SpacePy - A Python-based Library of Tools for the Space Sciences

Morley, S.; Welling, D. T.; Koller, J.; Larsen, B.; Henderson, M. G.; Niehof, J. T.

doi:10.25080/majora-92bf1922-00c

Cited by 79 publications

(88 citation statements)

References 12 publications

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“…The fourth and final case combines all of the models to create a complete set. Each event was visualized and analyzed using the PyBats module of the SpacePy software package [Morley et al, 2011].…”

Section: Methodsmentioning

confidence: 99%

Ionospheric outflow and cross polar cap potential: What is the role of magnetospheric inflation?

Welling

Zaharia

2012

Geophysical Research Letters

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[1] Reductions of the ionospheric cross polar cap potential in magnetohydrodynamic models that include polar windlike heavy ion outflow have become a ubiquitous observation in recent studies. The underlying mechanisms for these reductions, which are not to be confused with the problem of potential saturation, remain in question. A possible explanation is that such outflow inflates the magnetosphere, creating a blunter obstacle to the solar wind and reducing the upstream geoeffective length. Such an explanation is attractive because it describes the outflow-related potential drop in clear, modelindependent terms. This study uses three separate magnetohydrodynamic simulations to test this hypothesis: one coupled to a polar wind outflow model, one coupled to an inner magnetosphere code in order to reproduce the effect without explicit outflow, and a stand-alone baseline simulation. It is found that this hypothesis cannot explain the total reduction. Results suggest that other mechanisms, such as a change to the dayside reconnection rate, may be important, but further investigation is required. Citation: Welling, D. T., and S. G. Zaharia (2012), Ionospheric outflow and cross polar cap potential: What is the role of magnetospheric inflation?, Geophys.

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Section: Methodsmentioning

confidence: 99%

Ionospheric outflow and cross polar cap potential: What is the role of magnetospheric inflation?

Welling

Zaharia

2012

Geophysical Research Letters

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“…We acknowledge NASA contract NAS5-02099 and V. Angelopoulos for use of data from the THEMIS Mission, specifically, K. H. Glassmeier, U. Auster, and W. Baumjohann for the use of FGM data provided under the lead of the Technical University of Braunschweig and with financial support through the German Ministry for Economy and Technology and the German Center Haiducek leading to these results were financially supported by the U.S. Veterans administration under the Post-9/11 GI Bill. The Spacepy python library (Burrell et al, 2018;Morley et al, 2011Morley et al, , 2014 was used for a number of tasks related to reading and analyzing data in this paper.…”

Section: Acknowledgmentsmentioning

confidence: 99%

The Role of Current Sheet Scattering in the Proton Isotropic Boundary Formation During Geomagnetic Storms

et al. 2019

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There is considerable evidence that current sheet scattering (CSS) plays an important role in isotropic boundary (IB) formation during quiet time. However, IB formation can also result from scattering by electromagnetic ion cyclotron waves, which are much more prevalent during storm time. The effectiveness of CSS can be estimated by the parameter K=Rcrg, the ratio of the field line radius of curvature to the particle gyroradius. Using magnetohydrodynamic and empirical models, we estimated the parameter K associated with storm time IB observations on the nightside. We used magnetic field observations from spacecraft in the magnetotail to estimate and correct for errors in the K values computed by the models. We find that the magnetohydrodynamic and empirical models produce fairly similar results without correction and that correction increases this similarity. Accounting for uncertainty in both the latitude of the IB and the threshold value of K required for CSS, we found that 29–54% of the IB observations satisfied the criteria for CSS. We found no correlation between the corrected K and magnetic local time, which further supports the hypothesis that CSS played a significant role in forming the observed IBs.

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“…GOES magnetometer data and OMNI solar wind data were obtained from CDAWeb (https://cdaweb.sci.gsfc.nasa.gov/). The Spacepy python library (Burrell et al, ; Morley et al, , ) was used to read and write data in various formats (including HDF5 and the various formats used by SWMF), to interpolate the SWMF pressures and trace the magnetic field lines shown in Figure 2, and to compute superposed epoch analyses. Spacepy is available online (https://github.com/spacepy/spacepy or DOI 10.5281/zenodo.3470304).…”

Section: Acknowledgmentsmentioning

confidence: 99%

Using Multiple Signatures to Improve Accuracy of Substorm Identification

et al. 2020

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We have developed a new procedure for combining lists of substorm onset times from multiple sources. We apply this procedure to observational data and to magnetohydrodynamic (MHD) model output from 1-31 January 2005. We show that this procedure is capable of rejecting false positive identifications and filling data gaps that appear in individual lists. The resulting combined onset lists produce a waiting time distribution that is comparable to previously published results, and superposed epoch analyses of the solar wind driving conditions and magnetospheric response during the resulting onset times are also comparable to previous results. Comparison of the substorm onset list from the MHD model to that obtained from observational data reveals that the MHD model reproduces many of the characteristic features of the observed substorms, in terms of solar wind driving, magnetospheric response, and waiting time distribution. Heidke skill scores show that the MHD model has statistically significant skill in predicting substorm onset times.Plain Language Summary Magnetospheric substorms are a process of explosive energy release from the plasma environment on the nightside of the Earth. We have developed a procedure to identify substorms that uses multiple forms of observational data in combination. Our procedure produces a list of onset times for substorms, where each onset time has been independently confirmed by two or more observational data sets. We also apply our procedure to output from a physical model of the plasma environment surrounding the Earth and show that this model can predict a significant fraction of the substorm onset times.

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SpacePy - A Python-based Library of Tools for the Space Sciences

Cited by 79 publications

References 12 publications

Ionospheric outflow and cross polar cap potential: What is the role of magnetospheric inflation?

Ionospheric outflow and cross polar cap potential: What is the role of magnetospheric inflation?

The Role of Current Sheet Scattering in the Proton Isotropic Boundary Formation During Geomagnetic Storms

Using Multiple Signatures to Improve Accuracy of Substorm Identification

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