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年代际气候预测(全球气候与能源项目)

Decadal climate prediction (project GCEP).

作者信息

Haines Keith, Hermanson Leon, Liu Chunlei, Putt Debbie, Sutton Rowan, Iwi Alan, Smith Doug

机构信息

University of Reading, 3 Earley Gate, Whiteknights, Reading RG6 6AL, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2009 Mar 13;367(1890):925-37. doi: 10.1098/rsta.2008.0178.

Abstract

Decadal prediction uses climate models forced by changing greenhouse gases, as in the International Panel for Climate Change, but unlike longer range predictions they also require initialization with observations of the current climate. In particular, the upper-ocean heat content and circulation have a critical influence. Decadal prediction is still in its infancy and there is an urgent need to understand the important processes that determine predictability on these timescales. We have taken the first Hadley Centre Decadal Prediction System (DePreSys) and implemented it on several NERC institute compute clusters in order to study a wider range of initial condition impacts on decadal forecasting, eventually including the state of the land and cryosphere. The eScience methods are used to manage submission and output from the many ensemble model runs required to assess predictive skill. Early results suggest initial condition skill may extend for several years, even over land areas, but this depends sensitively on the definition used to measure skill, and alternatives are presented. The Grid for Coupled Ensemble Prediction (GCEP) system will allow the UK academic community to contribute to international experiments being planned to explore decadal climate predictability.

摘要

年代际预测使用由不断变化的温室气体驱动的气候模型,就像政府间气候变化专门委员会所采用的那样,但与更长期的预测不同,它们还需要用当前气候的观测数据进行初始化。特别是,上层海洋的热量含量和环流有着至关重要的影响。年代际预测仍处于起步阶段,迫切需要了解决定这些时间尺度上可预测性的重要过程。我们采用了首个哈德利中心年代际预测系统(DePreSys),并在多个自然环境研究委员会(NERC)机构的计算集群上运行它,以便研究更广泛的初始条件对年代际预测的影响,最终包括陆地和冰冻圈的状态。电子科学方法被用于管理评估预测技能所需的众多集合模型运行的提交和输出。早期结果表明,初始条件技能可能会持续数年,甚至在陆地区域也是如此,但这高度依赖于用于衡量技能的定义,文中还给出了其他替代定义。耦合集合预测网格(GCEP)系统将使英国学术界能够参与正在计划的国际实验,以探索年代际气候可预测性。

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