Parameterizing the impacts of ozone-vegetation coupling and feedbacks on ozone air quality in a chemical transport model

Apart from being an important greenhouse gas, tropospheric ozone is a significant air pollutant that is shown to have harmful effects both on human health and vegetation. Ozone damages vegetation mainly through reducing plant photosynthesis and stomatal conductance. Meanwhile, ozone is also strongly dependent on vegetation via various biogeochemical and physical processes. These interdependences between ozone and vegetation would constitute feedback mechanisms that can potentially alter ozone concentration itself, and should be considered in future climate and air quality projections. In this study, we first implement an empirical scheme for ozone damage on vegetation in the Community Land Model (CLM), and simulate the relative changes in leaf area indices (LAI) and stomatal conductance for three plant groups (consolidated from 15 plant functional types) at various prescribed ozone levels (from 0 ppb to 100 ppb). We find that all plant groups suffer the greatest decreases in LAI and stomatal conductance in regions with their greatest abundance, and grasses and crops show the most severe damage from ozone exposure compared with broadleaf and needleleaf groups, with an LAI reduction of as much as 50% in some areas even at an ozone level of 30 ppb. Using the CLM-simulated results, we develop a semi-empirical parameterization scheme to link prescribed ozone levels to the spatially varying simulated relative changes in LAI and stomatal conductance at model steady state. We implement the scheme in the GEOS-Chem chemical transport model so that ozone-vegetation chemical coupling via ozone dry deposition and biogenic volatile organic compound (VOC) emissions can be simulated online. Model simulations indicate that ozone effect on stomatal conductance (which modifies dry deposition) appears to be the dominant feedback pathway influencing surface ozone, whereas ozone-mediated LAI changes (which affects biogenic VOC emissions) appear to play a lesser role. This work is the first attempt to account for online ozone-vegetation coupling in a chemical transport model, with important ramifications for more realistic assessment of ozone air quality under a constantly evolving climate and land cover.