Demonstration code and input data for 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 ORCHIDEE-MI...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.891344 2023-05-15T16:29:55+02:00 Demonstration code and input data for 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 2018-06-26 application/zip, 246.3 kBytes https://doi.pangaea.de/10.1594/PANGAEA.891344 https://doi.org/10.1594/PANGAEA.891344 en eng PANGAEA Demonstration code for Matrix-based sensitivity assessment of soil organic carbon storage used in Huang et al. 2018 (URI: https://store.pangaea.de/Publications/Huang-etal_2018/demo.pdf) https://doi.pangaea.de/10.1594/PANGAEA.891344 https://doi.org/10.1594/PANGAEA.891344 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Huang, Yuanyuan; Zhu, Dan; Ciais, Philippe; Guenet, Bertrand; Huang, Ye; Goll, Daniel S; Guimberteau, Matthieu; Jornet-Puig, Albert; Lu, Xingjie; Luo, Yiqi (2018): Matrix‐based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE‐MICT model. Journal of Advances in Modeling Earth Systems, 10, https://doi.org/10.1029/2017MS001237 Dataset 2018 ftpangaea https://doi.org/10.1594/PANGAEA.891344 https://doi.org/10.1029/2017MS001237 2023-01-20T09:11:12Z 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 ORCHIDEE-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. SOC from regions with low active layer depth (e.g., the northernmost part of America, Asia and some Greenland regions) is most vulnerable to active layer depth in terms of relative changes. 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 non-recalcitrant SOC. We envision a future with more comprehensive model inter-comparisons and assessments with an ensemble of land carbon models adopting the matrix-based sensitivity framework. Dataset Greenland PANGAEA - Data Publisher for Earth & Environmental Science Greenland |
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Open Polar |
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PANGAEA - Data Publisher for Earth & Environmental Science |
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ftpangaea |
language |
English |
description |
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 ORCHIDEE-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. SOC from regions with low active layer depth (e.g., the northernmost part of America, Asia and some Greenland regions) is most vulnerable to active layer depth in terms of relative changes. 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 non-recalcitrant SOC. We envision a future with more comprehensive model inter-comparisons and assessments with an ensemble of land carbon models adopting the matrix-based sensitivity framework. |
format |
Dataset |
author |
Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S Guimberteau, Matthieu Jornet-Puig, Albert Lu, Xingjie Luo, Yiqi |
spellingShingle |
Huang, Yuanyuan Zhu, Dan Ciais, Philippe Guenet, Bertrand Huang, Ye Goll, Daniel S Guimberteau, Matthieu Jornet-Puig, Albert Lu, Xingjie Luo, Yiqi Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
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 |
Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
title_short |
Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
title_full |
Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
title_fullStr |
Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
title_full_unstemmed |
Demonstration code and input data for Matrix-based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE-MICT model |
title_sort |
demonstration code and input data for matrix-based sensitivity assessment of soil organic carbon storage: a case study from the orchidee-mict model |
publisher |
PANGAEA |
publishDate |
2018 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.891344 https://doi.org/10.1594/PANGAEA.891344 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Supplement to: Huang, Yuanyuan; Zhu, Dan; Ciais, Philippe; Guenet, Bertrand; Huang, Ye; Goll, Daniel S; Guimberteau, Matthieu; Jornet-Puig, Albert; Lu, Xingjie; Luo, Yiqi (2018): Matrix‐based sensitivity assessment of soil organic carbon storage: A case study from the ORCHIDEE‐MICT model. Journal of Advances in Modeling Earth Systems, 10, https://doi.org/10.1029/2017MS001237 |
op_relation |
Demonstration code for Matrix-based sensitivity assessment of soil organic carbon storage used in Huang et al. 2018 (URI: https://store.pangaea.de/Publications/Huang-etal_2018/demo.pdf) https://doi.pangaea.de/10.1594/PANGAEA.891344 https://doi.org/10.1594/PANGAEA.891344 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/PANGAEA.891344 https://doi.org/10.1029/2017MS001237 |
_version_ |
1766019619453140992 |