Retrieval of greenhouse gas concentrations from GOSAT-2 observations
JAXA Supercomputer System Annual Report February 2022-January 2023
Report Number: R22ER3501
Subject Category: Space Technology
- Responsible Representative: KUZE Akihiko, GOSAT-2 Project Team, Space Technology Directorate I
- Contact Information: Nobuhiro Kikuchi (Earth Observation Research Center)(kikuchi.nobuhiro@jaxa.jp)
- Members: Makiko Hashimoto, Kenji Kowata, Fumie Kataoka, Nobuhiro Kikuchi, Hideyuki Noguchi, Kei Shiomi, Hiroshi Suto, Atsushi Sugano, Shigeaki Wada, Takehito Yoshida
Abstract
Atmospheric concentrations of carbon dioxide, methane and carbon monoxide are retrieved from hyper spectral data measured by The Greenhouse Gases Observing Satellite 2 (GOSAT-2). Development, validation and improvement of the retrieval algorithm are also carried out.
Reference URL
Please refer to https://www.eorc.jaxa.jp/earthview/2020/tp200203.html .
Reasons and benefits of using JAXA Supercomputer System
The JAXA supercomputer system is used to retrieved greenhouse gas concentrations from measurement data of the GOSAT-2 satellite. About 100 hours of CPU time is needed to process 1day measurement data. It takes about 1 hour to process 1 day measurement data, using 10 nodes of the PrePost system computers with 12 cores.
Achievements of the Year
We are developing the JAXA/EORC research algorithm (Level 2 algorithm) for GOSAT and GOSAT-2 which derives from the Level 1 data the atmospheric concentrations of carbon dioxide and methane. The simultaneous use of both shortwave infrared (SWIR) and thermal infrared (TIR) spectra is one of the characteristics of our algorithm, which enables us to retrieve not only the column averaged concentrations, but also the vertical profiles with up to two layers in the troposphere for carbon dioxide and methane. We also utilize the polarization information in the SWIR to correct the undesirable effects of aerosols on the accurate retrievals the greenhouse gas concentrations. Our goal is to improve the estimate of the emission/absorbing fluxes of the greenhouse gases by fully utilizing the GOSAT/GOSAT-2 measurements.
In this year we worked on improving the algorithm concerning the sensor characteristics. Specifically, by optimizing the instrument line shape function we could improve considerably the precision of the retrieved greenhouse gas concentrations.
With the improved level 2 algorithm, we processed GOSAT-2 level 1 data version 210210 on JSS3, producing four year data set of the atmospheric concentrations of carbon dioxide and methane. These data are to be released as the JAXA/EORC research product (version 3). A quality check is underway to remove outliers due to cloud contamination.
Figure 1 shows the monthly mean of the column averaged concentrations of carbon dioxide (XCO2) in July 2020 (left) together with the lower tropospheric concentrations of carbon dioxide (right). The global distribution of the lower tropospheric concentrations was improved compared with that retrieved with the older algorithm, in which the lower tropospheric concentrations are too high over the ocean in the Southern Hemisphere. Figure 2 shows that both the column average (XCH4) and the lower tropospheric concentrations of methane are retrieved successfully.
We verified the accuracy of XCO2 and XCH4 by comparing with the TCCON (Total Carbon Column Observing Network) data. Figure 3 (left) is the result of the validation of XCO2. We selected 14 TCCON sites for which there are at least 8 match up data with the GOSAT-2 observations. The bias of the XCO2 is -0.1 ppm in total, with the standard deviation of 1.8 ppm. The mean bias over the 14 TCCON sites was 0.0 ppm, with the standard deviation of 0.6 ppm. These results are a significant improvement over the previous ones.
Similarly, the accuracy of the retrieved XCH4 was improved as shown in Figure 3 (right).

Fig.1: (left) Monthly mean of the column averaged concentrations of carbon dioxide in July 2020 retrieved from GOSAT-2 observations. (right) Similar to left, but for the lower tropospheric concentrations of carbon dioxide.

Fig.2: (left) Monthly mean of the column averaged concentrations of methane in July 2020 retrieved from GOSAT-2 observations. (right) Similar to left, but for the lower tropospheric concentrations of methane.

Fig.3: (left) Comparison of the column averaged concentrations of carbon dioxide retrieved from GOSAT-2 observations with TCCON data. (right) Similar to left, but for the column averaged concentrations of methane.
Publications
– Web
https://www.eorc.jaxa.jp/GOSAT/GPCG/index_GOSAT2.html
Usage of JSS
Computational Information
- Process Parallelization Methods: N/A
- Thread Parallelization Methods: OpenMP
- Number of Processes: 1
- Elapsed Time per Case: 10 Hour(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 | 572422.11 | 0.57 |
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 | 34.27 | 0.03 |
/data and /data2 | 102742.62 | 0.79 |
/ssd | 342.62 | 0.05 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 221.57 | 0.98 |
*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 2022-January 2023