Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm.

Someya, Yu; Yoshida, Yukio; Ohyama, Hirofumi; Nomura, Shohei; Kamei, Akihide; Morino, Isamu; Mukai, Hitoshi; Matsunaga, Tsuneo; Laughner, Joshua L.; Velazco, Voltaire A.; Herkommer, Benedikt; Té, Yao; Sha, Mahesh Kumar; Kivi, Rigel; Zhou, Minqiang; Oh, Young Suk; Deutscher, Nicholas M.; Griffith, David W. T.

The National Institute for Environmental Studies has provided the column-averaged dry-air mole fraction of carbon dioxide and methane (XCO 2 and XCH 4) products (L2 products) obtained from the Greenhouse gases Observing SATellite (GOSAT) for more than a decade. Recently, we updated the retrieval algorithm used to produce the new L2 product, V03.00. The main changes from the previous version (V02) of the retrieval algorithm are the treatment of cirrus clouds, the degradation model of the Thermal And Near-infrared Spectrometer for carbon Observation–Fourier Transform Spectrometer (TANSO–FTS), solar irradiance spectra, and gas absorption coefficient tables. The retrieval results from the updated algorithm showed improvements in fitting accuracies in the O 2 A, weak CO 2 , and CH 4 bands of TANSO–FTS, although the residuals increase in the strong CO 2 band over the ocean. The direct comparison of the new product obtained from the updated (V03) algorithm with the previous version V02.90/91 and the validations using the Total Carbon Column Observing Network revealed that the V03 algorithm increases the amount of data without diminishing the data qualities of XCO 2 and XCH 4 over land. However, the negative bias of XCO 2 is larger than that of the previous version over the ocean, and bias correction is still necessary. Additionally, the V03 algorithm resolves the underestimation of the XCO 2 growth rate compared with the in situ measurements over the ocean recently found using V02.90/91 and V02.95/96.

SOLAR spectra; CIRRUS clouds; GAS absorption & adsorption; ALGORITHMS; ABSORPTION coefficients; SPECTRAL irradiance; MAXIMUM power point trackers

Atmospheric Measurement Techniques, 2023, Vol 16, Issue 6, p1477

1867-1381

Academic Journal

10.5194/amt-16-1477-2023