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Dylan Robert Harp

Dylan Harp

Phone (505) 667-5532


  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Subsurface flow simulation
  • Mesh generation
  • Agent-based applications
  • Statistics
  • Uncertainty quantification
  • Uncertainty analysis
  • Computer and Computational Sciences
  • Open MPI development
  • Earth and Space Sciences
  • Geoscience
  • Subsurface flow and transport
  • Hydrology
  • Computer and Computational Sciences
  • Machine learning,
  • Earth and Space Sciences
  • Climate modeling
  • Computer and Computational Sciences
  • High performance computing
  • Earth and Space Sciences
  • Information Science and Technology
  • Uncertainty quantification (UQ)
  • Machine Learning
  • Network security
  • Science of Signatures - Remote and Standoff Sensing
  • Machine learning,
  • High performance computing
  • Computational Physics and Applied Mathematics
  • Sensitivity analysis
  • Stochastic simulations
  • Earth and Space Sciences
  • Decision Analysis
  • Inverse modeling
  • Model calibration
  • FEHM: Finite-Element Heat and Mass-Transfer
  • Subsurface energy applications risk analysis


Dylan Harp is a computational hydrogeologist. He designs and implements data analysis, analytical and numerical simulators, and uncertainty quantification algorithms for hydrogeological investigations. His areas of research include groundwater flow and contaminant transport, CO2 sequestration, nuclear waste disposal, permafrost degradation, gas migration from underground nuclear explosions, and geothermal energy development.

Dylan utilizes and develops the following groundwater flow and transport simulators:

  • FEHM, Finite Element Heat and Mass Transfer
  • ATS, The Advanced Terrestrial Simulator
  • Amanzi, The Advanced Simulation Capability for Environmental Managment (ASCEM) simulator

Dylan is the primary develop of:

  • MATK, Python Model Analysis ToolKit package
  • PyLaGriT, Python frontend for the Los Alamos Grid Toolbox (LaGriT)

Dylan is a codeveloper of the uncertainty quantification code Model Analysis and Decision Support, MADS and the Uncertainty Quantification toolkit (UQuant) within the ASCEM project.  

Dylan also uses the following uncertainty quantification tools to solve hydrogeological problems:



PhD Civil Engineering UNM, 2009; Dissertation: Hydrogeological Engineering Approaches to Investigate and Characterize Heterogeneous Aquifers; Advisor: Bruce Thomson

MS Civil Engineering UNM, 2005: Thesis: Measurement and Estimation of Soil-Water Evaporation from Bare Soil; Advisor: John Stormont

BS Civil Engineering UNM, 2004: Summa Cum Laude


LANL Positions

Research Scientist - 2010-Present

Postdoctoral Research Fellow 2009-2010

Graduate Research Assistant 2006-2009


Professional Societies

American Geophysical Union



New Mexico Small Business Program Top Ten Success Story Award with Letter of Appreciation from New Mexico Governor Susana Martinez
Real Works Scholar Fellowship
American Chemical Society Award



Dylan Harp's Google Scholar page


[1] Dylan R Harp, Philip H Stau er, Daniel OMalley, Zunsheng Jiao, Evan P Egenolf, Terry A Miller, Daniella Martinez, Kelsey A Hunter, Richard S Middleton, Je rey M Bielicki, et al. Development of robust pressure management strategies for geologic co2 sequestration. International Journal of Greenhouse Gas Control, 64:43{59, 2017. [2] Maruti Kumar Mudunuru, Satish Karra, Dylan Robert Harp, GD Guthrie, and Hari S Viswanathan. Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems. Geothermics, 70:192{205, 2017. [3] Elizabeth Keating, Diana Bacon, Susan Carroll, Kayyum Mansoor, Yunwei Sun, Liange Zheng, Dylan Harp, and Zhenxue Dai. Applicability of aquifer impact models to support decisions at co 2 sequestration sites. International Journal of Greenhouse Gas Control, 52:319{330, 2016. [4] Adam L Atchley, Ethan T Coon, Scott L Painter, Dylan R Harp, and Cathy J Wilson. Influences and interactions of inundation, peat, and snow on active layer thickness. Geophysical Research Letters, 43(10):5116{5123, 2016. [5] Dylan R Harp, Rajesh Pawar, J William Carey, and CarlWGable. Reduced order models of transient CO2 and brine leakage along abandoned wellbores from geologic carbon sequestration reservoirs. NRAP Special Edition: International Journal of Greenhouse Gas Control, 45:150{162, 2016. [6] Dylan R Harp, AL Atchley, SL Painter, ET Coon, CJ Wilson, VE Romanovsky, and JC Rowland. E ect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis. The Cryosphere, 10(1):341{358, 2016. [7] Elizabeth H Keating, Dylan R Harp, Zhenxue Dai, and Rajesh J Pawar. Reduced order models for assessing co 2 impacts in shallow uncon ned aquifers. International Journal of Greenhouse Gas Control, 46:187{196, 2016. [8] Ylva Sjoberg, Ethan Coon, K Sannel, A Britta, Romain Pannetier, Dylan Harp, Andrew Frampton, Scott L Painter, and Steve W Lyon. Thermal e ects of groundwater flow through subarctic fens: A case study based on eld observations and numerical modeling. Water Resources Research, 2016. [9] AL Atchley, SL Painter, Dylan R Harp, ET Coon, CJ Wilson, AK Liljedahl, and VE Romanovsky. Using eld observations to inform thermal hydrology models of permafrost dynamics with ATS (v0. 83). Geoscienti c Model Development, 8(4):27012722, 2015. [10] Amy B Jordan, Philip H Stau er, Dylan R Harp, J William Carey, and Rajesh J Pawar. A response surface model to predict CO2 and brine leakage along cemented wellbores. International Journal of Greenhouse Gas Control, 33:27{39, 2015. [11] Dylan R Harp, Philip H Stau er, Phoolendra K Mishra, Daniel G Levitt, and Bruce A Robinson. Thermal modeling of high-level nuclear waste disposal in a salt repository. Nuclear Technology, 187(3):294{307, 2014. [12] Dylan R Harp, Rajesh Pawar, and Carl W Gable. Numerical modeling of cemented wellbore leakage from storage reservoirs with secondary capture due to thief zones. Energy Procedia, 63:3532{3543, 2014. [13] Dylan R Harp and Velimir V Vesselinov. Accounting for the influence of aquifer heterogeneity on spatial propagation of pumping drawdown. Journal of Water Resource and Hydraulic Engineering, 2(3), 2013. [14] Dylan R Harp and Velimir V Vesselinov. Contaminant remediation decision analysis using information gap theory. Stochastic Environmental Research and Risk Assessment, 27(1):159{168, 2013. [15] Dylan R Harp and Velimir V Vesselinov. An agent-based approach to global uncertainty and sensitivity analysis. Computers & Geosciences, 40:19{27, 2012. [16] Dylan R Harp and Velimir V Vesselinov. Analysis of hydrogeological structure uncertainty by estimation of hydrogeological acceptance probability of geostatistical models. Advances in Water Resources, 36:64{74, 2012. [17] Velimir V Vesselinov and Dylan R Harp. Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models. Computers & Geosciences, 49:10{20, 2012. [18] Dylan R Harp and Velimir V Vesselinov. Identi cation of pumping influences in longterm water level fluctuations. Ground water, 49(3):403{414, 2011. [19] Dylan R Harp and Velimir V Vesselinov. Stochastic inverse method for estimation of geostatistical representation of hydrogeologic stratigraphy using borehole logs and pressure observations. Stochastic Environmental Research and Risk Assessment, 24(7):1023{1042, 2010. [20] Dylan R Harp, Mahmoud Reda Taha, and Timothy J Ross. Genetic-fuzzy approach for modeling complex systems with an example application in masonry bond strength prediction. Journal of Computing in Civil Engineering, 23(3):193{199, 2009. [21] Dylan R Harp, Zhenxue Dai, Andrew V Wolfsberg, Jasper A Vrugt, Bruce A Robinson, and Velimir V Vesselinov. Aquifer structure identi cation using stochastic inversion. Geophysical Research Letters, 35(8), 2008. [22] Dylan R Harp, MM Reda Taha, JC Stormont, E Farfan, and J Coonrod. An evaporation estimation model using optimized fuzzy learning from example algorithm with an application to the riparian zone of the middle rio grande in new mexico, usa. Ecological Modelling, 208(2):119{128, 2007.


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