skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

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

Atmospheric chemistry and physics, 2014-09, Vol.14 (17), p.9317-9341 [Peer Reviewed Journal]

COPYRIGHT 2014 Copernicus GmbH ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1680-7324 ;ISSN: 1680-7316 ;EISSN: 1680-7324 ;DOI: 10.5194/acp-14-9317-2014

Full text available

Citations Cited by
  • Title:
    Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years
  • Author: Sindelarova, K ; Granier, C ; Bouarar, I ; Guenther, A ; Tilmes, S ; Stavrakou, T ; Müller, J.-F ; Kuhn, U ; Stefani, P ; Knorr, W
  • Subjects: Air pollution control ; Air quality management ; Analysis ; Atmospheric and Oceanic Physics ; Atmospheric composition ; Earth and Related Environmental Sciences ; Environmental Sciences ; Geovetenskap och miljövetenskap ; Natural Sciences ; Naturgeografi ; Naturvetenskap ; Physical Geography ; Physics ; Sesquiterpenes ; Volatile organic compounds
  • Is Part Of: Atmospheric chemistry and physics, 2014-09, Vol.14 (17), p.9317-9341
  • Description: 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%. 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.
  • Publisher: Copernicus GmbH
  • Language: English
  • Identifier: ISSN: 1680-7324
    ISSN: 1680-7316
    EISSN: 1680-7324
    DOI: 10.5194/acp-14-9317-2014
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    Hyper Article en Ligne (HAL) (Open Access)
    Directory of Open Access Journals
    Alma/SFX Local Collection
    SWEPUB Freely available online
    ProQuest Central

Searching Remote Databases, Please Wait