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

Abstract 2 and XCH4) 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 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. However, 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.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm ; volume:16 ; number:6 ; year:2023 ; pages:1477-1501 ; extent:25
Atmospheric measurement techniques ; 16, Heft 6 (2023), 1477-1501 (gesamt 25)

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

DOI
10.5194/amt-16-1477-2023
URN
urn:nbn:de:101:1-2023033005284859278661
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:56 MESZ

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