Spatio‐temporal November and March snowfall trends in the Lake Michigan region
Spatio‐temporal November and March snowfall trends in the Lake Michigan region
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密歇根湖地区 11 月和 3 月降雪时空趋势
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Justin M. Barrick
中科院分区：
文献类型：
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作者：
C. Clark;Bharath Ganesh;Travis J. Elless;Anthony W. Lyza;Dana M. Koning;Alexander R. Carne;Holly A. Boney;A. M. Sink;Justin M. Barrick
本研究调查了 1950 年至 2013 年期间 11 月和 3 月密歇根湖降雪的时空变化。使用时间序列分析、地理信息系统和可视化来评估降雪特征。结果表明，11 月和 3 月降雪量在时间上显着减少，湖泊效应带内的年际变化达到峰值，对遥相关指数的适度并发和滞后敏感性，以及降雪对温度的强烈依赖性。降雪量的减少与 12 月至 2 月的降雪量形成鲜明对比，并且与 11 月和 3 月降雪天数的减少有关，而不是与降水频率的变化有关。降水天数的减少是因为降雪与天气尺度扰动一致，产生雨而不是雪，以及湖泊效应雨代替雪。
This study has investigated the spatio‐temporal variability of November and March Lake Michigan snowfall for the period 1950–2013. Snowfall characteristics were assessed using time series analysis, geographic information systems, and visualization. Results indicate significant temporal decreases of November and March snowfall, peak inter‐annual variability within the lake‐effect belt, modest concurrent and lagged sensitivity to teleconnection indices, and strong dependence of snowfall on temperature. The decreased snowfall is in contrast to December–February snowfall and associated with a decreasing fraction of November and March precipitation days occurring as snow days, rather than changes in precipitation frequency. The decreasing fraction of precipitation days occurs as snowfall is consistent with synoptic‐scale disturbances producing rain rather than snow and lake‐effect rain falling in lieu of snow.