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Note: all event times are in eastern (EST/EDT)
Join us for a webinar focused on building high-quality HydroGeoSphere models that are more likely to converge on a solution, and optimizing those models and numerical criteria to reduce model runtimes. We’ll review a number of different numerical concepts with a focus on practical guidance on how to approach convergence optimization.
In this webinar Dr. Killian Miller and Dr. Hyoun-Tae Hwang will introduce key topics and considerations that should form the basis for all climate change impact analyses using HydroGeoSphere. Topics of discussion will include:
Review of solver methods and options
Finite difference vs finite element
Control volume vs standard finite difference
Level of fill, drop tolerance preconditioning/threshold, etc.
Solver acceleration techniques
Upstream weighting factor, central weighting
Underrelaxation factor
Dual node vs common node formulation
Review of solver output, i.e. understanding phgs.exe runtime output
Simulation progress output
Summary of nonlinear iteration
Adaptive timestepping summary
Recommendations for optimizing convergence of different types of problems
Numerical setting recommendations for different types of problems
How to read runtime output, which variables to monitor, how to respond and improve runtime
Review debug.control and restart functionality
General tips & tricks (i.e. building a high quality mesh, starting with appropriate initial conditions, etc.)
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Interested in learning more about the control volume finite element method at the heart of HydroGeoSphere, and some of the benefits it provides (e.g. mass conservative, physically correct flow directions, monotonicity/no oscillations, etc.)? Watch our Numerical Methods and Parallel Processing webinar: