Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.3354/cr01480 |
Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario | |
Suriano, Zachary J.; Leathers, Daniel J. | |
2018 | |
发表期刊 | CLIMATE RESEARCH |
ISSN | 0936-577X |
EISSN | 1616-1572 |
出版年 | 2018 |
卷号 | 74期号:1页码:1-13 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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 lake-effect snow. |
英文关键词 | Great Lakes Synoptic classification Snowfall variability Climate change Lake effect |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418809700001 |
WOS关键词 | LAURENTIAN GREAT-LAKES ; UNITED-STATES ; ICE COVER ; CLIMATOLOGICAL APPROACH ; WINTER WEATHER ; MICHIGAN ; 20TH-CENTURY ; SNOWSTORMS ; IMPACTS ; SYSTEMS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38501 |
专题 | 气候变化 |
作者单位 | Univ Delaware, Dept Geog, Newark, DE 19716 USA |
推荐引用方式 GB/T 7714 | Suriano, Zachary J.,Leathers, Daniel J.. Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario[J]. CLIMATE RESEARCH,2018,74(1):1-13. |
APA | Suriano, Zachary J.,&Leathers, Daniel J..(2018).Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario.CLIMATE RESEARCH,74(1),1-13. |
MLA | Suriano, Zachary J.,et al."Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario".CLIMATE RESEARCH 74.1(2018):1-13. |
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