Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-325-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-325-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
31 Jan 2022
Data description paper |
| 31 Jan 2022
| 31 Jan 2022
An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
Thomas E. Taylor
CORRESPONDING AUTHOR
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Christopher W. O'Dell
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
David Crisp
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Akhiko Kuze
Japan Aerospace Exploration Agency, Tsukuba-City, Ibaraki, Japan
Hannakaisa Lindqvist
Finnish Meteorological Institute, Helsinki, Finland
Paul O. Wennberg
Dept of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA
Abhishek Chatterjee
Universities Space Research Association, Columbia, MD, USA
Goddard Space Flight Center, Greenbelt, MD, USA
now at: Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Michael Gunson
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Annmarie Eldering
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Brendan Fisher
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Matthäus Kiel
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Robert R. Nelson
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Aronne Merrelli
Space Science and Engineering Center, University of Wisconsin – Madison, Madison, WI 53706, USA
Greg Osterman
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
Paul I. Palmer
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
Liang Feng
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Manvendra K. Dubey
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Dietrich G. Feist
Max Planck Institute for Biogeochemistry, Jena, Germany
Lehrstuhl für Physik der Atmosphäre, Ludwig-Maximilians-Universität München, Munich, Germany
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Omaira E. García
Izaña Atmospheric Research Centre (IARC), State Meteorological Agency of Spain (AEMET), Santa Cruz de Tenerife, Spain
David W. T. Griffith
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Frank Hase
Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
Laura T. Iraci
NASA Ames Research Center, Moffett Field, CA, USA
Rigel Kivi
Finnish Meteorological Institute, FMI, Sodankylä, Finland
Cheng Liu
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Martine De Mazière
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Isamu Morino
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Young-Suk Oh
Global Atmosphere Watch Team, Innovative Meteorological Research Department, National Institute of Meteorological Sciences, Jeju-do, Republic of Korea
Hirofumi Ohyama
National Institute for Environmental Studies (NIES), Tsukuba, Japan
David F. Pollard
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Markus Rettinger
Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
Matthias Schneider
Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
Coleen M. Roehl
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Mahesh Kumar Sha
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Kei Shiomi
Japan Aerospace Exploration Agency, Tsukuba-City, Ibaraki, Japan
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Ralf Sussmann
Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
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
Voltaire A. Velazco
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Deutscher Wetterdienst, Meteorological Observatory Hohenpeissenberg, 82383 Germany
Mihalis Vrekoussis
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Debra Wunch
Department of Physics, University of Toronto, Toronto, Ontario, Canada
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- A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
- Monitoring of Atmospheric Carbon Dioxide over Pakistan Using Satellite Dataset N. An et al. 10.3390/rs14225882
- Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al. 10.3390/atmos15030246
- Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. 10.1016/j.jag.2024.103859
- Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
- Integration of surface-based and space-based atmospheric CO2 measurements for improving carbon flux estimates using a new developed 3-GAS inversion model S. Liu et al. 10.1016/j.atmosres.2024.107477
- Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019 M. Zhang & G. Liu 10.1016/j.scitotenv.2022.159588
- CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
- Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. 10.1016/j.isprsjprs.2024.01.009
- Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis X. Chen et al. 10.1016/j.scitotenv.2023.167917
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
- Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method Y. Wang et al. 10.5194/essd-15-3597-2023
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm S. Noël et al. 10.5194/amt-15-3401-2022
- A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. 10.1109/JSTARS.2024.3355549
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. 10.5194/amt-16-1477-2023
- The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites F. Jiang et al. 10.1016/j.fmre.2022.02.001
- A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS C. Fan et al. 10.1364/OE.517736
- Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations C. Das et al. 10.1016/j.scitotenv.2023.166176
Latest update: 20 Nov 2024
Short summary
We provide an analysis of an 11-year record of atmospheric carbon dioxide (CO2) concentrations derived using an optimal estimation retrieval algorithm on measurements made by the GOSAT satellite. The new product (version 9) shows improvement over the previous version (v7.3) as evaluated against independent estimates of CO2 from ground-based sensors and atmospheric inversion systems. We also compare the new GOSAT CO2 values to collocated estimates from NASA's Orbiting Carbon Observatory-2.
We provide an analysis of an 11-year record of atmospheric carbon dioxide (CO2) concentrations...
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