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Building Asian climate change scenario by multi-regional climate models ensemble. Part I: surface air temperature

机译:通过多区域气候模型集合构建亚洲气候变化情景。第一部分:地面空气温度

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Under the Asia-Pacific Network for Global Change (APN) project 'Building Asian Climate Change Scenarios by Multi-Regional Climate Models Ensemble' (RMIP III, Regional Model Intercomparision Project), the simulation results of eight regional climate models (RCMs) and two fine-resolution global climate models are validated for reproducibility of the current surface air temperature climatology (1981-2000), and are used to generate surface air future temperature projections (2041-2060) over the CORDEX-EA (A Coordinated Regional climate Downscaling Experiment-East Asia) domain. Four ensemble methods, namely, the equal weighting, the weighted mean, the reliability ensemble averaging, and the performance-based ensemble averaging, are employed to generate the multi-model projection of regional climate change over the region. The results show that the regional temperature ensembles of the present climate obtained from all four methods can outperform a single RCM result in aspects of the spatial distribution as well as the seasonal variation over East Asia. The four ensemble methods are then used to project the regional temperature climatology under the IPCC emission scenario of A1B for 2041-2060. Compared with the control climate of 1981-2000, the annual mean temperature of the future climate (2041-2060) increases 1-2 degrees C in low latitude areas and 2-3 degrees C in middle-high latitude areas over Asia.
机译:在亚太全球变化网络(APN)项目“通过多区域气候模型集合构建亚洲气候变化情景”(RMIP III,区域模型比对项目)下,八个区域气候模型(RCM)和两个区域气候模型的模拟结果对精细的全球气候模型进行了验证,以验证当前地面空气温度气候学(1981-2000)的可重复性,并用于在CORDEX-EA(协调的区域气候降尺度实验)上生成地面空气未来的温度预测(2041-2060) -东亚)域。采用四种加权方法,即均等加权,加权均值,可靠性总体平均和基于绩效的总体平均,来生成该区域气候变化的多模型预测。结果表明,在空间分布以及东亚的季节变化方面,从这四种方法获得的当前气候的区域温度集合都可以胜过单个RCM结果。然后使用四种集成方法来预测2041-2060年A1B的IPCC排放情景下的区域温度气候。与1981-2000年的控制气候相比,未来气候的年平均温度(2041-2060)在亚洲低纬度地区增加1-2摄氏度,在中高纬度地区增加2-3摄氏度。

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