Biogeosciences
Biogeosciences
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Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
13 Mar 2020
Research article |  | 13 Mar 2020

Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking

Samantha J. Basile, Xin Lin, William R. Wieder, Melannie D. Hartman, and Gretchen Keppel-Aleks

Supplement

https://doi.org/10.5194/bg-17-1293-2020-supplement

Data sets

Simulated CO2 dataset using the atmospheric transport model GEOSChem v12.0.0: Response to regional land carbon fluxes S. Basile, X. Lin, G. Keppel-Aleks https://doi.org/10.7302/xjzc-xy05

CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate University of East Anglia Climatic Research Unit https://doi.org/10.5285/D0E1585D-3417-485F-87AE-4FCECF10A992

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Short summary
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
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