author_facet Metzler, Holger
Zhu, Qing
Riley, William
Hoyt, Alison
Müller, Markus
Sierra, Carlos A.
Metzler, Holger
Zhu, Qing
Riley, William
Hoyt, Alison
Müller, Markus
Sierra, Carlos A.
author Metzler, Holger
Zhu, Qing
Riley, William
Hoyt, Alison
Müller, Markus
Sierra, Carlos A.
spellingShingle Metzler, Holger
Zhu, Qing
Riley, William
Hoyt, Alison
Müller, Markus
Sierra, Carlos A.
Journal of Advances in Modeling Earth Systems
Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
General Earth and Planetary Sciences
Environmental Chemistry
Global and Planetary Change
author_sort metzler, holger
spelling Metzler, Holger Zhu, Qing Riley, William Hoyt, Alison Müller, Markus Sierra, Carlos A. 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001776 <jats:title>Abstract</jats:title><jats:p>Radiocarbon (<jats:sup>14</jats:sup>C) 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 <jats:sup>12</jats:sup>C 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 <jats:sup>14</jats:sup>C 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 <jats:sup>12</jats:sup>C, and <jats:sup>14</jats:sup>C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error &lt;0.01%) compared with the ELMv1‐ECA <jats:sup>12</jats:sup>C and <jats:sup>14</jats:sup>C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent <jats:sup>14</jats:sup>C.</jats:p> Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics Journal of Advances in Modeling Earth Systems
doi_str_mv 10.1029/2019ms001776
facet_avail Online
Free
finc_class_facet Chemie und Pharmazie
Geologie und Paläontologie
Geographie
Physik
Technik
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE3NzY
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE3NzY
institution DE-105
DE-14
DE-Ch1
DE-L229
DE-D275
DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
imprint American Geophysical Union (AGU), 2020
imprint_str_mv American Geophysical Union (AGU), 2020
issn 1942-2466
issn_str_mv 1942-2466
language English
mega_collection American Geophysical Union (AGU) (CrossRef)
match_str metzler2020mathematicalreconstructionoflandcarbonmodelsfromtheirnumericaloutputcomputingsoilradiocarbonfromcdynamics
publishDateSort 2020
publisher American Geophysical Union (AGU)
recordtype ai
record_format ai
series Journal of Advances in Modeling Earth Systems
source_id 49
title Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_unstemmed Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_full Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_fullStr Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_full_unstemmed Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_short Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_sort mathematical reconstruction of land carbon models from their numerical output: computing soil radiocarbon from c dynamics
topic General Earth and Planetary Sciences
Environmental Chemistry
Global and Planetary Change
url http://dx.doi.org/10.1029/2019ms001776
publishDate 2020
physical
description <jats:title>Abstract</jats:title><jats:p>Radiocarbon (<jats:sup>14</jats:sup>C) 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 <jats:sup>12</jats:sup>C 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 <jats:sup>14</jats:sup>C 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 <jats:sup>12</jats:sup>C, and <jats:sup>14</jats:sup>C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error &lt;0.01%) compared with the ELMv1‐ECA <jats:sup>12</jats:sup>C and <jats:sup>14</jats:sup>C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent <jats:sup>14</jats:sup>C.</jats:p>
container_issue 1
container_start_page 0
container_title Journal of Advances in Modeling Earth Systems
container_volume 12
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792348202397073408
geogr_code not assigned
last_indexed 2024-03-01T18:07:25.986Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Mathematical+Reconstruction+of+Land+Carbon+Models+From+Their+Numerical+Output%3A+Computing+Soil+Radiocarbon+From+C+Dynamics&rft.date=2020-01-01&genre=article&issn=1942-2466&volume=12&issue=1&jtitle=Journal+of+Advances+in+Modeling+Earth+Systems&atitle=Mathematical+Reconstruction+of+Land+Carbon+Models+From+Their+Numerical+Output%3A+Computing+Soil+Radiocarbon+From+C+Dynamics&aulast=Sierra&aufirst=Carlos+A.&rft_id=info%3Adoi%2F10.1029%2F2019ms001776&rft.language%5B0%5D=eng
SOLR
_version_ 1792348202397073408
author Metzler, Holger, Zhu, Qing, Riley, William, Hoyt, Alison, Müller, Markus, Sierra, Carlos A.
author_facet Metzler, Holger, Zhu, Qing, Riley, William, Hoyt, Alison, Müller, Markus, Sierra, Carlos A., Metzler, Holger, Zhu, Qing, Riley, William, Hoyt, Alison, Müller, Markus, Sierra, Carlos A.
author_sort metzler, holger
container_issue 1
container_start_page 0
container_title Journal of Advances in Modeling Earth Systems
container_volume 12
description <jats:title>Abstract</jats:title><jats:p>Radiocarbon (<jats:sup>14</jats:sup>C) 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 <jats:sup>12</jats:sup>C 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 <jats:sup>14</jats:sup>C 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 <jats:sup>12</jats:sup>C, and <jats:sup>14</jats:sup>C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error &lt;0.01%) compared with the ELMv1‐ECA <jats:sup>12</jats:sup>C and <jats:sup>14</jats:sup>C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent <jats:sup>14</jats:sup>C.</jats:p>
doi_str_mv 10.1029/2019ms001776
facet_avail Online, Free
finc_class_facet Chemie und Pharmazie, Geologie und Paläontologie, Geographie, Physik, Technik
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDE5bXMwMDE3NzY
imprint American Geophysical Union (AGU), 2020
imprint_str_mv American Geophysical Union (AGU), 2020
institution DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1
issn 1942-2466
issn_str_mv 1942-2466
language English
last_indexed 2024-03-01T18:07:25.986Z
match_str metzler2020mathematicalreconstructionoflandcarbonmodelsfromtheirnumericaloutputcomputingsoilradiocarbonfromcdynamics
mega_collection American Geophysical Union (AGU) (CrossRef)
physical
publishDate 2020
publishDateSort 2020
publisher American Geophysical Union (AGU)
record_format ai
recordtype ai
series Journal of Advances in Modeling Earth Systems
source_id 49
spelling Metzler, Holger Zhu, Qing Riley, William Hoyt, Alison Müller, Markus Sierra, Carlos A. 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001776 <jats:title>Abstract</jats:title><jats:p>Radiocarbon (<jats:sup>14</jats:sup>C) 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 <jats:sup>12</jats:sup>C 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 <jats:sup>14</jats:sup>C 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 <jats:sup>12</jats:sup>C, and <jats:sup>14</jats:sup>C in 7 soil pools and 10 vertical layers. Results from our proposed method are highly accurate (relative error &lt;0.01%) compared with the ELMv1‐ECA <jats:sup>12</jats:sup>C and <jats:sup>14</jats:sup>C predictions, demonstrating the potential to use this approach in CMIP6 and other model simulations that do not explicitly represent <jats:sup>14</jats:sup>C.</jats:p> Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics Journal of Advances in Modeling Earth Systems
spellingShingle Metzler, Holger, Zhu, Qing, Riley, William, Hoyt, Alison, Müller, Markus, Sierra, Carlos A., Journal of Advances in Modeling Earth Systems, Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics, General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change
title Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_full Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_fullStr Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_full_unstemmed Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_short Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
title_sort mathematical reconstruction of land carbon models from their numerical output: computing soil radiocarbon from c dynamics
title_unstemmed Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics
topic General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change
url http://dx.doi.org/10.1029/2019ms001776