Greenhouse gases Observing SATellite-2 (GOSAT-2) Project
JAXA Supercomputer System Annual Report April 2019-March 2020
Report Number: R19ER3500
Subject Category: Space Technology
- Responsible Representative: KUZE Akihiko, GOSAT-2 Project Team, Space Technology Directorate I
- Contact Information: Shin Ishida(ishida.shin@jaxa.jp)
- Members: Yoko Ueda, Tomoo Yamasaki, Yuki Kobayashi, Taro Makino, Shin Ishida, Junichi Takaku, Kenji Kowata, Takehito Yoshida, Fumie Kataoka, Makiko Hashimoto, Hideyuki Noguchi, Hideki Suetake, Tomoyuki Mabuchi, Nobuhiro Kikuchi
Abstract
GOSAT-2 project retrieve and estimate the global concentration distribution of major greenhouse gases including the sources and natural absorbers with high level of accuracy to contribute to environmental administration as follows.
– Improved precision of climate change predictions
– Early detection of changes in the Earth system
– Better understanding of emission reduction level of the anthropogenic greenhouse gases and changing natural sink
– Contribution to air pollution monitoring policies
Also, GOSAT-2 project researches and develops new earth observation technologies required for future earth observing satellites.
Reference URL
Please refer to ‘JAXA | Greenhouse gases Observing SATellite-2 "IBUKI-2" (GOSAT-2)‘.
Reasons and benefits of using JAXA Supercomputer System
GOSAT-2 project utilizes JSS2 as one of the GOSAT-2 Mission Operation System which processes the observation data of GOSAT-2. When processing algorithm is updated, JSS2 reprocesses all data observed in the past. Also, JSS2 is used as a remote storage of all data required for its reprocessing.
As the reprocessing targets of GOSAT-2 products extends to all data observed in the past, more computer resources (core, memory, storage, etc.) are required than in the real-time processing.
It is necessary to use JSS2 to shorten the reprocessing time and to provide the reprocessing products to GOSAT-2 users in a more timely manner.
Achievements of the Year
We have been transmitting L0 data from the GOSAT-2 Mission Operation System to JSS2 in preparation for reprocessing of L1 products on JSS2 since observation by TANSO FTS-2 and TANSO-CAI-2 started.
In FY2019, we have updated the L1 processing algorithm for TANSO-FTS-2 and TANSO-CAI-2 three times and reprocessed the past observation data on JSS2 each time.
The version-up history of GOSAT-2 TANSO-FTS-2 1B product is shown below.
– Version 002.004 : Apr.2019 Preparation for initial calibration version (L+6M)
– Version 100.100 : Jul.2019 After initial calibration version (L+9M) (Release to general users)
– Version 101.101 : Apr.2019 Bug fix
The version-up history of GOSAT-2 TANSO-CAI-2 1A product is shown below.
– Version 000.001 : Apr.2019 Preparation for initial calibration version (L+6M)
– Version 100.100 : Jul.2019 After initial calibration version (L+9M) (Release to general users)
– Version 101.101 : Apr.2019 Bug fix
The FTS-2 L1B and CAI-2 L1B product has been available to general users from “GOSAT-2 Product Archive” (https://prdct.gosat-2.nies.go.jp/en/index.html) since July 2019.
Publications
N/A
Usage of JSS2
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 5 Minute(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.05
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
SORA-MA | 0.00 | 0.00 |
SORA-PP | 14,958.23 | 0.10 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 148.93 | 0.12 |
/data | 129,931.83 | 2.22 |
/ltmp | 30,501.32 | 2.59 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 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 2019-March 2020