دورية أكاديمية
sami2py—Overview and applications
العنوان: | sami2py—Overview and applications |
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المؤلفون: | Jeff Klenzing, Jonathon M. Smith, Alexa J. Halford, J. D. Huba, Angeline G. Burrell |
المصدر: | Frontiers in Astronomy and Space Sciences, Vol 9 (2022) |
بيانات النشر: | Frontiers Media S.A., 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Astronomy LCC:Geophysics. Cosmic physics |
مصطلحات موضوعية: | ionosphere, ionospheric model, SAMI2 model, python (programming language), open source software, software, Astronomy, QB1-991, Geophysics. Cosmic physics, QC801-809 |
الوصف: | sami2py is a Python module that runs the SAMI2 (Sami2 is Another Model of the Ionosphere) ionospheric model, as well as load and archive the results. SAMI2 is a model developed by the Naval Research Laboratory to simulate the motions of plasma in a two-dimensional ionospheric environment along a dipole magnetic field. SAMI2 solves for the chemical and dynamical evolution of seven ion species in this environment (H+, He+, N+, O+, N2+, NO+, and O2+). The Python implementation allows for additional modifications to the empirical models within SAMI2, including the exospheric temperature in the empirical thermosphere and the input of E×B ion drifts. The code is open source and available to the community on GitHub. The work here discusses the implementation and use of sami2py, including integration with the pysat ecosystem and the growin python package for ionospheric calculations. As part of the Application Usability Level (AUL) framework, we will discuss the usability of this code in terms of several ionospheric applications. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2296-987X |
Relation: | https://www.frontiersin.org/articles/10.3389/fspas.2022.1066480/full; https://doaj.org/toc/2296-987X |
DOI: | 10.3389/fspas.2022.1066480 |
URL الوصول: | https://doaj.org/article/5a8fa55974fa4fca8008d854b881afaf |
رقم الأكسشن: | edsdoj.5a8fa55974fa4fca8008d854b881afaf |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2296987X |
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DOI: | 10.3389/fspas.2022.1066480 |