The Total Carbon Column Observing Network

By Debra Wunch, Geoffrey C. Toon, J. Blavier, R. Washenfelder, J. Notholt, Brian J. Connor, D. Griffith, V. Sherlock, Paul O. Wennberg. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2011

1,211 citations recorded by the source corpus.

A global network of ground-based Fourier transform spectrometers has been founded to remotely measure column abundances of CO2, CO, CH4, N2O 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 CO2). 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.

Subfields: Atmospheric Science, Global and Planetary Change, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/7d4dbc389b8781521595670b6e0fbffaf03786cc

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Citations in the corpus

Methane observations from the Greenhouse Gases Observing SATellite: Comparison to ground‐based TCCON data and model calculations (2011, background): “[15] TCCON is a global network of ground‐based high resolution Fourier Transform Spectrometers recording direct solar spectra in the near‐infrared spectral region [Wunch et al., 2011].”
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, methodology): “The parametric bias correction has the form of a multiple linear regression, following Wunch et al. (2011a): CP = ∑ i ci(pi −pi,ref), (7) Atmos.”
Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements (2013, neutral): “0 [Frankenberg et al., 2011], as well as independent validation against Total Carbon Column Observing Network (TCCON) Fourier transform spectrometer (FTS) measurements [Notholt et al., 2012; Wunch et al., 2011], suggests that the IMAPv5.”
How bias correction goes wrong: measurement of XCO2 affected by erroneous surface pressure estimates (2019, methodology): “A multivariate regression is performed between spurious XCO2 variability and the parameters that account for the largest variance in the data to correct for these errors (Wunch et al., 2011b; Mandrake et al., 2015; O’Dell et al., 2018).”
Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations (2020, methodology): “…data (GOSAT) and independent evaluation data including TCCON total column measurements (https://tccondata. org/, last access: 22 June 2020) (Wunch et al., 2011) and NOAA surface measurements (https://www.esrl.noaa.gov/ gmd/ccgg/flask.php, last access: 22 June 2020) (Dlugokencky et al.,…”
Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations (2012, background): “[27] The Total Carbon Column Observing Network (TCCON) [Wunch et al., 2010, 2011] is a network of very high quality ground-based FTIR systems recording solar absorption spectra in the near infrared spectral region (3800– 9000 cm 1).”
Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms (2012, methodology): “[ 22 ] To validate our retrievals, we use methane and carbon dioxide column mixing ratio measurements provided through the Total Carbon Column Observing Network (TCCON) [ Wunch et al. , 2011].”
Update of the HITRAN collision-induced absorption section (2019, positive): “These spectra have been obtained in a multi-spectrum ﬁ tting approach that was ﬁ tted to laboratory data in the P-branch, but with CIA extracted from the total carbon column observing network (TCCON) atmospheric data for the R-branch (Wunch et al., 2011a).”
The ACOS CO 2 retrieval algorithm – Part 1: Description and validation against synthetic observations (2011, methodology): “It is worth noting that filtering on retrieved surface pressure from the full ACOS algorithm is also effective at removing bad retrievals (Wunch et al., 2011b), but is actually slightly less sensitive than using the surface pressure retrieved by the cloud-screening algorithm.”
Frequency-comb-based remote sensing of greenhouse gases over kilometer air paths (2014, neutral): “The DCS spectra provide a direct means to validate current and future spectral databases and absorption models since the spectra are free from instrument distortions and the DCS horizontal path avoids the atmospheric modeling that is required with up-looking total column measurements [7,14].”
Role of continental recycling in intraseasonal variations of continental moisture as deduced from model simulations and water vapor isotopic measurements (2013, methodology): “We selected four TCCON sites [Wunch et al., 2011] and two MUSICA sites [Schneider et al., 2010a, 2010b] that lie over land and with a significant continental influence: Park Falls, Lamont and Pasadena (United States), Bremen (Germany) for TCCON and Jungfraujoch (Switzerland), Karlsruhe (Germany)…”