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Searching for Abrupt Climate Change Precursors Using Ultra High Resolution Ice Core Analysis
项目编号1203640
Andrei Kurbatov
项目主持机构University of Maine
开始日期2012-09-01
结束日期2015-08-31
英文摘要The project will undertake an ultra high resolution, multi-parameter investigation of past climate to develop predictors for future abrupt climate change through identification of the "tipping points" which occur prior to an abrupt climate change events. Ultra-high resolution (up to 4 micron) ice core records will be produced -- well beyond the ~1cm resolution currently available -- using continuous flow injection into both a Thermo Element 2 ICP-MS and a Picarro Inc. L-2130-I H2O isotope analyzer sampled using a newly developed state-of-the-art cryocell chamber integrated with digital image recording and annotating software. The PI will look for precursors that reveal evidence of changes in, for example, the timing and magnitude of temperature, precipitation and atmospheric circulation from multi-decadal down to hundreds of sampling levels per year. The project will train students to be well versed in advanced laboratory and numerical modeling methods. Students will learn data reduction and visualization algorithms while also helping to provide a data stream that has broad applicability to climate. Cyberinfrastructure developed under NSF funding to the Climate Change Institute will be used to store, process, and visualize this high volume of ice core data while also making the information available to the public with high transparency for climate change use and attribution.
学科分类08 - 地球科学
资助机构US-NSF
项目经费797560
项目类型Standard Grant
国家US
语种英语
文献类型项目
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/70749
推荐引用方式
GB/T 7714
Andrei Kurbatov.Searching for Abrupt Climate Change Precursors Using Ultra High Resolution Ice Core Analysis.2012.
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