globalchange  > 全球变化的国际研究计划
DOI: 10.1029/2019MS001639
WOS记录号: WOS:000480282800010
论文题名:
The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability
作者: Maher, Nicola1; Milinski, Sebastian1,2; Suarez-Gutierrez, Laura1,2; Botzet, Michael1; Dobrynin, Mikhail3,4; Kornblueh, Luis1; Kroeger, Juergen1; Takano, Yohei1; Ghosh, Rohit1; Hedemann, Christopher1; Li, Chao1; Li, Hongmei1; Manzini, Elisa1; Notz, Dirk1; Putrasahan, Dian1; Boysen, Lena1; Claussen, Martin1,3; Ilyina, Tatiana1; Olonscheck, Dirk1; Raddatz, Thomas1; Stevens, Bjorn1; Marotzke, Jochem1
通讯作者: Maher, Nicola
刊名: JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
ISSN: 1942-2466
出版年: 2019
卷: 11, 期:7, 页码:2050-2069
语种: 英语
英文关键词: large ensemble ; MPI-GE ; internal variability ; forced response
WOS关键词: ARCTIC SEA-ICE ; MERIDIONAL OVERTURNING CIRCULATION ; INTERNAL VARIABILITY ; TEMPERATURE RESPONSE ; EL-NINO ; MODEL ; TRENDS ; CMIP5 ; UNCERTAINTY ; EMERGENCE
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
英文摘要:

The Max Planck Institute Grand Ensemble (MPI-GE) is the largest ensemble of a single comprehensive climate model currently available, with 100 members for the historical simulations (1850-2005) and four forcing scenarios. It is currently the only large ensemble available that includes scenario representative concentration pathway (RCP) 2.6 and a 1% CO2 scenario. These advantages make MPI-GE a powerful tool. We present an overview of MPI-GE, its components, and detail the experiments completed. We demonstrate how to separate the forced response from internal variability in a large ensemble. This separation allows the quantification of both the forced signal under climate change and the internal variability to unprecedented precision. We then demonstrate multiple ways to evaluate MPI-GE and put observations in the context of a large ensemble, including a novel approach for comparing model internal variability with estimated observed variability. Finally, we present four novel analyses, which can only be completed using a large ensemble. First, we address whether temperature and precipitation have a pathway dependence using the forcing scenarios. Second, the forced signal of the highly noisy atmospheric circulation is computed, and different drivers are identified to be important for the North Pacific and North Atlantic regions. Third, we use the ensemble dimension to investigate the time dependency of Atlantic Meridional Overturning Circulation variability changes under global warming. Last, sea level pressure is used as an example to demonstrate how MPI-GE can be utilized to estimate the ensemble size needed for a given scientific problem and provide insights for future ensemble projects.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/144782
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Max Planck Inst Meteorol, Hamburg, Germany
2.Int Max Planck Res Sch Earth Syst Modelling, Hamburg, Germany
3.Univ Hamburg, CEN, Hamburg, Germany
4.Deutsch Wetterdienst DWD, Hamburg, Germany

Recommended Citation:
Maher, Nicola,Milinski, Sebastian,Suarez-Gutierrez, Laura,et al. The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability[J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,2019-01-01,11(7):2050-2069
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