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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Event-Based Precipitation Isotopes in the Laurentian Great Lakes Region Reveal Spatiotemporal Patterns in Moisture Recycling
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Event-Based Precipitation Isotopes in the Laurentian Great Lakes Region Reveal Spatiotemporal Patterns in Moisture Recycling

机译:劳伦特伟大的湖区的基于事件的降水同位素揭示了水分回收中的时空模式

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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~2H 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.
机译:湖作用雪灾影响气候,生态和农业在劳伦森大湖地区和可能是昂贵的,以围绕在美国和加拿大的社区。湖泊效应降水稳定同位素全年显示屏,可以用来更好地了解这些风暴可能会如何气候变化的响应明显的签名。在这里,我们目前的基于事件的δ〜(18)O和δ〜2H从Skaneateles的在纽约,一个站点的降水顺风安大略湖和伊利的,2015年4月和2018年二月之间我们找到一个良好季节性同位素周期期间国家气象服务定义湖作用暴风雪氘高过量(d-过量)的定义特征。以前开发的水分循环模式,这组数据表明,高达25%的水分循环发生时,湖中的水和空气温差较大的应用,气温在零度以下,和风向允许风暴在安大略湖移动或伊利湖。水分回收春,夏,初秋由于是少,有利于水分回收气象和湖泊参数中不经常发生。在两个迎风和顺风的劳伦大湖站点年降水量d过剩的比较提供的证据表明,这样高的d-过量签名是在顺风站点年平均降雨量同位素组成的特性,并且因此可以被用于量化在水分回收的变化发生的事件每年的时间尺度响应过去和未来的气候变化。

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