globalchange  > 气候减缓与适应
DOI: 10.3354/cr01480
Scopus记录号: 2-s2.0-85032674005
论文题名:
Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario
作者: Suriano Z.J.; Leathers D.J.
刊名: Climate Research
ISSN: 0936577X
出版年: 2017
卷: 74, 期:1
起始页码: 1
结束页码: 13
语种: 英语
英文关键词: Climate change ; Great lakes ; Lake effect ; Snowfall variability ; Synoptic classification
英文摘要: Recent research has indicated that snowfall in portions of the North American Great Lakes region subject to lake-effect snow has undergone a trend reversal, with snowfall declining in recent decades. This study examines the seasonal variability and trends specifically in synoptically classified lake-effect snow across the eastern Great Lakes region, and investigates the mechanisms responsible for observed changes. Using a synoptic climatological approach, days are identified where the synoptic-scale conditions are conducive to lake-effect snowfall and the associated snowfall is analyzed. Seven synoptic types over the November to March snowfall season are identified with characteristics of lake-effect conditions. Snowfall from these 7 lake-effect synoptic types represents between 45 and 53% of the seasonal snowfall total along the eastern shores of Lakes Erie and Ontario, with snowfall totals being highest during January. Lake-effect snowfall exhibits a 60 yr increasing trend downwind of Lakes Erie and Ontario; however, through examination over shorter 30 yr periods, a change in the trend of snowfall is observed around 1980. While a true trend reversal is not detected, lake-effect snowfall significantly increases from 1950-1979 before exhibiting no significant trend from 1980-2009. The inter-annual variability of seasonal lake-effect snowfall is highly related to the frequency of lake-effect synoptic types where an increase (decrease) in synoptic type occurrence leads to enhanced (diminished) lake-effect snowfall totals. Depending on the period examined, long-term changes in the frequency of lake-effect synoptic types and snowfall rates represent between 89 and 95% of the observed changes in lakeeffect snow. © Inter-Research 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116301
Appears in Collections:气候减缓与适应

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Recommended Citation:
Suriano Z.J.,Leathers D.J.. Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario[J]. Climate Research,2017-01-01,74(1)
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