| 项目编号: | 1600018
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| 项目名称: | Collaborative Research: P2C2--Ultra-High-Resolution Investigation of High Andean Snow and Ice Chemistry to Improve Paleoclimatic Reconstruction and Enhance Climate Prediction |
| 作者: | Paul Mayewski
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| 承担单位: | University of Maine
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| 批准年: | 2016
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| 开始日期: | 2016-06-15
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| 结束日期: | 2019-05-31
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| 资助金额: | 468891
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | ice core
; high resolution record
; ice cap
; collaborative proposal
; fresh snow
; climate modeling
; past climate dynamics
; chemical climate change
; climate reconstruction
; climate analysis tool
; multi-proxy reconstruction
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| 英文摘要: | This collaborative proposal aims to combine advances in ice core sampling technology, knowledge of Andean storm event meteorology, cyberinfrastructure, and climate modeling and analysis to fresh snow, snowpits and ice core data to be recovered from ice caps in Peru and Bolivia.
The specific goals of the project are to investigate South American atmospheric circulation features (e.g. El Niño/La Niña (ENSO), South American Low-level Jet, Southern Hemisphere trades and westerlies), tropical-mid-latitude-polar teleconnections, and the significance of key global-scale forcing functions that control atmospheric circulation (e.g. solar variability, volcanic activity, dusts, and greenhouse gases) and have significant relevance to moisture and heat transport over South America.
The regional retreat of alpine glaciers coupled with increased population, industry, and agriculture activities are generating future demands on water resources. Declines in water resources may magnify the regional impacts of ENSO. Instrumental records of climate and environmental variability over the region are sparse yet ice cores from Central Andean glaciers provide a source of high resolution records of past climate dynamics and chemistry of the atmosphere extending back centuries to millennia.
Climate reconstructions from ice cores could provide added temporal and spatial context to existing multi-proxy reconstructions in order to assess the impact of natural and human-induced physical and chemical climate change at the storm-scales that impact day to day and season to season events, and in the process, develop analogs for predicting future change.
This project builds on the researchers' recent W.M. Keck Foundation and NSF-supported transformative laser sampling of ice cores and the newly released, NSF-supported cyberinfrastructure and climate analysis tools. It also involves supporting an early career post-doctoral scholar, development and testing of new analytical tools, and strong collaboration with South American scientists. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/92056
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Paul Mayewski. Collaborative Research: P2C2--Ultra-High-Resolution Investigation of High Andean Snow and Ice Chemistry to Improve Paleoclimatic Reconstruction and Enhance Climate Prediction. 2016-01-01.
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