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Major themes | Theme 1 | CCDAS

CCDAS (Carbon Cycle Data Assimilation System)

CCDAS was a research activity pursued by core team members Marko Scholze and Wolfgang Knorr. It is part of CAMELS, an EU funded project on "Carbon Assimilation and Modelling of the European Land Surface", forming part of the CarboEurope cluster of projects.  One of the aims of CAMELS was to produce a prototype carbon cycle data assimilation system (CCDAS) exploiting existing data sources (e.g.  flux measurements, carbon inventory data, satellite products) and the latest terrestrial ecosystem models, in order to produce operational estimates of "Kyoto sinks".

The global-scale carbon cycle modelling uses data assimilation techniques to constrain and improve understanding of the current carbon cycle and predictions of future changes in the global carbon cycle. Currently, there is a terrestrial carbon cycle system based on the ecosystem model BETHY (Biosphere-Energy Transfer Hydrology Scheme). The developments made to CCDAS in the early stages of QUEST were built upon further in CCMAP.

Collaborations exist with Jens Kattge (MPI Jena), Thomas Kaminski (FastOpt, Hamburg) and Peter Rayner (LSCE, Paris).

Together they aimed to expand CCDAS in several ways, by:

  1. Adding local eddy flux station data and other valuable data sets (collaboration with Jens Kattge)
  2. Full assimilation of satellite derived "greenness" (FAPAR = FrAction of Photosynthetically Active Radiation.  Finance from the European Space Agency, contract with FastOpt, Hamburg)
  3. Adding fire modelling and remote sensing of fires
  4. Adding an ocean component
  5. Including JULES within CCDAS (collaboration with Chris D. Jones, Hadley Centre, and Peter Cox, U Exeter)
  6. Applying CCDAS techniques in a coupled climate-carbon cycle model framework