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- Publisher Website: 10.1029/2019MS002036
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Article: Community Integrated Earth System Model (CIESM): Description and Evaluation
Title | Community Integrated Earth System Model (CIESM): Description and Evaluation |
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Authors | Lin, YanluanHuang, XiaomengLiang, YishuangQin, YiXu, ShimingHuang, WenyuXu, FanghuaLiu, LiWang, YongPeng, YiranWang, LanningXue, WeiFu, HaohuanZhang, Guang JunWang, BinLi, RuizheZhang, ChengLu, HuiYang, KunLuo, YongBai, YuqiSong, ZhenyaWang, MinqiZhao, WenjieZhang, FengXu, JinghengZhao, XiLu, ChunsongChen, YizhaoLuo, YiqiHu, YongTang, QiangChen, DexunYang, GuangwenGong, Peng |
Keywords | preindustrial and historical simulations coupled model evaluation Community Integrated Earth System Model |
Issue Date | 2020 |
Citation | Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 8, article no. e2019MS002036 How to Cite? |
Abstract | A team effort to develop a Community Integrated Earth System Model (CIESM) was initiated in China in 2012. The model was based on NCAR Community Earth System Model (Version 1.2.1) with several novel developments and modifications aimed to overcome some persistent systematic biases, such as the double Intertropical Convergence Zone problem and underestimated marine boundary layer clouds. Aerosols' direct and indirect effects are prescribed using the MACv2-SP approach and data sets. The spin-up of a 500-year preindustrial simulation and three historical simulations are described and evaluated. Prominent improvements include alleviated double Intertropical Convergence Zone problem, increased marine boundary layer clouds, and better El Niño Southern Oscillation amplitude and periods. One deficiency of the model is the significantly underestimated Arctic and Antarctic sea ice in warm seasons. The historical warming is about 0.55 °C greater than observations toward 2014. CIESM has an equilibrium climate sensitivity of 5.67 K, mainly resulted from increased positive shortwave cloud feedback. Our efforts on porting and redesigning CIESM for the heterogeneous Sunway TaihuLight supercomputer are also introduced, including some ongoing developments toward a future version of the model. |
Persistent Identifier | http://hdl.handle.net/10722/296899 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Yanluan | - |
dc.contributor.author | Huang, Xiaomeng | - |
dc.contributor.author | Liang, Yishuang | - |
dc.contributor.author | Qin, Yi | - |
dc.contributor.author | Xu, Shiming | - |
dc.contributor.author | Huang, Wenyu | - |
dc.contributor.author | Xu, Fanghua | - |
dc.contributor.author | Liu, Li | - |
dc.contributor.author | Wang, Yong | - |
dc.contributor.author | Peng, Yiran | - |
dc.contributor.author | Wang, Lanning | - |
dc.contributor.author | Xue, Wei | - |
dc.contributor.author | Fu, Haohuan | - |
dc.contributor.author | Zhang, Guang Jun | - |
dc.contributor.author | Wang, Bin | - |
dc.contributor.author | Li, Ruizhe | - |
dc.contributor.author | Zhang, Cheng | - |
dc.contributor.author | Lu, Hui | - |
dc.contributor.author | Yang, Kun | - |
dc.contributor.author | Luo, Yong | - |
dc.contributor.author | Bai, Yuqi | - |
dc.contributor.author | Song, Zhenya | - |
dc.contributor.author | Wang, Minqi | - |
dc.contributor.author | Zhao, Wenjie | - |
dc.contributor.author | Zhang, Feng | - |
dc.contributor.author | Xu, Jingheng | - |
dc.contributor.author | Zhao, Xi | - |
dc.contributor.author | Lu, Chunsong | - |
dc.contributor.author | Chen, Yizhao | - |
dc.contributor.author | Luo, Yiqi | - |
dc.contributor.author | Hu, Yong | - |
dc.contributor.author | Tang, Qiang | - |
dc.contributor.author | Chen, Dexun | - |
dc.contributor.author | Yang, Guangwen | - |
dc.contributor.author | Gong, Peng | - |
dc.date.accessioned | 2021-02-25T15:16:55Z | - |
dc.date.available | 2021-02-25T15:16:55Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 8, article no. e2019MS002036 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296899 | - |
dc.description.abstract | A team effort to develop a Community Integrated Earth System Model (CIESM) was initiated in China in 2012. The model was based on NCAR Community Earth System Model (Version 1.2.1) with several novel developments and modifications aimed to overcome some persistent systematic biases, such as the double Intertropical Convergence Zone problem and underestimated marine boundary layer clouds. Aerosols' direct and indirect effects are prescribed using the MACv2-SP approach and data sets. The spin-up of a 500-year preindustrial simulation and three historical simulations are described and evaluated. Prominent improvements include alleviated double Intertropical Convergence Zone problem, increased marine boundary layer clouds, and better El Niño Southern Oscillation amplitude and periods. One deficiency of the model is the significantly underestimated Arctic and Antarctic sea ice in warm seasons. The historical warming is about 0.55 °C greater than observations toward 2014. CIESM has an equilibrium climate sensitivity of 5.67 K, mainly resulted from increased positive shortwave cloud feedback. Our efforts on porting and redesigning CIESM for the heterogeneous Sunway TaihuLight supercomputer are also introduced, including some ongoing developments toward a future version of the model. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Advances in Modeling Earth Systems | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | preindustrial and historical simulations | - |
dc.subject | coupled model evaluation | - |
dc.subject | Community Integrated Earth System Model | - |
dc.title | Community Integrated Earth System Model (CIESM): Description and Evaluation | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1029/2019MS002036 | - |
dc.identifier.scopus | eid_2-s2.0-85089838908 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | article no. e2019MS002036 | - |
dc.identifier.epage | article no. e2019MS002036 | - |
dc.identifier.eissn | 1942-2466 | - |
dc.identifier.isi | WOS:000566209200003 | - |
dc.identifier.issnl | 1942-2466 | - |