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Stable Isotope Analysis of Precipitation Samples Obtained via Crowdsourcing Reveals the Spatiotemporal Evolution of Superstorm Sandy

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Title
Stable Isotope Analysis of Precipitation Samples Obtained via Crowdsourcing Reveals the Spatiotemporal Evolution of Superstorm Sandy
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0091117
Pubmed ID
Authors

Stephen P. Good, Derek V. Mallia, John C. Lin, Gabriel J. Bowen

Abstract

Extra-tropical cyclones, such as 2012 Superstorm Sandy, pose a significant climatic threat to the northeastern United Sates, yet prediction of hydrologic and thermodynamic processes within such systems is complicated by their interaction with mid-latitude water patterns as they move poleward. Fortunately, the evolution of these systems is also recorded in the stable isotope ratios of storm-associated precipitation and water vapor, and isotopic analysis provides constraints on difficult-to-observe cyclone dynamics. During Superstorm Sandy, a unique crowdsourced approach enabled 685 precipitation samples to be obtained for oxygen and hydrogen isotopic analysis, constituting the largest isotopic sampling of a synoptic-scale system to date. Isotopically, these waters span an enormous range of values (> 21‰ for δ(18)O, > 160‰ for δ(2)H) and exhibit strong spatiotemporal structure. Low isotope ratios occurred predominantly in the west and south quadrants of the storm, indicating robust isotopic distillation that tracked the intensity of the storm's warm core. Elevated values of deuterium-excess (> 25‰) were found primarily in the New England region after Sandy made landfall. Isotope mass balance calculations and Lagrangian back-trajectory analysis suggest that these samples reflect the moistening of dry continental air entrained from a mid-latitude trough. These results demonstrate the power of rapid-response isotope monitoring to elucidate the structure and dynamics of water cycling within synoptic-scale systems and improve our understanding of storm evolution, hydroclimatological impacts, and paleo-storm proxies.

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Geographical breakdown

Country Count As %
United States 3 3%
Mexico 1 <1%
Belgium 1 <1%
Switzerland 1 <1%
Unknown 104 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 27%
Student > Ph. D. Student 18 16%
Student > Master 16 15%
Other 7 6%
Student > Bachelor 7 6%
Other 16 15%
Unknown 16 15%
Readers by discipline Count As %
Earth and Planetary Sciences 41 37%
Environmental Science 16 15%
Agricultural and Biological Sciences 12 11%
Engineering 6 5%
Computer Science 3 3%
Other 5 5%
Unknown 27 25%