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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Toward Reducing Cloud-Climate Feedback Uncertainties in Atmospheric General Circulation Models
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Toward Reducing Cloud-Climate Feedback Uncertainties in Atmospheric General Circulation Models

机译:减少大气环流模型中的云气候反馈不确定性

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摘要

Uncertainties of global warming projections have not changed much in general circulation models (GCMs) in the last 20 years. For example, in the first, second, and third reports of the Intergovernmental Panel on Climate Change (IPCC), the ranges of global warming simulated in GCMs are 1.9 ° to 5.2 °C [Mitchell et al., 1990], 2.1 ° to 4.6 °C [Kattenberg et al., 1996], and 2.0 ° to 5.1 °C [Cubasch et al., 2001] respectively. These discrepancies in model's climate sensitivities can been largely attributed to differences in their cloud-climate feedback processes [e.g., Cess et al., 1990; Soden et al., 2004].
机译:在过去的20年中,全球变暖预测的不确定性在一般环流模型(GCM)中没有太大变化。例如,在政府间气候变化专门委员会(IPCC)的第一份,第二份和第三份报告中,在GCM中模拟的全球变暖范围是1.9°C到5.2°C [Mitchell等,1990],2.1°C到2000°C。分别为4.6°C [Kattenberg等,1996]和2.0°至5.1°C [Cubasch等,2001]。模型对气候敏感性的这些差异在很大程度上可以归因于其云-气候反馈过程的差异[例如,Cess等,1990; Cess等。 Soden等,2004]。

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