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AMT | Articles | Volume 12, issue 5
Atmos. Meas. Tech., 12, 2611–2629, 2019
https://doi.org/10.5194/amt-12-2611-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: The 10th International Carbon Dioxide Conference (ICDC10)...

Atmos. Meas. Tech., 12, 2611–2629, 2019
https://doi.org/10.5194/amt-12-2611-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 May 2019

Research article | 07 May 2019

A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias

Leonardo Calle et al.

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Cited articles

Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray-Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., Piao, S., Sitch, S., Viovy, N., Wiltshire, A., and Zhao, M.: Spatiotemporal patterns of terrestrial gross primary production – a review, Rev. Geophys., 53, 785–818, https://doi.org/10.1002/2015RG000483, 2015. 
Bagley, J. E., Desai, A. R., Harding, K. J., Snyder, P. K., and Foley, J. A.: Drought and deforestation – Has land cover change influence recent precipitation extremes in the Amazon?, J. Climate, 27, 345–361, https://doi.org/10.1175/JCLI-D-12-00369.1, 2014. 
Belikov, D. A., Maksyutov, S., Ganshin, A., Zhuravlev, R., Deutscher, N. M., Wunch, D., Feist, D. G., Morino, I., Parker, R. J., Strong, K., Yoshida, Y., Bril, A., Oshchepkov, S., Boesch, H., Dubey, M. K., Griffith, D., Hewson, W., Kivi, R., Mendonca, J., Notholt, J., Schneider, M., Sussmann, R., Velazco, V. A., and Aoki, S.: Study of the footprints of short-term variation in XCO2 observed by TCCON sites using NIES and FLEXPART atmospheric transport models, Atmos. Chem. Phys., 17, 143–157, https://doi.org/10.5194/acp-17-143-2017, 2017. 
Betts, A. K., Desjardins, R., Worth, D., and Cerkowniak, D.: Impact of land use change on the diurnal cycle climate of the Canadian Prairies, J. Geophys. Res.-Atmos., 188, 996–12011, https://doi.org/10.1002/2013JD020717, 2013. 
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Short summary
Satellite observations of atmospheric carbon dioxide offer extraordinary insights into terrestrial ecosystem activity on Earth. The algorithm we present provides researchers with a great deal more information from these satellite data than has been available in the past. We hope the application of this algorithm and analyses tools provides insight into atmospheric dynamics of carbon dioxide and helps inform the development of global ecosystem models in the future.
Satellite observations of atmospheric carbon dioxide offer extraordinary insights into...
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