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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 1
Atmos. Chem. Phys., 17, 143-157, 2017
https://doi.org/10.5194/acp-17-143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 143-157, 2017
https://doi.org/10.5194/acp-17-143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Jan 2017

Research article | 03 Jan 2017

Study of the footprints of short-term variation in XCO2 observed by TCCON sites using NIES and FLEXPART atmospheric transport models

Dmitry A. Belikov1,2,3,a, Shamil Maksyutov1, Alexander Ganshin3,4, Ruslan Zhuravlev3,4, Nicholas M. Deutscher5,6, Debra Wunch7, Dietrich G. Feist8, Isamu Morino1, Robert J. Parker9, Kimberly Strong10, Yukio Yoshida1, Andrey Bril11, Sergey Oshchepkov11, Hartmut Boesch9, Manvendra K. Dubey12, David Griffith5, Will Hewson9, Rigel Kivi13, Joseph Mendonca10, Justus Notholt6, Matthias Schneider14, Ralf Sussmann15, Voltaire A. Velazco5, and Shuji Aoki16 Dmitry A. Belikov et al.
  • 1National Institute for Environmental Studies, Tsukuba, Japan
  • 2National Institute of Polar Research, Tokyo, Japan
  • 3Faculty of Mechanics and Mathematics, Tomsk State University, Tomsk, Russia
  • 4Central Aerological Observatory, Dolgoprudny, Russia
  • 5Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
  • 6Institute of Environmental Physics, University of Bremen, Bremen, Germany
  • 7California Institute of Technology, Pasadena, CA, USA
  • 8Max Planck Institute for Biogeochemistry, Jena, Germany
  • 9Earth Observation Science, University of Leicester, Leicester, UK
  • 10Department of Physics, University of Toronto, Toronto, ON, Canada
  • 11Institute of Physics of the National Academy of Sciences, Minsk, Belarus
  • 12Earth System Observations, Los Alamos National Laboratory, Los Alamos, New Mexico
  • 13Finnish Meteorological Institute, Sodankylä, Finland
  • 14Agencia Estatal de Meteorología (AEMET), CIAI, Santa Cruz de Tenerife, Spain
  • 15Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
  • 16Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Sendai, Japan
  • acurrently at: Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan

Abstract. The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier transform spectrometers (FTSs) that record near-infrared (NIR) spectra of the sun. From these spectra, accurate and precise observations of CO2 column-averaged dry-air mole fractions (denoted XCO2) are retrieved. TCCON FTS observations have previously been used to validate satellite estimations of XCO2; however, our knowledge of the short-term spatial and temporal variations in XCO2 surrounding the TCCON sites is limited.

In this work, we use the National Institute for Environmental Studies (NIES) Eulerian three-dimensional transport model and the FLEXPART (FLEXible PARTicle dispersion model) Lagrangian particle dispersion model (LPDM) to determine the footprints of short-term variations in XCO2 observed by operational, past, future and possible TCCON sites. We propose a footprint-based method for the collocation of satellite and TCCON XCO2 observations and estimate the performance of the method using the NIES model and five GOSAT (Greenhouse Gases Observing Satellite) XCO2 product data sets. Comparison of the proposed approach with a standard geographic method shows a higher number of collocation points and an average bias reduction up to 0.15ppm for a subset of 16 stations for the period from January 2010 to January 2014. Case studies of the Darwin and Reunion Island sites reveal that when the footprint area is rather curved, non-uniform and significantly different from a geographical rectangular area, the differences between these approaches are more noticeable. This emphasises that the collocation is sensitive to local meteorological conditions and flux distributions.

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