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An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm

Authors :
Taylor, Thomas E.
O'Dell, Christopher W.
Crisp, David
Kuze, Akihiko
Lindqvist, Hannakaisa
Wennberg, Paul O.
Chatterjee, Abhishek
Gunson, Michael
Eldering, Annmarie
Fisher, Brendan
Kiel, Matthäus
Nelson, Robert R.
Merrelli, Aronne
Osterman, Greg
Chevallier, Frederic
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 K.
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)
Source :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET), Earth System Science Data, Earth System Science Data, 2022, 14, pp.325-360. ⟨10.5194/essd-14-325-2022⟩
Publication Year :
2022
Publisher :
Copernicus Publications, 2022.

Abstract

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 (CO2) dry air mole fraction (XCO2) from the TANSO-FTS measurements collected over its first 11 years of operation. The bias correction and quality filtering of the L2FP XCO2 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 CO2. In addition, the v9 ACOS GOSAT XCO2 results were compared with collocated XCO2 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 XCO2 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 (2×106 out of 37×106) were assigned a "good" XCO2 quality flag, as compared to 3.9 % in v7.3 (6 out of 24×106). After quality filtering and bias correction, the differences in XCO2 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 XCO2 product are of the order of 0.1 ppm for observations over land. However, for ocean-glint observations, seasonal mean biases relative to OCO-2 range from 0.2 to 0.6 ppm, with substantial variation in time and latitude. The ACOS GOSAT v9 XCO2 data are available on the NASA Goddard Earth Science Data and Information Services Center (GES-DISC) in both the per-orbit full format (https://doi.org/10.5067/OSGTIL9OV0PN, OCO-2 Science Team et al., 2019b) and in the per-day lite format (https://doi.org/10.5067/VWSABTO7ZII4, OCO-2 Science Team et al., 2019a). In addition, a new set of monthly super-lite files, containing only the most essential variables for each satellite observation, has been generated to provide entry level users with a light-weight satellite product for initial exploration (CaltechDATA, https://doi.org/10.22002/D1.2178, Eldering, 2021). The v9 ACOS Data User's Guide (DUG) describes best-use practices for the GOSAT data (O'Dell et al., 2020). The GOSAT v9 data set should be especially useful for studies of carbon cycle phenomena that span a full decade or more and may serve as a useful complement to the shorter OCO-2 v10 data set, which begins in September 2014.

Details

ISSN :
18663508
Database :
OpenAIRE
Journal :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET), Earth System Science Data, Earth System Science Data, 2022, 14, pp.325-360. ⟨10.5194/essd-14-325-2022⟩
Accession number :
edsair.dedup.wf.001..b4b507e471820dfc3e95d475f5c8eb7d
Full Text :
https://doi.org/10.5194/essd-14-325-2022⟩