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Recent and Projected Annual Cycles of Temperature and Precipitation in the Northeast United States from CMIP5

机译:从CMIP5从CMIP5近期近期温度和降水的年度循环

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A case study is presented using the northeast United States to evaluate information contained in the monthly mean annual cycle that has yet to be exploited. This research documents the performance and projections for the northeast United States from a suite of 16 climate models in the archive of phase 5 of the Coupled Model Intercomparison Project (CMIP5) from the World Climate Research Programme (WCRP). Analysis is performed for the late twentieth-century monthly mean annual cycle and changes in the late twenty-first century. A weak seasonality in temperature and a strong seasonality in precipitation changes are found. The seasonality of changes is distinct from the mean annual cycles, such that temperature increases are largest in midwinter (December-February) and late summer [July-September (JAS)]. Precipitation increases peak in late winter-early spring (February-April), associated with increased moisture convergence and a more active storm track, and exhibit greatest model disagreement in late summer (JAS) when the models suggest weak divergence and a westward extension of the Atlantic subtropical anticyclone. The late summer-early fall maximum in temperature and late winter-early spring maximum in precipitation changes have not been seen previously in annual or seasonal mean analyses. Yet there is model agreement in these results, indicating that there is important information in the annual cycle for understanding the changes in the physical climate system and for evaluating impacts and adaptation strategies. It is argued that improved understanding of seasonal transitions has potential to increase confidence in projections, and to provide additional information of use to the impacts and decision-maker communities.
机译:使用东北美国举办案例研究,以评估每月意味着尚未开发的年度循环中所载的信息。本研究记录了来自世界气候研究计划(WCRP)的耦合模型相互熟悉项目(CMIP5)的第5阶段档案中的16个气候模型的套件的绩效和预测。分析为二十世纪晚期的月平均年度周期和二十一世纪末的变化进行了分析。发现了弱季节性和降水变化的强烈季节性。变化的季节性与平均年度周期不同,使得温度越来越大在仲冬(12月至2月)和夏末(7月至9月(Jas))中最大。降水量在冬季春季春季(2月至4月)增加了峰值,与增加的水分融合和更积极的风暴轨道相关,并在模型建议弱势分歧和向西延伸时展示最大的模特分歧(JAS)大西洋亚热带反气旋。早期夏季早期的夏季早期最大值最高,冬季早期的春季最大的降水变化尚未在年度或季节性的平均分析中看到。然而,这些结果中有模型协议,表明年度周期中有重要信息,以了解物理气候系统的变化以及评估影响和适应策略。有人认为,改善对季节转变的理解有可能增加对投影的信心,并提供对影响和决策者社区的额外信息。

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