Published in Mine Water and the Environment, 2025
Recommended citation: White, J., Coulon, C., Hugman, R., Markovich, K., 2025. Reliable Trade-offs Between Environment and Economy: Implications for Mine Dewatering and Managed Aquifer Recharge. Mine Water and the Environment. https://doi.org/10.1007/s10230-025-01070-z
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Published in Water Resources Research, 2025
Recommended citation: Noyes, C., Ferguson, G., Seltzer, A., Ng, J., Carroll, K. C., Tyne, R., Markovich, K., Purtschert, R., Stute, M., Severinghaus, J., and McIntosh, J. (2025). Variations in groundwater recharge and water table elevations across the Holocene in a semi-arid alluvial basin. Water Resources Research, 61, e2024WR037606. https://doi.org/10.1029/2024WR037606
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Published in Groundwater, 2025
Recommended citation: Hayek, M., White, J.T., Markovich, K.H., Hughes, J.D. and Lavenue, M. (2025), MF6-ADJ: A Non-Intrusive Adjoint Sensitivity Capability for MODFLOW 6. Groundwater. https://doi.org/10.1111/gwat.70025
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Published in Journal of Open Science Education, 2024
The GMDSI tutorial notebooks repository provides learners with a comprehensive set of tutorials for self-guided training on decision-support groundwater modelling using Python-based tools
Recommended citation: Hugman, R.T., White, J.T., Fienen, M.N., Hemmings, B., and Markovich, K.H. (2024). Self-Guided Decision Support Groundwater Modelling with Python. Journal of Open Source Education, 7(82), 240, https://doi.org/10.21105/jose.00240
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Published in Groundwater, 2024
Technical note reviewing the GMDSI notebooks for decision support modeling anlayses using PEST/PEST++
Recommended citation: Ford, C., Ha, W., Markovich, K. and Zwinger, J. (2024), Jupyter Notebooks for Parameter Estimation, Uncertainty Analysis, and Optimization with PEST++. Groundwater, 62: 825-829. https://doi.org/10.1111/gwat.13447
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Published in Environmental Modelling and Software, 2022
Recommended citation: Markovich, K. H., White, J.T., and Knowling, M.J. (2022). Sequential and batch data assimilation approaches to cope with groundwater model error: An empirical evaluation. Environmental Modelling and Software, 156. https://doi.org/10.1016/j.envsoft.2022.105498.
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Published in Water Resources Research, 2021
Recommended citation: Markovich, K. H., Condon, L.E., Carroll, K. C., Purtschert,R., & McIntosh, J. C. (2021). A mountain-front recharge component characterization approach combining groundwater age distributions, noble gas thermometry, and fluid and energy transport modeling. Water Resources Research, 57, e2020WR027743. https://doi.org/10.1029/2020WR027743
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Published in Water Resources Research, 2020
Recommended citation: Rapp, G. A., Condon, L. E., & Markovich, K. H. (2020). Sensitivity of simulated mountain block hydrology to subsurface conceptualization. Water Resources Research, 56, e2020WR027714. https://doi.org/10.1029/2020WR027714
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Published in Water Resources Research, 2020
This commentary piece reviews common approaches for defining the bottom of watersheds
Recommended citation: Condon, L. E., Markovich, K. H., Kelleher, C. A., McDonnell, J. J., Ferguson, G., & McIntosh, J. C. (2020). Where is the bottom of a watershed? Water Resources Research, 56, e2019WR026010. https://doi.org/10.1029/2019WR026010
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Published in Water Resources Research, 2019
Review of literature on mountain-block recharge to provide a current state of understanding and guide future research priorities.
Recommended citation: Markovich, K., H, Manning, A. H., Condon, L. E., & McIntosh, J. C. (2019). Mountain-block recharge: A review of current understanding. Water Resources Research, 55, 8278–8304. https://doi.org/10.1029/2019WR025676
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Published in Journal of Hydrology, 2019
Hydrograph separation using Bayesian endmember mixing analysis for an alpine volcanic watershed in Central Chile
Recommended citation: Markovich, K.H., Dahlke, H.E., Arumi, J.L., Maxwell R.M., and Fogg. G.E., 2019. Bayesian hydrograph separation in a minimally gauged alpine catchment, Journal of Hydrology, 575, 1288–1300. https://doi.org/10.1016/j.jhydrol.2019.06.014.
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Published in Hydrological Processes, 2016
This study explores the response to warming in alpine hillsopes of varying bedrock permeability using ParFlow-CLM
Recommended citation: Markovich, K. H., Maxwell, R. M., and Fogg, G. E. (2016) Hydrogeological response to climate change in alpine hillslopes. Hydrol. Process., 30: 3126–3138. doi: 10.1002/hyp.10851.
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