1UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU; LATMOS-IPSL, Paris, France
2Department of Meteorology and Environment Protection, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic
3Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
4NOAA Earth System Research Laboratory, Chemical Sciences Division, Boulder, CO, USA
5Max Planck Institute for Meteorology, Hamburg, Germany
6Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, USA
7National Center for Atmospheric Research, Boulder, USA
8Belgian Institute for Space Aeronomy, Brussels, Belgium
9Biogeochemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
10University of Tuscia, Department of Forest Science and Environment, Viterbo, Italy
11Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
*now at: Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Received: 20 Feb 2014 – Published in Atmos. Chem. Phys. Discuss.: 29 Apr 2014
Abstract. The Model of Emissions of Gases and Aerosols from Nature (MEGANv2.1) together with the Modern-Era Retrospective Analysis for Research and Applications (MERRA) meteorological fields were used to create a global emission data set of biogenic volatile organic compounds (BVOC) available on a monthly basis for the time period of 1980–2010. This data set, developed under the Monitoring Atmospheric Composition and Climate project (MACC), is called MEGAN–MACC. The model estimated mean annual total BVOC emission of 760 Tg (C) yr−1 consisting of isoprene (70%), monoterpenes (11%), methanol (6%), acetone (3%), sesquiterpenes (2.5%) and other BVOC species each contributing less than 2%.
Revised: 01 Aug 2014 – Accepted: 06 Aug 2014 – Published: 09 Sep 2014
Several sensitivity model runs were performed to study the impact of different model input and model settings on isoprene estimates and resulted in differences of up to ±17% of the reference isoprene total. A greater impact was observed for a sensitivity run applying parameterization of soil moisture deficit that led to a 50% reduction of isoprene emissions on a global scale, most significantly in specific regions of Africa, South America and Australia.
MEGAN–MACC estimates are comparable to results of previous studies. More detailed comparison with other isoprene inventories indicated significant spatial and temporal differences between the data sets especially for Australia, Southeast Asia and South America. MEGAN–MACC estimates of isoprene, α-pinene and group of monoterpenes showed a reasonable agreement with surface flux measurements at sites located in tropical forests in the Amazon and Malaysia. The model was able to capture the seasonal variation of isoprene emissions in the Amazon forest.
Sindelarova, K., Granier, C., Bouarar, I., Guenther, A., Tilmes, S., Stavrakou, T., Müller, J.-F., Kuhn, U., Stefani, P., and Knorr, W.: Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years, Atmos. Chem. Phys., 14, 9317-9341, doi:10.5194/acp-14-9317-2014, 2014.