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

Taylor, Thomas E. and O'Dell, Christopher W. and Crisp, David and Kuze, Akihiko and Lindqvist, Hannakaisa and Wennberg, Paul O. and Chatterjee, Abhishek and Gunson, Michael and Eldering, Annmarie and Fisher, Brendan and Kiel, Matthäus and Nelson, Robert R. and Merrelli, Aronne and Osterman, Greg and Chevallier, Frederic and Palmer, Paul I. and Feng, Liang and Deutscher, Nicholas M. and Dubey, Manvendra K. and Feist, Dietrich G. and García, Omaira E. and Griffith, David W. T. and Hase, Frank and Iraci, Laura T. and Kivi, Rigel and Liu, Cheng and De Mazière, Martine and Morino, Isamu and Notholt, Justus and Oh, Young-Suk and Ohyama, Hirofumi and Pollard, David F. and Rettinger, Markus and Schneider, Matthias and Roehl, Coleen M. and Sha, Mahesh K. and Shiomi, Kei and Strong, Kimberly and Sussmann, Ralf and Té, Yao and Velazco, Voltaire A. and Vrekoussis, Mihalis and Warneke, Thorsten and Wunch, Debra (2022) An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm. Earth System Science Data, 14 (1), pp. 325-360. Copernicus Publications. doi: 10.5194/essd-14-325-2022. ISSN 1866-3508.

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Official URL: https://doi.org/10.5194/essd-14-325-2022


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 (<1 ×106 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 (1 sigma) 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.

Item URL in elib:https://elib.dlr.de/191250/
Document Type:Article
Title:An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Taylor, Thomas E.Colorado State University, Fort Collins, CO, USAhttps://orcid.org/0000-0002-1650-4882UNSPECIFIED
O'Dell, Christopher W.Colorado State University, Fort Collins, CO, USAUNSPECIFIEDUNSPECIFIED
Crisp, DavidJPL, Pasadena, CA, USAhttps://orcid.org/0000-0002-4573-9998UNSPECIFIED
Kuze, AkihikoJAXA, Tsukuba, Japanhttps://orcid.org/0000-0001-5415-3377UNSPECIFIED
Lindqvist, HannakaisaFMI, Helsinki, FinlandUNSPECIFIEDUNSPECIFIED
Wennberg, Paul O.California Institute of Technology, Pasadena, California, USAhttps://orcid.org/0000-0002-6126-3854UNSPECIFIED
Chatterjee, AbhishekUniversities Space Research Association, Columbia, MD, USAhttps://orcid.org/0000-0002-3680-0160UNSPECIFIED
Eldering, AnnmarieJPL, Pasadena, CA, USAhttps://orcid.org/0000-0003-1080-9922UNSPECIFIED
Kiel, MatthäusJPL, Pasadena, CA, USAhttps://orcid.org/0000-0002-9784-962XUNSPECIFIED
Nelson, Robert R.JPL, Pasadena, CA, USAhttps://orcid.org/0000-0002-3471-5683UNSPECIFIED
Merrelli, AronneUniversity of Wisconsin, Madison, WI , USAhttps://orcid.org/0000-0002-5138-8098UNSPECIFIED
Chevallier, FredericUniversité Paris-Saclay, Gif Sur Yvette, Francehttps://orcid.org/0000-0002-4327-3813UNSPECIFIED
Palmer, Paul I.University of Edinburgh, Edinburgh, Scotlandhttps://orcid.org/0000-0002-1487-0969UNSPECIFIED
Feng, LiangUniversity of Edinburgh, Edinburgh, ScotlandUNSPECIFIEDUNSPECIFIED
Deutscher, Nicholas M.University of Wollongong, Wollongong, NSW, Australiahttps://orcid.org/0000-0002-2906-2577UNSPECIFIED
Dubey, Manvendra K.Los Alamos National Laboratory, Los Alamos, New Mexico, UShttps://orcid.org/0000-0002-3492-790XUNSPECIFIED
Feist, Dietrich G.DLR, IPA und Univ. Münchenhttps://orcid.org/0000-0002-5890-6687UNSPECIFIED
García, Omaira E.IARC, (AEMET), Santa Cruz de Tenerife, Spainhttps://orcid.org/0000-0002-8395-6440UNSPECIFIED
Griffith, David W. T.University of Wollongong, Wollongong, NSW, Australiahttps://orcid.org/0000-0002-7986-1924UNSPECIFIED
Iraci, Laura T.NASA, Mountain View, CA, USAhttps://orcid.org/0000-0002-2859-5259UNSPECIFIED
Kivi, RigelFMI, Sodankylä, Finlandhttps://orcid.org/0000-0001-8828-2759UNSPECIFIED
Liu, ChengUniversity of Science and Technology of China, Hefei, Chinahttps://orcid.org/0000-0002-3759-9219UNSPECIFIED
Morino, IsamuNational Institute for Environmental Studies (NIES), Tsukuba, Japanhttps://orcid.org/0000-0003-2720-1569UNSPECIFIED
Notholt, JustusUniversity of Bremen, Bremen, GermanyUNSPECIFIEDUNSPECIFIED
Oh, Young-SukNational Institute of Meteorological Sciences 33, Seohobuk-ro, Seogwipo-si, Jeju-do 63568, Republic of Koreahttps://orcid.org/0000-0001-8010-1597UNSPECIFIED
Ohyama, HirofumiNIES, Tsukuba, Japanhttps://orcid.org/0000-0003-2109-9874UNSPECIFIED
Pollard, David F.National Institute of Water and Atmospheric Research, Lauder, New Zealandhttps://orcid.org/0000-0001-9923-2984UNSPECIFIED
Rettinger, MarkusKIT (IMK-IFU), Garmisch-Partenkirchen, GermanyUNSPECIFIEDUNSPECIFIED
Schneider, MatthiasKIT (IMK-ASF), Karlsruhe, Germanyhttps://orcid.org/0000-0001-8452-0035UNSPECIFIED
Roehl, Coleen M.California Institute of Technology, Pasadena, California, USAhttps://orcid.org/0000-0001-5383-8462UNSPECIFIED
Sha, Mahesh K.BIRA-IASB), 1180 Brussels, Belgiumhttps://orcid.org/0000-0003-1440-1529UNSPECIFIED
Shiomi, KeiJapan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0002-1206-8614UNSPECIFIED
Strong, KimberlyUniversity of Toronto, Toronto, Canadahttps://orcid.org/0000-0001-9947-1053UNSPECIFIED
Sussmann, RalfKIT, (IMK-IFU), Garmisch-Partenkirchen, GermanyUNSPECIFIEDUNSPECIFIED
Té, YaoObservatoire de Paris, PSL Université, Paris, Fhttps://orcid.org/0000-0001-6405-8074UNSPECIFIED
Velazco, Voltaire A.University of Wollongong, Wollongong, NSW, Australiahttps://orcid.org/0000-0002-1376-438XUNSPECIFIED
Vrekoussis, MihalisEnergy Environment and Water Research Center, Cyprus Institute, Nicosia, Cyprushttps://orcid.org/0000-0001-8292-8352UNSPECIFIED
Warneke, ThorstenUniversity of Bremen, Bremen, GermanyUNSPECIFIEDUNSPECIFIED
Wunch, DebraUniversity of Toronto, Toronto, Canadahttps://orcid.org/0000-0002-4924-0377UNSPECIFIED
Date:31 January 2022
Journal or Publication Title:Earth System Science Data
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 325-360
Publisher:Copernicus Publications
Keywords:Satellite, remote sensing, CO2, GOSAT, ACOS, long-term record
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Trace Species
Deposited By: Feist, Dr. Dietrich
Deposited On:01 Dec 2022 08:27
Last Modified:01 Dec 2022 08:27

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