We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane columns over North America in a high-resolution inversion of methane emissions, including contributions from different sectors and their trends over the period. The inversion involves an analytical solution to the Bayesian optimization problem for a Gaussian mixture model (GMM) of the emission field with up to 0:5-0:625 resolution in concentrated source regions. The analytical solution provides a closedform characterization of the information content from the inversion and facilitates the construction of a large ensemble of solutions exploring the effect of different uncertainties and assumptions in the inverse analysis. Prior estimates for the...
We use 7 years (2010–2016) of methane column observations from the Greenhouse Gases Observing Satell...
We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOS...
International audienceWe employed a global high-resolution inverse model to optimize the CH 4 emissi...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010–2015 observations of atmospheric methane columns from the GOSAT satellite instrument in ...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We use satellite (GOSAT) and in situ (GLOB ALVIEWplus CH4 ObsPack) observations of atmospheric metha...
We use satellite (GOSAT) and in situ (GLOB ALVIEWplus CH4 ObsPack) observations of atmospheric metha...
We use 7 years (2010–2016) of methane column observations from the Greenhouse Gases Observing Satell...
We use 7 years (2010–2016) of methane column observations from the Greenhouse Gases Observing Satell...
We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOS...
International audienceWe employed a global high-resolution inverse model to optimize the CH 4 emissi...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010 2015 Greenhouse Gases Observing Satellite (GOSAT) observations of atmospheric methane co...
We use 2010–2015 observations of atmospheric methane columns from the GOSAT satellite instrument in ...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We use satellite (GOSAT) and in situ (GLOB ALVIEWplus CH4 ObsPack) observations of atmospheric metha...
We use satellite (GOSAT) and in situ (GLOB ALVIEWplus CH4 ObsPack) observations of atmospheric metha...
We use 7 years (2010–2016) of methane column observations from the Greenhouse Gases Observing Satell...
We use 7 years (2010–2016) of methane column observations from the Greenhouse Gases Observing Satell...
We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOS...
International audienceWe employed a global high-resolution inverse model to optimize the CH 4 emissi...