We present a time-dependent inverse modeling approach to estimate the magnitude of CH4 emissions and the average isotopic signature of the combined source processes from geographical regions based on the observed spatiotemporal distribution of CH4 and C-13/C-12 isotopic ratios in CH4. The inverse estimates of the isotopic signature of the sources are used to partition the regional source estimates into three groups of source processes based on their isotopic signatures. Compared with bottom-up estimates, the inverse estimates call for larger CH4 fluxes in the tropics (266 +/- 25 Tg CH4/yr) and southern extratropics (98 +/- 15 Tg CH4/yr) and reduced fluxes in the northern extratropics (252 +/- 18 Tg CH4/yr). The observations of C-13/C-12 iso...
Methane (CH4) is a powerful greenhouse gas, whose natural and anthropogenic emissions contribute ...
Several inverse modelling investigated global CH4 sources. These studies optimized emissions from la...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimi- late m...
We present a time-dependent inverse modeling approach to estimate the magnitude of CH<sub>4</sub> em...
A time-dependent inverse modeling approach that estimates the global magnitude of atmospheric methan...
A time-dependent inverse modeling approach that estimates the global magnitude of atmospheric methan...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
International audienceAtmospheric CH4 mole fractions resumed their increase in 2007 after a plateau ...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate meas...
Methane (CH4) is a powerful greenhouse gas, whose natural and anthropogenic emissions contribute ...
Several inverse modelling investigated global CH4 sources. These studies optimized emissions from la...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimi- late m...
We present a time-dependent inverse modeling approach to estimate the magnitude of CH<sub>4</sub> em...
A time-dependent inverse modeling approach that estimates the global magnitude of atmospheric methan...
A time-dependent inverse modeling approach that estimates the global magnitude of atmospheric methan...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
The aim of this paper is to present an overview of inverse modeling methods that have been developed...
International audienceAtmospheric CH4 mole fractions resumed their increase in 2007 after a plateau ...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate meas...
Methane (CH4) is a powerful greenhouse gas, whose natural and anthropogenic emissions contribute ...
Several inverse modelling investigated global CH4 sources. These studies optimized emissions from la...
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimi- late m...