The Framework for 0-D Atmospheric Modeling (F0AM) v3.1
Glenn M. Wolfe1,2,Margaret R. Marvin3,Sandra J. Roberts3,Katherine R. Travis4,and Jin Liao2,5Glenn M. Wolfe et al. Glenn M. Wolfe1,2,Margaret R. Marvin3,Sandra J. Roberts3,Katherine R. Travis4,and Jin Liao2,5
1Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD, USA
2Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
3Department of Chemistry and Biochemistry, University of Maryland,
College Park, MD, USA
4Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
5Universities Space Research Association, Columbia, MD, USA
1Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD, USA
2Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
3Department of Chemistry and Biochemistry, University of Maryland,
College Park, MD, USA
4Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
5Universities Space Research Association, Columbia, MD, USA
Correspondence: Glenn M. Wolfe (glenn.m.wolfe@nasa.gov)
Abstract. The Framework for 0-D Atmospheric Modeling (F0AM) is a flexible and user-friendly MATLAB-based platform for simulation of atmospheric chemistry systems. The F0AM interface incorporates front-end configuration of observational constraints and model setups, making it readily adaptable to simulation of photochemical chambers, Lagrangian plumes, and steady-state or time-evolving solar cycles. Six different chemical mechanisms and three options for calculation of photolysis frequencies are currently available. Example simulations are presented to illustrate model capabilities and, more generally, highlight some of the advantages and challenges of 0-D box modeling.
The Framework for 0-D Atmospheric Modeling (F0AM) is a new, user-friendly platform for simulation of atmospheric chemistry systems. It incorporates a suite of commonly used mechanisms and is adaptable to photochemical chambers, Lagrangian plumes, and steady-state or time-varying diurnal cycles. We provide a detailed model description, demonstrate several common applications, and highlight some of the advantages and challenges of the 0-D box modeling approach.
The Framework for 0-D Atmospheric Modeling (F0AM) is a new, user-friendly platform for...
