High-resolution biogenic global emission inventory for the time period 2000–2019 for air quality modelling

• Published in: Earth system science data Vol. 14; no. 1; pp. 251 - 270
• Main Authors: Sindelarova, Katerina, Markova, Jana, Simpson, David, Huszar, Peter, Karlicky, Jan, Darras, Sabine, Granier, Claire
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 26.01.2022; Copernicus Publications
• Subjects: Acetone; Aerosols; Air pollution; Air quality; Air quality models; Algorithms; Analysis; Atmosphere; Atmospheric and Oceanic Physics; Atmospheric chemistry; Atmospheric composition; Atmospheric models; Chemical reactions; Climate change; Community composition; Datasets; Emission inventories; Emissions; Emissions (Pollution); Environmental Sciences; Estimates; Ethene; Ethylene; Gases; Global temperature changes; High resolution; Information processing; Interannual variability; Isoprene; Isoprene emissions; Land cover; Mathematical analysis; Measurement techniques; Meteorology; Modelling; Monoterpenes; Olefins; Organic compounds; Physics; Plant species; Radiation; Resolution; Sesquiterpenes; Spatial discrimination; Spatial distribution; Spatial resolution; Species composition; Terpenes; Uncertainty; Vegetation; VOCs; Volatile organic compounds; Weather forecasting
• ISSN: 1866-3516; 1866-3508; 1866-3516
• DOI: 10.5194/essd-14-251-2022

Biogenic volatile organic compounds (BVOCs) emitted from the terrestrial vegetation into the Earth's atmosphere play an important role in atmospheric chemical processes. Gridded information of their temporal and spatial distribution is therefore needed for proper representation of the atmospheric composition by the air quality models. Here we present three newly developed high-resolution global emission inventories of the main BVOC species including isoprene, monoterpenes, sesquiterpenes, methanol, acetone and ethene. Monthly mean and monthly averaged daily profile emissions were calculated by the Model of Emission of Gases and Aerosols from Nature (MEGANv2.1) driven by meteorological reanalyses of the European Centre for Medium-Range Weather Forecasts for the period of 2000–2019. The dataset CAMS-GLOB-BIOv1.2 is based on ERA-Interim meteorology (0.5∘ × 0.5∘ horizontal spatial resolution); the datasets CAMS-GLOB-BIOv3.0 and v3.1 were calculated with ERA5 (both 0.25∘ × 0.25∘ horizontal spatial resolution). Furthermore, European isoprene emission potential data were updated using high-resolution land cover maps and detailed information of tree species composition and emission factors from the EMEP MSC-W model system. Updated isoprene emissions are included in the CAMS-GLOB-BIOv3.1 dataset. The effect of annually changing land cover on BVOC emissions is captured by the CAMS-GLOB-BIOv3.0 as it was calculated with land cover data provided by the Climate Change Initiative of the European Space Agency (ESA-CCI). The global total annual BVOC emissions averaged over the simulated period vary between the datasets from 424 to 591 Tg (C) yr−1, with isoprene emissions from 299.1 to 440.5 Tg (isoprene) yr−1. Differences between the datasets and variation in their emission estimates provide the emission uncertainty range and the main sources of uncertainty, i.e. meteorological inputs, emission potential data and land cover description. The CAMS-GLOB-BIO time series of isoprene and monoterpenes were compared to other available data. There is a general agreement in an interannual variability in the emission estimates, and the values fall within the uncertainty range. The CAMS-GLOB-BIO datasets (CAMS-GLOB-BIOv1.2, https://doi.org/10.24380/t53a-qw03, Sindelarova et al., 2021a; CAMS-GLOB-BIOv3.0, https://doi.org/10.24380/xs64-gj42, Sindelarova et al., 2021b; CAMS-GLOB-BIOv3.1, https://doi.org/10.24380/cv4p-5f79, Sindelarova et al., 2021c) are distributed from the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/, last access: June 2021).