Baker F.,H. Bösch C. Doney, D. O'Brien, D. S. Schimel, 2010: Carbon source/sink information provided by column CO2 measurements from the Orbiting Carbon Observatory. Atmos. Chem. Phys.,10, 4145-4165. https://doi.org/10.5194/acp-10-4145-2010.
Bösch, H., D. Baker, B. Connor, D. Crisp, C. Miller, 2011: Global characterization of CO2 column retrievals from shortwave-infrared satellite observations of the orbiting carbon observatory-2 mission. Remote Sensing,3, 270-304, https://doi.org/10.3390/rs3020270.
Cai Z. N.,Y. Liu, and D. X. Yang, 2014: Analysis of XCO2 retrieval sensitivity using simulated Chinese carbon satellite (TanSat) measurements. Science China Earth Sciences,57, 1919-1928, https://doi.org/10.1007/s11430-013-4707-1.
Chen X.,D. X. Yang, Z. N. Cai, Y. Liu, and R. Spurr, 2017a: Aerosol retrieval sensitivity and error analysis for the cloud and aerosol polarimetric imager on board TanSat: The effect of multi-angle measurement. Remote Sensing.,9, 183, https://doi.org/10.3390/rs9020183.
Chen X.,J. Wang, Y. Liu, X. G. Xu, Z. N. Cai, D. X. Yang, C. X. Yan, and L. Feng, 2017b: Angular dependence of aerosol information content in capi/tansat observation over land: Effect of polarization and synergy with a-train satellites. Remote Sensing of Environment.,196, 163-177. https://doi.org/10.1016/j.rse.201705007
Crisp, D., Coauthors, 2017: The on-orbit performance of the orbiting carbon observatory-2 (OCO-2) instrument and its radiometrically calibrated products. Atmospheric Measurement Techniques.,10, 59-81. https://doi.org/10.5194/amt-10-59-2017.
Eldering, A., Coauthors, 2016: The orbiting carbon observatory-2: First 18 months of science data products. Atmospheric Measurement Techniques Discussions.,10, 549-563. https://doi.org/10.5194/amt-10-549-2017.
Feng L.,P. I. Palmer, H. Bösch S. Dance, 2009: Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble kalman filter. Atmos. Chem. Phys.,9, 2619-2633. https://doi.org/10.5194/acp-9-2619-2009.
Kuze, A., Coauthors, 2014: Long-term vicarious calibration of GOSAT short-wave sensors: Techniques for error reduction and new estimates of radiometric degradation factors. IEEE Trans. Geosci. Remote Sens., 52, 3991-4004. https://doi.org/10.1109/TGRS.2013.2278696.
Li, Z. G.,Coauthors, 2017: Prelaunch spectral calibration of a carbon dioxide spectrometer. Measurement Science and Technology.,28, 065801, https://doi.org/10.1088/1361-6501/aa6507.
Liu Y.,Z. N. Cai, D. X. Yang, M. Z. Duan, and D. Lü, 2013a: Optimization of the instrument configuration for TanSat CO2 spectrometer. Chinese Science Bulletin, 58, 2787- 2789. (in Chinese)
Liu Y.,D. X. Yang, and Z. N. Cai, 2013b: A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data. Chinese Science Bulletin,58, 1520-1523, https://doi.org/10.1007/s11434-013-5680-y.
Wang Q.,Z. D. Yang, and Y. M. Bi, 2014: Spectral parameters and signal-to-noise ratio requirement for TanSat hyper spectral remote sensor to measure atmospheric CO2. Remote Sensing of the Atmosphere,Clouds, and Precipitation, https://doi.org/10.1117/12.2067572.
Wang X.,Z. Guo, Y. P. Huang, H. J. Fan, and W. B. Li W, 2017: A cloud detection scheme for the Chinese carbon dioxide observation satellite (TANSAT). Adv. Atmos. Sci., 34(1), 16-25.https://doi.org/10.1007/s00376-016-6033-y.
Yang D. X.,Y. Liu, Z. N. Cai, J. B. Deng, J. Wang, and X. Chen, 2015: An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations. Science Bulletin.,60, 2063-2066. httpS://doi.org/10.1007/s11434-015-0953-2.
Yang D. X.,H. F. Zhang, Y. Liu, B. Z. Chen, Z. N. Cai, and D. R. Lü, 2017: Monitoring carbon dioxide from space: Retrieval algorithm and flux inversion based on GOSAT data and using carbontracker-china. Adv. Atmos. Sci.,34, 965-976. https://doi.org/10.1007/s00376-017-6221-4.
Yokota T.,Y. Yoshida, N. Eguchi, Y. Ota, T. Tanaka, H. Watanabe, and S. Maksyutov, 2009: Global concentrations of CO2 and CH4 retrieved from GOSAT: First preliminary results. Sola,5, 160-163, https://doi.org/10.2151/sola.2009-041.
Yoshida, Y., Coauthors, 2013: Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCO4 and their validation using TCCON data. Atmospheric Measurement Techniques,6, 1533-1547, https://doi.org/10.5194/amt-6-1533-2013.
Zhang H.,Y. Q. Zheng, C. Lin, W. Q. Wang, Q. Wang, and S. Li, 2017: Laboratory spectral calibration of TanSat and the influence of multiplex merging of pixels. Int. J. Remote Sens.,38, 3800-3816. https://doi.org/10.1080/01431161.20171306142