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Long-term orbital environment prediction by orbital debris evolutionary model

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EG3105

Subject Category: Research and Development

PDF available here

  • Responsible Representative: Hiroyuki Sugita, Research and Development Directorate, Research Unit II
  • Contact Information: Nobuaki Nagaoka(nagaoka.nobuaki@jaxa.jp)
  • Members: Satomi Kawamoto, Nobuaki Nagaoka, Yasuhiro Kitagawa, Toshiya Hanada, Shuji Abe

Abstract

Increase of space debris is a problem for reliability of future space activity. JAXA has researched space debris removal technology for space debris mitigation and environmental remediation. The guidelines for debris removal are researched based on the prediction of future orbital environment using the orbital debris evolutionary model(NEODEEM) jointly developed by JAXA and Kyushu University.

Reference URL

Please refer to 'Ensuring the safety of space missions now and in the future | JAXA|Research and Development Directorate'.

Reasons for using JSS2

NEODEEM predicts the situation of over 200 years orbital propagations of more than 20000 elements and orbital events by using Monte-Carlo method. Therefore, JSS2 is used to reduce run time and to process a large amount of data. Only SORA_PP is used for compatibility with PC version (WINDOWS).

Achievements of the Year

Study of some indices expected to be effective in reducing future orbit debris performed using NEODEEM, to evaluate the effect of active debris removal (ADR) . Figure 1. As a result, it was found that the orbital debris mitigation can be expected with about 5 ADRs per year if the appropriate PMD (Post Mission Deorbit) is carried out in future space mission.

In addition, it has been confirmed that even with future mega-constellation systems in which several thousand satellites will be in orbit, it is possible to suppress excessive debris increase by appropriate ADR. Figure 2

Annual Reoprt Figures for 2018

Fig.1: Debris Effective Number of Orbital Objects (With ADR rate)

 

Annual Reoprt Figures for 2018

Fig.2: ADR Effect after PMD Failure (Mega-consteration)

 

Publications

- Non peer-reviewed papers

1)S. Kawamoto, M. Higashide, S. Abe, T. Hanada, "Consideration on active debris removal target", 5th European workshop on Space Debris Modeling and Remediation

2)N. Nagaoka, S. Kawamoto, T. Hanada, S. Abe, "Comparison of the mitigation effect of space debris by some removal indexes for orbital objects", 8th Space Debris Workshop

Usage of JSS2

Computational Information

  • Process Parallelization Methods: Assigning Monte-Carlo runs with same initial conditions to multiple cores
  • Thread Parallelization Methods: N/A
  • Number of Processes: 10
  • Elapsed Time per Case: 60 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.30

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 0.00 0.00
SORA-PP 498,729.46 3.99
SORA-LM 0.57 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 19.07 0.02
/data 190.73 0.00
/ltmp 3,906.25 0.33

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.11 0.00

*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

JAXA Supercomputer System Annual Report April 2018-March 2019


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Language / 言語

"Annual Report" available

How to use JSS3

To use JSS3, please refer to "How to use JSS3" page .

Location

Chofu Aerospace Center
7-44-1 Jindaiji Higashi-machi, Chofu-shi, Tokyo