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Climate Divisions for Alaska Based on Objective Methods

机译:基于客观方法的阿拉斯加气候区划

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Alaska encompasses several climate types because of its vast size, high-latitude location, proximity to oceans, and complex topography. There is a great need to understand how climate varies regionally for climatic research and forecasting applications. Although climate-type zones have been established for Alaska on the basis of seasonal climatological mean behavior, there has been little attempt to construct climate divisions that identify regions with consistently homogeneous climatic variability. In this study, cluster analysis was applied to monthly-average temperature data from 1977 to 2010 at a robust set of weather stations to develop climate divisions for the state. Mean-adjusted Advanced Very High Resolution Radiometer surface temperature estimates were employed to fill in missing temperature data when possible. Thirteen climate divisions were identified on the basis of the cluster analysis and were subsequently refined using local expert knowledge. Divisional boundary lines were drawn that encompass the grouped stations by following major surrounding topographic boundaries. Correlation analysis between station and gridded downscaled temperature and precipitation data supported the division placement and boundaries. The new divisions north of the Alaska Range were the North Slope, West Coast, Central Interior, Northeast Interior, and Northwest Interior. Divisions south of the Alaska Range were Cook Inlet, Bristol Bay, Aleutians. Northeast Gulf, Northwest Gulf, North Panhandle, Central Panhandle, and South Panhandle. Correlations with various Pacific Ocean and Arctic climatic teleconnection indices showed numerous significant relationships between seasonal division average temperature and the Arctic Oscillation, Pacific North American pattern, North Pacific index, and Pacific decadal oscillation.
机译:由于阿拉斯加的面积巨大,高纬度地区,邻近海洋和复杂的地形,它涵盖了几种气候类型。在气候研究和预测应用中,非常需要了解气候如何在区域内变化。尽管已经根据季节性气候平均行为为阿拉斯加建立了气候类型区,但几乎没有人试图建立能够确定气候变化均一的地区的气候区划。在这项研究中,将聚类分析应用于一组强大的气象站从1977年到2010年的月平均温度数据,以建立该州的气候区划。在可能的情况下,采用均值调整的高级超高分辨率辐射计表面温度估算值来填写缺失的温度数据。在聚类分析的基础上确定了13个气候区划,随后利用当地专家知识对其进行了完善。通过遵循主要的周围地形边界,绘制了包含分组站的分区边界线。台站和栅格化的降尺度温度和降水数据之间的相关分析支持了分区的位置和边界。阿拉斯加山脉以北的新分区是北坡,西海岸,中部内陆,东北内陆和西北内陆。阿拉斯加山脉以南的分区是阿留申群岛的布里斯托尔湾的库克湾。东北海湾,西北海湾,北潘汉德尔,中潘汉德尔和南潘汉德尔。与各种太平洋和北极气候遥相关指数的相关性表明,季节性分区平均温度与北极涛动,北美太平洋地区格局,北太平洋指数和太平洋年代际振荡之间存在许多重要关系。

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