The weather@home regional climate modelling project for Australia and New Zealand
The weather@home regional climate modelling project for Australia and New Zealand
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DOI：
10.5194/gmd-9-3161-2016
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发表时间：
2016-09
影响因子：
5.1
通讯作者：
Mitchell Black;David J. Karoly;S. Rosier;Sam M. Dean;A. King;Neil;R. Massey;Sarah N. Sparrow;A. Bowery;D. Wallom;Richard G. Jones;E. Friederike;L. Otto;Myles R. Allen
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文献类型：
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作者：
Mitchell Black;David J. Karoly;S. Rosier;Sam M. Dean;A. King;Neil;R. Massey;Sarah N. Sparrow;A. Bowery;D. Wallom;Richard G. Jones;E. Friederike;L. Otto;Myles R. Allen
抽象。已经为区域气候模拟和澳大利亚和新西兰极端天气和气候的归因制定了一个新的气候模拟项目。该项目被称为澳大利亚-新西兰天气@home，使用公共志愿者的家用电脑运行一个中等分辨率的全球大气模型，并在澳大拉西亚地区建立一个嵌套的区域模型。通过利用家用电脑的综合计算能力，weather@home能够生成前所未有的各种气候情景下可能出现的天气模拟。这种大集合规模与高空间分辨率的结合，使极端事件的抽样不确定性的良好约束的估计进行检查。本文概述了澳大利亚-新西兰天气@home项目，包括对区域模式性能的初步评估。该模型被认为是能够解决许多气候特征，是重要的澳大利亚和新西兰地区，包括厄尔尼诺南方涛动驱动自然气候变率的影响。迄今为止，已成功地以时间片方式整合了1985-2014年期间75个历史气候模型模拟。此外，在有和没有人类影响的气候情景下，2013年、2014年和2015年也产生了数千名成员的合奏。该项目产生的所有数据都免费提供给更广泛的研究界。
Abstract. A new climate modelling project has been developed for regional climate simulation and the attribution of weather and climate extremes over Australia and New Zealand. The project, known as weather@home Australia–New Zealand, uses public volunteers' home computers to run a moderate-resolution global atmospheric model with a nested regional model over the Australasian region. By harnessing the aggregated computing power of home computers, weather@home is able to generate an unprecedented number of simulations of possible weather under various climate scenarios. This combination of large ensemble sizes with high spatial resolution allows extreme events to be examined with well-constrained estimates of sampling uncertainty. This paper provides an overview of the weather@home Australia–New Zealand project, including initial evaluation of the regional model performance. The model is seen to be capable of resolving many climate features that are important for the Australian and New Zealand regions, including the influence of El Nino–Southern Oscillation on driving natural climate variability. To date, 75 model simulations of the historical climate have been successfully integrated over the period 1985–2014 in a time-slice manner. In addition, multi-thousand member ensembles have also been generated for the years 2013, 2014 and 2015 under climate scenarios with and without the effect of human influences. All data generated by the project are freely available to the broader research community.