Satellite-based constraints on seasonal methanol emissions from terrestrial landscapes

Autor: Millet, Dylan B., Wells, K. C., Hu, L., Cady-Pereira, K., Xiao, Y., Shephard, M. W., Clerbaux, Cathy, Clarisse, L., Coheur, Pierre-François, Apel, E. C., De Gouw, J., Warneke, C., Singh, H. B., Goldstein, A. H., Sive, B. C.
Přispěvatelé: University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Atmospheric and Environmental Research, Inc. (AER), Environment and Climate Change Canada, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique, Université libre de Bruxelles (ULB), National Center for Atmospheric Research [Boulder] (NCAR), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), NASA Ames Research Center (ARC), Cardon, Catherine
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: First Conference on Atmospheric Biogeosciences
First Conference on Atmospheric Biogeosciences, May 2012, Boston, United States
Popis: Methanol (CH3OH) is the most abundant non-methane volatile organic compound in the atmosphere, with a global burden of 3-4 Tg, and is an important precursor of carbon monoxide, formaldehyde, and ozone. Here we employ an ensemble of new methanol measurements from nadir-viewing space-based sensors (TES, IASI) to better understand seasonal methanol emissions from terrestrial ecosystems worldwide. Analyzing one full year of satellite data, we find that the GEOS-Chem model, driven with MEGANv2.1 biogenic emissions, underestimates observed methanol concentrations throughout the midlatitudes in springtime, with the timing of the seasonal peak in model emissions 1-2 months too late. We attribute this discrepancy to an underestimate of emissions from new leaves in MEGAN, and apply the satellite data to better quantify the seasonal change in methanol emissions for midlatitude ecosystems. Our results enable a more realistic simulation of atmospheric methanol on the basis of IASI, TES, and ground-based measurements. We further employ the adjoint of GEOS-Chem in an inverse analysis to evaluate what constraints the satellite data can provide on methanol emission rates from different plant functional types.
Databáze: OpenAIRE