Articles | Volume 10, issue 7
https://doi.org/10.5194/amt-10-2759-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-2759-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation and attribution of OCO-2 XCO2 uncertainties
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Gary Doran
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Susan Kulawik
Bay Area Environmental Research Institute, Petaluma, CA, USA
Annmarie Eldering
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
David Crisp
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Christian Frankenberg
Geological and Planetary Sciences, California Institute for Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Chris O'Dell
Colorado State University, Fort Collins, CO, USA
Kevin Bowman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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38 citations as recorded by crossref.
- Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. 10.1007/s00376-024-3293-9
- The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. 10.5194/amt-12-2341-2019
- Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. 10.1126/science.aam5776
- Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño J. Liu et al. 10.1126/science.aam5690
- Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. 10.5194/amt-16-109-2023
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. 10.3390/rs16081442
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
- Regional impacts of COVID-19 on carbon dioxide detected worldwide from space B. Weir et al. 10.1126/sciadv.abf9415
- 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
- Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions A. Danjou et al. 10.1016/j.rse.2023.113900
- Convergent control of soil temperature on seasonal carbon flux in Tibetan alpine meadows: An in-situ monitoring study Y. Xing et al. 10.1016/j.ecolind.2023.111116
- Spectroscopic uncertainty impacts on OCO-2/3 retrievals of XCO2 J. Hobbs et al. 10.1016/j.jqsrt.2020.107360
- Amplification of the Ocean Carbon Sink During El Niños: Role of Poleward Ekman Transport and Influence on Atmospheric CO2 E. Liao et al. 10.1029/2020GB006574
- Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
- Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements Y. Bi et al. 10.1007/s13351-018-7118-6
- Airborne measurements of CO<sub>2</sub> column concentrations made with a pulsed IPDA lidar using a multiple-wavelength-locked laser and HgCdTe APD detector J. Abshire et al. 10.5194/amt-11-2001-2018
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
- WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
- 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
- Southern California megacity CO<sub>2</sub>, CH<sub>4</sub>, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model J. Hedelius et al. 10.5194/acp-18-16271-2018
- Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2 B. Zheng et al. 10.5194/acp-20-8501-2020
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- The impact of transport model differences on CO<sub>2</sub> surface flux estimates from OCO-2 retrievals of column average CO<sub>2</sub> S. Basu et al. 10.5194/acp-18-7189-2018
- Evaluation of OCO‐2 X Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT‐America Campaigns E. Bell et al. 10.1029/2019JD031400
- Dynamics of atmospheric carbon dioxide over different land cover types in India A. Chhabra & A. Gohel 10.1007/s10661-019-7681-z
- A new exponentially decaying error correlation model for assimilating OCO-2 column-average CO<sub>2</sub> data using a length scale computed from airborne lidar measurements D. Baker et al. 10.5194/gmd-15-649-2022
- Evaluation of single-footprint AIRS CH<sub>4</sub> profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. 10.5194/amt-14-335-2021
- 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
- A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
- Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
- A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
- Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. 10.1088/1748-9326/abc846
- Post hoc Uncertainty Quantification for Remote Sensing Observing Systems A. Braverman et al. 10.1137/19M1304283
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- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. 10.5194/amt-11-6539-2018
- Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon Y. Qin et al. 10.1038/s41558-021-01026-5
4 citations as recorded by crossref.
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
- The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. 10.5194/amt-10-549-2017
- Distribution of CO2 in Western Pacific, Studied Using Isotope Data Made in Taiwan, OCO‐2 Satellite Retrievals, and CarbonTracker Products A. Laskar et al. 10.1029/2018EA000415
Latest update: 14 Dec 2024
Short summary
This paper evaluates the uncertainties of the total column carbon dioxide (XCO2) measurements from the NASA OCO-2 instrument by comparing observed variations in small geographical regions to the calculated uncertainties of the data within this region. In general we find that the reported XCO2 precision is related to that expected from the XCO2 radiance noise. However, the reported accuracy is at least smaller than the actual accuracy by a factor of 2–4.
This paper evaluates the uncertainties of the total column carbon dioxide (XCO2) measurements...