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DOI10.1016/j.accre.2022.03.002
Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations
Liu C.-Y.;   Lu Y.;   Shi X.-L.;   Hu G.-Q.;   Liu Q.-F.;   Wei C.;   Cao Y.-F.
发表日期2022
ISSN1674-9278
起始页码301
结束页码308
卷号13期号:3
英文摘要Based on the results of the complex climate model BCC-CSM, the Beijing Climate Center Simple Earth System Model (BCC-SESM) was developed for climate system simulations in Integrated Assessment Models (IAMs). The first version of the BCC-SESM model was based on a high-emissions scenario (ESMRCP8.5) and tends to overestimate the temperatures in low and medium emissions scenarios. To address this problem, this study uses three CO2-concentration-driven simulations under different RCP scenarios of complex climate models to evaluate parameters sensitivity and their impacts on projection efficacy. The results show that the new version of the BCC-SESM (denoted as BCC-SESM1.1) model based on a medium-emissions scenario experiment (RCP4.5) is more suitable for temperature projections for various climate scenarios. It can well reproduce the original value of complex climate model. At the same time, it also has high predictive efficacies for medium (RCP4.5) and low (RCP2.6) emissions scenarios, although it tends to underestimate for high emissions scenario (RCP8.5). The sensitivity tests for different RCP scenarios shows that the BCC-SESM1.1 has higher efficacy in projections of future climate change than those model versions based on the other scenarios. The projection deviations for the global average temperature by the BCC-SESM1.1 (<2%) are better than the previous BCC-SESM (<5%). In light of recent progress in climate policy, the BCC-SESM1.1 is hence more suitable for coupling with IAMs for the purposes of assessing climate outcomes. © 2022 The Authors
英文关键词BCC-CSM1.1; BCC-SESM; CMIP5; Integrated assessment models; Simple climate model
语种英语
来源期刊Advances in Climate Change Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/262062
作者单位National Climate Centre, China Meteorological Administration (CMA), Beijing, 100081, China; Global Energy Interconnection Group Corporation (GEIDCO), Beijing, 100031, China; North China Electric Power University (Baoding), Baoding, 071003, China; CMA Earth System Modeling and Prediction Centre, Beijing, 100081, China; Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
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Liu C.-Y.; Lu Y.; Shi X.-L.; Hu G.-Q.; Liu Q.-F.; Wei C.; Cao Y.-F.. Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations[J],2022,13(3).
APA Liu C.-Y.; Lu Y.; Shi X.-L.; Hu G.-Q.; Liu Q.-F.; Wei C.; Cao Y.-F..(2022).Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations.Advances in Climate Change Research,13(3).
MLA Liu C.-Y.; Lu Y.; Shi X.-L.; Hu G.-Q.; Liu Q.-F.; Wei C.; Cao Y.-F.."Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations".Advances in Climate Change Research 13.3(2022).
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