References

ACPD

Atmospheric Chemistry and Physics Discussions

ACPD

1680-7375

Copernicus GmbH

Göttingen, Germany

10.5194/acpd-11-5217-2011

First space-based derivation of the global atmospheric methanol emission fluxes

Stavrakou

¹ Guenther

² Razavi

³ Clarisse

³ Clerbaux

³ ⁴ Coheur

P.-F.

³ Hurtmans

³ Karagulian

³ ⁶ De Mazière

¹ Vigouroux

¹ Amelynck

¹ Schoon

¹ Laffineur

⁵ Heinesch

⁵ Aubinet

⁵ Müller

J.-F.

Belgian Institute for Space Aeronomy, Avenue Circulaire 3, 1180, Brussels, Belgium

Atmospheric Chemistry Division, National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder Colorado, 80305, USA

Spectroscopie de l'Atmosphère, Service de Chimie Quantique et Photophysique, Université Libre de Bruxelles, Belgium

UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France

Gembloux Agro-Bio Tech, University of Liège, Unité de Physique des Biosystèmes, Avenue de la Faculté d'Agronomie 8, 5030 Gembloux, Belgium

now at: European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy

11 02 2011

11 2 5217 5270

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys-discuss.net/11/5217/2011/acpd-11-5217-2011.html

The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/11/5217/2011/acpd-11-5217-2011.pdf

This study provides improved methanol emission estimates on the global scale, in particular for the largest methanol source, the terrestrial biosphere, and for biomass burning. To this purpose, one complete year of spaceborne measurements of tropospheric methanol columns retrieved for the first time by the thermal infrared sensor IASI aboard the MetOp satellite are compared with distributions calculated by the IMAGESv2 global chemistry-transport model. Two model simulations are performed using a priori biogenic methanol emissions either from the new MEGANv2.1 emission model, which is fully described in this work and is based on net ecosystem flux measurements, or from a previous parameterization based on net primary production by Jacob et al. (2005). A significantly better model performance in terms of both amplitude and seasonality is achieved through the use of MEGANv2.1 in most world regions, with respect to IASI data, and to surface- and air-based methanol measurements, even though important discrepancies over several regions are still present. As a second step of this study, we combine the MEGANv2.1 and the IASI column abundances over continents in an inverse modelling scheme based on the adjoint of the IMAGESv2 model to generate an improved global methanol emission source. The global optimized source totals 187 Tg yr−1 with a contribution of 100 Tg yr−1 from plants, only slightly lower than the a priori MEGANv2.1 value of 105 Tg yr−1. Large decreases with respect to the MEGANv2.1 biogenic source are inferred over Amazonia (up to 55%) and Indonesia (up to 58%), whereas more moderate reductions are recorded in the Eastern US (20–25%) and Central Africa (25–35%). On the other side, the biogenic source is found to strongly increase in the arid and semi-arid regions of Central Asia (up to a factor of 5) and Western US (factor of 2), probably due to a source of methanol specific to these ecosystems which is unaccounted for in the MEGANv2.1 inventory. Detailed comparisons of the model with a number of aircraft and surface observations of methanol, as well as new methanol measurements in Europe and in the Reunion Island show that the satellite-derived methanol emissions improve significantly the agreement with the independent data, giving thus credence to the IASI dataset.

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