Earth observation satellite data processing for GPM/DPR
JAXA Supercomputer System Annual Report February 2023-January 2024
Report Number: R23ER0200
Subject Category: Space Technology
- Responsible Representative: Tomomi Nio, Duputy Director for Mission Operations Systems, Satellite Applications and Operations Center (SAOC)
- Contact Information: GPM Mission Operation Operator(GPM-MOS@ml.jaxa.jp)
- Members: Masanori Toyoda, Tomohiko Higashiuwatoko, Kazuhiro Sakamoto, Takeshi Masaki, Toshiyuki Konishi, Hisashi Tanaka, Yuuichi Asechi, Kaito Sugiyama, Takashi Maruyama, Kouta Ashizawa, Yuuichirou Kitayama, Tadahiro Yamamoto, Yukie Nakagawa, Kenichi Kajiyama, Hiroshi Mori
Abstract
In recent years, worldwide interest has been increasing about the necessity of grasping the global environmental change. To deal with such problems, various approaches using observation technology from space have been carried out by satellites.
Global Precipitation Measurement (GPM) mission, as follow-on and expansion of Tropical Rainfall Measurement Mission (TRMM) satellite, is an international mission to achieve highly accurate and frequent global rainfall observation. it is carried with multiple satellite, GPM core satellite with Dual-frequency Precipitation Radar (DPR) jointly developed by JAXA and NICT, and with GPM Microwave Imager (GMI) developed by NASA, and another constellation satellites with Microwave Imager. In addition, GSMaP (Global Satellite Mapping of Precipitation), which estimates global precipitation distribution based on data acquired by these GPM core satellites and constellation satellites, is available.
Long-term data accumulation is important to understand global environmental changes, and it is necessary to ensure continuity of data from the TRMM, which operated from 1997 to 2015, the GPM, which is currently in operation.
Reference URL
Please refer to ‘JAXA | Global Precipitation Measurement/Dual-frequency Precipitation Radar (GPM/DPR)‘.
Reasons and benefits of using JAXA Supercomputer System
Processing of earth observation data includes “operational processing” performed routinely and “re-processing” performed once a year or so for several year data. The purpose of re-processing is to correspond with version-up of computing model and algorithm performed periodically. The amount of observation data grows year by year. Then, we need more and more time to complete reprocessing of all archived observation data. By using supercomputers, the calculation time is greatly shortened, and it is possible to provide products quickly to users.
In addition, the frequency of re-processing is about once every one to two years, so the necessary period of computer resource for re-processing is limited. If this computer resource is prepared on ourselves, it is inefficient in terms of the computer utilization. The use of JSS3 is advantageous in that it can relatively flexibly secure computer resources when we needed.
In this project, “workflow control” is used to increase the number of parallel processes, reducing the total reprocessing time.
Achievements of the Year
In FY2023, reprocessing of GSMaP was performed in response to the major version upgrade (V05) in December 2021. The overview of GSMaP reprocessing is as follows.
period of observation : 1998/01/01 – 2021/11/30
CPU usage time : Approx. 97,402.6 hours
Number of output files : 44,089 files
Total output file capacity 97.1 TB
In FY2024, no reprocessing is planned because all major version upgraded products have been reprocessed. The next major version upgrade is planned for January 2026, with reprocessing planned after the major version upgrade.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: N/A
- Number of Processes: 1
- Elapsed Time per Case: 81.4 Minute(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.07
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 0.00 | 0.00 |
TOKI-ST | 547255.70 | 0.59 |
TOKI-GP | 0.00 | 0.00 |
TOKI-XM | 0.00 | 0.00 |
TOKI-LM | 0.00 | 0.00 |
TOKI-TST | 0.00 | 0.00 |
TOKI-TGP | 0.00 | 0.00 |
TOKI-TLM | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 118.25 | 0.10 |
/data and /data2 | 438813.33 | 2.71 |
/ssd | 400.00 | 0.04 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 79.65 | 0.29 |
*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.
ISV Software Licenses Used
ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
---|---|---|
ISV Software Licenses(Total) | 0.00 | 0.00 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2023-January 2024