Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3765-2015
https://doi.org/10.5194/gmd-8-3765-2015
Model description paper
 | 
26 Nov 2015
Model description paper |  | 26 Nov 2015

FORest Canopy Atmosphere Transfer (FORCAsT) 1.0: a 1-D model of biosphere–atmosphere chemical exchange

K. Ashworth, S. H. Chung, R. J. Griffin, J. Chen, R. Forkel, A. M. Bryan, and A. L. Steiner

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Cited articles

Atkinson, R. and Arey, J.: Gas-phase tropospheric chemistry of biogenic volatile organic compounds: a review, Atmos. Environ., 37 (Supplement No. 2), S197–219, https://doi.org/10.1016/S1352-2310(03)00391-1, 2003.
Baldocchi, D.: A Multi-layer model for estimating sulfur dioxide deposition to a deciduous oak forest canopy, Atmos. Environ., 22, 869–884, 1988.
Barsanti, K. C., Carlton, A. G., and Chung, S. H.: Analyzing experimental data and model parameters: implications for predictions of SOA using chemical transport models, Atmos. Chem. Phys., 13, 12073–12088, https://doi.org/10.5194/acp-13-12073-2013, 2013.
Beaver, M. R., Clair, J. M. St., Paulot, F., Spencer, K. M., Crounse, J. D., LaFranchi, B. W., Min, K. E., Pusede, S. E., Wooldridge, P. J., Schade, G. W., Park, C., Cohen, R. C., and Wennberg, P. O.: Importance of biogenic precursors to the budget of organic nitrates: observations of multifunctional organic nitrates by CIMS and TD-LIF during BEARPEX 2009, Atmos. Chem. Phys., 12, 5773–5785, https://doi.org/10.5194/acp-12-5773-2012, 2012.
Blackadar, A. K.: Vertical distribution of wind and turbulent exchange in a neutral atmosphere, J. Geophys. Res., 67, 3095–3102, https://doi.org/10.1029/JZ067i008p03095, 1962.
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Volatile organic compounds released from forests into the atmosphere play a key role in governing atmospheric concentrations of trace gases and aerosol particles. We describe the development of a 1-D model that simulates the processes occurring within and above the forest canopy that regulate the transfer of these compounds and their products. We evaluate model performance by comparison of modelled concentrations against measurements from a field campaign at a northern Michigan forest site.