Published January 31, 2022 | Version Published
Journal Article Open

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

  • 1. ROR icon Colorado State University
  • 2. ROR icon Jet Propulsion Lab
  • 3. ROR icon Japan Aerospace Exploration Agency
  • 4. ROR icon Finnish Meteorological Institute
  • 5. ROR icon California Institute of Technology
  • 6. ROR icon Universities Space Research Association
  • 7. ROR icon Goddard Space Flight Center
  • 8. ROR icon University of Wisconsin–Madison
  • 9. ROR icon Laboratoire des Sciences du Climat et de l'Environnement
  • 10. ROR icon University of Edinburgh
  • 11. ROR icon University of Wollongong
  • 12. ROR icon Los Alamos National Laboratory
  • 13. ROR icon Max Planck Institute for Biogeochemistry
  • 14. ROR icon Ludwig-Maximilians-Universität München
  • 15. ROR icon German Aerospace Center
  • 16. ROR icon Agencia Estatal de Meteorología
  • 17. ROR icon Karlsruhe Institute of Technology
  • 18. ROR icon Ames Research Center
  • 19. ROR icon University of Science and Technology of China
  • 20. ROR icon Royal Belgian Institute for Space Aeronomy
  • 21. ROR icon National Institute for Environmental Studies
  • 22. ROR icon University of Bremen
  • 23. ROR icon National Institute of Meteorological Sciences
  • 24. ROR icon National Institute of Water and Atmospheric Research
  • 25. ROR icon University of Toronto
  • 26. Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA-IPSL), Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, Paris, France
  • 27. ROR icon German Meteorological Service
  • 28. ROR icon Cyprus Institute

Abstract

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 (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/OSGTIL9OV0PNOCO-2 Science Team et al.2019b) and in the per-day lite format (https://doi.org/10.5067/VWSABTO7ZII4OCO-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/D1.2178Eldering2021). 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.

Copyright and License

© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Published by Copernicus Publications.

Acknowledgement

Thomas E. Taylor acknowledges assistance from Peter Somkuti and Heather Cronk at CSU/CIRA with Python map plotting. CarbonTracker results were provided by NOAA ESRL, Boulder, Colorado, USA, from the website at http://carbontracker.noaa.gov (last access: 17 January 2022). The GEOS data used in this study were provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center.

Funding

The CSU contribution to this work was supported by JPL subcontract 1439002. Hannakaisa Lindqvist is supported by the Academy of Finland (project 331829). Aronne Merrelli's contributions to this work were supported by JPL subcontract 1577173. Paul I. Palmer and Liang Feng were supported by the UK National Centre for Earth Observation funded the National Environment Research Council (NE/R016518/1). The TCCON stations at Rikubetsu, Tsukuba, and Burgos are supported in part by the GOSAT series project. Local support for Burgos is provided by the Energy Development Corporation (EDC, Philippines). The TCCON site at Réunion has been operated by the Royal Belgian Institute for Space Aeronomy with financial support since 2014 by the EU project ICOS-Inwire and the ministerial decree for ICOS (FR/35/IC1 to FR/35/C6) and local activities supported by LACy/UMR8105 and by OSU-R/UMS3365 – Université de La Réunion. The TCCON stations at Garmisch and Zugspitze have been supported by the European Space Agency (ESA) under grant 4000120088/17/I-EF and by the German Bundesministerium für Wirtschaft und Energie (BMWi) via the DLR under grant 50EE1711D as well as by the Helmholtz Society via the research program ATMO. The observations in Bremen are supported by the German Bundesministerium für Wirtschaft und Energie (BMWi) via the DLR under grant 50EE1711B. The Paris TCCON site has received funding from Sorbonne Université, the French research center CNRS, the French space agency CNES, and Région Île-de-France. The Ascension Island TCCON station has been supported by the European Space Agency (ESA) under grant 4000120088/17/I-EF and by the German Bundesministerium für Wirtschaft und Energie (BMWi) under grants 50EE1711C and 50EE1711E. We thank the ESA Ariane Tracking Station at North East Bay, Ascension Island, for hosting and local support. The Anmyeondo TCCON station was funded by the Korea Meteorological Administration Research and Development Program “Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea” under grant no. KMA 2018-00522. Nicholas M. Deutscher is supported by an Australian Research Council (ARC) Future Fellowship, FT180100327. The Darwin and Wollongong TCCON sites have been supported by a series of ARC grants, including DP160100598, DP140100552, DP110103118, DP0879468 and LE0668470, and NASA grants NAG5-12247 and NNG05-GD07G. The Eureka measurements were made at the Polar Environment Atmospheric Research Laboratory (PEARL) by the Canadian Network for the Detection of Atmospheric Change (CANDAC), primarily supported by the Natural Sciences and Engineering Research Council of Canada, Environment and Climate Change Canada, and the Canadian Space Agency. Manvendra K. Dubey thanks the LANL LDRD program for support operating the Four Corners TCCON site. The TCCON Nicosia site has received additional support from the European Union's Horizon 2020 research and innovation program under grant agreement no. 856612 and the Cyprus Government, and by the University of Bremen. The Anmyeondo TCCON station is funded by the Korea Meteorological Administration Research and Development Program “Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea” under grant no. KMA 2018-00522.

Data Availability

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 (OCO-2 Science Team et al.2019bhttps://doi.org/10.5067/OSGTIL9OV0PN) and in the per-day lite format (OCO-2 Science Team et al.2019ahttps://doi.org/10.5067/VWSABTO7ZII4). The monthly super-lite files, containing only the most essential variables for each satellite observation, are available at CaltechDATA (https://doi.org/10.22002/D1.2178Eldering2021). The OCO-2 v10 L2Lite files containing the bias-corrected and quality-filtered XCO2 data are also available on the GES-DISC (OCO-2 Science Team et al.2020https://doi.org/10.5067/E4E140XDMPO2). The TCCON data for individual stations are available on the CaltechDATA site (see citations listed in Table 8). The CarbonTracker data are available on the NOAA GML site (https://carbontracker.noaa.govCarbonTracker2021). The CarboScope model data are available at http://www.bgc-jena.mpg.de/CarboScope (CarboScope2021). The CAMS model data are available at https://atmosphere.copernicus.eu/data (CAMS2021). The UoL model data are available at https://www.geos.ed.ac.uk/~lfeng/ (UoE2021).

Additional Information

This paper was edited by David Carlson and reviewed by two anonymous referees.

Files

essd-14-325-2022.pdf

Files (17.8 MB)

Name Size Download all
md5:02b5c79d0d13ac09e8b2edf45d5dd98f
17.8 MB Preview Download

Additional details

Related works

Is new version of
Discussion Paper: 10.5194/essd-2021-247 (DOI)
Is supplemented by
Dataset: 10.5067/OSGTIL9OV0PN (DOI)
Dataset: 10.5067/VWSABTO7ZII4 (DOI)
Dataset: 10.22002/D1.2178 (DOI)
Dataset: 10.5067/E4E140XDMPO2 (DOI)

Funding

Jet Propulsion Laboratory
1439002
Research Council of Finland
331829
Jet Propulsion Laboratory
1577173
National Centre for Earth Observation
NE/R016518/1
University of Reunion Island
LACy/UMR8105
University of Reunion Island
OSU-R/UMS3365
European Space Agency
4000120088/17/I-EF
Federal Ministry for Economic Affairs and Climate Action
50EE1711D
Federal Ministry for Economic Affairs and Climate Action
50EE1711B
Federal Ministry for Economic Affairs and Climate Action
50EE1711C
Federal Ministry for Economic Affairs and Climate Action
50EE1711E
Korea Meteorological Administration
KMA 2018-00522
Australian Research Council
FT180100327
Australian Research Council
DP160100598
Australian Research Council
DP140100552
Australian Research Council
DP110103118
Australian Research Council
DP0879468
Australian Research Council
LE0668470
National Aeronautics and Space Administration
NAG5-12247
National Aeronautics and Space Administration
NNG05-GD07G
European Union
856612

Dates

Accepted
2021-11-25

Caltech Custom Metadata

Caltech groups
Division of Geological and Planetary Sciences (GPS)
Publication Status
Published