Articles | Volume 21, issue 18
https://doi.org/10.5194/acp-21-14385-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-14385-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
John B. Miller
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Micheal Trudeau
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Arlyn E. Andrews
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Marikate Mountain
Atmospheric and Environmental Research, Lexington, MA 02041, USA
Thomas Nehrkorn
Atmospheric and Environmental Research, Lexington, MA 02041, USA
Bianca Baier
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Kathryn McKain
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
John Mund
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Kaiyu Guan
Department of Natural Resources and Environmental Sciences, College of Agriculture, Consumer, and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL 60801, USA
Caroline B. Alden
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
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Cited
5 citations as recorded by crossref.
- A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. 10.5194/essd-16-2857-2024
- Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. 10.1029/2022JD036696
- 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
- Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
5 citations as recorded by crossref.
- A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. 10.5194/essd-16-2857-2024
- Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. 10.1029/2022JD036696
- 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
- Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
Latest update: 25 Dec 2024
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Short summary
Predicting Earth's climate is difficult, partly due to uncertainty in forecasting how much CO2 can be removed by oceans and plants, because we cannot measure these exchanges directly on large scales. Satellites such as NASA's OCO-2 can provide part of the needed information, but data need to be highly precise and accurate. We evaluate these data and find small biases in certain months that are similar to the signals of interest. We argue that continued improvement of these data is necessary.
Predicting Earth's climate is difficult, partly due to uncertainty in forecasting how much CO2...
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