Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites
posted on 2016-12-16, 11:14authored byS. Oshchepkov, A. Bril, T. Yokota, P. O. Wennberg, N. M. Deutscher, D. Wunch, G. C. Toon, Y. Yoshida, C. W. O'Dell, D. Crisp, C. E. Miller, C. Frankenberg, A. Butz, I. Aben, S. Guerlet, O. Hasekamp, Hartmut Boesch, Austin Cogan, Robert Parker, D. Griffith, R. Macatangay, J. Notholt, R. Sussmann, M. Rettinger, V. Sherlock, J. Robinson, E. Kyro, P. Heikkinen, D. G. Feist, I. Morino, N. Kadygrov, D. Belikov, S. Maksyutov, T. Matsunaga, O. Uchino, H. Watanabe
This report is the second in a series of companion papers describing the effects of
atmospheric light scattering in observations of atmospheric carbon dioxide (CO2) by the
Greenhouse gases Observing SATellite (GOSAT), in orbit since 23 January 2009. Here we
summarize the retrievals from six previously published algorithms; retrieving columnaveraged
dry air mole fractions of CO2 (XCO2) during 22 months of operation of GOSAT
from June 2009. First, we compare data products from each algorithm with ground-based
remote sensing observations by Total Carbon Column Observing Network (TCCON). Our
GOSAT-TCCON coincidence criteria select satellite observations within a 5 radius of 11
TCCON sites. We have compared the GOSAT-TCCON XCO2 regression slope, standard
deviation, correlation and determination coefficients, and global and station-to-station
biases. The best agreements with TCCON measurements were detected for NIES 02.xx and
RemoTeC. Next, the impact of atmospheric light scattering on XCO2 retrievals was
estimated for each data product using scan by scan retrievals of light path modification with
the photon path length probability density function (PPDF) method. After a cloud pre-
filtering test, approximately 25% of GOSAT soundings processed by NIES 02.xx, ACOS
B2.9, and UoL-FP: 3G and 35% processed by RemoTeC were found to be contaminated by
atmospheric light scattering. This study suggests that NIES 02.xx and ACOS B2.9
algorithms tend to overestimate aerosol amounts over bright surfaces, resulting in an
underestimation of XCO2 for GOSAT observations. Cross-comparison between algorithms
shows that ACOS B2.9 agrees best with NIES 02.xx and UoL-FP: 3G while RemoTeC
XCO2 retrievals are in a best agreement with NIES PPDF-D.
Funding
GOSAT is a joint effort of the Japan Aerospace
Exploration Agency (JAXA), the National Institute for Environmental
Studies (NIES), and the Ministry of the Environment (MOE), Japan. Part of
this work on ACOS B2.9 was performed at the Jet Propulsion Laboratory,
California Institute of Technology, under contract with NASA. GOSAT
spectra were kindly provided to the California Institute of Technology
through a memorandum of understanding between JAXA and NASA. U.
S. funding for TCCON is provided by NASA’s Terrestrial Ecology Program
(grant number NNX11AG01G), the Orbiting Carbon Observatory Program,
the Atmospheric CO2 Observations from Space (ACOS) Program, and the
Department of Energy/Atmospheric Radiation Measurement (DOE/ARM)
Program. The Darwin TCCON site was built at Caltech with funding from
the OCO project and is operated by the University of Wollongong, with
travel funds for maintenance and equipment costs funded by the OCO-2
project. We acknowledge funding to support Darwin and Wollongong from
the Australian Research Council, Projects LE0668470, DP0879468,
DP110103118, and LP0562346. Lauder TCCON measurements are funded
by New Zealand Foundation of Research Science and Technology contracts
C01X0204 and CO1X0406. We acknowledge financial support of the Bia-
łystok and Orléans TCCON sites from the Senate of Bremen and EU projects
IMECC, GEOMON and InGOS as well as maintenance and logistical
work provided by AeroMeteo Service (Białystok) and the RAMCES team at
LSCE (Gif-sur-Yvette, France) and additional operational funding from the
NIES GOSAT project. The Garmisch TCCON team acknowledges funding
by the EC-INGOS project. Development of RemoTeC was partly funded by
ESA through the GHG-CCI project (S. Guerlet) and by Deutsche Forschungsgemeinschaft
(DFG) through grant BU2599/1-1 (A. Butz). The
JRA-25/JCDAS data sets used for atmospheric transport modeling were
provided by the cooperative, long-term reanalysis project by the Japan
Meteoro
History
Citation
Journal of Geophysical Research: Atmospheres, 2013, 118 (3), pp. 1493-1512 (20)
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy