A006-0006
Effects of Land Cover Changes on Isoprene Emissions Evaluated Using Spaceborne Formaldehyde Data From OMI Sensor and Multiyear Model Simulations

Monday, 7 December 2020
Poster
Beata Opacka1, Trissevgeni Stavrakou1, Jean-Francois Muller1, Maite Bauwens1 and Alex B Guenther2, (1)Royal Belgian Institute for Space Aeronomy, Brussels, Belgium, (2)University of California, Irvine, Department of Earth System Science, Irvine, CA, United States
Abstract:
Biogenic volatile organic compounds (BVOCs) are emitted globally at about 1100 Tg per year of which almost half is entailed by isoprene. Isoprene is highly reactive in the atmosphere, and its degradation impacts the atmospheric composition through the generation of ozone (in presence of NOx typical of polluted areas) and secondary organic aerosols, which both pose a risk to human health. Isoprene is mainly emitted by plant foliage, with trees being the major contributors.

An accurate representation of land cover (LC) distributions is a key condition for simulating biosphere-atmosphere interactions. Our objective is to test the implementation of different global spaceborne time-dependent plant functional type (PFT) distributions on the simulations of biogenic isoprene emissions over 2001-2018. The tested PFT distributions include (1) the MODIS dataset (Friedl and Sulla-Menashe, 2019), (2) the MODIS dataset modified to account for tree cover changes from Hansen et al. (2013), and (3) the ESA-CCI dataset (Poulter et al. 2015). The comparisons show a large variability in the representation of the tree cover. In order to assess the uncertainty in isoprene emissions and their trends associated to LC changes, we perform global simulations using the MEGAN emission model (Guenther et al. 2012) coupled with the MOHYCAN multi-layer canopy model (Müller et al. 2008) over 2001-2018 using either static or annually-changing LC (from MODIS or MODIS-Hansen). The derived emission datasets are further evaluated using top-down information provided by satellite observations of formaldehyde, a high-yield isoprene oxidation product. To this end, we perform multiyear simulations of atmospheric composition with the IMAGES CTM using each of the different isoprene emission datasets over 2005-2016. We evaluate the resulting HCHO column distributions and their interannual variability against observed HCHO columns from the OMI sounder over densely forested areas.