Assistant Research Professor, Hydrology
Tyler Doane is a geomorphologist who works to understand Earths surface processes and the imprint they make on the landscape. Using mathematical and probability theory, machine learning, remote sensing, and field work, he attempts to describe sediment production and transport in a range of settings. His current work is focused on identifying conditions and storms that generate runoff and detecting the subtle topographic signature that those event leave in post-fire settings. Another ongoing effort explains how the topographic roughness of semi-arid settings reflects ecohydrologic processes. Recent work demonstrates how extreme wind events are recorded in the land surface of forested landscapes and how we can use this relationship to extract an archive of windstorms over decades to centuries. Past work develops, refines, and explores the utility of new sediment transport models for hillslopes that reveal the physical mechanisms driving sediment transport.
Tyler has a PhD in Earth and Environmental Sciences from Vanderbilt University. He has also been a postdoc at the University of Arizona and Indiana University.
Personal Website:https://tdoane.github.io/home
Keywords
Geomorphology, Extreme Events, Hydrology, Probability Theory
Publications
2024
Doane, T. H., Gearon, J. H., Harrison, M. K., Yanites, B. J., Edmonds, D. A. (2024). Topographic Roughness as an emergent Property of Geomorphic Processes and Events, AGU Advances, 5 (5)
2023
Doane, T. H.,
Yanites, B. J.,
Edmonds, D. A.,
Novick, K. A. (2023).
Topographic Roughness Reveals Forest Sensitivity to Extreme Winds,
PNAS, 120 (3),
10.1073/pnas.2212105120
2021
Doane, T. H.,
Edmonds, D. A.,
Yanites, B. J.,
Yanites, B. J.,
Lewis, Q. (2021).
Topographic Roughness on Forested Hillslopes: A Theoretical Approach for Quantifying Hillslope Sediment Flux From Tree Throw,
Geophysical Research Letters, 48 (20),
10.1029/2021GL094987
Furbish, D. J., Williams, S. G., Roth, D. L., Doane, T. H., Roering, J. J. (2021). Rarefied particle motions on hillslopes–Part 2: Analysi, Earth Surface Dynamics, 9 (3), 577-613
Doane, T. H., Pelletier, J. D., Nichols, M. H. (2021). Hack distributions of rill networks and nonlinear slope length–soil loss relationships, Earth Surface Dynamics, 9 (2), 317-331
Furbish, D. J., Roering, J. J., Doane, T. H., Roth, D. L., Williams, S. G., Abbott, A. M. (2021). Rarefied particle motions on hillslopes–Part 1: Theory, Earth Surface Dynamics, 9 (3), 539-576
Furbish, D. J., Doane, T. H. (2021). Rarefied particle motions on hillslopes–Part 4: Philosophy, Earth Surface Dynamics, 9 (3), 629-664
Furbish, D. J., Williams, S. G., Doane, T. H. (2021). Rarefied particle motions on hillslopes–Part 3: Entropy, Earth Surface Dynamics, 9 (3), 615-628
2020
Roth, D. L., Doane, T. H., Roering, J. J., Furbish, D. J., Zettler-Mann, A. (2020). Particle motion on burned and vegetated hillslopes, Proceedings of the National Academy of Sciences, 117 (41), 25335-25343
2019
Doane, T. H., Roth, D. L., Roering, J. J., Furbish, D. J. (2019). Compression and decay of hillslope topographic variance in Fourier wavenumber domain, Journal of Geophysical Research: Earth Surface, 124 (1)
2018
Doane, T. H., Furbish, D. J., Roering, J. J., Schumer, R., Morgan, D. J. (2018). Nonlocal sediment transport on steep lateral moraines, eastern Sierra Nevada, California, USA, Journal of Geophysical Research: Earth Surface, 123 (1)
Furbish, D. J., Roering, J. J., Almond, P., Doane, T. H. (2018). Soil particle transport and mixing near a hillslope crest: 1. Particle ages and residence times, Journal of Geophysical Research: Earth Surface, 123 (5)
Furbish, D. J., Roering, J. J., Keen-Zebert, A. K., Almond, P., Doane, T. H., Schumer, R. (2018). Soil particle transport and mixing near a hillslope crest: 2. Cosmogenic nuclide and optically stimulated luminescence tracers, Journal of Geophysical Research: Earth Surface, 123 (5), 1078-1093
Conference Proceedings
2024
Doane, T. H., Majumdar, S., Yu, G. (2024). Testing the Utility of SAR for Mapping Surface Flow Events in Post-Fire Settings. AGU Fall Meeting: Washington, DC, December 9, 2024-December 13, 2024