Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model
Modeling of global soil organic carbon (SOC) is accompanied by large uncertainties. The heavy computational requirement limits our flexibility in disentangling uncertainty sources especially in high latitudes. We build a structured sensitivity analyzing framework through reorganizing the Organizing...
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ftpubmed:oai:pubmedcentral.nih.gov:6473517 2023-05-15T16:29:57+02:00 Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S. Guimberteau, Matthieu Jornet‐Puig, Albert Lu, Xingjie Luo, Yiqi 2018-08-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473517/ https://doi.org/10.1029/2017MS001237 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473517/ http://dx.doi.org/10.1029/2017MS001237 ©2018. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. CC-BY-NC-ND Research Articles Text 2018 ftpubmed https://doi.org/10.1029/2017MS001237 2019-04-28T00:25:04Z Modeling of global soil organic carbon (SOC) is accompanied by large uncertainties. The heavy computational requirement limits our flexibility in disentangling uncertainty sources especially in high latitudes. We build a structured sensitivity analyzing framework through reorganizing the Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE)‐aMeliorated Interactions between Carbon and Temperature (MICT) model with vertically discretized SOC into one matrix equation, which brings flexibility in comprehensive sensitivity assessment. Through Sobol's method enabled by the matrix, we systematically rank 34 relevant parameters according to variance explained by each parameter and find a strong control of carbon input and turnover time on long‐term SOC storages. From further analyses for each soil layer and regional assessment, we find that the active layer depth plays a critical role in the vertical distribution of SOC and SOC equilibrium stocks in northern high latitudes (>50°N). However, the impact of active layer depth on SOC is highly interactive and nonlinear, varying across soil layers and grid cells. The stronger impact of active layer depth on SOC comes from regions with shallow active layer depth (e.g., the northernmost part of America, Asia, and some Greenland regions). The model is sensitive to the parameter that controls vertical mixing (cryoturbation rate) but only when the vertical carbon input from vegetation is limited since the effect of vertical mixing is relatively small. And the current model structure may still lack mechanisms that effectively bury nonrecalcitrant SOC. We envision a future with more comprehensive model intercomparisons and assessments with an ensemble of land carbon models adopting the matrix‐based sensitivity framework. Text Greenland PubMed Central (PMC) Greenland Journal of Advances in Modeling Earth Systems 10 8 1790 1808 |
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Research Articles Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S. Guimberteau, Matthieu Jornet‐Puig, Albert Lu, Xingjie Luo, Yiqi Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
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Research Articles |
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Modeling of global soil organic carbon (SOC) is accompanied by large uncertainties. The heavy computational requirement limits our flexibility in disentangling uncertainty sources especially in high latitudes. We build a structured sensitivity analyzing framework through reorganizing the Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE)‐aMeliorated Interactions between Carbon and Temperature (MICT) model with vertically discretized SOC into one matrix equation, which brings flexibility in comprehensive sensitivity assessment. Through Sobol's method enabled by the matrix, we systematically rank 34 relevant parameters according to variance explained by each parameter and find a strong control of carbon input and turnover time on long‐term SOC storages. From further analyses for each soil layer and regional assessment, we find that the active layer depth plays a critical role in the vertical distribution of SOC and SOC equilibrium stocks in northern high latitudes (>50°N). However, the impact of active layer depth on SOC is highly interactive and nonlinear, varying across soil layers and grid cells. The stronger impact of active layer depth on SOC comes from regions with shallow active layer depth (e.g., the northernmost part of America, Asia, and some Greenland regions). The model is sensitive to the parameter that controls vertical mixing (cryoturbation rate) but only when the vertical carbon input from vegetation is limited since the effect of vertical mixing is relatively small. And the current model structure may still lack mechanisms that effectively bury nonrecalcitrant SOC. We envision a future with more comprehensive model intercomparisons and assessments with an ensemble of land carbon models adopting the matrix‐based sensitivity framework. |
format |
Text |
author |
Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S. Guimberteau, Matthieu Jornet‐Puig, Albert Lu, Xingjie Luo, Yiqi |
author_facet |
Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S. Guimberteau, Matthieu Jornet‐Puig, Albert Lu, Xingjie Luo, Yiqi |
author_sort |
Huang, Yuanyuan |
title |
Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
title_short |
Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
title_full |
Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
title_fullStr |
Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
title_full_unstemmed |
Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model |
title_sort |
matrix‐based sensitivity assessment of soil organic carbon storage: a case study from the orchidee‐mict model |
publisher |
John Wiley and Sons Inc. |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473517/ https://doi.org/10.1029/2017MS001237 |
geographic |
Greenland |
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Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473517/ http://dx.doi.org/10.1029/2017MS001237 |
op_rights |
©2018. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1029/2017MS001237 |
container_title |
Journal of Advances in Modeling Earth Systems |
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10 |
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8 |
container_start_page |
1790 |
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1808 |
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1766019655457046528 |