Articles | Volume 15, issue 2
https://doi.org/10.5194/cp-15-795-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-15-795-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2019
Research article |
| 17 Apr 2019
| 17 Apr 2019
Sensitivity of a leaf gas-exchange model for estimating paleoatmospheric CO2 concentration
Department of Earth and Environmental Sciences, Wesleyan University,
Middletown, Connecticut, USA
Kylen M. Moynihan
Department of Earth and Environmental Sciences, Wesleyan University,
Middletown, Connecticut, USA
Melissa L. McKee
Department of Earth and Environmental Sciences, Wesleyan University,
Middletown, Connecticut, USA
Liliana Londoño
Smithsonian Tropical Research Institute, Balboa, Ancón, Republic
of Panamá
Peter J. Franks
Faculty of Agriculture and Environment, University of Sydney, Sydney,
New South Wales, Australia
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The Deep-Time Model Intercomparison Project (DeepMIP) is a model–data intercomparison of the early Eocene (around 55 million years ago), the last time that Earth's atmospheric CO2 concentrations exceeded 1000 ppm. Previously, we outlined the experimental design for climate model simulations. Here, we outline the methods used for compilation and analysis of climate proxy data. The resulting climate
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Short summary
Short summary
The Deep-Time Model Intercomparison Project (DeepMIP) is a model–data intercomparison of the early Eocene (around 55 million years ago), the last time that Earth's atmospheric CO2 concentrations exceeded 1000 ppm. Previously, we outlined the experimental design for climate model simulations. Here, we outline the methods used for compilation and analysis of climate proxy data. The resulting climate
atlaswill provide insights into the mechanisms that control past warm climate states.
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Short summary
Plant-based proxies for estimating atmospheric CO2 in the geologic past are becoming more popular. Here we test the reliability of a method based on leaf gas-exchange principles in a wide range of living plants. Overall, the average error rate (~28 %) is broadly similar to other paleo-CO2 proxies. Our results should increase confidence in using this recently developed method.
Plant-based proxies for estimating atmospheric CO2 in the geologic past are becoming more...
