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Event‐Based Precipitation Isotopes in the Laurentian Great Lakes Region Reveal Spatiotemporal Patterns in Moisture Recycling
Author(s) -
Corcoran Megan C.,
Thomas Elizabeth K.,
Boutt David F.
Publication year - 2019
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1029/2018jd029545
Subject(s) - precipitation , environmental science , winter storm , storm , moisture , isotopic signature , climatology , climate change , atmospheric sciences , hydrology (agriculture) , stable isotope ratio , oceanography , meteorology , geography , geology , physics , geotechnical engineering , quantum mechanics
Lake effect snowstorms influence climate, ecology, and agriculture in the Laurentian Great Lakes region and can be costly to surrounding communities in the United States and Canada. Stable isotopes of lake effect precipitation events throughout the year display a distinct signature that can be used to better understand how these storms may respond to a changing climate. Here we present event‐based δ 18 O and δ 2 H of precipitation from a site in Skaneateles, NY, downwind of Lakes Ontario and Erie, between April 2015 and February 2018. We find a seasonal isotopic cycle with a well‐defined signature of high deuterium excess ( d ‐excess) during National Weather Service‐defined lake effect snowstorms. Application of a previously developed moisture recycling model to this data set shows that up to 25% more moisture recycling takes place when the lake water and air temperature difference is large, air temperature is below freezing, and wind direction permits storms to move over Lake Ontario or Lake Erie. Moisture recycling occurs less frequently during spring, summer, and early fall due to meteorological and lake parameters that are less conducive to moisture recycling. Comparison of annual mean precipitation d ‐excess at sites both upwind and downwind of the Laurentian Great Lakes provides evidence that this high d ‐excess signature is characteristic of mean annual precipitation isotopic composition at downwind sites and therefore may be used to quantify changes in moisture recycling that occur on event to annual time scales in response to past and future climate changes.

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