Jordan Lubbers
Jordan is a Mendenhall research fellow working on quantifying the frequency of large volume tephra producing eruptions in the Aleutian arc. To do this, he primarily uses micro-analytical techniques (e.g., EPMA, LA-ICP-MS), numerical models, and multivariate statistics.
Previously Jordan has worked on quantifying timescales of generating large volumes of eruptible silicic magma associated with caldera forming eruptions. A large portion of this research dealt with using changes in mineral chemistry (think chemical zoning) to better understand larger magma reservoir scale processes. To investigate these issues, he commonly uses tools that gather in situ geochemical information (i.e. EPMA, laser ablation ICP-MS, Computed Tomography) and methods that utilize their data (i.e. diffusion chronometry, thermodynamic modeling). He also has worked on and is passionate about generating open source software, with a focus on Python, for the petrology community with recent efforts devoted to thermobarometry, laser ablation ICP-MS data reduction, and image processing.
Education and Certifications
PhD Geology - Oregon State University
MS Geology - Michigan Technological University
BS Geology - University of Wisconsin Oshkosh
Affiliations and Memberships*
American Geophysical Union
Geochemical Society
Mineralogical Society of America
Science and Products
lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data
Constraining magma storage conditions of the Toba magmatic system: A plagioclase and amphibole perspective
Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska-Aleutian arc
Glass electron microprobe analyses methods, precision and accuracy for tephra studies in Alaska
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
lasertram (Version 1.0.0)
Science and Products
lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data
Constraining magma storage conditions of the Toba magmatic system: A plagioclase and amphibole perspective
Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska-Aleutian arc
Glass electron microprobe analyses methods, precision and accuracy for tephra studies in Alaska
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
lasertram (Version 1.0.0)
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government