Constraining predictions of the carbon cycle using data

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We use a carbon-cycle data assimilation system to estimate the terrestrial biospheric CO2 flux until 2090. The terrestrial sink increases rapidly and the increase is stronger in the presence of climate change. Using a linearized model, we calculate the uncertainty in the flux owing to uncertainty in model parameters. The uncertainty is large and is dominated by the impact of soil moisture on heterotrophic respiration. We show that this uncertainty can be greatly reduced by constraining the model parameters with two decades of atmospheric measurements.


  • P. J. Rayner
  • E. Koffi
  • M. Scholze
  • T. Kaminski
  • J. L. Dufresne
Externa organisationer
  • University of Bristol
  • Fastopt GmbH
  • Saclay Nuclear Research Centre
  • Pierre and Marie Curie University

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Naturgeografi
  • Oceanografi, hydrologi, vattenresurser


Sidor (från-till)1955-1966
Antal sidor12
TidskriftPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Utgåva nummer1943
StatusPublished - 2011 maj 28
Peer review utfördJa
Externt publiceradJa