Articles | Volume 16, issue 22
Atmos. Chem. Phys., 16, 14169–14202, 2016
https://doi.org/10.5194/acp-16-14169-2016
Atmos. Chem. Phys., 16, 14169–14202, 2016
https://doi.org/10.5194/acp-16-14169-2016

Research article 16 Nov 2016

Research article | 16 Nov 2016

Global biogenic volatile organic compound emissions in the ORCHIDEE and MEGAN models and sensitivity to key parameters

Palmira Messina et al.

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Cited articles

Acosta Navarro, J. C., Smolander, S., Struthers, H., Zorita, E., Ekman, A. M. L., Kaplan, J. O., Guenther, A., Arneth, A., and Riipinen, I.: Global emissions of terpenoid VOCs from terrestrial vegetation in the last millennium, J. Geophys. Res.-Atmos., 119, 6867–6885, https://doi.org/10.1002/2013JD021238, 2014.
Arneth, A., Monson, R. K., Schurgers, G., Niinemets, Ü., and Palmer, P. I.: Why are estimates of global terrestrial isoprene emissions so similar (and why is this not so for monoterpenes)?, Atmos. Chem. Phys., 8, 4605–4620, https://doi.org/10.5194/acp-8-4605-2008, 2008.
Arneth, A., Schurgers, G., Lathiere, J., Duhl, T., Beerling, D. J., Hewitt, C. N., Martin, M., and Guenther, A.: Global terrestrial isoprene emission models: sensitivity to variability in climate and vegetation, Atmos. Chem. Phys., 11, 8037–8052, https://doi.org/10.5194/acp-11-8037-2011, 2011.
Ashworth, K., Wild, O., and Hewitt, C. N.: Sensitivity of isoprene emissions estimated using MEGAN to the time resolution of input climate data, Atmos. Chem. Phys., 10, 1193–1201, https://doi.org/10.5194/acp-10-1193-2010, 2010.
Bai, J., Baker, B., Liang, B., Greenberg, J., and Guenther, A.: Isoprene and monoterpene emissions from an Inner Mongolia grassland, Atmos. Environ., 40, 5753–5758, https://doi.org/10.1016/j.atmosenv.2006.05.019, 2006.
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We provide BVOC emissions for the present scenario, employing the updated ORCHIDEE emission module and the MEGAN model. The modelling community still faces the problem of emission model evaluation because of the absence of adequate observations. The accurate analysis performed, employing the two models, allowed the various processes modelled to be investigated, in order to fully understand the origin of the mismatch between the model estimates and to quantify the emission uncertainties.
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