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- Title
Update on the GOSAT TANSO-FTS SWIR Level 2 retrieval algorithm.
- Authors
Yu Someya; Yukio Yoshida; Hirofumi Ohyama; Shohei Nomura; Akihide Kamei; Isamu Morino; Hitoshi Mukai; Tsuneo Matsunaga; Laughner, Joshua L.; Velazco, Voltaire A.; Herkommer, Benedikt; Yao Té; Sha, Mahesh Kumar; Kivi, Rigel; Minqiang Zhou; Young Suk Oh; Deutscher, Nicholas M.; Griffith, David W. T.
- Abstract
The National Institute for Environmental Studies has provided the column-averaged dry-air mole fraction of carbon dioxide and methane (XCO2 and XCH4) products (L2 products) obtained from the Greenhouse gases Observing SATellite 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 O2 A, weak CO2, and CH4 bands of TANSO-FTS, although the residuals increase in the strong CO2 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 XCO2 and XCH4 over land. Further, the negative bias of XCO2 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 XCO2 growth rate compared with the in situ measurements over the ocean recently found using V02.90/91 and V02.95/96.
- Subjects
FOURIER transform spectrometers; SOLAR spectra; SPECTRAL irradiance; CIRRUS clouds; GAS absorption & adsorption; MAXIMUM power point trackers; ALGORITHMS
- Publication
Atmospheric Measurement Techniques Discussions, 2022, p1
- ISSN
1867-8610
- Publication type
Academic Journal
- DOI
10.5194/amt-2022-281