Articles | Volume 19, issue 11
Atmos. Chem. Phys., 19, 7789–7816, 2019
https://doi.org/10.5194/acp-19-7789-2019
Atmos. Chem. Phys., 19, 7789–7816, 2019
https://doi.org/10.5194/acp-19-7789-2019
Research article
12 Jun 2019
Research article | 12 Jun 2019

An atmospheric inversion over the city of Cape Town: sensitivity analyses

Alecia Nickless et al.

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Manuscript not accepted for further review
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Cited articles

Andres, R. J., Boden, T. A., Bréon, F.-M., Ciais, P., Davis, S., Erickson, D., Gregg, J. S., Jacobson, A., Marland, G., Miller, J., Oda, T., Olivier, J. G. J., Raupach, M. R., Rayner, P., and Treanton, K.: A synthesis of carbon dioxide emissions from fossil-fuel combustion, Biogeosciences, 9, 1845–1871, https://doi.org/10.5194/bg-9-1845-2012, 2012. a
Andres, R. J., Boden, T. A., and Higdon, D.: A new evaluation of the uncertainty associated with CDIAC estimates of fossil fuel carbon dioxide emission, Tellus B, 66, 23616, https://doi.org/10.3402/tellusb.v66.23616, 2014. a
Archibald, S. A., Kirton, A., van der Merwe, M. R., Scholes, R. J., Williams, C. A., and Hanan, N.: Drivers of inter-annual variability in Net Ecosystem Exchange in a semi-arid savanna ecosystem, South Africa, Biogeosciences, 6, 251–266, https://doi.org/10.5194/bg-6-251-2009, 2009. a
Bellassen, V. and Stephan, N.: Accounting for carbon: Monitoring, reporting and verifying emissions in the climate economy, Cambridge University Press, Cambridge, UK, 2015. a
Boden, T. A., Marland, G., and Andres, R. J.: Global, regional, and national fossil fuel CO2 emissions, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., USA, https://doi.org/10.3334/CDIAC/00001_V2011, 2011. a
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Different frameworks for an atmospheric inversion study over Cape Town, South Africa, are considered. We focused particularly on how sensitive the estimates of CO2 fluxes were to changes in the way the uncertainty in these estimates was specified and the impact different prior information had on the final flux estimates. We used atmospheric measurements from two new sites located near Cape Town: Robben Island and Hangklip lighthouses, which were specifically deployed for this inversion study.
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