Articles | Volume 20, issue 8
Atmos. Chem. Phys., 20, 5175–5195, 2020
https://doi.org/10.5194/acp-20-5175-2020

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

Atmos. Chem. Phys., 20, 5175–5195, 2020
https://doi.org/10.5194/acp-20-5175-2020

Research article 30 Apr 2020

Research article | 30 Apr 2020

Design and evaluation of CO2 observation network to optimize surface CO2 fluxes in Asia using observation system simulation experiments

Jun Park and Hyun Mee Kim

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Cited articles

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Byrne, B., Jones, D. B. A., Strong, K., Zeng, Z. C., Deng, F., and Liu, J.: Sensitivity of CO2 surface flux constraints to observational coverage, J. Geophys. Res.-Atmos., 122, 6672–6694, https://doi.org/10.1002/2016JD026164, 2017. 
Cardinali, C., Pezzulli, S., and Andersson, E.: Influence-matrix diagnostic of a data assimilation system, Q. J. Roy. Meteorol. Soc., 130, 2767–2786, https://doi.org/10.1256/qj.03.205, 2004. 
Cheng, S., Zhou, L., Tans, P. P., An, X., and Liu, Y.: Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China, Atmos. Environ., 180, 216–225, https://doi.org/10.1016/j.atmosenv.2018.03.010, 2018. 
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Observation network experiments were conducted to optimize the surface CO2 flux in Asia. The impacts of the redistribution of and additions to the existing observation network were evaluated. The addition experiments revealed that considering both the normalized self-sensitivity and ecoregion information can yield better simulated surface CO2 fluxes compared to random addition. This study provides useful information for future observation network design to estimate the surface CO2 flux.
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