منابع مشابه
An improved Kalman Smoother for atmospheric inversions
We explore the use of a fixed-lag Kalman smoother for sequential estimation of atmospheric carbon dioxide fluxes. This technique takes advantage of the fact that most of the information about the spatial distribution of sources and sinks is observable within a few months to half of a year of emission. After this period, the spatial structure of sources is diluted by transport and cannot signifi...
متن کاملSystematic measurement errors in atmospheric CO2 inversions
The effect of systematic measurement errors on atmospheric CO2 inversions: a quantitative assessment C. Rödenbeck, T. J. Conway, and R. Langenfelds Max Planck Institute for Biogeochemistry, Jena, Germany NOAA Climate Monitoring and Diagnostics Laboratory, Boulder CO, USA Commonwealth Scientific and Industrial Research Organisation, Australia Received: 25 July 2005 – Accepted: 26 August 2005 – P...
متن کاملOn error estimation in atmospheric CO2 inversions
[1] This paper explores various sources of error in atmospheric CO2 synthesis inversions using global circulation models. The estimation of prior, observation, model transport, and representation errors is described, and the latter two error sources are explored in more detail. Not accounting for these errors will act as a hard constraint on the inversion and will produce incorrect solutions to...
متن کاملOn the optimality of satellite-based CO2 atmospheric inversions
Introduction Conclusions References
متن کاملThe effect of systematic measurement errors on atmospheric CO2 inversions: a quantitative assessment
Surface-atmosphere exchange fluxes of CO2, estimated by an interannual atmospheric transport inversion from atmospheric mixing ratio measurements, are affected by several sources of errors, one of which is experimental errors. Quantitative information about such measurement errors can be obtained from regular co-located measurements done by different laboratories or using different experimental...
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ژورنال
عنوان ژورنال: Nature Astronomy
سال: 2017
ISSN: 2397-3366
DOI: 10.1038/s41550-017-0270-6