The Total Carbon Column Observing Network's GGG2020 Data Version: Data Quality, Comparison with GGG2014, and Future Outlook
- Creators
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Wunch, D.1
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Laughner, J.2
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Toon, G. C.2
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Roehl, C. M.3
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Wennberg, P. O.3
- Mill´an, Luis F.2
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Deutscher, N. M.4
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Warneke, T.5
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Pollard, David Frank6
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Feist, D. G.7, 8, 9
- Strong, K.1
- McGee, Erin1
- Roche, S.10, 11
- Mendonca, J.12
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Kivi, R.13
- Heikkinen, P.13
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Hase, F.14
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Sha, M. K.15
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De Mazière, M.15
- Sussmann, R.14
- Rettinger, M.14
- Pak, Nasrin Mostafavi14
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Morino, Isamu16
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Velazco, Voltaire A.17
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Griffith, D. W.T.4
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Notholt, J.5
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Petri, C.5
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Buschmann, M.5
- Hachmeister, Jonas5
- Doniki, Stamatia18
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Weidmann, Damien18
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Rousogenous, Constantina19
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Vrekoussis, Mihalis5
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Ohyama, H.16
- Oh, Y.-S.20
- García, O. E.21
- Robinson, John6
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Dubey, Manvendra22
- Mingqiang, Zhou15
- Wang, Pucai
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Té, Y.23
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Jeseck, P.23
- Iraci, Laura24
- Podolske, James24
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Shiomi, K.25
- Kawakami, S.25
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1.
University of Toronto
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2.
Jet Propulsion Lab
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3.
California Institute of Technology
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4.
University of Wollongong
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5.
University of Bremen
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6.
National Institute of Water and Atmospheric Research
- 7. Ludwig-Maximilians-Universität München, Lehrstuhl für Physik der Atmosphäre, Munich (DE)
- 8. Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen (DE)
- 9. Max Planck Institute for Biogeochemistry, Jena (DE)
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10.
Harvard University
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11.
Environmental Defense Fund
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12.
Environment and Climate Change Canada
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13.
Finnish Meteorological Institute
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14.
Karlsruhe Institute of Technology
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15.
Royal Belgian Institute for Space Aeronomy
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16.
National Institute of Environmental Research
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17.
German Meteorological Service
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18.
Science and Technology Facilities Council
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19.
Cyprus Institute
- 20. National Institute of Meteorological Sciences, Seogwipo-si (KR)
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21.
Agencia Estatal de Meteorología
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22.
Los Alamos National Laboratory
- 23. Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA), Sorbonne Université, CNRS, Paris (FR)
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24.
Ames Research Center
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25.
Japan Aerospace Exploration Agency
Description
New atmospheric gas retrievals using the GGG2020 version of the Total Carbon Column Observing Network (TCCON) dataset are significantly improved compared with the previous GGG2014 data version. The GGG2020 retrievals have lower variability across the network, better spectral fits, and smaller biases. The exception to this is XCH4 , which is, on average across the network, 5.3 ppb lower in GGG2020 than in GGG2014, a difference we mostly attribute to the a priori profiles used to perform the scaling. We discuss the remaining biases and corrections, the TCCON approach of identifying, quantifying, and minimizing biases, and suggest future work to further minimize the biases. The GGG2020 TCCON data are available from the TCCON archive at http://tccondata.org.