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  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Statistics
  • Computer and Computational Sciences
  • High performance computing
  • Earth and Space Sciences
  • Geoscience
  • Hydrology
  • Remote sensing
  • Computer and Computational Sciences
  • Machine learning,
  • Earth and Space Sciences
  • Field studies and process experiments
  • Computational Physics and Applied Mathematics
  • Sensitivity analysis
  • Stochastic simulations
  • Earth and Space Sciences
  • Model calibration


Chuck Abolt is a hydrologist and soil scientist specializing in near-surface processes and cold environments. Chuck has experience using Amanzi-ATS, a multiphysics ecohydrology code developed at LANL, to evaluate how thaw-induced surface deformation (i.e., thermokarst) in tundra landscapes exerts feedbacks on permafrost stability. He also is experienced working with remotely sensed data and has authored a deep-learning based workflow for mapping periglacial geomorphic features within high resolution digital elevation models. Finally, Chuck is interested in the application of unmanned aerial vehicles to geosciences, and has written an algorithm for stabilizing and extracting temperature measurements from thermal imagery acquired using a cheap, uncooled camera system.  


Ph.D., Geological Sciences, The University of Texas at Austin, 2019.

M.S., Geological Sciences, The University of Texas at Austin, 2015.

B.A., Duke University, 2011.


LANL Positions

Postdoctoral Researcher, Computational Earth Sciences, 2019 - Present.


Professional Societies

American Geophysical Union



NASA Earth and Space Science Fellowship, 2017-2019.

Birkeland Soil Geomorphology Award (GSA), 2018.

Jackson School of Geosciences Endowed Presidential Scholarship, 2015.

Jackson School of Geosciences Recruitment Fellowship, 2013.



Abolt, C. J., M. H. Young, A. L. Atchley, D. R. Harp, and E. T. Coon, in review, Feedbacks between surface deformation and permafrost degradation in ice wedge polygons. Journal of Geophysical Research: Earth Surface.

Abolt, C. J., M. H. Young, in revision, High-resolution mapping of spatial heterogeneity in ice wedge polygon geomorphology near Prudhoe Bay, Alaska. Scientific Data.

Caldwell, T. G., T. Bongiovanni, M. Cosh, T. Jackson, A. Colliander, C. J. Abolt, T. E. Larson, B. R. Scanlon, and M. H. Young, 2019, The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation: Vadose Zone Journal, v. 18, 20 p.

Abolt, C. J., M. H. Young, A. L. Atchley, and C. J. Wilson, 2019, Rapid machine learning-based extraction and measurement of ice wedge polygons in airborne lidar data: The Cryosphere, v. 13, p. 237-245.

Abolt, C. J., T. G. Caldwell, B. D. Wolaver, and H. Pai, 2018, Unmanned aerial vehicle-based monitoring of groundwater inputs to surface waters using an economical thermal infrared camera: Optical Engineering, v. 57, no. 5, 053112.

Abolt, C. J., M. H. Young, A. L. Atchley, and D. R. Harp, 2018, Microtopographic control on the subsurface thermal regime in ice wedge polygons: The Cryosphere, v. 12, p. 1957-1968.

Abolt, C. J., M. H. Young, and T. G. Caldwell, 2017, Numerical modeling of ice-wedge polygon geomorphic transition: Permafrost and Periglacial Processes, v. 28, p. 347-355.

Pierre, J. P., C. J. Abolt, and M. H. Young, 2015, Impacts from above-ground activities in the Eagle Ford Shale play on landscapes and hydrologic flows, La Salle County, Texas: Environmental Management, v. 55, no. 6, p. 1262-1275.

Stults-Kolehmainen, M. A., P. R. Stanforth, J. B. Bartholomew, T. Lu, C. J. Abolt, and R. Sinha, 2013, DXA estimates of fat in abdominal, trunk, and hip regions vary by ethnicity in men: Nutrition & Diabetes, v. 3, UNSP e64.

Stults-Kolehmainen, M. A., T. A. Gilson, and C. J. Abolt, 2013, Feelings of acceptance and intimacy among teammates predict motivation in intercollegiate sport: Journal of Sport Behavior, v. 36, no. 3, p. 306-327.