HUXt -- An open source, computationally efficient reduced-physics solar wind model, written in Python
Luke Barnard, Mathew Owens

TL;DR
HUXt is an open source, efficient 1D solar wind model in Python that emulates 3D MHD models with less computational cost, enabling large ensemble simulations and data assimilation for space weather prediction.
Contribution
The paper introduces version 4.0 of HUXt, featuring time-dependent boundary conditions, streakline tracing, and a test suite, enhancing its capabilities for research and operational use.
Findings
HUXt closely emulates 3D MHD solar wind models
Enables large ensemble simulations with modest resources
Supports data assimilation and operational space weather forecasting
Abstract
HUXt is an open source numerical model of the solar wind written in Python. It is based on the solution of the 1D inviscid Burger's equation. This reduced-physics approach produces solar wind flow simulations that closely emulate the flow produced by 3-D magnetohydrodynamic solar wind models at a small fraction of the computational expense. While not intended as a replacement for 3-D MHD, the simplicity and computational efficiency of HUXt offers several key advantages that enable experiments and the use of techniques that would otherwise be cost prohibitive. For example, large ensembles can easily be run with modest computing resources, which are useful for exploring and quantifying the uncertainty in space weather predictions, as well as for the application of some data assimilation methods. We present the developments in the latest version of HUXt, v4.0, and discuss our plans for…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Ionosphere and magnetosphere dynamics · Meteorological Phenomena and Simulations
