4.7 Article

Compiled records of carbon isotopes in atmospheric CO2 for historical simulations in CMIP6

期刊

GEOSCIENTIFIC MODEL DEVELOPMENT
卷 10, 期 12, 页码 4405-4417

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-10-4405-2017

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资金

  1. CSIRO
  2. US National Science Foundation
  3. Department of Energy
  4. NASA [1304270, DE-SC0012167, NNX17AE74G]
  5. Eric and Wendy Schmidt Fund for Strategic Innovation
  6. NOAA Climate Program Office
  7. Heidelberg Academy of Sciences
  8. Ministry of Education and Science, Baden-Wurttemberg, Germany
  9. German Science Foundation
  10. German Ministry of the Environment
  11. German Ministry of Science and Technology
  12. German Umweltbundesamt
  13. European Commission, Brussels
  14. national funding agency in Australia
  15. national funding agency in Canada
  16. national funding agency in Spain
  17. European Commission through a Marie Curie Career Integration Grant
  18. NASA [1002252, NNX17AE74G] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The isotopic composition of carbon (Delta C-14 and delta C-13) in atmospheric CO2 and in oceanic and terrestrial carbon reservoirs is influenced by anthropogenic emissions and by natural carbon exchanges, which can respond to and drive changes in climate. Simulations of C-14 and C-13 in the ocean and terrestrial components of Earth system models (ESMs) present opportunities for model evaluation and for investigation of carbon cycling, including anthropogenic CO2 emissions and uptake. The use of carbon isotopes in novel evaluation of the ESMs' component ocean and terrestrial biosphere models and in new analyses of historical changes may improve predictions of future changes in the carbon cycle and climate system. We compile existing data to produce records of Delta C-14 and delta C-13 in atmospheric CO2 for the historical period 1850-2015. The primary motivation for this compilation is to provide the atmospheric boundary condition for historical simulations in the Coupled Model Intercomparison Project 6 (CMIP6) for models simulating carbon isotopes in the ocean or terrestrial biosphere. The data may also be useful for other carbon cycle modelling activities.

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