Regional-scale inverse modeling of atmospheric carbon dioxide (CO2) holds promise to determine the net CO2 fluxes between the land biosphere and the atmosphere. This approach requires not only high fidelity of atmospheric transport and mixing, but also an accurate estimation of the contribution of the anthropogenic and background CO2 signals to isolate the biospheric CO2 signal from the atmospheric CO2 variations. Thus, uncertainties in any of these three components directly impact the quality of the biospheric flux inversion. Here, we present and evaluate a carbon monoxide (CO)-based method to reduce these uncertainties solely on the basis of co-located observations. To this end, we use simultaneous observations of CO2 and CO from a backgr...
This paper demonstrates that atmospheric inversions of CO2 are a reliable tool for estimating region...
We present an analysis framework and illustrate its potential to constrain terrestrial carbon fluxes...
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over complex ter...
Regional-scale inverse modeling of atmospheric carbon dioxide (CORegional-scale inverse modeling of ...
In this study, we investigated the regional contributions of carbon dioxide (CO2) at the location of...
In order to devise strategies to reduce atmospheric CO2 concentrations and predict their future traj...
International audience[1] A regional variational inverse modeling system for the estimation of Europ...
© 2011 American Geophysical UnionA regional variational inverse modeling system for the estimation o...
Atmospheric inversions allow us to estimate the terrestrial carbon sink by combining atmospheric obs...
We describe a new rural network of four densely placed (< 100 km apart), continuous atmospheric carb...
[1] A three-dimensional (3-D) inverse modeling scheme is used to constrain the direct surface emissi...
International audienceWe provide a review description of atmospheric inversion methods for the deter...
International audienceWe present a method to derive atmospheric-observation-based estimates of carbo...
Abstract. Inverse modeling of anthropogenic and biospheric CO2 fluxes from ground-based and satellit...
This paper demonstrates that atmospheric inversions of CO2 are a reliable tool for estimating region...
We present an analysis framework and illustrate its potential to constrain terrestrial carbon fluxes...
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over complex ter...
Regional-scale inverse modeling of atmospheric carbon dioxide (CORegional-scale inverse modeling of ...
In this study, we investigated the regional contributions of carbon dioxide (CO2) at the location of...
In order to devise strategies to reduce atmospheric CO2 concentrations and predict their future traj...
International audience[1] A regional variational inverse modeling system for the estimation of Europ...
© 2011 American Geophysical UnionA regional variational inverse modeling system for the estimation o...
Atmospheric inversions allow us to estimate the terrestrial carbon sink by combining atmospheric obs...
We describe a new rural network of four densely placed (< 100 km apart), continuous atmospheric carb...
[1] A three-dimensional (3-D) inverse modeling scheme is used to constrain the direct surface emissi...
International audienceWe provide a review description of atmospheric inversion methods for the deter...
International audienceWe present a method to derive atmospheric-observation-based estimates of carbo...
Abstract. Inverse modeling of anthropogenic and biospheric CO2 fluxes from ground-based and satellit...
This paper demonstrates that atmospheric inversions of CO2 are a reliable tool for estimating region...
We present an analysis framework and illustrate its potential to constrain terrestrial carbon fluxes...
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over complex ter...