Articles | Volume 16, issue 1
https://doi.org/10.5194/amt-16-109-2023
© 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-16-109-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jan 2023
Research article |
| 12 Jan 2023
| 12 Jan 2023
Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80521, USA
Christopher W. O'Dell
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80521, USA
Thomas E. Taylor
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80521, USA
Aronne Merrelli
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Robert R. Nelson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Matthäus Kiel
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Annmarie Eldering
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Robert Rosenberg
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Brendan Fisher
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
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Cited
11 citations as recorded by crossref.
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- Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis 10.3389/fenvs.2023.1289142
- 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
- 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
- Atmospheric carbon dioxide over the Arabian Peninsula: Variability and associated sources H. Gandham et al. 10.1016/j.atmosenv.2025.121316
- Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai M. Jia et al. 10.3390/rs17061087
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al. 10.1016/j.jclepro.2025.145945
- 基于多源数据的城市CO2源汇高空间分辨网格的构建方法研究 孙. Sun Erchang et al. 10.3788/AOS241741
- Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. 10.5194/amt-16-2145-2023
- Global 20-year time series of XCO2 concentrations derived from satellite observations and interpolations to analyze XCO2 anomalies caused by wildfires W. Wefers et al. 10.1016/j.atmosres.2025.108408
- Building a bridge: characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide snapshot area maps and Sentinel-5P/TROPOMI nitrogen dioxide columns J. Hakkarainen et al. 10.1088/1748-9326/acb837
10 citations as recorded by crossref.
- 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
- Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis 10.3389/fenvs.2023.1289142
- 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
- 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
- Atmospheric carbon dioxide over the Arabian Peninsula: Variability and associated sources H. Gandham et al. 10.1016/j.atmosenv.2025.121316
- Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai M. Jia et al. 10.3390/rs17061087
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al. 10.1016/j.jclepro.2025.145945
- 基于多源数据的城市CO2源汇高空间分辨网格的构建方法研究 孙. Sun Erchang et al. 10.3788/AOS241741
- Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. 10.5194/amt-16-2145-2023
- Global 20-year time series of XCO2 concentrations derived from satellite observations and interpolations to analyze XCO2 anomalies caused by wildfires W. Wefers et al. 10.1016/j.atmosres.2025.108408
Latest update: 17 Sep 2025
Short summary
A small percentage of data from the Orbiting Carbon Observatory-3 (OCO-3) instrument has been shown to have a geometry-related bias in the earliest public data release. This work shows that the bias is due to a complex interplay of aerosols and viewing geometry and is largely mitigated in the latest data version through improved bias correction and quality filtering.
A small percentage of data from the Orbiting Carbon Observatory-3 (OCO-3) instrument has been...
