Utilization of JSS2 for AMSR-E higher level data processing
JAXA Supercomputer System Annual Report April 2018-March 2019
Report Number: R18ER1501
Subject Category: Space Technology
- Responsible Representative: Ichiro Naito, Derector of The Satellite Applications and Operation Center
- Contact Information: Kazuaki Nonaka(nonaka.kazuaki@jaxa.jp)
- Members: Kazuyoshi Nakamura, Yuji Taniguchi
Abstract
AMSR-E*1, AMSR2*2 estimates various geophysical parameters by measuring radio waves in the weak microwave band radiated from the Earth's surface and the atmosphere with multiple frequencies and multiple polarizations.
Geophysical parameters include water vapor, cloud liquid water, precipitation, sea surface temperature, sea surface wind speed, sea ice concentration, snow water equivalent, and soil moisture.
The long-term geophysical record will play an important role in climate change monitoring and will provide valuable information for understanding the Earth's climate system, including water and energy circulation.
We will reprocess and provide AMSR-E high level product and AMSR2 high level product with the same algorithm (including improved algorithms), and provide a long-term data set useful for users.
*1 : Advanced Microwave Scanning Radiometer for EOS equipped in Earth Observation Satellite 'Aqua'
*2 : The Advanced Microwave Scanning Radiometer 2 equipped in Global Change Observation Mission - Water "SHIZUKU" (GCOM-W)
Reference URL
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Reasons for using JSS2
By using JSS2 with a large scalability processing environment and executing processing of enormous scenes in parallel, it becomes possible to provide products to users more quickly.
Achievements of the Year
In this fiscal year, the improvement result of the algorithm shown in Table 1 was reflected in the reprocessing environment. We also conducted reprocessing of L2*3 and L3*4 products during the observation period.
AMSR-E reprocessed products will be released sequentially from the data provision system (G-Portal) from the begin of the next fiscal year.
*3 : Product storing information on geophysical quantity which calculated through the physical quantity estimation algorithm. And the product is stored the position information of the data and the information on the quality.
Note that map projection of the geophysical quantity is not performed.
*4 : Product mapped with time and spatial average values of geophysical quantities. The product is stored the daily average and monthly average global distribution of the brightness temperature and each physical quantity.
Fig.1: Reprocessing Product List
Publications
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Usage of JSS2
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: N/A
- Number of Processes: 1
- Elapsed Time per Case: 3 Second(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.08
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 | 6,891.46 | 0.06 |
| SORA-LM | 0.00 | 0.00 |
| SORA-TPP | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 112.05 | 0.12 |
| /data | 108,052.30 | 1.91 |
| /ltmp | 10,421.32 | 0.89 |
| 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 2018-March 2019