2022
DOI: 10.3847/1538-4365/ac67eb
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MSWIM2D: Two-dimensional Outer Heliosphere Solar Wind Modeling

Abstract: The vast size of the Sun’s heliosphere, combined with sparse spacecraft measurements over that large domain, makes numerical modeling a critical tool to predict solar wind conditions where there are no measurements. This study models the solar wind propagation in 2D using the BATSRUS MHD solver to form the MSWIM2D data set of solar wind in the outer heliosphere. Representing the solar wind from 1 to 75 au in the ecliptic plane, a continuous model run from 1995–present has been performed. The results are availa… Show more

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Cited by 5 publications
(8 citation statements)
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References 42 publications
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“…As a crude estimation, B y and B z can be scaled as 1/r, while the proton density and Bx can be scaled as 1/r 2 . For a more accurate description, a model (e.g., MSWIM2D by Keebler et al 2022) is needed to propagate the solar wind from 1 to 1.3 au. As this study focuses on the cometary magnetospheric response to an extreme CME, it is not critical to scale the solar wind observations to the exact same heliocentric distance.…”
Section: Methodsmentioning
confidence: 99%
“…As a crude estimation, B y and B z can be scaled as 1/r, while the proton density and Bx can be scaled as 1/r 2 . For a more accurate description, a model (e.g., MSWIM2D by Keebler et al 2022) is needed to propagate the solar wind from 1 to 1.3 au. As this study focuses on the cometary magnetospheric response to an extreme CME, it is not critical to scale the solar wind observations to the exact same heliocentric distance.…”
Section: Methodsmentioning
confidence: 99%
“…ACR intensities did not change at the TS, but slowly increased as the spacecraft moved deeper into the HS (Decker et al, 2010). Hypotheses for the ACR acceleration mechanism and location are: 1) in the flanks of the TS (Cummings et al, 2008); 2) in "hot spots" along a turbulent TS (McComas & Schwadron, 2006;Kota, 2010); 3) by reconnection (Guo et al, 2010;Opher et al, 2011;Keebler et al, 2022); 4) by turbulence processes (Zank et al, 2015); 5) by second-order Fermi acceleration; and 5) by turbulence generated by multi-ion magnetosonic waves (Dialynas et al, 2020). Knowledge Gap: We need to understand where and how ACRs are accelerated.…”
Section: Rt43 Acceleration Of Anomalous Cosmic Rays (Acrs)mentioning
confidence: 96%
“…Interplanetary shocks observed by NH will be simulated using PIC simulations (Swisdak, Drake) (Drake et al, 2010) and multi-ion fluid simulations (Zieger, Keebler) (Zieger et al, 2015;2020). Turbulence parameters will be constrained by Voyager (Fraternale et al, 2019) (Richardson, Szabo) and NH (Keebler et al, 2022) data (Elliott, Hill). Outcome: SHIELD will predict the PUI spectra upstream of the TS for input into global MHD models and production of ENA maps.…”
Section: Rt21 Pui Evolution In the Supersonic Solar Windmentioning
confidence: 99%
“…Interplanetary shocks observed by NH will be simulated using PIC simulations (Swisdak, Drake) (Drake et al, 2010) and multi-ion fluid simulations (Zieger, Keebler) (Zieger et al, 2015;. Turbulence parameters will be constrained by Voyager (Fraternale et al, 2019) (Richardson, Szabo) and NH (Keebler et al, 2022) data (Elliott, Hill). Outcome: SHIELD will predict the PUI spectra upstream of the TS for input into global MHD models and production of ENA maps.…”
Section: Rt21 Pui Evolution In the Supersonic Solar Windmentioning
confidence: 99%