Evolution of Uncertainty in Terrestrial Carbon Storage in Earth System Models from CMIP5 to CMIP6

被引:30
|
作者
Wei, Ning [1 ,2 ]
Xia, Jianyang [1 ]
Zhou, Jian [1 ]
Jiang, Lifen [2 ]
Cui, Erqian [1 ]
Ping, Jiaye [1 ]
Luo, Yiqi [2 ]
机构
[1] East China Normal Univ, Res Ctr Global Change & Complex Ecosyst, Sch Ecol & Environm Sci, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China
[2] No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ USA
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Ecological models; Model comparison; Model evaluation; performance; ENVIRONMENT SIMULATOR JULES; SOIL CARBON; ORGANIC-CARBON; CLIMATE-CHANGE; CYCLE; FEEDBACKS; NITROGEN; VERSION; PROJECTIONS; TURNOVER;
D O I
10.1175/JCLI-D-21-0763.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The spatial and temporal variations in terrestrial carbon storage play a pivotal role in regulating future climate change. However, Earth system models (ESMs), which have coupled the terrestrial biosphere and atmosphere, show great uncertainty in simulating the global land carbon storage. Here, based on multiple global datasets and a traceability analysis, we diagnosed the uncertainty source of terrestrial carbon storage in 22 ESMs that participated in phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). The modeled global terrestrial carbon storage has converged among ESMs from CMIP5 (1936.9 +/- 739.3 PgC) to CMIP6 (1774.4 +/- 439.0 PgC) but is persistently lower than the observation-based estimates (2285 +/- 669 PgC). By further decomposing terrestrial carbon storage into net primary production (NPP) and ecosystem carbon residence time (tau(E)), we found that the decreased intermodel spread in land carbon storage primarily resulted from more accurate simulations on NPP among ESMs from CMIP5 to CMIP6. The persistent underestimation of land carbon storage was caused by the biased tau(E). In CMIP5 and CMIP6, the modeled tau(E) was far shorter than the observation-based estimates. The potential reasons for the biased tau(E) could be the lack of or incomplete representation of nutrient limitation, vertical soil biogeochemistry, and the permafrost carbon cycle. Moreover, the modeled tau(E) became the key driver for the intermodel spread in global land carbon storage in CMIP6. Overall, our study indicates that CMIP6 models have greatly improved the terrestrial carbon cycle, with a decreased model spread in global terrestrial carbon storage and less uncertain productivity. However, more efforts are needed to understand and reduce the persistent data-model disagreement on carbon storage and residence time in the terrestrial biosphere.
引用
收藏
页码:5483 / 5499
页数:17
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