Publications for Orbiting Carbon Observatory-2 (OCO-2)

Publication Citation
Su, Z., Y. Yung, R.-L. Shia, and C.E. Miller (2017), Assessing accuracy and precision for space-based measurements of carbon dioxide: An associated statistical methodology revisited, Earth and Space Science, 4, 147-161, doi:10.1002/2016EA000228.
Sun, K., X. Liu, C. Nowlan, Z. Cai, K. Chance, C. Frankenberg, R.A.M. Lee, R. Pollock, R. Rosenberg, and D. Crisp (2017), Characterization of the OCO-2 instrument line shape functions using on-orbit solar measurements, Atmos. Meas. Tech., 10, 939-953, doi:10.5194/amt-10-939-2017.
Sun, Y., C. Frankenberg, J.D. Wood, D. Schimel, M. Jung, L. Guanter, D. Drewry, M. Verma, A. Porcar-Castell, T.J. Griffis, L. Gu, T.S. Magney, P. Köhler, B. Evans, and K. Yuen (2017), R ES E A RC H | R E MO T E S E NS I NG, Science, 358, 189, doi:10.1126/science.aam5747.
Sun, Y., C. Frankenberg, M. Jung, J. Joiner, L. Guanter, P. Köhler, and T. Magney (2018), Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting T Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP ⁎ ⁎⁎, Remote Sensing of Environment, 209, 808-823, doi:10.1016/j.rse.2018.02.016.
Tadic, J.M., and A.M. Michalak (2016), On the effect of spatial variability and support on validation of remote sensing observations of CO2, Atmos. Environ., 132, 309-316, doi:10.1016/j.atmosenv.2016.03.014.
Taylor, T.E., C. O'Dell, C. Frankenberg, P.T. Partain, H. Cronk, A. Savtchenko, R.R. Nelson, E.J. Rosenthal, A.Y. Chang, B. Fisher, G. Osterman, R.H. Pollock, D. Crisp, A. Eldering, and M. Gunson (2016), Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data, Atmos. Meas. Tech., 9, 973-989, doi:10.5194/amt-9-973-2016.
Torres, A.D., G. Keppel-Aleks, S.C. Doney, M. Fendrock, K. Luis, M. De Mazière, F. Hase, C. Petri, D.F. Pollard, C.M. Roehl, R. Sussmann, V.A. Velazco, T. Warneke, and D. Wunch (2019), A Geostatistical Framework for Quantifying the Imprint of Mesoscale Atmospheric Transport on Satellite Trace Gas Retrievals, J. Geophys. Res., 124, 9773-9795, doi:10.1029/2018JD029933.
Velazco, V.A., N.M. Deutscher, I. Morino, O. Uchino, B. Bukosa, M. Ajiro, A. Kamei, N.B. Jones, C. Paton-Walsh, and D.W.T. Griffith (2019), Satellite and ground-based measurements of XCO2 in a remote semiarid region of Australia, Earth Syst. Sci. Data, 11, 935-946, doi:10.5194/essd-11-935-2019.
Verma, M., D. Schimel, B. Evans, C. Frankenberg, J. Beringer, D. Drewry, T. Magney, I. Marang, L. Hutley, C. Moore, and A. Eldering (2017), Effect of environmental conditions on the relationship between solar-induced fluorescence and gross primary productivity at an OzFlux grassland site, J. Geophys. Res., 122, 716-733, doi:10.1002/2016JG003580.
Wang, C., J. Beringer, L.B. Hutley, J. Cleverly, J. Li, Q. Liu, and Y. Sun (2019), Phenology Dynamics of Dryland Ecosystems Along the North Australian Tropical Transect Revealed by Satellite Solar‐Induced Chlorophyll Fluorescence, Geophys. Res. Lett., 46, 5294-5302, doi:10.1029/2019GL082716.
Wang, S., Y. Zhang, J. Hakkarainen, W. Ju, Y. Liu, F. Jiang, and W. He (2018), Distinguishing Anthropogenic CO2 Emissions From Different Energy Intensive Industrial Sources Using OCO-2 Observations: A Case Study in Northern China, J. Geophys. Res., 123, 9462-9473, doi:10.1029/2018JD029005.
Wang, S., W. Ju, J. Peñuelas, A. Cescatti, Y. Zhou, Y. Fu, A. Huete, M. Liu, and Y. Zhang (2019), Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons, Nature, doi:10.1038/s41559-019-0931-1.
Wang, W., Y. Tian, C. Liu, Y. Sun, W. Liu, P. Xie, J. Liu, J. Xu, I. Morino, V.A. Velazco, D.W.T. Griffith, J. Notholt, and T. Warneke (2017), Investigating the performance of a greenhouse gas observatory in Hefei, China, Atmos. Meas. Tech., 10, 2627-2643, doi:10.5194/amt-10-2627-2017.
Wang, X., J.M. Chen, and W. Ju (2020), Photochemical reflectance index (PRI) can be used to improve the T relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF), Remote Sensing of Environment, 246, 111888, doi:10.1016/j.rse.2020.111888.
Wikle, C.K., A. Zammit-Mangion, and N. Cressie (2019), Spatio-Temporal Statistics with R, Chapman & Hall/CRC, Isbn, 978-1-138-71113-6, 1-380.
Worden, J., G. Doran, S. Kulawik, A. Eldering, D. Crisp, C. Frankenberg, C. O’Dell, and K. Bowman (2016), c Author(s) 2016. CC-BY 3.0 License. 1 Title: Evaluation And Attribution Of OCO-2 XCO2 Uncertainties 2 3 Authors: John Worden1, Gary Doran1, Susan Kulawik2, Annmarie Eldering1, David 4 Crisp1, Christian Frankenberg3,1, Chris O’Dell4, and Kevin Bowman1 5, Atmos. Meas. Tech., doi:10.5194/amt-2016-175.
Worden, J., G. Doran, S.S. Kulawik, A. Eldering, D. Crisp, C. Frankenberg, C. O'Dell, and K. Bowman (2017), Evaluation and attribution of OCO-2 XCO2 uncertainties, Atmos. Meas. Tech., 10, 2759-2771, doi:10.5194/amt-10-2759-2017.
Wu, D.E., J.C. Lin, T. Oda, and E.A. Kort (2020), Space-based quantification of per capita CO2 emissions from cities, Environmental Research Letters, 15, 035004, doi:10.1088/1748-9326/ab68eb.
Wu, D., J.C. Lin, B. Fasoli, T. Oda, X. Ye, T. Lauvaux, E.G. Yang, and E.A. Kort (2018), A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”), Geosci. Model. Dev., 11, 4843-4871, doi:10.5194/gmd-11-4843-2018.
Wu, L., A.J. de Brugh, Y. Meijer, B. Sierk, O.H.O.H. Otto Hasekamp, A. Butz, and J. Landgraf (2020), XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements, Atmos. Meas. Tech., 13, 713-729, doi:10.5194/amt-13-713-2020.