reference : A new look at lake-effect snowfall trends in the Laurentian Great Lakes using a temporally homogeneous data set

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Bibliographic fields
reftype Journal Article
Abstract Snowfall data are subject to quality issues that affect their usefulness for detection of climate trends. A new analysis of lake-effect snowfall trends utilizes a restricted set of stations identified as suitable for trends analysis based on a careful quality assessment of long-term observation stations in the lake-effect snowbelts of the Laurentian Great Lakes. An upward trend in snowfall was found in two (Superior and Michigan) of the four snowbelt areas. The trends for Lakes Erie and Ontario depended on the period of analysis. Although these results are qualitatively similar to outcomes of other recent studies, the magnitude of the upward trend is about half as large as trends in previous findings. The upward trend in snowfall was accompanied by an upward trend in liquid water equivalent for Superior and Michigan, while no trend was observed for Erie and Ontario. Air temperature has also trended upward for Superior and Michigan, suggesting that warmer surface waters and less ice cover are contributing to the upward snowfall trends by enhancing lake heat and moisture fluxes during cold air outbreaks. However, a more comprehensive study is needed to definitely determine cause and effect. Overall, this study finds that trends in lake-effect snowfall are not as large as was believed based on prior research.
Author Kunkel, K.E. L. Ensor M. Palecki D. Easterling D. Robinson K.G. Hubbard K. Redmond
DOI 10.1016/j.jglr.2008.11.003
ISSN 0380-1330
Issue 1
Journal Journal of Great Lakes Research
Keywords Snowfall, Trends, Lake-effect, Great Lakes
Pages 23-29
Title A new look at lake-effect snowfall trends in the Laurentian Great Lakes using a temporally homogeneous data set
URL http://www.bioone.org/doi/pdf/10.1016/j.jglr.2008.11.003
Volume 35
Year 2009
Bibliographic identifiers
.reference_type 0
_chapter ["Ch. 2: Our Changing Climate FINAL"]
_record_number 1172
_uuid ee173d70-b90c-49f9-8984-d9880ee082b0