气候变化领域集成服务门户(CCPortal): Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From 12C Dynamics

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DOI	10.1029/2019MS001776
	Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From 12C Dynamics
	Metzler H.; Zhu Q.; Riley W.; Hoyt A.; Müller M.; Sierra C.A.
发表日期	2020
ISSN	19422466
卷号	12 期号:1
英文摘要	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. © 2019. The Authors.
英文关键词	carbon cycle models; compartmental systems; dynamical systems; Earth system models; model diagnostics; radiocarbon
语种	英语
scopus关键词	Benchmarking; Dynamical systems; Dynamics; Lakes; Matrix algebra; Carbon cycle models; Compartmental systems; Earth system model; Model diagnostics; radiocarbon; Carbon; carbon cycle; carbon isotope; carbon sequestration; climate modeling; CMIP; hydrocarbon seep; radiocarbon dating; reconstruction; reservoir; simulation
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156778
作者单位	Max Planck Institute for Biogeochemistry, Jena, Germany; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
推荐引用方式 GB/T 7714	Metzler H.,Zhu Q.,Riley W.,et al. Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From 12C Dynamics[J],2020,12(1).
APA	Metzler H.,Zhu Q.,Riley W.,Hoyt A.,Müller M.,&Sierra C.A..(2020).Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From 12C Dynamics.Journal of Advances in Modeling Earth Systems,12(1).
MLA	Metzler H.,et al."Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From 12C Dynamics".Journal of Advances in Modeling Earth Systems 12.1(2020).