Earth observation satellite data processing for GPM/DPR
JAXA Supercomputer System Annual Report April 2020-March 2021
Report Number: R20ER0200
Subject Category: Space Technology
- Responsible Representative: Takeshi Hirabayashi, Director, Satellite Applications and Operations Center (SAOC)
- Contact Information: GPM Mission Operation Officer(GPM-MOS@ml.jaxa.jp)
- Members: Toshiyuki Konishi, Takahiro Minami, Masaya Torii, Tadahiro Yamamoto, Sachiko Kawase, Hironari Ishihara, Hisashi Tanaka, Tomohiko Higashiuwatoko, Kazuhiro Sakamoto, Takeshi Masaki, Kyoichi Sakamoto, Osamu Motohashi, Tomoo Yamasaki, Makoto Imanaka, Yuya Hirose, Takuya Arakawa, Kenichi Kajiyama, Takanobu Aoki, Yoko Ueda, Mariko Dehara, Takashi Miyasaka
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.
It also implements a system for estimating the global precipitation distribution based on the data acquired from GPM core satellite and another constellation satellites. It is named “GSMaP” (Global Satellite Mapping of Precipitation).
In addition, accumulation of long-term data is important to understand long-term climate change on a global scale. It is important to be able to use the data of the TRMM satellite operated from 1997 to 2015 as well as the data of the GPM satellite.
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 JSS2 is advantageous in that it can relatively flexibly secure computer resources when we needed.
In this project, the total re-processing time is reduced by increasing the number of concurrently executing processes using MPI parallel processing called “workflow control”.
Achievements of the Year
In FY2020, we conducted latent heat reprocessing, which is a part of GPM processing, using the released version 6. The overview of GPM reprocessing is as follows.
period of observation : 2014/3/8 – 2020/06/30
CPU usage time : Approx. 475.5 hours
Number of output files : 74,125 files
Total output file capacity : 1.4 TB
In addition, we plan to upgrade GPM(DPR), TRMM(PR), and GSMaP processing algorithm in FY2021, we transferred input data for them to JSS3 in FY2020.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 2 – 10
- Elapsed Time per Case: 120.8 Second(s)
Resources Used(JSS2)
Fraction of Usage in Total Resources*1(%): 3.84
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 | 23,007,787.40 | 4.35 |
SORA-PP | 4,994.01 | 0.04 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 204.12 | 0.19 |
/data | 101,315.68 | 1.96 |
/ltmp | 33,612.37 | 2.86 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 26.10 | 0.86 |
*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.
Resources Used(JSS3)
Fraction of Usage in Total Resources*1(%): 0.11
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 0.00 | 0.00 |
TOKI-RURI | 13,694.57 | 0.08 |
TOKI-TRURI | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 341.00 | 0.23 |
/data | 128,163.87 | 2.15 |
/ssd | 1,837.41 | 0.96 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 26.10 | 0.86 |
*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 2020-March 2021