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High-resolution constraints on North American and global methane sources using satellites
Daniel
J.
Jacob, Harvard, djacob@fas.harvard.edu
(Presenter)
We use satellite observations to improve knowledge of methane fluxes, with particular focus on North American anthropogenic emissions and on wetlands. Satellite observations of atmospheric methane (SCIAMACHY, GOSAT, TROPOMI) are a unique resource for constraining methane fluxes in combination with suborbital observations and state-of-science bottom-up inventories. We use advanced inverse methods based on the GEOS-Chem chemical transport model and its adjoint to exploit the power of satellite observations for constraining methane fluxes with unprecedented spatial resolution and full error characterization. We also produce a new gridded version of the US EPA national inventory, and a new gridded global inventory of wetland emissions based on satellite inundation data and the MsTMIP terrestrial ecosystem model ensemble. These gridded bottom-up inventories including uncertainties serve as a priori in our inversions, and correction factors from the inversions can then be used to guide inventory improvements. We conduct inverse analyses using the full GOSAT record from 2009 through present. Our work with GOSAT will put us in position to exploit the TROPOMI data as soon as they are available. Associated Project(s):
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