The Space Physics Environment Data Analysis System (SPEDAS)

被引：440

作者：

Angelopoulos, V. ^{[1
,2
]}

Cruce, P. ^{[1
,2
]}

Drozdov, A. ^{[1
,2
]}

Grimes, E. W. ^{[1
,2
]}

Hatzigeorgiu, N. ^{[3
]}

King, D. A. ^{[3
]}

Larson, D. ^{[3
]}

Lewis, J. W. ^{[3
]}

McTiernan, J. M. ^{[3
]}

Roberts, D. A. ^{[4
]}

Russell, C. L. ^{[1
,2
]}

Hori, T. ^{[5
]}

Kasahara, Y. ^{[6
]}

Kumamoto, A. ^{[7
]}

Matsuoka, A. ^{[8
]}

Miyashita, Y. ^{[9
]}

Miyoshi, Y. ^{[5
]}

Shinohara, I. ^{[8
]}

Teramoto, M. ^{[5
]}

Faden, J. B. ^{[10
]}

Halford, A. J. ^{[11
]}

McCarthy, M. ^{[12
]}

Millan, R. M. ^{[13
]}

Sample, J. G. ^{[14
]}

Smith, D. M. ^{[15
,16
]}

Woodger, L. A. ^{[13
]}

Masson, A. ^{[17
]}

Narock, A. A. ^{[18
]}

Asamura, K. ^{[8
]}

Chang, T. F. ^{[5
]}

Chiang, C. -Y. ^{[19
]}

Kazama, Y. ^{[20
]}

Keika, K. ^{[21
]}

Matsuda, S. ^{[5
]}

Segawa, T. ^{[5
]}

Seki, K. ^{[21
]}

Shoji, M. ^{[5
]}

Tam, S. W. Y. ^{[19
]}

Umemura, N. ^{[5
]}

Wang, B. -J. ^{[20
,22
]}

Wang, S. -Y. ^{[20
]}

Redmon, R. ^{[23
]}

Rodriguez, J. V. ^{[23
,24
]}

Singer, H. J. ^{[25
]}

Vandegriff, J. ^{[26
]}

Abe, S. ^{[27
]}

Nose, M. ^{[5
,28
]}

Shinbori, A. ^{[5
]}

Tanaka, Y. -M. ^{[29
]}

UeNo, S. ^{[30
]}

机构：

[1] Univ Calif Los Angeles, Dept Earth Planetary & Space Sci, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Inst Geophys & Planetary Phys, Los Angeles, CA 90024 USA

[3] Univ Calif Berkeley, Space Sci Lab, Berkeley, CA 94720 USA

[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA

[5] Nagoya Univ, Inst Space Earth Environm Res, Nagoya, Aichi, Japan

[6] Kanazawa Univ, Kanazawa, Ishikawa, Japan

[7] Tohoku Univ, Aoba Ku, 6-3 Aoba, Sendai, Miyagi 9808578, Japan

[8] Japan Aerosp Explorat Agcy, Inst Space & Astronaut Sci, Sagamihara, Kanagawa, Japan

[9] Korea Astron & Space Sci Inst, Daejeon, South Korea

[10] Cottage Syst, Iowa City, IA USA

[11] Aerosp Corp, Space Sci Dept, Chantilly, VA USA

[12] Univ Washington, Dept Earth & Space Sci, Seattle, WA 98195 USA

[13] Dartmouth Coll, Dept Phys & Astron, Hanover, NH 03755 USA

[14] Montana State Univ, Dept Phys, Bozeman, MT USA

[15] Univ Calif Santa Cruz, Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA

[16] Univ Calif Santa Cruz, Dept Phys, Santa Cruz, CA 95064 USA

[17] SCI OPD, ESAC, European Space Agcy, Madrid, Spain

[18] NASA, ADNET Syst Inc, Goddard Space Flight Ctr, Greenbelt, MD USA

[19] Natl Cheng Kung Univ, Inst Space & Plasma Sci, Tainan, Taiwan

[20] Acad Sinica, Inst Astron & Astrophys, Taipei, Taiwan

[21] Univ Tokyo, Grad Sch Sci, Dept Earth & Planetary Sci, Tokyo, Japan

[22] Natl Cent Univ, Grad Inst Space Sci, Taoyuan, Taiwan

[23] Natl Ocean & Atmospher Adm, Natl Ctr Environm Informat, Boulder, CO USA

[24] Univ Colorado, CIRES, Boulder, CO 80309 USA

[25] Natl Ocean & Atmospher Adm, Space Weather Predict Ctr, Boulder, CO USA

[26] Johns Hopkins Univ, Appl Phys Lab, Laurel, MD USA

[27] Kyushu Univ, Int Ctr Space Weather Sci & Educ, Fukuoka, Fukuoka, Japan

[28] Kyoto Univ, Kyoto Data Anal Ctr Geomagnetism & Space Magnetis, World Data Ctr Geomagnetism, Kyoto, Japan

[29] Natl Inst Polar Res, Tokyo, Japan

[30] Kyoto Univ, Hida Observ, Kyoto, Japan

[31] Univ Colorado, Lab Atmospher & Space Phys, Boulder, CO USA

[32] Univ Iowa, Dept Phys & Astron, Iowa City, IA 52242 USA

[33] Kyoto Univ, Dept Geophys, Kyoto, Japan

[34] Univ New Hampshire, Dept Phys, Durham, NH 03824 USA

[35] Univ New Hampshire, Ctr Space Sci, Durham, NH 03824 USA

[36] Southwest Res Inst, San Antonio, TX USA

[37] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA

[38] Univ Paris Sud, Sorbonne Univ, Observ Paris, Lab Phys Plasmas,CNRS,Ecole Polytech, Paris, France

[39] Boston Univ, Ctr Space Phys, Dept Mech Engn, Boston, MA 02215 USA

[40] Tech Univ Carolo Wilhelmina Braunschweig, Inst Geophys & Extraterr Phys, Braunschweig, Germany

[41] Univ Calgary, Calgary, ON, Canada

[42] Boston Univ, Ctr Space Phys, Boston, MA 02215 USA

[43] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA

[44] Karl Franzens Univ Graz, Inst Phys, Austrian Acad Sci, Space Res Inst, Graz, Austria

[45] Aerosp Corp, El Segundo, CA 90245 USA

[46] Univ Minnesota, Minneapolis, MN USA

来源：

SPACE SCIENCE REVIEWS | 2019年 / 215卷 / 01期

关键词：

Space plasmas; Magnetospheric physics; Planetary magnetospheres; Solarwind; Ionospheric physics; Geospace science; MISSION; SCIENCE; SUPERDARN;

D O I：

10.1007/s11214-018-0576-4

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

With the advent of the Heliophysics/Geospace System Observatory (H/GSO), acomplement of multi-spacecraft missions and ground-based observatories to study the space environment, data retrieval, analysis, and visualization of space physics data can be daunting. The Space Physics Environment Data Analysis System (SPEDAS), agrass-roots software development platform (www.spedas.org), is now officially supported by NASA Heliophysics as part of its data environment infrastructure. It serves more than a dozen space missions and ground observatories and can integrate the full complement of past and upcoming space physics missions with minimal resources, following clear, simple, and well-proven guidelines. Free, modular and configurable to the needs of individual missions, it works in both command-line (ideal for experienced users) and Graphical User Interface (GUI) mode (reducing the learning curve for first-time users). Both options have crib-sheets, user-command sequences in ASCII format that can facilitate record-and-repeat actions, especially for complex operations and plotting. Crib-sheets enhance scientific interactions, as users can move rapidly and accurately from exchanges of technical information on data processing to efficient discussions regarding data interpretation and science. SPEDAS can readily query and ingest all International Solar Terrestrial Physics (ISTP)-compatible products from the Space Physics Data Facility (SPDF), enabling access to a vast collection of historic and current mission data. The planned incorporation of Heliophysics Application Programmer's Interface (HAPI) standards will facilitate data ingestion from distributed datasets that adhere to these standards. Although SPEDAS is currently Interactive Data Language (IDL)-based (and interfaces to Java-based tools such as Autoplot), efforts are under-way to expand it further to work with python (first as an interface tool and potentially even receiving an under-the-hood replacement). We review the SPEDAS development history, goals, and current implementation. We explain its modes of use with examples geared for users and outline its technical implementation and requirements with software developers in mind. We also describe SPEDAS personnel and software management, interfaces with other organizations, resources and support structure available to the community, and future development plans.

引用

页数：46

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