Development of a High-Asia Tree-Ring Network for Reconstructing Past Climates

开发高亚洲树木年轮网络以重建过去的气候

• 批准号: 0302633
• 负责人: Edward Cook
• 金额: $ 26.18万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0302633&HistoricalAwards=false
• 关键词: Development; Asia; Tree; Ring; Network

This awards supports the development of a dense network of precisely dated annual tree-ring chronologies for use in reconstructing climate over the past 300-500 years in the High Asia region (i.e., Karakoram, Himalayas, and Tibetan Plateau).The goal of the research is to better understand climate variability, forcing, and impacts at inter-decadal to multi-centennial time scales in an area of the world where relatively little information of this kind is available. The High Asia region is strategically located along the orographic boundary between the monsoon-dominated southern Asia, the dry Tibetan Plateau, and the Asian interior to the north. To accomplish the development of this network, the researcher will utilize established collaborations with tree-ring scientists working in India, China, and Bhutan, to help expand existing tree-ring data sets and develop new tree-ring chronologies.The research has the potential to provide an improved understanding of climate variability in one of the most densely populated regions on Earth. The research may lead to new insights modeling and forecasting future climatic change over High Asia and other regions of Asia, especially those in monsoon-dominated South Asia. This project will also train collaborating foreign scientists from High Asia countries in the methods of tree-ring analysis. In this way, the researcher is enabling capacity building and technology transfer with scientists from those countries that are offering access to their natural forest resources and tree-ring data.

该奖项支持开发一个密集的每年精确定年的树木年轮年表网络，用于重建高亚洲地区过去300-500年的气候（即，这项研究的目的是更好地了解世界上这一信息相对较少的地区的气候变率、强迫和几十年到几百年时间尺度的影响。高亚洲地区战略位置沿着季风主导的南亚、干燥的青藏高原和北部的亚洲内陆之间的地形边界。为了完成这一网络的开发，研究人员将利用与印度、中国和不丹的树木年轮科学家建立的合作关系，帮助扩大现有的树木年轮数据集，并开发新的树木年轮年表。这项研究有可能提高对地球上人口最稠密地区之一气候变化的理解。这项研究可能会为模拟和预测高亚洲和亚洲其他地区，特别是季风主导的南亚地区的未来气候变化带来新的见解。该项目还将对来自高亚洲国家的合作外国科学家进行树木年轮分析方法方面的培训。通过这种方式，研究人员能够与那些提供天然林资源和树木年轮数据的国家的科学家进行能力建设和技术转让。