Articles | Volume 14, issue 23
https://doi.org/10.5194/acp-14-12897-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-12897-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A regional CO2 observing system simulation experiment for the ASCENDS satellite mission
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
S. R. Kawa
NASA Goddard Space Flight Center, Greenbelt, MD, USA
J. Eluszkiewicz
Atmospheric and Environmental Research, Lexington, MA, USA
deceased on 27 May 2014
D. F. Baker
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
M. Mountain
Atmospheric and Environmental Research, Lexington, MA, USA
J. Henderson
Atmospheric and Environmental Research, Lexington, MA, USA
T. Nehrkorn
Atmospheric and Environmental Research, Lexington, MA, USA
T. S. Zaccheo
Atmospheric and Environmental Research, Lexington, MA, USA
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Cited
12 citations as recorded by crossref.
- Active–passive collaborative approach for XCO2 retrieval using spaceborne sensors M. Cai et al. 10.1364/OL.464870
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. 10.1016/j.rse.2025.114954
- The impact of transport model differences on CO2 surface flux estimates from OCO-2 retrievals of column average CO2 S. Basu et al. 10.5194/acp-18-7189-2018
- Extinction effects of atmospheric compositions on return signals of space-based lidar from numerical simulation L. Yao et al. 10.1016/j.jqsrt.2018.01.034
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- On the Ability of Space‐Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle S. Crowell et al. 10.1002/2017JD027836
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
- Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
- Observing System Simulation Experiments for air quality R. Timmermans et al. 10.1016/j.atmosenv.2015.05.032
11 citations as recorded by crossref.
- Active–passive collaborative approach for XCO2 retrieval using spaceborne sensors M. Cai et al. 10.1364/OL.464870
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. 10.1016/j.rse.2025.114954
- The impact of transport model differences on CO2 surface flux estimates from OCO-2 retrievals of column average CO2 S. Basu et al. 10.5194/acp-18-7189-2018
- Extinction effects of atmospheric compositions on return signals of space-based lidar from numerical simulation L. Yao et al. 10.1016/j.jqsrt.2018.01.034
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- On the Ability of Space‐Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle S. Crowell et al. 10.1002/2017JD027836
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
- Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
1 citations as recorded by crossref.
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Latest update: 22 Aug 2025
Short summary
Our simulations suggest that CO2 measurements by the planned ASCENDS satellite could improve estimates of emissions and uptake by up to 50% at the weekly 1° by 1° scale, 40-75% at the annual biome scale, and 65-85% for the whole of North America. The results depend on the laser wavelength used and the assumed precision of the measurements. The resulting biome flux uncertainties, 0.01-0.06 billion tons of C per year, would satisfy one definition of mission success.
Our simulations suggest that CO2 measurements by the planned ASCENDS satellite could improve...
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