DOI: 10.1029/2018JA025297
Scopus记录号: 2-s2.0-85050265462
论文题名: PYSAT: Python Satellite Data Analysis Toolkit
作者: Stoneback R.A. ; Burrell A.G. ; Klenzing J. ; Depew M.D.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期: 6 起始页码: 5271
结束页码: 5283
语种: 英语
英文关键词: python
; reproducible science
; system science
英文摘要: A common problem in space science data analysis is combining complementary data sources that are provided and analyzed in different formats and programming languages. The Python Satellite Data Analysis Toolkit (pysat) addresses this issue by providing an open source toolkit that implements the general process of space science data analysis, from beginning to end, in an instrument-independent manner. This toolkit uses an Instrument object that enables systematic analysis of science data from a variety of platforms within a single interface. Basic functions such as downloading, loading, and cleaning are included for all supported instruments. Common analysis routines are also included, which are instrument and data source independent. A nanokernel is used to provide instrument independence, it is attached to the Instrument object and mediates the systematic and arbitrary modification of loaded data. Pysat uses the nanokernel to improve the rigor of time series analysis, support on-the-fly orbit determination, and cleanly span file breaks. Pysat's functions and higher-level scientific analysis features are validated through the use of unit testing. Further adoption by the community provides a set of scientific results produced by a common core, constituting a distributed heritage that supports the validity of the underlying processing and scientific output. These features are used to demonstrate consistency between derived electron density profiles and measured ion drifts, particularly downward ion drifts in the afternoon hours during extreme solar minimum. Pysat builds upon open source Python software that is freely available and encourages community-driven development. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113803
Appears in Collections: 气候减缓与适应
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作者单位: W. B. Hanson Center for Space Sciences, Physics Department, University of Texas at Dallas, Richardson, TX, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
Recommended Citation:
Stoneback R.A.,Burrell A.G.,Klenzing J.,et al. PYSAT: Python Satellite Data Analysis Toolkit[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(6)