Dr. Andrew Parsekian

Associate Professor

Environmental Geophysics

Contact Information

(307)223-1197aparseki@uwyo.edu

S.H.Knight GE 133B

ORCID
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teaching

Fundamentals of Research (GEOL 5020) - every fall
This course is designed to be boot camp for incoming graduate students to: (A) become familiar with the “business” of science (i.e. how do I get funding, become visible and get a job?); (B) refine their communication skills; (C) get a jump start on developing a research project (ideally to be part of a MS or PhD thesis); (D) familiarize incoming graduate students on the workings of the department; and (E) have an opportunity to get to know their peers and some of the faculty.

 

Engineering and Environmental Geophysics (CE 5321/GEOL 5321) - spring, odd years
The content in this class fills the need for civil/environmental/transportation engineers and earth scientists to be capable at applying near-surface geophysical measurements and understanding the strengths and limitations of these methods for solving problems. Topics covered include principals of ground penetrating radar, electrical resistivity, seismic, nuclear magnetic resonance, rock physics relationships, inversion and other topics. A review of examples from the peer-reviewed scientific/engineering literature is presented. Students collect lab and field datasets and process and interpret the data.

research

Environmental Geophysics is the interdisciplinary field that investigates processes in Earth's systems using geophysical measurements. My research focuses on studying cryosphere and groundwater processes using non-invasive geophysical methods. Members of my research group have expertise with ground penetrating radar, seismic refraction tomography, time-lapse electrical resistivity tomography, and nuclear magnetic resonance.

 

Director, Hydrologic Science Program

education

PhD, Rutgers-Newark, 2011

BS, Dickinson College, 2005

recent publications

*indicates student lead-author

  • Li, A.*, Parsekian, A. D., Grana, D., & Carr, B. J. (2025). Quantification of measurement uncertainty in ERT data and its effect on the inverted resistivity model. Geophysics, 90(3), 1-77. https://doi.org/10.1190/geo2024-0466.1

  • Wig, E.*, Schaefer, K., Michaelides, R., Chen, R., Clayton, L. K., Fager, B., Parsekian,. A.D., Zebker, H., Zhang, H. & Zhao, Y. (2025). Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning. Earth and Space Science, 12(1), e2024EA003725.

  • Harris, R. H.*, Evans, S. G., Marshall, S. T., Godsey, S. E., & Parsekian, A. D. (2025). Using ground‐penetrating radar to infer ice wedge characteristics proximal to water tracks. Journal of Geophysical Research: Earth Surface, 130(1), e2024JF007832. https://doi.org/10.1029/2024JF007832

  • Pleasants, M. S.*, Kelleners, T. J., Parsekian, A. D., Befus, K. M., Flerchinger, G. N., Seyfried, M. S., & Carr, B. J. (2024). Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data. Journal of Hydrology, 132376. https://doi.org/10.1016/j.jhydrol.2024.132376

  • Ohara, N., Parsekian, A. D., Jones, B. M., Rangel, R. C., Hinkel, K. M., & Perdigão, R. A. (2024). Characterization of Non-Gaussianity in the Snow Distributions of Various Landscapes. The Cryosphere. https://doi.org/10.5194/tc-18-5139-2024

  • Loisel, J., Peters, J., Tegetmeyer, C., Girkin, N., Parsekian, A., & Rivera Wong, J. (2024). Observations from an expedition to Costa Rican peatlands. The Society of Wetland Scientists bulletin, 42(1).

  • Miller, C. E., Griffith, P. C., Hoy, E., Pinto, N. S., Lou, Y., Hensley, S., ... Parsekian, A.D. ...& Goetz, S. J. (2024). The ABoVE L-band and P-band airborne synthetic aperture radar surveys. Earth System Science Data, 16(6), 2605-2624. https://doi.org/10.5194/essd-16-2605-2024

  • Oladeji, E.*, Parsekian, A.D., & Grana, D. (2024). Machine learning‐based hydrofacies classification: Effects of noise and regularization. Journal of Geophysical Research: Machine Learning and Computation, 1(3), e2024JH000197. https://doi.org/10.1029/2024JH000197

  • Li, A.*, Grana, D., Parsekian, A. D., & Carr, B. (2024). Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data. Mathematical Geosciences, 1-25. https://doi.org/10.1007/s11004-023-10083-9

Please see my GoogleScholar profile for a full list of peer-reviewed journal articles.