findajob.agu.org/job/8009489/postdoctoral-appointee-agroecosystem-modeling/
3. Glenadore and Howard L. Pim Postdoctoral Fellowship in Global Change
Baltimore, Maryland (US)
Johns Hopkins University Earth & Planetary Sciences
4. Ph.D. Research Assistantship
Columbia, Missouri
University of Missouri, Department of Geological Sciences
https://findajob.agu.org/job/8009480/ph-d-research-assistantship/
责任编辑：孙佳悦
