Journal
GEOSCIENTIFIC MODEL DEVELOPMENT
Volume 13, Issue 3, Pages 1137-1153Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-13-1137-2020
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Funding
- National Natural Science Foundation of China [41975155]
- National Key Research and Development Program of China [2019YFA0606802, 2017YFA0603802]
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The terrestrial biosphere and atmospheric chemistry interact through multiple feedbacks, but the models of vegetation and chemistry are developed separately. In this study, the Yale Interactive terrestrial Biosphere (YIBs) model, a dynamic vegetation model with biogeochemical processes, is implemented into the Chemical Transport Model GEOS-Chem (GC) version 12.0.0. Within this GC-YIBs framework, leaf area index (LAI) and canopy stomatal conductance dynamically predicted by YIBs are used for dry deposition calculation in GEOS-Chem. In turn, the simulated surface ozone (O-3) by GEOS-Chem affect plant photosynthesis and biophysics in YIBs. The updated stomatal conductance and LAI improve the simulated O-3 dry deposition velocity and its temporal variability for major tree species. For daytime dry deposition velocities, the model-to-observation correlation increases from 0.69 to 0.76, while the normalized mean error (NME) decreases from 30.5% to 26.9% using the GC-YIBs model. For the diurnal cycle, the NMEs decrease by 9.1% for Amazon forests, 6.8% for coniferous forests, and 7.9% for deciduous forests using the GC-YIBs model. Furthermore, we quantify the damaging effects of O-3 on vegetation and find a global reduction of annual gross primary productivity by 1.5 %-3.6 %, with regional extremes of 10.9 %-14.1% in the eastern USA and eastern China. The online GC-YIBs model provides a useful tool for discerning the complex feedbacks between atmospheric chemistry and the terrestrial biosphere under global change.
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