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Episode #122 - What's the Weather in Space? w/ Jose Arnal

Math & Physics Podcast

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Navigating Complexity in Magnetohydrodynamics Modeling

This chapter explores the challenges of modeling magnetohydrodynamics (MHD) within space weather, stressing the significance of boundary conditions and the integrity of magnetic fields. It emphasizes the role of data assimilation and uncertainty quantification in refining model accuracy, particularly in the context of weather and space weather forecasting. The discussion highlights the intricate interplay between input data quality and predictive accuracy, illustrating critical optimization problems and the methods to tackle them.

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