4 citations · 4 across the 3 of their papers we have counts for
7 papers
Neural Enhancement of the Traditional Wang-Sheeley-Arge Solar Wind Relation
Prateek Mayank, Enrico Camporeale, Arpit K. Shrivastav +2
The Wang-Sheeley-Arge (WSA) model has been the cornerstone of operational solar wind forecasting for nearly two decades, owing to its simplicity and physics-based formalism. Howeve…
Evaluating Solar Wind Forecast Using Magnetic Maps That Include Helioseismic Far-Side Information
Stephan G. Heinemann, Dan Yang, Shaela I. Jones +5
To model the structure and dynamics of the heliosphere well enough for high-quality forecasting, it is essential to accurately estimate the global solar magnetic field used as inne…
What Causes Errors in Wang-Sheeley-Arge Solar Wind Modeling at L1 ?
Satabdwa Majumdar, Martin Reiss, Karin Muglach +1
Previous ambient solar wind (SW) validation studies have reported on discrepancies between modeled and observed SW conditions at L1. They indicated that a major source of discrepan…
Ensemble Modeling of the Solar Wind Flow with Boundary Conditions Governed by Synchronic Photospheric Magnetograms. I. Multi-point Validation in the Inner Heliosphere
Dinesha V. Hegde, Tae K. Kim, Nikolai V. Pogorelov +2
The solar wind (SW) is a vital component of space weather, providing a background for solar transients such as coronal mass ejections, stream interaction regions, and energetic par…
Quantifying Uncertainties in Solar Wind Forecasting Due to Incomplete Solar Magnetic Field Information
Stephan G. Heinemann, Jens Pomoell, Ronald M. Caplan +5
Solar wind forecasting plays a crucial role in space weather prediction, yet significant uncertainties persist due to incomplete magnetic field observations of the Sun. Isolating t…
Quantitative Image-Based Validation Framework for Assessing Global Coronal Magnetic Field Models
Christopher E. Rura, Vadim M. Uritsky, Shaela I. Jones +3
Coronagraph observations provide key information about the orientation of the Sun's magnetic field. Previous studies used various algorithms to segment quasi-radial features in cor…