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首页> 外文期刊>Geophysical Research Letters >Smaller projected increases in 20-year temperature returns over Australia in skill-selected climate models
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Smaller projected increases in 20-year temperature returns over Australia in skill-selected climate models

机译:在技​​能选择的气候模型中,预计澳大利亚20年温度回升的增加幅度较小

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摘要

Using results from the 4th Assessment Report of the Intergovernmental Panel on Climate Change, changes in the 20-year return levels for Australian daily maximum and daily minimum temperature were derived using extreme value theory. The climate models were evaluated using each of (a) mean performance, (b) skill in matching the observed probability density function and (c) skill in capturing the tails of the probability density function. Each weak-skilled model ensemble projected larger increases in both the maximum and minimum temperature return levels compared to each strong-skilled ensemble. The weak and strong skilled ensembles in maximum temperature were statistically significantly different. Over Australia, weak-skilled models therefore simulated statistically significantly larger amounts of warming compared to stronger models in maximum temperature and larger amounts of warming in minimum temperature irrespective of how skill was assessed. Citation: Perkins, S. E., A. J. Pitman, and S. A. Sisson (2009), Smaller projected increases in 20-year temperature returns over Australia in skill-selected climate models, Geophys.
机译:利用政府间气候变化专门委员会第四次评估报告的结果,使用极值理论推导出了澳大利亚每日最高和每日最低温度在20年内的变化。使用(a)平均性能,(b)匹配观察到的概率密度函数的技能和(c)捕获概率密度函数的尾部的技能中的每一个来评估气候模型。与每个强技能组相比,每个弱技能模型组都预计最大和最小温度返回水平都有较大的增加。在最高温度下,弱和强的熟练合奏在统计学上有显着差异。因此,在澳大利亚,与如何评估技能相比,技能较弱的模型在最大温度下模拟的加热数量要比在较强的模型上模拟的加热数量大得多,而在最低温度下的模拟数量要大得多。引文:Perkins,S. E.,A. J. Pitman和S. A. Sisson(2009),Smaller预测,在技巧精选的气候模型Geophys中,澳大利亚20年的温度回升将增加。

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