The Myth And Reality Of ‘Physics-Based’ Models In Geosciences
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https://geoaiunpacked.substack.com/p/the-myth-and-reality-of-physics-based <-- shared technical article
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“Across hydrology, fire, weather, and climate science, models are often described as physics-based—a phrase that evokes rigor, transparency, and trust. Yet, beneath the surface, much of what drives these models are empirical relationships and parameterizations rather than direct solutions of physical laws. These assumptions are necessary to make the equations computable, but they also introduce biases, tuning artifacts, and uncertainties that can propagate through every layer of simulation.
This doesn’t mean physics-based models are flawed or obsolete; rather, it highlights the complexity of modeling natural systems…”
#GeoAI #datadriven #physicsbased #model #modeling #usecase #appliedscience #accuracy #appropriateness #simulation #naturalsystems #hybrid #physicalrealism #hydrology #fire #weather #climate
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