Emission inventory

MEGAN-MOHYCAN isoprene emissions accounting for space-based land cover changes [ALBERI dataset]

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The figure displays the global mean isoprene emissions (in kg m-2 s-1) averaged over 2001-2018 and the corresponding total global emission is given inset (in Tg of isoprene).


Below we provide global monthly biogenic isoprene emissions (in kg m-2 s-1) at 0.5°×0.5° between 2001 and 2018 in NetCDF format: 720 longitudes from 179.75°W to 179.75°E, 360 latitudes from 89.75°S to 89.75°N.

A DOI is created for that: https://doi.org/10.18758/71021062





















The effects of CO2 inhibition and soil moisture stress are neglected (γCO2 =1 and γSM =1; Guenther et al., 2012).


About the ALBERI dataset

The ALBERI dataset is a bottom-up inventory of isoprene emissions generated by the MEGANv2.1 model (Guenther et al., 2006; 2012) coupled with the multi-layer canopy environment model MOHYCAN (Müller et al., 2008) and driven by ECMWF ERA-Interim meteorological fields. It is produced using 16 Plant Functional Types (PFTs) maps compatible with the Community Land Model version 4 (CLM4) derived from satellite-based Land Use/Land Cover (LULC) datasets. The emission potential is calculated based on PFT-dependent emission factors provided in Guenther et al. (2012) weighted by the fractional areal coverage of the corresponding PFT class of a grid cell.

The LULC datasets are based on the MODIS PFT dataset (MCD12Q1 v006; Friedl et al., 2019) and are adjusted to match the continuous tree cover fields of the Global Forest Watch (GFW v.1.6, Hansen et al. 2013). The GFW data are based on Landsat data available at fine spatial resolution (30×30 m2).

The resulting dataset, GFWMOD, is annually updated between 2001 and 2018 and is described in detail in Opacka et al., Global and regional impacts of land cover changes on isoprene emissions derived from spaceborne data and the MEGAN model, Atmospheric Chemistry and Physics, submitted. This study indicates that the fine-resolution continuous tree cover fields provided by the GFW database in combination with discrete LULC distributions (such as those of MODIS) are presently the most promising option for constraining LULC in biogenic isoprene emission models.

The ALBERI-GFWMOD inventory was developed in the frame of the ALBERI project, funded by the Belgian Science Policy Office (BELSPO), as part of the STEREO III Earth observation programme.

  • Citation: Opacka, B., & Müller, J.-F. (2021). MEGAN-MOHYCAN global isoprene emissions accounting for space-based land cover changes [ALBERI dataset] [Data set]. Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium. https://doi.org/10.18758/71021062.
    Licence: CC-BY

Other isoprene emission datasets based on MODIS PFT and CLM

Two other datasets of isoprene emissions were developed and assessed in Opacka et al. They are available for download and use LULC PFTs from:



alberi others


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