TWG Member Award
Eric A. Barefoot
The winner of the 2021 Spotlight Award is Dr. Eric A. Barefoot, recent Ph.D from Rice University!
Eric's nominator writes:
Eric has worked with a team, including Andrew Moodie and Jay Hariharan, to develop DeltaMetrics, a Python package for manipulating depositional system data cubes, which can be found in this GitHub repo. Eric's contribution is to extend the analysis tools for application on experimental data. Eric also showed outstanding enthusiasm and camaraderie during the 2020 Earth Surface Processes Institute. He was quick to answer questions from other participants and offer helpful advice. Finally, we would like to highlight his outreach work with AGU EPSP. He has helped lead a new initiative for students to network with scientists across diverse career paths. We are proud to have him in our community!
The winner of the 2020 Spotlight Award is Dr. Katherine (Katy) Barnhart, scientist at the U.S. Geological Survey!
We acknowledge Katy for her work on Landlab, and specifically her contributions of terrainbento and umami, which can both be found here on GitHub. These two software packages can be used to build and compare the outcomes of different landscape evolution models. Katy is the lead author on a three-part series in JGR-Earth Surface which is essentially a how-to guide on parameter exploration, inter-model comparison, and using landscape evolution models to infer landscape shaping processes from landscape form (see paper 1, paper 2, and paper 3). Katy is now a USGS Mendenhall Fellow working on post-fire debris flow processes..
Brigid M. Lynch
The winner of the November 2018 Spotlight Award is also our first Terrestrial Working Group Member Spotlight winner, Brigid M. Lynch, graduate student at Indiana University!
Brigid's nominator writes:
Brigid is coupling Landlab with WRF (Weather Research and Forecasting) and WRF-Hydro to explore the co-evolution of climate and landscapes. By using WRF, she is able to explicitly model the spatio-temporal patterns of precipitation during the growth of a mountain range. She is finding that the evolution of discharge distributions is latitude dependent, suggesting the feedbacks between mountain growth and orographic precipitation is spatially variable. Such modeling work will provide insight into data-focused exploration of the interaction of climate, tectonics, and topography.