An 11-year record of XCO 2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
In: ISSN: 1866-3508 ; Earth System Science Data ; https://hal-insu.archives-ouvertes.fr/insu-03717138 ; Earth System Science Data, 2022, 14, pp.325-360. ⟨10.5194/essd-14-325-2022⟩, 2022
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International audience ; The Thermal And Near infrared Sensor for carbon Observation - Fourier Transform Spectrometer (TANSO-FTS) on the Japanese Greenhouse gases Observing SATellite (GOSAT) has been returning data since April 2009. The version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 Full Physics (L2FP) retrieval algorithm (Kiel et al., 2019) was used to derive estimates of carbon dioxide (CO 2 ) dry air mole fraction (XCO 2 ) from the TANSO-FTS measurements collected over its first 11 years of operation. The bias correction and quality filtering of the L2FP XCO 2 product were evaluated using estimates derived from the Total Carbon Column Observing Network (TCCON) as well as values simulated from a suite of global atmospheric inversion systems (models) which do not assimilate satellite-derived CO 2 . In addition, the v9 ACOS GOSAT XCO 2 results were compared with collocated XCO 2 estimates derived from NASA's Orbiting Carbon Observatory-2 (OCO-2), using the version 10 (v10) ACOS L2FP algorithm. These tests indicate that the v9 ACOS GOSAT XCO 2 product has improved throughput, scatter, and bias, when compared to the earlier v7.3 ACOS GOSAT product, which extended through mid 2016. Of the 37 million soundings collected by GOSAT through June 2020, approximately 20 % were selected for processing by the v9 L2FP algorithm after screening for clouds and other artifacts. After post-processing, 5.4 % of the soundings (2×10 6 out of 37×10 6 ) were assigned a "good" XCO 2 quality flag, as compared to 3.9 % in v7.3 (<1 ×10 6 out of 24×10 6 ). After quality filtering and bias correction, the differences in XCO 2 between ACOS GOSAT v9 and both TCCON and models have a scatter (1σ) of approximately 1 ppm for ocean-glint observations and 1 to 1.5 ppm for land observations. Global mean biases against TCCON and models are less than approximately 0.2 ppm. Seasonal mean biases relative to the v10 OCO-2 XCO 2 product are of the order of 0.1 ppm for observations over land. However, for ocean-glint .
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An 11-year record of XCO 2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
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Autor/in / Beteiligte Person: | Taylor, Thomas E. ; O'Dell, Christopher W. ; Crisp, David ; Kuze, Akhiko ; Lindqvist, Hannakaisa ; Wennberg, Paul O. ; Chatterjee, Abhishek ; Gunson, Michael ; Eldering, Annmarie ; Fisher, Brendan ; Kiel, Matthäus ; Nelson, Robert R. ; Merrelli, Aronne ; Osterman, Greg ; Chevallier, Frédéric ; Palmer, Paul I. ; Feng, Liang ; Deutscher, Nicholas M. ; Dubey, Manvendra K. ; Feist, Dietrich G. ; García, Omaira E. ; Griffith, David W. T. ; Hase, Frank ; Iraci, Laura T. ; Kivi, Rigel ; Liu, Cheng ; de Mazière, Martine ; Morino, Isamu ; Notholt, Justus ; Oh, Young-Suk ; Ohyama, Hirofumi ; Pollard, David F. ; Rettinger, Markus ; Schneider, Matthias ; Roehl, Coleen M. ; Sha, Mahesh Kumar ; Shiomi, Kei ; Strong, Kimberly ; Sussmann, Ralf ; Té, Yao ; Velazco, Voltaire A. ; Vrekoussis, Mihalis ; Warneke, Thorsten ; Wunch, Debra ; Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) ; Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres (LERMA) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris ; Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY) |
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Zeitschrift: | ISSN: 1866-3508 ; Earth System Science Data ; https://hal-insu.archives-ouvertes.fr/insu-03717138 ; Earth System Science Data, 2022, 14, pp.325-360. ⟨10.5194/essd-14-325-2022⟩, 2022 |
Veröffentlichung: | HAL CCSD ; Copernicus Publications, 2022 |
Medientyp: | academicJournal |
ISSN: | 1866-3508 |
DOI: | 10.5194/essd-14-325-2022 |
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