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

Related authors

Megacity and local contributions to regional air pollution: an aircraft case study over London
Kirsti Ashworth, Silvia Bucci, Peter J. Gallimore, Junghwa Lee, Beth S. Nelson, Alberto Sanchez-Marroquín, Marina B. Schimpf, Paul D. Smith, Will S. Drysdale, Jim R. Hopkins, James D. Lee, Joe R. Pitt, Piero Di Carlo, Radovan Krejci, and James B. McQuaid
Atmos. Chem. Phys., 20, 7193–7216, https://doi.org/10.5194/acp-20-7193-2020,https://doi.org/10.5194/acp-20-7193-2020, 2020
Short summary
Successful practice in early career networks: insights from the polar sciences
Pascal Bohleber, Mathieu Casado, Kirsti Ashworth, Chelsey A. Baker, Anna Belcher, Jilda Alicia Caccavo, Holly E. Jenkins, Erin Satterthwaite, Andrea Spolaor, and V. Holly L. Winton
Adv. Geosci., 53, 1–14, https://doi.org/10.5194/adgeo-53-1-2020,https://doi.org/10.5194/adgeo-53-1-2020, 2020
Short summary
Potential regional air quality impacts of cannabis cultivation facilities in Denver, Colorado
Chi-Tsan Wang, Christine Wiedinmyer, Kirsti Ashworth, Peter C. Harley, John Ortega, Quazi Z. Rasool, and William Vizuete
Atmos. Chem. Phys., 19, 13973–13987, https://doi.org/10.5194/acp-19-13973-2019,https://doi.org/10.5194/acp-19-13973-2019, 2019
Short summary
Modelling bidirectional fluxes of methanol and acetaldehyde with the FORCAsT canopy exchange model
Kirsti Ashworth, Serena H. Chung, Karena A. McKinney, Ying Liu, J. William Munger, Scot T. Martin, and Allison L. Steiner
Atmos. Chem. Phys., 16, 15461–15484, https://doi.org/10.5194/acp-16-15461-2016,https://doi.org/10.5194/acp-16-15461-2016, 2016

Related subject area

Atmospheric sciences
Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations
Alok K. Samantaray, Priscilla A. Mooney, and Carla A. Vivacqua
Geosci. Model Dev., 17, 3321–3339, https://doi.org/10.5194/gmd-17-3321-2024,https://doi.org/10.5194/gmd-17-3321-2024, 2024
Short summary
A dynamic approach to three-dimensional radiative transfer in subkilometer-scale numerical weather prediction models: the dynamic TenStream solver v1.0
Richard Maier, Fabian Jakub, Claudia Emde, Mihail Manev, Aiko Voigt, and Bernhard Mayer
Geosci. Model Dev., 17, 3357–3383, https://doi.org/10.5194/gmd-17-3357-2024,https://doi.org/10.5194/gmd-17-3357-2024, 2024
Short summary
Evaluation and development of surface layer scheme representation of temperature inversions over boreal forests in Arctic wintertime conditions
Julia Maillard, Jean-Christophe Raut, and François Ravetta
Geosci. Model Dev., 17, 3303–3320, https://doi.org/10.5194/gmd-17-3303-2024,https://doi.org/10.5194/gmd-17-3303-2024, 2024
Short summary
Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation
Jana Fischereit, Henrik Vedel, Xiaoli Guo Larsén, Natalie E. Theeuwes, Gregor Giebel, and Eigil Kaas
Geosci. Model Dev., 17, 2855–2875, https://doi.org/10.5194/gmd-17-2855-2024,https://doi.org/10.5194/gmd-17-2855-2024, 2024
Short summary
Analytical and adaptable initial conditions for dry and moist baroclinic waves in the global hydrostatic model OpenIFS (CY43R3)
Clément Bouvier, Daan van den Broek, Madeleine Ekblom, and Victoria A. Sinclair
Geosci. Model Dev., 17, 2961–2986, https://doi.org/10.5194/gmd-17-2961-2024,https://doi.org/10.5194/gmd-17-2961-2024, 2024
Short summary

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.
Download
Short summary
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.