Abstract

Biogenic volatile organic compounds (BVOCs) emitted from the terrestrial vegetation into the Earth’s atmosphere play an important role in atmospheric chemical processes. A 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 reanalyzes 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, datasets CAMS-GLOB-BIOv3.0 and v3.1 were calculated with ERA5. 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 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 suggests 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 inter-annual variability of 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).

Highlights

  • The biogenic organic volatile compounds (BVOCs) consist of a vast group of non-methane hydrocarbons emitted from terrestrial vegetation and soils into the Earth’s atmosphere (Kesselmeier and Staudt, 1999)

  • Though the absolute values differ between the datasets, the species responsible for the majority of the global BVOC total are common to all three inventories

  • The numbers in brackets represent the species contribution to the global BVOC total when expressed as Tg (C) yr−1, averaged over the three datasets

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Summary

Introduction

The biogenic organic volatile compounds (BVOCs) consist of a vast group of non-methane hydrocarbons emitted from terrestrial vegetation and soils into the Earth’s atmosphere (Kesselmeier and Staudt, 1999). They form about 90 % of the total atmospheric volatile organic compound (VOC) budget (Guenther et al, 1995), and due to their high reactivity, they are an important component of atmospheric chemistry (Atkinson and Arey, 2003). BVOC oxidation products play an important role in formation of low-level ozone and secondary organic aerosols, having impact on air quality and Earth’s radiative budget Their impact on tropospheric ozone levels was evaluated by a series of modelling studies on both global (e.g. Poisson et al, 2000; Pfister et al, 2008) and regional scales (e.g. Curci et al, 2009; Sartelet et al, 2012; Situ et al, 2013; Tagaris et al, 2014). The evidence of formation of secondary organic aerosols from BVOC oxidation products was observed by experimental studies (e.g. Griffin et al, 1999; Hao et al, 2011) and field studies (Lemire et al, 2002; Gelencser et al, 2007; Ehn et al, 2014) and evaluated by atmospheric chemistry models (e.g. van Donkelaar et al, 2007; Simpson et al, 2007; Hodzic et al, 2010; Wu et al, 2020)

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