Methane is an important atmospheric greenhouse gas and an adequate understanding of its emission sources is needed for climate change assessments, predictions, and the development and verification of emission mitigation strategies. Satellite retrievals of near-surface-sensitive column-averaged dry-air mole fractions of atmospheric methane, i.e. XCH4, can be used to quantify methane emissions. Maps of time-averaged satellite-derived XCH4 show regionally elevated methane over several methane source regions. In order to obtain methane emissions of these source regions we use a simple and fast data-driven method to estimate annual methane emissions and corresponding 1σ uncertainties directly from maps of annually averaged satellite XCH4. From t...
Inland aquatic systems, such as reservoirs, contribute substantially to global methane (CH4) emissio...
Abstract: Methane is a strong greenhouse gas, with a higher radiative forcing per unit mass and shor...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate meas...
Methane is an important atmospheric greenhouse gas and an adequate understanding of its emission sou...
Abstract: Methane is an important greenhouse gas due to its high warming potential. While quantifyin...
Methane is a greenhouse gas emitted by a range of natural and anthropogenic sources. Atmospheric me...
Methane (CH_4) is a potent greenhouse gas and ozone precursor. Quantifying methane emissions is crit...
We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOS...
Methane (CH4) is an important greenhouse gas, naturally produced by bio-degradation of organic mater...
Understanding, prioritizing, and mitigating methane (CH4) emissions requires quantifying CH4 budgets...
We present a new divergence method to estimated methane (CH4) emissions from satellite observed mean...
Methane is the second most important anthropogenic greenhouse gas and there is renewed strong increa...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We estimate methane emissions from North America with high spatial resolution by inversion of Scanni...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimi- late m...
Inland aquatic systems, such as reservoirs, contribute substantially to global methane (CH4) emissio...
Abstract: Methane is a strong greenhouse gas, with a higher radiative forcing per unit mass and shor...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate meas...
Methane is an important atmospheric greenhouse gas and an adequate understanding of its emission sou...
Abstract: Methane is an important greenhouse gas due to its high warming potential. While quantifyin...
Methane is a greenhouse gas emitted by a range of natural and anthropogenic sources. Atmospheric me...
Methane (CH_4) is a potent greenhouse gas and ozone precursor. Quantifying methane emissions is crit...
We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOS...
Methane (CH4) is an important greenhouse gas, naturally produced by bio-degradation of organic mater...
Understanding, prioritizing, and mitigating methane (CH4) emissions requires quantifying CH4 budgets...
We present a new divergence method to estimated methane (CH4) emissions from satellite observed mean...
Methane is the second most important anthropogenic greenhouse gas and there is renewed strong increa...
We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factor...
We estimate methane emissions from North America with high spatial resolution by inversion of Scanni...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimi- late m...
Inland aquatic systems, such as reservoirs, contribute substantially to global methane (CH4) emissio...
Abstract: Methane is a strong greenhouse gas, with a higher radiative forcing per unit mass and shor...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate meas...