2017
DOI: 10.5194/amt-10-59-2017
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The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products

Abstract: Abstract. The Orbiting Carbon Observatory-2 (OCO-2) carries and points a three-channel imaging grating spectrometer designed to collect high-resolution, co-boresighted spectra of reflected sunlight within the molecular oxygen (O 2 ) Aband at 0.765 microns and the carbon dioxide (CO 2 ) bands at 1.61 and 2.06 microns. These measurements are calibrated and then combined into soundings that are analyzed to retrieve spatially resolved estimates of the column-averaged CO 2 dry-air mole fraction, XCO 2 . Variations … Show more

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Cited by 348 publications
(333 citation statements)
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“…These biases can be caused by uncertainties in the spectroscopy, by limitations in the information content of the measurements (i.e., the spectra do not contain enough information to resolve multiple independent vertical pieces of information), by uncertainties or oversimplifications in the optical properties of the atmosphere and surface -particularly from low-lying cloud, haze, and aerosols -and by uncertainties in the instrument characterization and calibration (e.g., Crisp et al, 2017;Wunch et al, 2011a;Guerlet et al, 2013;Schneising et al, 2012). Considerable effort is dedicated to creating robust "bias correction" procedures, and these are detailed in regularly updated documentation avail-D. Wunch et al: OCO-2 validation able online through the Goddard Data Center (GES-DISC, 2016) and the CO 2 portal (JPL-Caltech, 2016).…”
Section: Target Mode and The Oco-2 Bias Correctionmentioning
confidence: 99%
See 1 more Smart Citation
“…These biases can be caused by uncertainties in the spectroscopy, by limitations in the information content of the measurements (i.e., the spectra do not contain enough information to resolve multiple independent vertical pieces of information), by uncertainties or oversimplifications in the optical properties of the atmosphere and surface -particularly from low-lying cloud, haze, and aerosols -and by uncertainties in the instrument characterization and calibration (e.g., Crisp et al, 2017;Wunch et al, 2011a;Guerlet et al, 2013;Schneising et al, 2012). Considerable effort is dedicated to creating robust "bias correction" procedures, and these are detailed in regularly updated documentation avail-D. Wunch et al: OCO-2 validation able online through the Goddard Data Center (GES-DISC, 2016) and the CO 2 portal (JPL-Caltech, 2016).…”
Section: Target Mode and The Oco-2 Bias Correctionmentioning
confidence: 99%
“…This change occurred on 72 out of the 233 orbital paths: 15 over the Atlantic and 57 over the Pacific, resulting in higher data throughput due to the reduction in nadir soundings over ocean. Crisp et al (2017) discuss the measurement strategy in detail.…”
Section: Oco-observation Modesmentioning
confidence: 99%
“…Equally valuable to a continually evolving observation system is the re-evaluation of the COSSE conclusions after a new observational system has been put into place (e.g., Crisp et al, 2017). The skills and usefulness of COSSEs will only evolve if the approaches are evaluated on their results.…”
Section: 1002/2017ef000627mentioning
confidence: 99%
“…OCO-2 is operated in a near-push-broom fashion and has eight footprints across track and an integration time of 0.333 s. The instrument's spatial resolution at ground is 1.29 km across track and 2.25 km along track. More information on the OCO-2 instrument can be obtained from the publications of Crisp et al [21,22].…”
Section: Retrievalmentioning
confidence: 99%
“…A recent study comparing OCO-2 Orbiting Carbon Observatory-2 [21,22] and GOSAT Greenhouse Gases Observing Satellite [23] XCO 2 retrievals with and without any explicit consideration of scattering at clouds and aerosols suggests that the introduced errors in measured data are small after appropriate filtering [24]. Additionally, Bril et al showed with simulated and measured GOSAT data that considering scattering at only one layer can be sufficient to obtain results with state of the art precision and accuracy [20].…”
Section: Introductionmentioning
confidence: 99%