Evaluating the simulated mean soil carbon transit times by Earth system models using observations
One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time ( τ soil ), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we construc...
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Online Access: | http://www.osti.gov/servlets/purl/1502524 https://www.osti.gov/biblio/1502524 https://doi.org/10.5194/bg-16-917-2019 |
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ftosti:oai:osti.gov:1502524 2023-07-30T04:07:21+02:00 Evaluating the simulated mean soil carbon transit times by Earth system models using observations Wang, Jing Xia, Jianyang Zhou, Xuhui Huang, Kun Zhou, Jian Huang, Yuanyuan Jiang, Lifen Xu, Xia Liang, Junyi Wang, Ying-Ping Cheng, Xiaoli Luo, Yiqi 2023-06-29 application/pdf http://www.osti.gov/servlets/purl/1502524 https://www.osti.gov/biblio/1502524 https://doi.org/10.5194/bg-16-917-2019 unknown http://www.osti.gov/servlets/purl/1502524 https://www.osti.gov/biblio/1502524 https://doi.org/10.5194/bg-16-917-2019 doi:10.5194/bg-16-917-2019 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.5194/bg-16-917-2019 2023-07-11T09:32:07Z One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time ( τ soil ), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we constructed a global database of measured τ soil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τ soil was dramatically shorter from the soil incubation studies in the laboratory environment (median = 4 years; interquartile range = 1 to 25 years) than that derived from field in situ measurements (31; 5 to 84 years) with shifts in stable isotopic C( 13 C ) or the stock-over-flux approach. In comparison with the field observations, the multi-model ensemble simulated a shorter median (19 years) anda smaller spatial variation (6 to 29 years) of τ soil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τ soil and mean annual air temperature. The underestimations of modeled τ soil are mainly located in cold and dry biomes, especially tundra and desert.Furthermore, we showed that one ESM (i.e., CESM) has improved its τ soil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τ soil is a useful benchmark for ESMs, and we recommend more observations and modeling efforts on soil C dynamics in regions limited by temperature and moisture. Other/Unknown Material Tundra SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Biogeosciences 16 4 917 926 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Wang, Jing Xia, Jianyang Zhou, Xuhui Huang, Kun Zhou, Jian Huang, Yuanyuan Jiang, Lifen Xu, Xia Liang, Junyi Wang, Ying-Ping Cheng, Xiaoli Luo, Yiqi Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time ( τ soil ), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we constructed a global database of measured τ soil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τ soil was dramatically shorter from the soil incubation studies in the laboratory environment (median = 4 years; interquartile range = 1 to 25 years) than that derived from field in situ measurements (31; 5 to 84 years) with shifts in stable isotopic C( 13 C ) or the stock-over-flux approach. In comparison with the field observations, the multi-model ensemble simulated a shorter median (19 years) anda smaller spatial variation (6 to 29 years) of τ soil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τ soil and mean annual air temperature. The underestimations of modeled τ soil are mainly located in cold and dry biomes, especially tundra and desert.Furthermore, we showed that one ESM (i.e., CESM) has improved its τ soil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τ soil is a useful benchmark for ESMs, and we recommend more observations and modeling efforts on soil C dynamics in regions limited by temperature and moisture. |
author |
Wang, Jing Xia, Jianyang Zhou, Xuhui Huang, Kun Zhou, Jian Huang, Yuanyuan Jiang, Lifen Xu, Xia Liang, Junyi Wang, Ying-Ping Cheng, Xiaoli Luo, Yiqi |
author_facet |
Wang, Jing Xia, Jianyang Zhou, Xuhui Huang, Kun Zhou, Jian Huang, Yuanyuan Jiang, Lifen Xu, Xia Liang, Junyi Wang, Ying-Ping Cheng, Xiaoli Luo, Yiqi |
author_sort |
Wang, Jing |
title |
Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
title_short |
Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
title_full |
Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
title_fullStr |
Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
title_full_unstemmed |
Evaluating the simulated mean soil carbon transit times by Earth system models using observations |
title_sort |
evaluating the simulated mean soil carbon transit times by earth system models using observations |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1502524 https://www.osti.gov/biblio/1502524 https://doi.org/10.5194/bg-16-917-2019 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
http://www.osti.gov/servlets/purl/1502524 https://www.osti.gov/biblio/1502524 https://doi.org/10.5194/bg-16-917-2019 doi:10.5194/bg-16-917-2019 |
op_doi |
https://doi.org/10.5194/bg-16-917-2019 |
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Biogeosciences |
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16 |
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926 |
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