References cited

Doherty, J., 2015. Calibration and Uncertainty Analysis for Complex Environmental Models. Watermark Numerical Computing, Brisbane, Australia. ISBN: 978-0-9943786-0-6. https://pesthomepage.org/pest-book

Haitjema, H.M., 1995, Analytic element modeling of groundwater flow: San Diego, Calif., Academic Press, 394 p. https://www.epa.gov/hydrowq/gflow-groundwater-flow-analytic-element-model

Leaf, A.T., and Fienen, M.N., 2022, Modflow-setup—Robust automation of groundwater model construction: Frontiers in Earth Science, v. 10, art. 903965, 11 p. https://doi.org/10.3389/feart.2022.903965

Westenbroek, S.M., Doherty, J., Walker, J.F., Kelson, V.A., Hunt, R.J., and Cera, T.B., 2012, Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization: U.S. Geological Survey Techniques and Methods, book 7, chap. C7, 79 p., 3 apps. https://doi.org/10.3133/tm7C7

White, J.T. (2017), Forecast First: An Argument for Groundwater Modeling in Reverse. Groundwater, 55: 660-664. https://doi.org/10.1111/gwat.12558

White, J.T., Fienen, M.N., and Doherty, J.E., 2016, A python framework for environmental model uncertainty analysis: Environmental Modelling & Software, v. 85, p. 217–228. https://doi.org/10.1016/j.envsoft.2016.08.017

White, J.T., Hemmings, B., Fienen, M.N., and Knowling, M.J., 2021, Towards improved environmental modeling outcomes—Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses: Environmental Modelling & Software, v. 139, art. 105022, 9 p. https://doi.org/10.1016/j.envsoft.2021.105022

White, J.T., Hunt, R.J., Fienen, M.N., and Doherty, J.E., 2020, Approaches to highly parameterized inversion—PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis: U.S. Geological Survey Techniques and Methods, book 7, chap. C26, 52 p. https://doi.org/10.3133/tm7C26

Published applications of Modflow-obs

Leaf, A.T., Duncan, L.L., Haugh, C.J., Hunt, R.J., and Rigby, J.R., 2023, Simulating groundwater flow in the Mississippi Alluvial Plain with a focus on the Mississippi Delta: U.S. Geological Survey Scientific Investigations Report 2023–5100, 143 p. https://doi.org/10.3133/sir20235100

Leaf, A.T., Duncan, L.L, and Haugh, C.J., 2023, MODFLOW 6 models for simulating groundwater flow in the Mississippi Embayment with a focus on the Mississippi Delta: U.S. Geological Survey data release, https://doi.org/10.5066/P971LPOB

Leaf, A.T., Haserodt, M.J., Meyer, B.E., Westenbroek, S.M., and Koch, J.C., 2024, Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5126, 111 p., https://doi.org/10.3133/sir20245126.