Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics

Metzler, Holger; Zhu, Qing; Riley, William; Hoyt, Alison; Müller, Markus; Sierra, Carlos A.

doi:10.1029/2019ms001776

Title: Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics

Journal Article · 20 December 2019 · Journal of Advances in Modeling Earth Systems

DOI: https://doi.org/10.1029/2019ms001776 · OSTI ID:1631615

Metzler, Holger ^[1]; Zhu, Qing ^[2]; Riley, William ^[2]; Hoyt, Alison ^[3]; Müller, Markus ^[1]; Sierra, Carlos A. ^[1]

Max Planck Institute for Biogeochemistry Jena (Germany)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Max Planck Institute for Biogeochemistry Jena (Germany); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Radiocarbon (¹⁴C) is a powerful tracer of the global carbon cycle that is commonly used to assess carbon cycling rates in various Earth system reservoirs and as a benchmark to assess model performance. Therefore, it has been recommended that Earth System Models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 report predicted radiocarbon values for relevant carbon pools. However, a detailed representation of radiocarbon dynamics may be an impractical burden on model developers. Here, we present an alternative approach to compute radiocarbon values from the numerical output of an ESM that does not explicitly represent these dynamics. The approach requires computed ¹²C stocks and fluxes among all carbon pools for a particular simulation of the model. From this output, a time-dependent linear compartmental system is computed with its respective state-transition matrix. Using transient atmospheric ¹⁴C values as inputs, the state-transition matrix is then applied to compute radiocarbon values for each pool, the average value for the entire system, and component fluxes. We demonstrate the approach with ELMv1-ECA, the land component of an ESM model that explicitly represents ¹²C, and ¹⁴C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error <0.01%) compared with the ELMv1-ECA ¹²C and ¹⁴C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent ¹⁴C.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1631615

Journal Information:: Journal of Advances in Modeling Earth Systems, Vol. 12, Issue 1; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 4 works

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