Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3173-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-3173-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jun 2023
Research article |
| 27 Jun 2023
| 27 Jun 2023
Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 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 Baker
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Carol Bruegge
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Albert Chang
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Lars Chapsky
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Abhishek Chatterjee
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Cecilia Cheng
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
David Crisp
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Lan Dang
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Brian Drouin
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Annmarie Eldering
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Liang Feng
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
Brendan Fisher
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Dejian Fu
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Michael Gunson
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Vance Haemmerle
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Graziela R. Keller
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Matthäus Kiel
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Thomas Kurosu
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Alyn Lambert
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Joshua Laughner
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Richard Lee
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Junjie Liu
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Lucas Mandrake
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Yuliya Marchetti
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Gregory McGarragh
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Aronne Merrelli
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Robert R. Nelson
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Greg Osterman
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Fabiano Oyafuso
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Paul I. Palmer
National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
Vivienne H. Payne
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Robert Rosenberg
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Peter Somkuti
College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK, USA
Gary Spiers
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Cathy To
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Brad Weir
Goddard Earth Sciences Technology and Research, Morgan State University, Baltimore, MD, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Paul O. Wennberg
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Shanshan Yu
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
Jia Zong
Jet Propulsion Laboratory, California Institute
of Technology, Pasadena, CA, USA
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Cited
13 citations as recorded by crossref.
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- Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. 10.1016/j.jag.2024.103859
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
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- Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al. 10.3390/atmos15030246
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- 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
- Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis 10.3389/fenvs.2023.1289142
12 citations as recorded by crossref.
- Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al. 10.1088/1748-9326/ad059b
- Intelligent pointing increases the fraction of cloud-free CO2 and CH4 observations from space R. Nassar et al. 10.3389/frsen.2023.1233803
- Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
- Synergistic monitoring of PM2.5 and CO2 based on active and passive remote sensing fusion during the 2022 Beijing Winter Olympics S. Wang et al. 10.1364/AO.505271
- Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. 10.1016/j.jag.2024.103859
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
- A method for estimating localized CO2 emissions from co-located satellite XCO2 and NO2 images B. Fuentes Andrade et al. 10.5194/amt-17-1145-2024
- Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al. 10.3390/atmos15030246
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- 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
Latest update: 09 May 2024
Short summary
NASA's Orbiting Carbon Observatory 2 and 3 (OCO-2 and OCO-3, respectively) provide complementary spatiotemporal coverage from a sun-synchronous and precession orbit, respectively. Estimates of total column carbon dioxide (XCO2) derived from the two sensors using the same retrieval algorithm show broad consistency over a 2.5-year overlapping time record. This suggests that data from the two satellites may be used together for scientific analysis.
NASA's Orbiting Carbon Observatory 2 and 3 (OCO-2 and OCO-3, respectively) provide complementary...
