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High‐Resolution Climate Projections for the Northeastern United States Using Dynamical Downscaling at Convection‐Permitting Scales

机译:使用对流允许尺度下的动态降尺度对美国东北部的高分辨率气候预测

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To paraphrase former Speaker of the House Tip O'Neill, “All climate change is local”—that is, society reacts most immediately to changes in local weather such as regional heat waves and heavy rainstorms. Such phenomena are not well resolved by the current generation of coupled climate models. Here it is shown that dynamical downscaling of climate reanalyses using a high‐resolution regional model can reproduce both the means and extremes of temperature and precipitation as observed in the well‐measured northeastern United States. Given this result, the downscaling is applied to climate projections for the middle and end of the 21st century under Representative Concentration Pathway (RCP) 8.5 as well as for the historical time period to help assess regional climate impacts in the northeastern United States. The resulting high‐resolution projections are intended to support regional sustainability studies for the northeastern United States and are made publicly available.
机译:用前众议院议长奥尼尔的话来解释,“所有气候变化都是地方性的”,也就是说,社会对当地天气的变化(例如区域热浪和暴雨)反应最迅速。当前的耦合气候模型无法很好地解决这种现象。此处显示,使用高分辨率的区域模型对气候进行再分析的动态降尺度可以再现在美国东北部经过良好测量的温度和降水的均值和极端值。鉴于此结果,降级适用于21世纪中叶和下半年在代表浓度路径(RCP)8.5下的气候预测以及历史时期,以帮助评估美国东北部地区的气候影响。由此产生的高分辨率预测旨在支持美国东北部的区域可持续性研究,并已公开提供。

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