Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) X CO 2 measurements with TCCON

By Debra Wunch, Paul O. Wennberg, G. Osterman, Brendan M. Fisher, B. Naylor, C. Roehl, Christopher W. O'Dell, L. Mandrake, C. Viatte, D. Griffith and 39 more. 2016

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NASA's Orbiting Carbon Observatory-2 (OCO-2) has been measuring carbon dioxide column-averaged dry-air mole fraction, X_(CO_2), in the Earth's atmosphere for over 2 years. In this paper, we describe the comparisons between the first major release of the OCO-2 retrieval algorithm (B7r) and X_(CO2) from OCO-2's primary ground-based validation network: the Total Carbon Column Observing Network (TCCON). The OCO-2 X_(CO_2) retrievals, after filtering and bias correction, agree well when aggregated around and coincident with TCCON data in nadir, glint, and target observation modes, with absolute median differences less than 0.4 ppm and RMS differences less than 1.5 ppm. After bias correction, residual biases remain. These biases appear to depend on latitude, surface properties, and scattering by aerosols. It is thus crucial to continue measurement comparisons with TCCON to monitor and evaluate the OCO-2 X_(CO_2) data quality throughout its mission.

Subfields: Artificial Intelligence, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d0ae2a16dc1a735bfe15477ebac89887055fac79

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Citations in the corpus

The Orbiting Carbon Observatory-2: first 18 months of science data products (2016, methodology): “This statistic from Wunch et al. (2016) is for data with a warn level below 11 and an “outcome_flag” of zero, which are slightly less strict selection criteria then the 0/1 quality flag.”
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, methodology): “When validating version 7 XCO2 retrievals, it was discovered via comparisons to both TCCON and models that most ocean soundings in the most southerly ∼ 10 degrees of latitude exhibited a high bias of 1–3 ppm during the austral winter (Wunch et al., 2017).”