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The Total Carbon Column Observing Network

Open access
Wunch, Debra, Toon, Geoffrey C., Blavier, Jean-François L., Washenfelder, Rebecca A., Notholt, Justus, Connor, Brian J., Griffith, David W. T., Sherlock, Vanessa, Wennberg, Paul O.·2011·Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Abstract

A global network of ground-based Fourier transform spectrometers has been founded to remotely measure column abundances of CO 2 , CO, CH 4 , N 2 O and other molecules that absorb in the near-infrared. These measurements are directly comparable with the near-infrared total column measurements from space-based instruments. With stringent requirements on the instrumentation, acquisition procedures, data processing and calibration, the Total Carbon Column Observing Network (TCCON) achieves an accuracy and precision in total column measurements that is unprecedented for remote-sensing observations (better than 0.25% for CO 2 ). This has enabled carbon-cycle science investigations using the TCCON dataset, and allows the TCCON to provide a link between satellite measurements and the extensive ground-based in situ network.

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Metadata

Authors
Wunch, D., Toon, G. C., Blavier, J.-F. L., Washenfelder, R. A., Notholt, J., Connor, B. J., Griffith, D. W. T., Sherlock, V., & Wennberg, P. O.
Venue
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Published
2011-05-28
Volume
369
Issue
1943
Pages
2087-2112
ISSN
  • 1364-503X (ISSN-L)
  • 1471-2962
OpenAlex
W2110465139
Cited by
1,309
References
2
FWCI
45.24
Type
journal article
Language
en
Open access
green
Licence
royalsociety.org/journals/ethics-policies/data-sharing-mining/ (tdm)

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CoChat. (2026). Citation check: The Total Carbon Column Observing Network. https://app.cochat.ai/papers/10.1098/rsta.2010.0240
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Wunch, D., Toon, G. C., Blavier, J.-F. L., Washenfelder, R. A., Notholt, J., Connor, B. J., Griffith, D. W. T., Sherlock, V., & Wennberg, P. O. (2011). The Total Carbon Column Observing Network. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.2010.0240

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.