Spatial variability and trends in observed snow depth over North America
Spatial variability and trends in observed snow depth over North America
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DOI：
10.1029/2006gl027258
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发表时间：
2006-08-31
影响因子：
5.2
通讯作者：
Mote, Thomas L.
中科院分区：
文献类型：
--
作者：
Dyer, Jamie L.;Mote, Thomas L.
[1]本研究使用美国和加拿大1960-2000年每日地面观测的网格化数据集，研究了北美地区雪深的区域时空变化和趋势。分析表明，整个1月份北美雪深变化最小，雪深减少的地区从1月下旬开始。从3月到4月，这些区域减少的强度和范围都在增加，这意味着春季融化开始得更早。雪深下降幅度最大的地区出现在加拿大中部，从加拿大西北部的育空地区到五大湖地区。加拿大中部地区春季积雪深度的区域性减少可能是由于较浅的冬季积雪更快融化的结果，这可以从5月和10月的较浅积雪（2-10厘米）和3月和4月的较深积雪（50 - 40厘米）的减少中看出。
[1] This study uses a gridded dataset of daily U. S. and Canadian surface observations from 1960-2000 to study regional spatial and temporal variability and trends in snow depth across North America. Analysis shows minimal change in North American snow depth through January, with regions of decreasing snow depths beginning in late January. These regional decreases grow in intensity and extent through March and into April, implying an earlier onset of spring melt. The region showing the greatest decreases in snow depth occurs in central Canada, along a line from the Yukon Territory in northwestern Canada to the Great Lakes region. The regional decreases in spring snow depth across central Canada are likely a result of more rapid melt of shallower winter snowpacks, evident through shallower snow cover (2-10 cm) during May and October and a decrease in extent of deeper snowpacks (> 40 cm) through March and April.