MODFLOW and More 2024 Program
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13:30<br />
Wednesday, June 5<br />
Lunch Panel/Discussion: The Future of Groundwater Modeling Education<br />
Laura Condon, Associate Professor, Hydrology <strong>and</strong> Atmospheric Sciences, University of Arizona<br />
Ty Ferré, University Distinguished Professor <strong>and</strong> Interim Associate Head, Hydrology <strong>and</strong> Atmospheric Sciences, Joint Professor,<br />
Environmental Science-Ext., University of Arizona<br />
14:00 Transition<br />
14:05<br />
14:25<br />
14:45<br />
14:50<br />
15:05<br />
15:20<br />
15:35<br />
15:50<br />
16:05<br />
Featured Presentations Featured Presentations in Friend 101<br />
Christian Langevin<br />
One Platform, Many Models: <strong>MODFLOW</strong> 6 as a Modular Hydrologic Simulator<br />
Lauren Foster<br />
Unraveling Complexity: How Numerical Models <strong>and</strong> AI Can Work Together to Exp<strong>and</strong> the Frontiers of Hydrologic Research<br />
Simulation Code Verification, Benchmarking,<br />
<strong>and</strong> Intercomparisons<br />
Chaired by: Sorab P<strong>and</strong>ay <strong>and</strong> Christian Langevin<br />
Sebastian Gries, Gösta<br />
Hülsmann<br />
Martin Vonk, Raoul Collenteur,<br />
Frans Schaars, Sorab<br />
P<strong>and</strong>ay, Mark Bakker<br />
Francisco Caicha, Salvador<br />
López, Cristian Godoy, Carlos<br />
Descourvieres, Ryan<br />
Jakubowski<br />
Alden Provost, Kerry Bardot,<br />
Christian Langevin, James<br />
McCallum<br />
Jacob Bauer<br />
Michael Ou, Vivek Bedekar,<br />
Matt Tonkin, Gilbert Barth<br />
ML-Based Linear Solver Control to<br />
Improve Performance of Groundwater<br />
Simulations<br />
Benchmarking Pastas time series<br />
models using synthetic head series<br />
generated with a variably saturated<br />
model<br />
Exploring <strong>MODFLOW</strong>-USG for the<br />
application of variably saturated flow<br />
processes at mining sites<br />
Improving the Accuracy of<br />
<strong>MODFLOW</strong> 6 Flow Simulations by<br />
Ensuring Adequate Cell Connectivity<br />
<strong>and</strong> Accounting for Flow Refraction<br />
Use of the <strong>MODFLOW</strong> API for Re-<br />
Run <strong>and</strong> Time-Parallelization of<br />
<strong>MODFLOW</strong> Solutions<br />
CHUMP: A Configuration-Based<br />
Postprocessing Framework for<br />
Automated Workflows<br />
16:25 Transition<br />
Using Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water<br />
Supply, Water Quality, <strong>and</strong> Ecology<br />
Chaired by: Steven Berg <strong>and</strong> Erica Siirila-Woodburn<br />
Hiroko Hort, Sorab P<strong>and</strong>ay<br />
Danielle Tijerina-Kreuzer,<br />
Yueling Ma, Chen Yang, Laura<br />
Condon, Reed Maxwell<br />
Adam Atchley, Chuck Abolt,<br />
Rod Linn<br />
Lijing Wang<br />
16:30 RAFFLE <strong>and</strong> Student Awards<br />
2023 Birdsall-Dreiss Distinguished Lecturer<br />
Exploring PFAS Retention in the<br />
Vadose Zone: Insights from<br />
Modeling <strong>and</strong> Management<br />
Strategies<br />
L<strong>and</strong>cover driven groundwater<br />
depletion<br />
Underst<strong>and</strong>ing complex wildl<strong>and</strong> fire<br />
drivers <strong>and</strong> effects through physicsbased<br />
modeling <strong>and</strong> machine<br />
learning enabled data set<br />
Identifying representative traits in<br />
mountainous hillslopes through<br />
hydrologic modeling <strong>and</strong> data<br />
integration<br />
17:00<br />
Kenneth Belitz<br />
Research Hydrologist, Water Resources Mission Area, US Geological Survey<br />
Applications of Ensemble Tree Machine Learning to Hydrogeology: Not Just a Black Box<br />
Friend Center 101, 5:00 – 6:00 PM<br />
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