Abstract
Based on the optimal estimation method, a satellite XCO2 retrieval algorithm was constructed by combining LBLRTM with VLIDORT. One-year GOSAT/TANSO observations over four TCCON stations were tested by our algorithm, and retrieval results were compared with GOSAT L2B products and ground-based FTS measurements. Meanwhile, the influence of CO2 line mixing effect on retrieval was estimated, and the research showed that neglecting CO2 line mixing effect could result in approximately 0.25% XCO2 underestimation. The accuracy of XCO2 retrievals was similar to GOSAT L2B products at cloud-free footprints with aerosol optical depth less than 0.3, and 1% accuracy of XCO2 retrievals can be reached based on the validation result with TCCON measurements.
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References
Aben I, Hasekamp O, Hartmann W. 2007. Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth’s atmosphere. J Quant Spectrosc Ra, 104: 450–459
Chevallier F, Deutscher N M, Conway T J, et al. 2011. Global CO2 fluxes inferred from surface air-sample measurements and from TCCON retrievals of the CO2 total column. Geophys Res Lett, 38, doi: 10.1029/2011GL049899
Clough S A, Shephard M W, Mlawer E J, et al. 2005. Atmospheric radiative transfer modeling: A summary of the AER codes. J Quant Spectrosc Ra, 91: 233–244
Crisp D, Bosch H, Brown L, et al. 2012. OCO (Orbiting Carbon Observatory)-2 level 2 full physics retrieval algorithm theoretical basis. Technical Report. OCO D-65488, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, version 1.0
GLOBALVIEW-CO2. 2006. Cooperative atmospheric data integration project carbon dioxide. CD-ROM, NOAA CMDL, Boulder, Colorado
Guerlet S, Butz A, Schepers D, et al. 2013. Impact of aerosol and thin cirrus on retrieving and validating XCO2 from GOSAT shortwave infrared measurements. J Geophys Res, 118: 4887–4905
Hartmann J M, Tran H, Toon G C. 2009. Influence of line mixing on the retrievals of atmospheric CO2 from spectra in the 1.6 and 2.1 μm regions. Atmos Chem Phys, 9: 7303–7312
Herbin H, Labonnote L C, Dubuisson P. 2013. Multispectral information from TANSO-FTS instrument-Part 1: Application to greenhouse gases (CO2 and CH4) in clear sky conditions. Atmos Meas Tech, 6: 3301–3311
IPCC. 2007. Intergovernmental panel on climate change (IPCC), climate change 2007. The Physical Science Basis: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. 996–999
Ishida H, Nakajima T Y. 2009. Development of an unbiased cloud detection algorithm for a space-borne multispectral imager. J Geophys Res, 114, doi: 10.1029/2008JD010710
Kuze A, Suto H, Nakajima M, et al. 2009. Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse gases Observing Satellite for greenhouse gases monitoring. Appl Optics, 48: 6716–6733
Lamouroux J, Tran H, Laraia A L, et al. 2010. Updated database plus software for line-mixing in CO2 infrared spectra and their test using laboratory spectra in the 1.5–2.3 μm region. J Quant Spectrosc Ra, 111: 2321–2331
Liu Y, Yang D X, Cai Z N. 2013. A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data. Chin Sci Bull, 58: 1520–1523
Messerschmidt J, Macatangay R, Notholt J, et al. 2010. Side by side measurements of CO2 by ground-based Fourier transform spectrometry (FTS). Tellus Ser B-Chem Phys Meteorol, 62: 749–758
O’Dell C W, Connor B, Bösch H, et al. 2012. The ACOS CO2 retrieval algorithm—Part 1: Description and validation against synthetic observations. Atmos Meas Tech, 5: 99–121
Pickett-Heaps C A, Rayner P J, Law R M, et al. 2011. Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models. J Geophys Res, 116, doi: 10.1029/2010JD014887
Rodgers C D. 2000. Inverse methods for atmospheric sounding: Theory and practice. World Scientific Publishing. 85
Rothman L S, Gordon I E, Barbe A, et al. 2009. The HITRAN 2008 molecular spectroscopic database. J Quant Spectrosc Ra, 110: 533–572
Spurr R J D. 2006. VLIDORT: A linearized pseudo-spherical vector discrete ordinate radiative transfer code for forward model and retrieval studies in multilayer multiple scattering media. J Quant Spectrosc Ra, 102: 316–342
Wunch D, Toon G C, Blavier J F L, et al. 2011. The total carbon column observing network. Philos Trans R Soc A-Math Phys Eng Sci, 369: 2087–2112
Yokota T, Yoshida Y, Eguchi N, et al. 2009. Global concentrations of CO2 and CH4 retrieved from GOSAT: First preliminary results. Sola, 5: 160–163
Yoshida Y, Ota Y, Eguchi N, et al. 2011. Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite. Atmos Meas Tech, 4: 717–734
Yoshida Y, Kikuchi N, Morino I, et al. 2013. Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data. Atmos Meas Tech, 6: 1533–1547
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Zhou, M., Zhang, X., Wang, P. et al. XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation. Sci. China Earth Sci. 58, 1191–1197 (2015). https://doi.org/10.1007/s11430-015-5080-z
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DOI: https://doi.org/10.1007/s11430-015-5080-z