JAXA Supercomputer System Annual Report (April 2018-March 2019)

Long-term orbital environment prediction by orbital debris evolutionary model
Report Number: R18EG3105
Subject Category: Research and Development
URL: https://www.jss.jaxa.jp/en/ar/e2018/9136/
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.
Ref. URL: http://www.kenkai.jaxa.jp/eng/research/debris/debris.html
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 ofdata. 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, toevaluate 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 carriedout 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 2－257－

This document is provided by JAXA.

JAXA Special Publication JAXA-SP-19-003E

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

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”, 5thEuropean 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 someremoval indexes for orbital objects”, 8th Space Debris Workshop－258－

This document is provided by JAXA.

JAXA Supercomputer System Annual Report (April 2018-March 2019)

Usage of JSS2


Computational Information
Assigning Monte-Carlo runs with same initial

Process Parallelization Methods

conditions to multiple cores

Thread Parallelization Methods

N/A

Number of Processes

10Elapsed Time per Case

60 Hour (s)Resources Used
Fraction of Usage in Total Resources*1 (%): 0.30
Details
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)

J-SPACE

Fraction of Usage*2 (%)
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.

－259－

This document is provided by JAXA.