MEGAN-MOHYCAN : The ALBERI isoprene emission inventory 2001-2018

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


isop satLULC

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Below we provide global monthly biogenic isoprene emissions (in kg m-2 s-1) at 0.5°x0.5° 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.

 

ALBERI - CLM

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ALBERI - MODIS

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ALBERI - GFW-MODIS

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

 

About the dataset

The ALBERI dataset comprises three bottom-up inventories 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. The inventories were produced using Plant Functional Types (PFTs) maps at annual time steps derived from satellite-based Land Use/Land Cover (LULC) products. 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 ALBERI datasets are based on the following LULC PFT maps:

  •  CLM: static, satellite-based land cover map comprising 16 PFTs representative of the present day vegetation cover and compatible with the Community Land Model (CLM4), available in the standard offline version of MEGANv2.1 model (Lawrence and Chase, 2007; Lawrence et al., 2011).


Two spaceborne datasets updated annually and covering the 2001-2018 period are:

  •  MODIS: based on MODIS PFT (MCD12Q1 v006) available with 12 PFTs (Friedl et al., 2019).
  •  GFW-MODIS: MODIS PFT dataset modified to match the Global Forest Watch (GFW) datasets of the tree cover distributions from Hansen et al. (2013) (v.1.6) based on 30-m Landsat data. The total tree cover gain over 2000-2012 was implemented by assuming a linear increase over the entire period, extended until 2018.                        

In all cases, the subdivision in climate zones and the C3/C4 photosynthetic paths are obtained based Poulter et al. (2011) with minor adjustments. This table establishes a simplified correspondence between the Köppen-Geiger classes and climate zones defined on the basis of temperature criteria.  We used the 0.5° global Köppen-Geiger climate classification maps for the present-day (1980-2016) from Beck et al. (2018).


The datasets are 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. They have been developed as part of the ALBERI project (https://alberi.aeronomie.be), funded by the Belgian Science Policy Office (BELSPO), as part of the STEREO III Earth observation programme (https://eo.belspo.be).

 

References

Beck, H.E., Zimmermann, N.E., McVicar, T.R., Vergopolan, N., Berg, A., and Wood, E.F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution, Sci. data, 5, doi:10.1038/sdata.2018.214, 2018.

Friedl, M., and  Sulla-Menashe, D.: MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006, NASA EOSDIS Land Processes DAAC, doi: 10.5067/MODIS/MCD12Q1.006, 2019.

Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471-1492, doi: 10.5194/gmd-5-1471-2012, 2012.

Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., and Kommareddy, A.: High-resolution global maps of 21st-century forest cover change., Science, 342, 850-853, doi:10.1126/science.1244693, 2013.

Lawrence, P. J. and Chase, T. N.: Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0), J. Geophys. Res., 112, doi:10.1029/2006JG000168, 2007.

Lawrence, D.M., Oleson, K.W., Flanner, M.G., Thornton, P.E., Swenson, S.C., Lawrence, P.J., Zeng, X., Yang, Z.L., Levis, S., Sakaguchi, K. and Bonan, G.B., and Slater, A. G.: Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model, J. Adv. Model. Earth Syst., 3, M03001, doi:10.1029/2011MS00045, 2011.

Müller, J.-F., Stavrakou, T., Wallens, S., De Smedt, I., Van Roozendael, M., Potosnak, M. J., Rinne, J., Munger, B., Goldstein, A., and Guenther, A. B.: Global isoprene emissions estimates using MEGAN, ECMWF analyses and a detailed canopy environment model, Atmos. Chem. Phys., 8, 1329-1341, doi: 10.5194/acp-8-1329-2008, 2008.

Poulter, B., Ciais, P., Hodson, E., Lischke, H., Maignan, F., Plummer, S., and Zimmermann, N.E.: Plant functional type mapping for earth system models, Geosci. Model Dev., 4, 993-1010, doi: 10.5194/gmd-4-1-2011, 2011.