Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6309-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6309-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
FORest Canopy Atmosphere Transfer (FORCAsT) 2.0: model updates and evaluation with observations at a mixed forest site
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Hariprasad D. Alwe
Department of Soil, Water and Climate, University of Minnesota, Twin Cities, St. Paul, MN, USA
Dylan B. Millet
Department of Soil, Water and Climate, University of Minnesota, Twin Cities, St. Paul, MN, USA
Brandon Bottorff
Department of Chemistry, Indiana University, Bloomington, IN, USA
Michelle Lew
Department of Chemistry, Indiana University, Bloomington, IN, USA
Philip S. Stevens
School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA
Joshua D. Shutter
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
Joshua L. Cox
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
Frank N. Keutsch
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
Qianwen Shi
Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
Sarah C. Kavassalis
Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
Jennifer G. Murphy
Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
Krystal T. Vasquez
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
Hannah M. Allen
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
Eric Praske
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
John D. Crounse
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Paul O. Wennberg
Divisions of Engineering and Applied Science and Geological and Planetary Science, California Institute of Technology, Pasadena, CA, USA
Paul B. Shepson
Department of Chemistry, Purdue University, West Lafayette, IN, USA
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Alexander A. T. Bui
Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA
Henry W. Wallace
Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA
Robert J. Griffin
Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA
Nathaniel W. May
Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
Megan Connor
Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
Jonathan H. Slade
Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
Kerri A. Pratt
Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
Ezra C. Wood
Department of Chemistry, Drexel University, Philadelphia, PA, USA
Mathew Rollings
Department of Chemistry, University of Massachusetts, Amherst, MA, USA
now at: Department of Chemistry, University of California, Berkeley, CA, USA
Benjamin L. Deming
Department of Chemistry, University of Massachusetts, Amherst, MA, USA
now at: Department of Chemistry and Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
Daniel C. Anderson
Department of Chemistry, Drexel University, Philadelphia, PA, USA
now at: Universities Space Research Association, Columbia, MD and NASA Goddard Space Flight Center, Greenbelt, MD, USA
Allison L. Steiner
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Data sets
IHN GC Data from 2017 Caltech Roof Study K. Vasquez, L. Xu, J. Crounse, and P. Wennberg https://doi.org/10.22002/D1.971
Short summary
Over the past decade, understanding of isoprene oxidation has improved, and proper representation of isoprene oxidation and isoprene-derived SOA (iSOA) formation in canopy–chemistry models is now recognized to be important for an accurate understanding of forest–atmosphere exchange. The updated FORCAsT version 2.0 improves the estimation of some isoprene oxidation products and is one of the few canopy models currently capable of simulating SOA formation from monoterpenes and isoprene.
Over the past decade, understanding of isoprene oxidation has improved, and proper...