Articles | Volume 14, issue 1
https://doi.org/10.5194/gi-14-113-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-14-113-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 May 2025
Research article |
| 09 May 2025
| 09 May 2025
The Harwell TCCON observatory
Damien Weidmann
CORRESPONDING AUTHOR
STFC Rutherford Appleton Laboratory, Space Science and Technology Department, Harwell Campus, Didcot, Oxfordshire, OX11 0QX, UK
Richard Brownsword
STFC Rutherford Appleton Laboratory, Space Science and Technology Department, Harwell Campus, Didcot, Oxfordshire, OX11 0QX, UK
Stamatia Doniki
STFC Rutherford Appleton Laboratory, Space Science and Technology Department, Harwell Campus, Didcot, Oxfordshire, OX11 0QX, UK
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Cited articles
Abrams, M. C., Toon, G. C., and Schindler, R. A.: Practical example of the correction of Fourier-transform spectra for detector nonlinearity, Appl. Optics, 33, 6307, https://doi.org/10.1364/AO.33.006307, 1994. a
Babenhauserheide, A., Hase, F., and Morino, I.: Net CO2 fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes, Atmos. Meas. Tech., 13, 2697–2710, https://doi.org/10.5194/amt-13-2697-2020, 2020. a
Bardoux, A., Ledot, A., Tauziede, L., and Chevallier, G.: Low flux NGP characterisation for microcarb application, in: International Conference on Space Optics – ICSO 2018, 9–12 October 20218, Chania, Greece, edited by: Karafolas, N., Sodnik, Z., and Cugny, B., SPIE, ISBN 9781510630772, p. 137, https://doi.org/10.1117/12.2536057, 2019. a
Brownsword, R., Doniki, S., and Weidmann, D.: Harwell TCCON Site accreditation application, Zenodo [report], https://doi.org/10.5281/zenodo.7950047, 2021. a, b, c
Buschmann, M.: IFS125 preview, GitHub [code], https://github.com/mbuschmann/ifs125preview (last access: 7 May 2025), 2024. a
Byrne, B., Liu, J., Bowman, K. W., Pascolini-Campbell, M., Chatterjee, A., Pandey, S., Miyazaki, K., van der Werf, G. R., Wunch, D., Wennberg, P. O., Roehl, C. M., and Sinha, S.: Carbon emissions from the 2023 Canadian wildfires, Nature, 633, 835–839, https://doi.org/10.1038/s41586-024-07878-z, 2024. a
Cansot, E., Pistre, L., Castelnau, M., Landiech, P., Georges, L., Gaeremynck, Y., and Bernard, P.: MicroCarb instrument, overview and first results, in: International Conference on Space Optics – ICSO 2022, 3–7 October 2022, Dubrovnik, Croatia, edited by: Minoglou, K., Karafolas, N., and Cugny, B., SPIE, ISBN 9781510668034, p. 112, https://doi.org/10.1117/12.2690330, 2023. a
CEDA TCCON archive: Total Carbon Column Observing Network (TCCON), CEDA TCCON archive, https://catalogue.ceda.ac.uk/uuid/3bfb7dfe4d354fb99864ae1d3de092c6/ (last access: 6 May 2025), 2024. a
Corredera, P., Hernanz, M. L., González-Herráez, M., and Campos, J.: Anomalous non-linear behaviour of InGaAs photodiodes with overfilled illumination, Metrologia, 40, S150–S153, https://doi.org/10.1088/0026-1394/40/1/334, 2003. a
Courrèges-Lacoste, G. B., Pachot, C., Ouslimani, H., Durand, Y., Pasquet, A., Chanumolu, A., Fernandez, M. M., Caleno, M., Bastirmaci, T., Birtwhistle, A., Meijer, Y., and Fernandez, V.: Progress on the development of the Copernicus CO2M mission, in: Sensors, Systems, and Next-Generation Satellites XXVIII, edited by: Kimura, T., Babu, S. R., and Hélière, A., SPIE, ISBN 9781510680920, p. 28, https://doi.org/10.1117/12.3033794, 2024. a
Frey, M., Sha, M. K., Hase, F., Kiel, M., Blumenstock, T., Harig, R., Surawicz, G., Deutscher, N. M., Shiomi, K., Franklin, J. E., Bösch, H., Chen, J., Grutter, M., Ohyama, H., Sun, Y., Butz, A., Mengistu Tsidu, G., Ene, D., Wunch, D., Cao, Z., Garcia, O., Ramonet, M., Vogel, F., and Orphal, J.: Building the COllaborative Carbon Column Observing Network (COCCON): long-term stability and ensemble performance of the EM27/SUN Fourier transform spectrometer, Atmos. Meas. Tech., 12, 1513–1530, https://doi.org/10.5194/amt-12-1513-2019, 2019. a
Geddes, A., Robinson, J., and Smale, D.: Python-based dynamic scheduling assistant for atmospheric measurements by Bruker instruments using OPUS, Appl. Opt., 57, 689–691, https://doi.org/10.1364/AO.57.000689, 2018. a
Geibel, M. C., Gerbig, C., and Feist, D. G.: A new fully automated FTIR system for total column measurements of greenhouse gases, Atmos. Meas. Tech., 3, 1363–1375, https://doi.org/10.5194/amt-3-1363-2010, 2010. a
Gisi, M., Hase, F., Dohe, S., and Blumenstock, T.: Camtracker: a new camera controlled high precision solar tracker system for FTIR-spectrometers, Atmos. Meas. Tech., 4, 47–54, https://doi.org/10.5194/amt-4-47-2011, 2011. a, b
Griffith, D. and Laughner, J.: Bug #349: I2S fix for HR125 firmware bug, TCCON software development platform, Caltech, https://gggbugs.gps.caltech.edu/ (login required, last access: 13 February 2025), 2024. a
Hase, F., Blumenstock, T., and Paton-Walsh, C.: Analysis of the instrumental line shape of high-resolution Fourier transform IR spectrometers with gas cell measurements and new retrieval software, Appl. Optics, 38, 3417, https://doi.org/10.1364/AO.38.003417, 1999. a
Hase, F., Drouin, B. J., Roehl, C. M., Toon, G. C., Wennberg, P. O., Wunch, D., Blumenstock, T., Desmet, F., Feist, D. G., Heikkinen, P., De Mazière, M., Rettinger, M., Robinson, J., Schneider, M., Sherlock, V., Sussmann, R., Té, Y., Warneke, T., and Weinzierl, C.: Calibration of sealed HCl cells used for TCCON instrumental line shape monitoring, Atmos. Meas. Tech., 6, 3527–3537, https://doi.org/10.5194/amt-6-3527-2013, 2013. a, b, c
Herkommer, B., Alberti, C., Castracane, P., Chen, J., Dehn, A., Dietrich, F., Deutscher, N. M., Frey, M. M., Groß, J., Gillespie, L., Hase, F., Morino, I., Pak, N. M., Walker, B., and Wunch, D.: Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard, Atmos. Meas. Tech., 17, 3467–3494, https://doi.org/10.5194/amt-17-3467-2024, 2024. a
Jacobs, N., Simpson, W. R., Graham, K. A., Holmes, C., Hase, F., Blumenstock, T., Tu, Q., Frey, M., Dubey, M. K., Parker, H. A., Wunch, D., Kivi, R., Heikkinen, P., Notholt, J., Petri, C., and Warneke, T.: Spatial distributions of
Keppel-Aleks, G., Toon, G. C., Wennberg, P. O., and Deutscher, N. M.: Reducing the impact of source brightness fluctuations on spectra obtained by Fourier-transform spectrometry, Appl. Optics, 46, 4774, https://doi.org/10.1364/AO.46.004774, 2007. a
Kivi, R. and Heikkinen, P.: Fourier transform spectrometer measurements of column CO2 at Sodankylä, Finland, Geosci. Instrum. Method. Data Syst., 5, 271–279, https://doi.org/10.5194/gi-5-271-2016, 2016. a
Kleinert, A.: Correction of detector nonlinearity for the balloonborne Michelson Interferometer for Passive Atmospheric Sounding, Appl. Optics, 45, 425, https://doi.org/10.1364/AO.45.000425, 2006. a
Lan, X., Tans, P., and Thoning, K.: Trends in globally-averaged CO2 determined from NOAA Global Monitoring Laboratory measurements, Global Monitoring Laboratory, NOAA, https://doi.org/10.15138/9N0H-ZH07, 2024. a, b
Latter, B., Siddans, R., Thomas, G., and Kerridge, B.: RAL Space Remote Rensing Group data vizualization portal, UK Research and Innovation, http://rsg.rl.ac.uk/vistool/?cal=2023-05-28&proj=nimsmc+nimsmb&vars=c04d1dcbp+c04d1dcbp&rloc=46.08C3.02C-2052.08C8385425.43&lch=1+1 (last access: 16 October 2024), 2024. a
Laughner, J. L., Roche, S., Kiel, M., Toon, G. C., Wunch, D., Baier, B. C., Biraud, S., Chen, H., Kivi, R., Laemmel, T., McKain, K., Quéhé, P.-Y., Rousogenous, C., Stephens, B. B., Walker, K., and Wennberg, P. O.: A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm, Atmos. Meas. Tech., 16, 1121–1146, https://doi.org/10.5194/amt-16-1121-2023, 2023. a
Laughner, J. L., Toon, G. C., Mendonca, J., Petri, C., Roche, S., Wunch, D., Blavier, J.-F., Griffith, D. W. T., Heikkinen, P., Keeling, R. F., Kiel, M., Kivi, R., Roehl, C. M., Stephens, B. B., Baier, B. C., Chen, H., Choi, Y., Deutscher, N. M., DiGangi, J. P., Gross, J., Herkommer, B., Jeseck, P., Laemmel, T., Lan, X., McGee, E., McKain, K., Miller, J., Morino, I., Notholt, J., Ohyama, H., Pollard, D. F., Rettinger, M., Riris, H., Rousogenous, C., Sha, M. K., Shiomi, K., Strong, K., Sussmann, R., Té, Y., Velazco, V. A., Wofsy, S. C., Zhou, M., and Wennberg, P. O.: The Total Carbon Column Observing Network's GGG2020 data version, Earth Syst. Sci. Data, 16, 2197–2260, https://doi.org/10.5194/essd-16-2197-2024, 2024. a, b, c, d, e
Lindqvist, H., O'Dell, C. W., Basu, S., Boesch, H., Chevallier, F., Deutscher, N., Feng, L., Fisher, B., Hase, F., Inoue, M., Kivi, R., Morino, I., Palmer, P. I., Parker, R., Schneider, M., Sussmann, R., and Yoshida, Y.: Does GOSAT capture the true seasonal cycle of carbon dioxide?, Atmos. Chem. Phys., 15, 13023–13040, https://doi.org/10.5194/acp-15-13023-2015, 2015. a, b
Messerschmidt, J., Parazoo, N., Wunch, D., Deutscher, N. M., Roehl, C., Warneke, T., and Wennberg, P. O.: Evaluation of seasonal atmosphere–biosphere exchange estimations with TCCON measurements, Atmos. Chem. Phys., 13, 5103–5115, https://doi.org/10.5194/acp-13-5103-2013, 2013. a
Michalsky, J. J.: The Astronomical Almanac's algorithm for approximate solar position (1950–2050), Sol. Energy, 40, 227–235, https://doi.org/10.1016/0038-092X(88)90045-X, 1988. a
Mottungan, K., Roychoudhury, C., Brocchi, V., Gaubert, B., Tang, W., Mirrezaei, M. A., McKinnon, J., Guo, Y., Griffith, D. W. T., Feist, D. G., Morino, I., Sha, M. K., Dubey, M. K., De Mazière, M., Deutscher, N. M., Wennberg, P. O., Sussmann, R., Kivi, R., Goo, T.-Y., Velazco, V. A., Wang, W., and Arellano Jr., A. F.: Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements, Atmos. Meas. Tech., 17, 5861–5885, https://doi.org/10.5194/amt-17-5861-2024, 2024. a
Pollard, D. F., Sherlock, V., Robinson, J., Deutscher, N. M., Connor, B., and Shiona, H.: The Total Carbon Column Observing Network site description for Lauder, New Zealand, Earth Syst. Sci. Data, 9, 977–992, https://doi.org/10.5194/essd-9-977-2017, 2017. a
Pollard, D. F., Robinson, J., Shiona, H., and Smale, D.: Intercomparison of Total Carbon Column Observing Network (TCCON) data from two Fourier transform spectrometers at Lauder, New Zealand, Atmos. Meas. Tech., 14, 1501–1510, https://doi.org/10.5194/amt-14-1501-2021, 2021. a
Pope, R. J., Kerridge, B. J., Siddans, R., Latter, B. G., Chipperfield, M. P., Arnold, S. R., Ventress, L. J., Pimlott, M. A., Graham, A. M., Knappett, D. S., and Rigby, R.: Large Enhancements in Southern Hemisphere Satellite‐Observed Trace Gases Due to the 2019/2020 Australian Wildfires, J. Geophys. Res.-Atmos., 126, e2021JD034892, https://doi.org/10.1029/2021JD034892, 2021. a
Reichert, A., Hausmann, P., and Sussmann, R.: Pointing errors in solar absorption spectrometry – correction scheme and its validation, Atmos. Meas. Tech., 8, 3715–3728, https://doi.org/10.5194/amt-8-3715-2015, 2015. a
Robinson, J., Smale, D., Pollard, D., and Shiona, H.: Solar tracker with optical feedback and continuous rotation, Atmos. Meas. Tech., 13, 5855–5871, https://doi.org/10.5194/amt-13-5855-2020, 2020. a, b
Schuldt, K. N., Mund, J., Aalto, T., Abshire, J. B., Aikin, K., Allen, G., Andrews, A., Apadula, F., Arnold, S., Baier, B., Bakwin, P., Bäni, L., Bartyzel, J., Bentz, G., Bergamaschi, P., Beyersdorf, A., Biermann, T., Biraud, S. C., Blanc, P.-E., Boenisch, H., Bowling, D., Brailsford, G., Brand, W. A., Brunner, D., Bui, T. P. V., Van Den Bulk, P., Calzolari, F., Chang, C. S., Chen, G., Chen, H., Chmura, L., St. Clair, J. M., Clark, S, Coletta, J. D., Colomb, A., Commane, R., Condori, L., Conen, F., Conil, S., Couret, C., Cristofanelli, P., Cuevas, E., Curcoll, R., Daube, B., Davis, K. J., Dean-Day, J. M., Delmotte, M., Dickerson, R., DiGangi, E., DiGangi, J. P., Van Dinther, D., Elkins, J. W., Elsasser, M., Emmenegger, L., Fang, S., Fischer, M. L., Forster, G., France, J., Frumau, A., Fuente-Lastra, M., Galkowski, M., Gatti, L. V., Gehrlein, T., Gerbig, C., Gheusi, F., Gloor, E., Goto, D., Griffis, T., Hammer, S., Hanisco, T. F., Hanson, C., Haszpra, L., Hatakka, J., Heimann, M., Heliasz, M., Heltai, D., Henne, S., Hensen, A., Hermans, C., Hermansen, O., Hintsa, E., Hoheisel, A., Holst, J., Di Iorio, T., Iraci, L. T., Ivakhov, V., Jaffe, D. A., Jordan, A., Joubert, W., Kang, H.-Y., Karion, A., Kawa, S. R., Kazan, V., Keeling, R. F., Keronen, P., Kim, J., Klausen, J., Kneuer, T., Ko, M.-Y., Kolari, P., Kominkova, K., Kort, E., Kozlova, E., Krummel, P. B., Kubistin, D., Kulawik, S. S., Kumps, N., Labuschagne, C., Lam, D. H., Lan, X., Langenfelds, R. L., Lanza, A., Laurent, O., Laurila, T., Lauvaux, T., Lavric, J., Law, B. E., Lee, C.-H., Lee, H., Lee, J., Lehner, I., Lehtinen, K., Leppert, R., Leskinen, A., Leuenberger, M., Leung, W.H., Levin, I., Levula, J., Lin, J., Lindauer, M., Lindroth, A., Ottosson-Löfvenius, M., Loh, Z. M., Lopez, M., Lunder, C. R., Machida, T., Mammarella, I., Manca, G., Manning, A., Manning, A., Marek, M. V., Marklund, P., Marrero, J. E., Martin, D., Martin, M. Y., Giordane A. Martins, Matsueda, H., De Mazière, M., McKain, K., Meijer, H., Meinhardt, F., Merchant, L., Metzger, J.-M., Mihalopoulos, N., Miles, N. L., Miller, C. E., Miller, J. B., Mitchell, L., Mölder, M., Monteiro, V., Montzka, S., Moore, F., Moossen, H., Morgan, E., Morgui, J.-A., Morimoto, S., Müller-Williams, J., Munger, J. W., Munro, D., Mutuku, M., Myhre, C. L., Nakaoka, S., Necki, J., Newman, S., Nichol, S., Nisbet, E., Niwa, Y., Njiru, D. M., Noe, S. M., Nojiri, Y., O’Doherty, S., Obersteiner, F., Paplawsky, B., Parworth, C. L., Peischl, J., Peltola, O., Peters, W., Philippon, C., Piacentino, S., Pichon, J. M., Pickers, P., Piper, S., Pitt, J., Plass-Dülmer, C., Platt, S. M., Prinzivalli, S., Ramonet, M., Ramos, R., Ren, X., Reyes-Sanchez, E., Richardson, S. J., Rigouleau, L.-J., Riris, H., Rivas, P. P., Rothe, M., Roulet, Y.-A., Ryerson, T., Ryoo, J.-M., Sargent, M., Di Sarra, A. G., Sasakawa, M., Scheeren, B., Schmidt, M., Schuck, T., Schumacher, M., Seibel, J., Seifert, T., Sha, M. K., Shepson, P., Shook, M., Sloop, C. D., Smith, P. D., Sørensen, L. L., De Souza, R. A. F., Spain, G., Steger, D., Steinbacher, M., Stephens, B., Sweeney, C., Taipale, R., Takatsuji, S., Tans, P., Thoning, K., Timas, H., Torn, M., Trisolino, P., Turnbull, J., Vermeulen, A., Viner, B., Vitkova, G., Walker, S., Watson, A., Weiss, R., De Wekker, S., Weyrauch, D., Wofsy, S. C., Worsey, J., Worthy, D., Xueref-Remy, I., Yates, E. L., Young, D., Yver-Kwok, C., Zaehle, S., Zahn, A., Zellweger, C., and Zimnoch, M.: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957–2022, NOAA Global Monitoring Laboratory Observation Package obspack_co2_1_GLOBALVIEWplus_v9.1_2023-12-08, Global Monitoring Laboratory, NOAA [data set], https://doi.org/10.25925/20231201, 2023. a
Sha, M. K., De Mazière, M., Notholt, J., Blumenstock, T., Chen, H., Dehn, A., Griffith, D. W. T., Hase, F., Heikkinen, P., Hermans, C., Hoffmann, A., Huebner, M., Jones, N., Kivi, R., Langerock, B., Petri, C., Scolas, F., Tu, Q., and Weidmann, D.: Intercomparison of low- and high-resolution infrared spectrometers for ground-based solar remote sensing measurements of total column concentrations of CO2, CH4, and CO, Atmos. Meas. Tech., 13, 4791–4839, https://doi.org/10.5194/amt-13-4791-2020, 2020. a
Sha, M. K., Langerock, B., Blavier, J.-F. L., Blumenstock, T., Borsdorff, T., Buschmann, M., Dehn, A., De Mazière, M., Deutscher, N. M., Feist, D. G., García, O. E., Griffith, D. W. T., Grutter, M., Hannigan, J. W., Hase, F., Heikkinen, P., Hermans, C., Iraci, L. T., Jeseck, P., Jones, N., Kivi, R., Kumps, N., Landgraf, J., Lorente, A., Mahieu, E., Makarova, M. V., Mellqvist, J., Metzger, J.-M., Morino, I., Nagahama, T., Notholt, J., Ohyama, H., Ortega, I., Palm, M., Petri, C., Pollard, D. F., Rettinger, M., Robinson, J., Roche, S., Roehl, C. M., Röhling, A. N., Rousogenous, C., Schneider, M., Shiomi, K., Smale, D., Stremme, W., Strong, K., Sussmann, R., Té, Y., Uchino, O., Velazco, V. A., Vigouroux, C., Vrekoussis, M., Wang, P., Warneke, T., Wizenberg, T., Wunch, D., Yamanouchi, S., Yang, Y., and Zhou, M.: Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations, Atmos. Meas. Tech., 14, 6249–6304, https://doi.org/10.5194/amt-14-6249-2021, 2021. a
Sierk, B., Bezy, J.-L., Löscher, A., and Meijer, Y.: The European CO2 Monitoring Mission: observing anthropogenic greenhouse gas emissions from space, in: International Conference on Space Optics – ICSO 2018, 9–12 October 2018, Chania, Greece, edited by: Karafolas, N., Sodnik, Z., and Cugny, B., SPIE, ISBN 9781510630772, p. 21, https://doi.org/10.1117/12.2535941, 2019. a
Taylor, T. E., O'Dell, C. W., Crisp, D., Kuze, A., Lindqvist, H., Wennberg, P. O., Chatterjee, A., Gunson, M., Eldering, A., Fisher, B., Kiel, M., Nelson, R. R., Merrelli, A., Osterman, G., Chevallier, F., Palmer, P. I., Feng, L., Deutscher, N. M., Dubey, M. K., Feist, D. G., García, O. E., Griffith, D. W. T., Hase, F., Iraci, L. T., Kivi, R., Liu, C., De Mazière, M., Morino, I., Notholt, J., Oh, Y.-S., Ohyama, H., Pollard, D. F., Rettinger, M., Schneider, M., Roehl, C. M., Sha, M. K., Shiomi, K., Strong, K., Sussmann, R., Té, Y., Velazco, V. A., Vrekoussis, M., Warneke, T., and Wunch, D.: An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm, Earth Syst. Sci. Data, 14, 325–360, https://doi.org/10.5194/essd-14-325-2022, 2022. a
TCCON archive: Total Carbon Column Observing Network (TCCON), TCCON archive, https://tccondata.org/ (last access: 6 May 2025), 2024. a
TCCON wiki: TCCON Requirements, Caltech, https://tccon-wiki.caltech.edu/Main/TCCONRequirements (last access: 12 February 2025), 2021. a
Toon, G. C.: Timing Information in OPUS files – Calculation of ZPD time, https://tccon-wiki.caltech.edu/pub/Main/TechnicalDocuments/opus_zpd_time_20090326.pdf (last access: 4 January 2024), 2009. a
Toon, G.: TCCON/GGG – GGG2020 (GGG2020.R0), CaltechDATA [code], https://doi.org/10.14291/tccon.ggg2020.stable.R0, 2023. a
Treffers, R. R.: Signal-to-noise ratio in Fourier spectroscopy, Appl. Optics, 16, 3103, https://doi.org/10.1364/AO.16.003103, 1977. a
UK Met Office: Air masses and weather fronts, National Meteorological Library and Archive, https://www.metoffice.gov.uk/research/library-and-archive/publications/factsheets (last access: 6 May 2025), 2018. a
Walraven, R.: Calculating the position of the sun, Solar Energy, 20, 393–397, https://doi.org/10.1016/0038-092X(78)90155-X, 1978. a
Weidmann, D., Brownsword, R., and Doniki, S.: TCCON data from Harwell, Oxfordshire (UK), Release GGG2020.R0, CaltechDATA [data set], https://doi.org/10.14291/tccon.ggg2020.harwell01.R0, 2023. a, b, c
Wunch, D., Toon, G. C., Wennberg, P. O., Wofsy, S. C., Stephens, B. B., Fischer, M. L., Uchino, O., Abshire, J. B., Bernath, P., Biraud, S. C., Blavier, J.-F. L., Boone, C., Bowman, K. P., Browell, E. V., Campos, T., Connor, B. J., Daube, B. C., Deutscher, N. M., Diao, M., Elkins, J. W., Gerbig, C., Gottlieb, E., Griffith, D. W. T., Hurst, D. F., Jiménez, R., Keppel-Aleks, G., Kort, E. A., Macatangay, R., Machida, T., Matsueda, H., Moore, F., Morino, I., Park, S., Robinson, J., Roehl, C. M., Sawa, Y., Sherlock, V., Sweeney, C., Tanaka, T., and Zondlo, M. A.: Calibration of the Total Carbon Column Observing Network using aircraft profile data, Atmos. Meas. Tech., 3, 1351–1362, https://doi.org/10.5194/amt-3-1351-2010, 2010. a, b
Wunch, D., Toon, G. C., Blavier, J.-F. L., Washenfelder, R. A., Notholt, J., Connor, B. J., Griffith, D. W. T., Sherlock, V., and Wennberg, P. O.: The Total Carbon Column Observing Network, Philos. T. Roy. Soc. A, 369, 2087–2112, https://doi.org/10.1098/rsta.2010.0240, 2011a. a, b, c
Wunch, D., Wennberg, P. O., Toon, G. C., Connor, B. J., Fisher, B., Osterman, G. B., Frankenberg, C., Mandrake, L., O'Dell, C., Ahonen, P., Biraud, S. C., Castano, R., Cressie, N., Crisp, D., Deutscher, N. M., Eldering, A., Fisher, M. L., Griffith, D. W. T., Gunson, M., Heikkinen, P., Keppel-Aleks, G., Kyrö, E., Lindenmaier, R., Macatangay, R., Mendonca, J., Messerschmidt, J., Miller, C. E., Morino, I., Notholt, J., Oyafuso, F. A., Rettinger, M., Robinson, J., Roehl, C. M., Salawitch, R. J., Sherlock, V., Strong, K., Sussmann, R., Tanaka, T., Thompson, D. R., Uchino, O., Warneke, T., and Wofsy, S. C.: A method for evaluating bias in global measurements of CO2 total columns from space, Atmos. Chem. Phys., 11, 12317–12337, https://doi.org/10.5194/acp-11-12317-2011, 2011b. a, b, c
Wunch, D., Wennberg, P. O., Osterman, G., Fisher, B., Naylor, B., Roehl, C. M., O'Dell, C., Mandrake, L., Viatte, C., Kiel, M., Griffith, D. W. T., Deutscher, N. M., Velazco, V. A., Notholt, J., Warneke, T., Petri, C., De Maziere, M., Sha, M. K., Sussmann, R., Rettinger, M., Pollard, D., Robinson, J., Morino, I., Uchino, O., Hase, F., Blumenstock, T., Feist, D. G., Arnold, S. G., Strong, K., Mendonca, J., Kivi, R., Heikkinen, P., Iraci, L., Podolske, J., Hillyard, P. W., Kawakami, S., Dubey, M. K., Parker, H. A., Sepulveda, E., García, O. E., Te, Y., Jeseck, P., Gunson, M. R., Crisp, D., and Eldering, A.: Comparisons of the Orbiting Carbon Observatory-2 (OCO-2)
Wunch, D., Laughner, J., Toon, G. C., Roehl, C. M., Wennberg, P. O., Millán, L. F., Deutscher, N. M., Warneke, T., Pollard, D. F., Feist, D. G., Strong, K., McGee, E., Roche, S., Mendonca, J., Kivi, R., Heikkinen, P., Hase, F., Sha, M. K., De Mazière, M., Sussmann, R., Rettinger, M., Pak, N. M., Morino, I., Velazco, V. A., Griffith, D. W. T., Notholt, J., Petri, C., Buschmann, M., Hachmeister, J., Doniki, S., Weidmann, D., Rousogenous, C., Vrekoussis, M., Ohyama, H., Oh, Y.-S., García, O. E., Robinson, J., Dubey, M., Zhou, M., Wang, P., Té, Y., Jeseck, P., Iraci, L., Podolske, J., Shiomi, K., and Kawakami, S.: The Total Carbon Column Observing Network's GGG2020 Data Version: Data Quality, Comparison with GGG2014, and Future Outlook, Caltech, https://doi.org/10.14291/TCCON.GGG2020.DOCUMENTATION.R0, 2025. a
Yang, D., Boesch, H., Liu, Y., Somkuti, P., Cai, Z., Chen, X., Noia, A. D., Lin, C., Lu, N., Lyu, D., Parker, R. J., Tian, L., Wang, M., Webb, A., Yao, L., Yin, Z., Zheng, Y., Deutscher, N. M., Griffith, D. W. T., Hase, F., Kivi, R., Morino, I., Notholt, J., Ohyama, H., Pollard, D. F., Shiomi, K., Sussmann, R., Té, Y., Velazco, V. A., Warneke, T., and Wunch, D.: Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements, J. Geophys. Res.-Atmos., 125, e2020JD032794, https://doi.org/10.1029/2020JD032794, 2020. a
Yun, J., Jeong, S., Gruber, N., Gregor, L., Ho, C.-H., Piao, S., Ciais, P., Schimel, D., and Kwon, E. Y.: Enhance seasonal amplitude of atmospheric CO2 by the changing Southern Ocean carbon sink, Science Advances, 8, eabq0220, https://doi.org/10.1126/sciadv.abq0220, 2022. a
Short summary
The development and characterization of a ground-based system measuring column average concentrations of greenhouse gases is described, as well as the corresponding four years dataset recorded at Harwell, Oxfordshire, UK. The system, based on high-resolution Fourier Transform spectroscopy of atmospheric transmission, fulfills the requirements established by the Total Carbon Column Observatory Network (TCCON) to contribute to the international greenhouse gas observing infrastructure.
The development and characterization of a ground-based system measuring column average...
