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From:Atmospheric Chemistry and Physics (Vol. 21, Issue 18) Peer-ReviewedFeedbacks between the climate system and the carbon cycle represent a key source of uncertainty in model projections of Earth's climate, in part due to our inability to directly measure large-scale biosphere-atmosphere...
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From:Atmospheric Chemistry and Physics (Vol. 18, Issue 1) Peer-ReviewedByline: Sean Hartery, Ró,isí,n Commane, Jakob Lindaas, Colm Sweeney, John Henderson, Marikate Mountain, Nicholas Steiner, Kyle McDonald, Steven J. Dinardo, Charles E. Miller, Steven C. Wofsy, Rachel Y.-W. Chang...
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From:Geoscientific Model Development (Vol. 11, Issue 8) Peer-Reviewed
We have implemented a regional carbon dioxide data assimilation system based on the CarbonTracker Data Assimilation Shell (CTDAS) and a high-resolution Lagrangian transport model, the Stochastic Time-Inverted...
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From:Geoscientific Model Development (Vol. 14, Issue 7) Peer-ReviewedThe number of greenhouse gas (GHG) observing satellites has greatly expanded in recent years, and these new datasets provide an unprecedented constraint on global GHG sources and sinks. However, a continuing challenge...
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From:Proceedings of the National Academy of Sciences of the United States (Vol. 111, Issue 47) Peer-ReviewedAbstract Only
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From:Geoscientific Model Development (Vol. 13, Issue 3) Peer-ReviewedGeostatistical inverse modeling (GIM) has become a common approach to estimating greenhouse gas fluxes at the Earth's surface using atmospheric observations. GIMs are unique relative to other commonly used approaches...
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From:Proceedings of the National Academy of Sciences of the United States (Vol. 113, Issue 11) Peer-ReviewedAbstract Only