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Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years

  • K. Sindelarova
  • , C. Granier
  • , I. Bouarar
  • , A. Guenther
  • , S. Tilmes
  • , T. Stavrakou
  • , J. F. Müller
  • , U. Kuhn
  • , P. Stefani
  • , W. Knorr
  • Sorbonne Université
  • Charles University
  • University of Colorado Boulder
  • National Oceanic and Atmospheric Administration
  • Max Planck Institute for Meteorology
  • Pacific Northwest National Laboratory
  • National Center for Atmospheric Research
  • Royal Belgian Institute for Space Aeronomy
  • Max Planck Institute for Chemistry
  • Tuscia University
  • Lund University

Research output: Contribution to journalArticlepeer-review

791 Scopus citations

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) yrg-1consisting of isoprene (70%), monoterpenes (11%), methanol (6%), acetone (3%), sesquiterpenes (2.5%) and other BVOC species each contributing less than 2%. 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.

Original languageEnglish
Pages (from-to)9317-9341
Number of pages25
JournalAtmospheric Chemistry and Physics
Volume14
Issue number17
DOIs
StatePublished - Sep 9 2014
Externally publishedYes

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