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A Climatology of Southern Appalachian Cold-Air Damming

机译:南部阿巴拉契亚冷空气筑坝的气候学

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摘要

A 30-yr climatology (1981-2010) of cold-air damming (CAD) events in the southern Appalachians was conducted using hourly surface observations and North American Regional Reanalysis (NARR) data. Analysis of the spatial distribution and frequency of these events reveals that some part of the Southeast is affected by CAD on 50 days out of each year, and even the northern Florida panhandle and much of Alabama experience CAD conditions on about 30 days annually. Spatially, different CAD types tend to exhibit one of two patterns in the southernmost extent of the cold-air dome: a more southerly dome with a ridge axis oriented from north-northeast to south-southwest or a more westerly dome with a ridge axis in a northeast to west-southwest orientation. These patterns may be the result of both splitting around the region of higher terrain in east-central Alabama and Coriolis forcing in stronger CAD types with higher wind speeds. Analysis of the frequency of CAD by type on a month-by-month and year-by-year basis confirms previous work that CAD is much more frequent during the cold season versus the warm season, with CAD occurring on 6.8 days month(-1) during December and only 1.3 days month(-1) during July. Analysis was also stratified by CAD type, revealing that weak/dry events were the most common. Classical type events with stronger and more favorably positioned parent highs exhibited the longest average duration, nearly 45 h, while other CAD types averaged approximately half as long.
机译:利用每小时的地面观测和北美区域再分析(NARR)数据,对阿巴拉契亚南部的30年气候研究(1981-2010)进行了冷空气筑坝(CAD)事件。对这些事件的空间分布和频率进行的分析表明,东南部的某些地区每年每年有50天受到CAD的影响,甚至佛罗里达北部的潘汉德尔和阿拉巴马州的大部分地区每年都遭受CAD的影响,大约每年30天。在空间上,不同的CAD类型倾向于在冷空气圆顶的最南端显示两种模式之一:一个更南的圆顶,其脊轴从东北到西南偏南;或者更西风的圆顶,其脊轴在西北。从东北到西南偏西方向。这些模式可能是由于在阿拉巴马州中东部的较高地形区域附近分裂和科里奥利人强迫风速较高的较强CAD类型而导致的。按类型逐月和逐年对CAD频率的分析证实了以前的工作,即在寒冷季节相对于温暖季节,CAD的频率要高得多,CAD发生在6.8天(-1) )在十二月期间,而月份(-1)仅在1.3天内。分析还按CAD类型进行了分层,揭示了弱/干事件是最常见的。具有更强和更有利的父高位置的经典类型事件显示出最长的平均持续时间,将近45小时,而其他CAD类型的事件平均长度大约是其一半。

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