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dc.contributor.authorKNORR W.en_GB
dc.contributor.authorGOBRON NADINEen_GB
dc.contributor.authorSCHOLZE M.en_GB
dc.contributor.authorRAYNER P.en_GB
dc.contributor.authorKAMINSKI T.en_GB
dc.contributor.authorGIERING R.en_GB
dc.contributor.authorWIDMANN H.en_GB
dc.contributor.authorKATTGE J.en_GB
dc.identifier.citationProceedings of ECMWF/ELDAS Workshop on Land Surface Assimilation p. 213-219en_GB
dc.description.abstractWe present the Carbon Cycle Data Assimilation System (CCDAS), which is built around the Biosphere Energy Transfer HYdrology Scheme (BETHY), coupled to the atmospheric transport model TM2. In its current form, the system uses a two-step assimilation procedure to estimate 57 model parameters from both satellite observed vegetation activity and atmospheric carbon dioxide samples. Observational uncertainties are mapped back on parameter uncertainties. These parameter uncertainties are then projected forward to important diagnostics such as regional carbon budgets. CCDAS includes BETHY's adjoint, Jacobian, and Hessian codes, which are provided by automatic differentiation (AD) of the BETHY code. This automated procedure allows quick updates of CCDAS after modifications of BETHY. We also report on the preparation of fraction of Absorbed Photosynthetically Active Radiation (fAPAR) data provided by SeaWiFS for use in CCDAS. Analysis of this fAPAR data suggests a time lag against precipitation of one to several months. A reaction of the terrestrial biosphere at such timescales carries promises for medium-range to seasonal prediction.en_GB
dc.description.sponsorshipJRC.H.3-Global environement monitoringen_GB
dc.titleCarbon and fAPAR Assimilation within CCDASen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Sustainable Resources

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