Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-5227-2016
© Author(s) 2016. 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-9-5227-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Oct 2016
Research article |
| 27 Oct 2016
Quantification of uncertainties in OCO-2 measurements of XCO2: simulations and linear error analysis
Brian Connor
CORRESPONDING AUTHOR
BC Scientific Consulting, Stony Brook, NY, USA
Hartmut Bösch
EOS Group, Department of Physics and Astronomy, University
of Leicester, Leicester, UK
National Centre for Earth Observation NCEO, University of Leicester,
Leicester, UK
James McDuffie
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Tommy Taylor
Cooperative Institute for Research in the Atmosphere, Fort Collins,
CO, USA
Dejian Fu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Christian Frankenberg
California Institute of Technology, Pasadena, CA, USA
Chris O'Dell
Cooperative Institute for Research in the Atmosphere, Fort Collins,
CO, USA
Vivienne H. Payne
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Michael Gunson
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Randy Pollock
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Jonathan Hobbs
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Fabiano Oyafuso
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Yibo Jiang
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
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Latest update: 25 Nov 2025
Short summary
We present an analysis of uncertainties in global measurements of the column-averaged dry-air mole fraction of CO2 (XCO2) by the satellite OCO-2. The analysis is based on our best estimates for uncertainties in the OCO-2 operational algorithm and its inputs. From these results we estimate the "variable error", which differs between soundings, to infer the error in the difference of XCO2 between any two soundings. Variable errors are usually < 1 ppm over ocean and ~ 0.5–2 ppm over land.
We present an analysis of uncertainties in global measurements of the column-averaged dry-air...
