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

Publication Citation
Jiang, X., and Y. Yung (2019), Global patterns of carbon dioxide variability from satellite observations, Annu. Rev. Earth Planet. Sci., 47, 225-245, doi:10.1146/annurev-earth-053018-.
Kataoka, F., D. Crisp, T.E. Taylor, C. O'Dell, A.4.I.D. Kuze, K. Shiomi, H. Suto, C. Bruegge, F.M. Schwandner, R. Rosenberg, L. Chapsky, and R.A.M. Lee (2017), The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2, doi:10.3390/rs9111158.
Kiel, M., C. O'Dell, B. Fisher, A. Eldering, R. Nassar, C.G. MacDonald, and P. Wennberg (2019), How bias correction goes wrong: measurement of XCO2 affected by erroneous surface pressure estimates, Atmos. Meas. Tech., 12, 2241-2259, doi:10.5194/amt-12-2241-2019.
Kira, O., and Y. Sun (2020), Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network, ISPRS Journal of Photogrammetry and Remote Sensing, 161, 135-146, doi:10.1016/j.isprsjprs.2020.01.017.
Köehler, P., C. Frankenberg, T.S. Magney, L. Guanter, J. Joiner, and J. Landgraf (2018), Global retrievals of solar-induced chlorophyll fluorescence with TROPOMI: First results and intersensor comparison to OCO-2, Geophys. Res. Lett., 45, 10,456-10,463, doi:10.1029/2018GL079031.
Köhler, P., L. Guanter, H. Kobayashi, S. Walther, and W. Yang (2018), Assessing the potential of sun-induced fluorescence and the canopy T scattering coefficient to track large-scale vegetation dynamics in Amazon forests, Remote Sensing of Environment, 204, 769-785, doi:10.1016/j.rse.2017.09.025.
Konings, A.G., A.A. Bloom, J. Liu, N. Parazoo, D. Schimel, and K.W. Bowman (2019), Global satellite-driven estimates of heterotrophic respiration, Biogeosciences, 16, 2269-2284, doi:10.5194/bg-16-2269-2019.
Kuhlmann, G., G. Broquet, J. Marshall, V. Clément, A. Löscher, Y. Meijer, and D. Brunner (2019), Detectability of CO2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO2 Monitoring (CO2M) mission, Atmos. Meas. Tech., doi:10.5194/amt-2019-180.
Labzovskii, L.D., S.-J. Jeong, and N. Parazoo (2019), Working towards confident spaceborne monitoring of carbon emissions from T cities using Orbiting Carbon Observatory-2 ⁎, Remote Sensing of Environment, 233, 111359, doi:10.1016/j.rse.2019.111359.
Laskar, A.H., L.-C. Lin, X. Jiang, and M.-C. Liang (2018), Distribution of CO2 in Western Pacific, Studied Using Isotope Data Made in Taiwan, OCO-2 Satellite Retrievals, and CarbonTracker Products, and CarbonTracker products. Earth and Space Science, 5, 827-842, doi:10.1029/2018EA000415.
Li, X., and J.F. Xiao (2020), Global climatic controls on interannual variability of ecosystem productivity: Similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index, Agricultural and Forest Meteorology, 288, Unsp, 108018, 108018, doi:10.1016/j.agrformet.2020.108018.
Li, X., J. Xiao, B. He, M.A. Arain, and J. Beringer (2019), Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations, Primary Research Article, doi:10.1111/gcb.14297.
Li, X., J. Xiao, and A. global (2019), 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 11, 517, doi:10.3390/rs11050517.
Liang(, Han(, Gong(, Yang(, and Xiang( (2017), Comparison of Global XCO2 Concentrations From OCO-2 With TCCON Data in Terms of Latitude Zones, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 10, 2491-2498, doi:10.1109/JSTARS.2017.2650942.
Liao, E., L. Resplandy, J. Liu, and K.W. Bowman (2021), Future weakening of the ENSO ocean carbon buffer under anthropogenic forcing, Geophys. Res. Lett., 48, e2021GL094021, doi:10.1029/2021GL094021.
Lin, X., B. Chen, H. Zhang, F. Wang, J. Chen, L. Guo, and Y. Kong (2019), Effects of the Temporal Aggregation and Meteorological Conditions on the Parameter Robustness of OCO-2 SIF-Based and LUE-Based GPP Models for Croplands, Remote Sensing, 11, 1328, doi:10.3390/rs11111328.
Liu, J. (2018), Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations, Environmental Research Letters, 13, 095003.
Liu, J., and K. Bowman (2016), A method for independent validation of surface fluxes from atmospheric inversion: Application to CO2, Geophys. Res. Lett., 43, 3502-3508, doi:10.1002/2016GL067828.
Liu, J., K. Bowman, D. Schimel, N. Parazoo, Z. Jiang, M. Lee, A. Bloom, D. Wunch, C. Frankenberg, Y. Sun, C. O'Dell, K. Gurney, D. Menemenlis, and M. Gierach (2017), R ES E A RC H | R E MO T E S E NS I NG, Science, 358, eaam5690, doi:10.1126/science.aam5690.
Liu, J., K.W. Bowman, and M. Lee (2016), Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D-Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System-Chem model and the observation impact diagnostics from the LETKF, J. Geophys. Res., 121, 13,066-13,087, doi:10.1002/2016JD025100.