Articles | Volume 16, issue 1
https://doi.org/10.5194/amt-16-109-2023
https://doi.org/10.5194/amt-16-109-2023
Research article
 | 
12 Jan 2023
Research article |  | 12 Jan 2023

Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects

Emily Bell, Christopher W. O'Dell, Thomas E. Taylor, Aronne Merrelli, Robert R. Nelson, Matthäus Kiel, Annmarie Eldering, Robert Rosenberg, and Brendan Fisher

Related authors

Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory
Steven T. Massie, Heather Cronk, Aronne Merrelli, Sebastian Schmidt, and Steffen Mauceri
Atmos. Meas. Tech., 16, 2145–2166, https://doi.org/10.5194/amt-16-2145-2023,https://doi.org/10.5194/amt-16-2145-2023, 2023
Short summary
A non-linear data driven approach to bias correction of XCO2 for OCO-2 NASA ACOS version 10
William R. Keely, Steffen Mauceri, Sean Crowell, and Christopher W. O'Dell
EGUsphere, https://doi.org/10.5194/egusphere-2023-362,https://doi.org/10.5194/egusphere-2023-362, 2023
Short summary
A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm
Joshua L. Laughner, Sébastien Roche, Matthäus Kiel, Geoffrey C. Toon, Debra Wunch, Bianca C. Baier, Sébastien Biraud, Huilin Chen, Rigel Kivi, Thomas Laemmel, Kathryn McKain, Pierre-Yves Quéhé, Constantina Rousogenous, Britton B. Stephens, Kaley Walker, and Paul O. Wennberg
Atmos. Meas. Tech., 16, 1121–1146, https://doi.org/10.5194/amt-16-1121-2023,https://doi.org/10.5194/amt-16-1121-2023, 2023
Short summary
Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm
Thomas E. Taylor, Christopher W. O'Dell, David Baker, Carol Bruegge, Albert Chang, Lars Chapsky, Abhishek Chatterjee, Cecilia Cheng, Frédéric Chevallier, David Crisp, Lan Dang, Brian Drouin, Annmarie Eldering, Liang Feng, Brendan Fisher, Dejian Fu, Michael Gunson, Vance Haemmerle, Graziela R. Keller, Matthäus Kiel, Le Kuai, Thomas Kurosu, Alyn Lambert, Joshua Laughner, Richard Lee, Junjie Liu, Lucas Mandrake, Yuliya Marchetti, Gregory McGarragh, Aronne Merrelli, Robert R. Nelson, Greg Osterman, Fabiano Oyafuso, Paul I. Palmer, Vivienne H. Payne, Robert Rosenberg, Peter Somkuti, Gary Spiers, Cathy To, Paul O. Wennberg, Shanshan Yu, and Jia Zong
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-329,https://doi.org/10.5194/amt-2022-329, 2023
Revised manuscript accepted for AMT
Short summary
Vicarious Calibration of the TROPOMI-SWIR module over the Railroad Valley playa
Tim Anton van Kempen, Tim J. Rotmans, Richard M. van Hees, Carol Bruegge, Dejian Fu, Ruud Hoogeveen, Thomas J. Pongetti, Robert Rosenberg, and Ilse Aben
EGUsphere, https://doi.org/10.5194/egusphere-2023-89,https://doi.org/10.5194/egusphere-2023-89, 2023
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary

Related subject area

Subject: Gases | Technique: Remote Sensing | Topic: Instruments and Platforms
The site-specific primary calibration conditions for the Brewer spectrophotometer
Xiaoyi Zhao, Vitali Fioletov, Alberto Redondas, Julian Gröbner, Luca Egli, Franz Zeilinger, Javier López-Solano, Alberto Berjón Arroyo, James Kerr, Eliane Maillard Barras, Herman Smit, Michael Brohart, Reno Sit, Akira Ogyu, Ihab Abboud, and Sum Chi Lee
Atmos. Meas. Tech., 16, 2273–2295, https://doi.org/10.5194/amt-16-2273-2023,https://doi.org/10.5194/amt-16-2273-2023, 2023
Short summary
Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America
Elion Daniel Hack, Theotonio Pauliquevis, Henrique Melo Jorge Barbosa, Marcia Akemi Yamasoe, Dimitri Klebe, and Alexandre Lima Correia
Atmos. Meas. Tech., 16, 1263–1278, https://doi.org/10.5194/amt-16-1263-2023,https://doi.org/10.5194/amt-16-1263-2023, 2023
Short summary
Open-path measurement of stable water isotopologues using mid-infrared dual-comb spectroscopy
Daniel I. Herman, Griffin Mead, Fabrizio R. Giorgetta, Esther Baumann, Nathan Malarich, Brian R. Washburn, Nathan R. Newbury, Ian Coddington, and Kevin C. Cossel
EGUsphere, https://doi.org/10.5194/egusphere-2022-1263,https://doi.org/10.5194/egusphere-2022-1263, 2023
Short summary
Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions
Kai Wu, Paul I. Palmer, Dien Wu, Denis Jouglet, Liang Feng, and Tom Oda
Atmos. Meas. Tech., 16, 581–602, https://doi.org/10.5194/amt-16-581-2023,https://doi.org/10.5194/amt-16-581-2023, 2023
Short summary
UAV-based sampling systems to analyse greenhouse gases and volatile organic compounds encompassing compound-specific stable isotope analysis
Simon Leitner, Wendelin Feichtinger, Stefan Mayer, Florian Mayer, Dustin Krompetz, Rebecca Hood-Nowotny, and Andrea Watzinger
Atmos. Meas. Tech., 16, 513–527, https://doi.org/10.5194/amt-16-513-2023,https://doi.org/10.5194/amt-16-513-2023, 2023
Short summary

Cited articles

Aben, I., Hasekamp, O., and Hartmann, W.: Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth's atmosphere, J. Quant. Spectrosc. Ra., 104, 450–459, https://doi.org/10.1016/j.jqsrt.2006.09.013 , 2007. a
Basilio, R. R., Bennett, M. W., Eldering, A., Lawson, P. R., and Rosenberg, R. A.: Orbiting Carbon Observatory-3 (OCO-3), remote sensing from the International Space Station (ISS), in: Sensors, Systems, and Next-Generation Satellites XXIII, International Society for Optics and Photonics, vol. 11151, 1115109, https://doi.org/10.1117/12.2534996, 2019. a
Bertaux, J.-L., Hauchecorne, A., Lefèvre, F., Bréon, F.-M., Blanot, L., Jouglet, D., Lafrique, P., and Akaev, P.: The use of the 1.27 µm O2 absorption band for greenhouse gas monitoring from space and application to MicroCarb, Atmos. Meas. Tech., 13, 3329–3374, https://doi.org/10.5194/amt-13-3329-2020, 2020. a
Bösch, H., Toon, G. C., Sen, B., Washenfelder, R. A., Wennberg, P. O., Buchwitz, M., de Beek, R., Burrows, J. P., Crisp, D., Christi, M., Connor, B. J., Natraj, V., and Yung, Y. L.: Space-based near-infrared CO2 measurements: Testing the Orbiting Carbon Observatory retrieval algorithm and validation concept using SCIAMACHY observations over Park Falls, Wisconsin, J. Geophys. Res.-Atmos., 111, D23302, https://doi.org/10.1029/2006JD007080, 2006. a
Bovensmann, H., Burrows, J., Buchwitz, M., Frerick, J., Noel, S., Rozanov, V., Chance, K., and Goede, A.: SCIAMACHY: Mission objectives and measurement modes, J. Atmos. Sci., 56, 127–150, 1999. a
Download
Short summary
A small percentage of data from the Orbiting Carbon Observatory-3 (OCO-3) instrument has been shown to have a geometry-related bias in the earliest public data release. This work shows that the bias is due to a complex interplay of aerosols and viewing geometry and is largely mitigated in the latest data version through improved bias correction and quality filtering.