Publications

*graduate researcher

*undergraduate researcher

In Review​:

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Published:

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Field, M. J., MacKie, E. J., Wang, L., Muto, A., & Shao, N. (2025). Improved bathymetry estimates beneath amundsen sea ice shelves using a markov chain monte carlo gravity inversion (gravmcmc, version 1). EGUsphere, 2025, 1-30.

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Shao, N., MacKie, E. J., Field, M. J., & McCormack, F. S. (2026). A Markov chain Monte Carlo approach for geostatistically simulating mass-conserving subglacial topography. Journal of Glaciology, 72, e51.

 

MacKie, E. J., Millstein, J., & Serafin, K. A. (2024). 47 years of large Antarctic calving events: Insights from extreme value theory. Geophysical Research Letters, 51(23), e2024GL112235.

 

Schoedl, N., MacKie, E. J., Field, M.,  Stubbs, E., Zhang, A., Hibbs, M., & Gravey, M. (2023). A Python multiprocessing approach for fast geostatistical simulations of subglacial topography. Computing in Science & Engineering.

 

MacKie, E. J., Field, M., Wang, L., Yin, Z., Schoedl, N., Hibbs, M., & Zhang, A. (2022). GStatSim V1. 0: a Python package for geostatistical interpolation and simulation. EGUsphere, 1-27.

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MacKie, E. J., Schroeder, D. M., Zuo, C., Yin, Z., & Caers, J. (2021). Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier. Journal of Glaciology, 67(261), 75-83.

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MacKie, E. J., Schroeder, D. M., Caers, J., Siegfried, M. R., & Scheidt, C. (2020). Antarctic topographic realizations and geostatistical modeling used to map subglacial lakes. Journal of Geophysical Research: Earth Surface, 125(3), e2019JF005420.

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