Dendroclimatic Reconstruction for Western China Using Enhanced-Video Image Analysis

使用增强视频图像分析重建中国西部的树木气候

• 批准号: 9203944
• 负责人: Lisa Graumlich
• 金额: $ 19.38万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-05-01 至 1995-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9203944&HistoricalAwards=false
• 关键词: Dendroclimatic; Reconstruction; Western; China; Using

The region encompassing the Qinghai-Xizang (Tibetan) Plateau is of special importance in the study of global climatic variation because, as the largest and highest plateau in the world, Qinghai-Xizang strongly influences such large-scale climatic phenomena as the Asian monsoon. Our understanding of the climate of this area is severely constrained by lack of meteorological data predating 1950. This award supports a project designed to increase our understanding of the nature and causes of climatic variation in western China over the past thousand years. Tree-ring data from western china will be used to reconstruct temperature and precipitation variation. A significant component of the research effort will be the development of methods to measure climatically sensitive xylem characteristics (e.g., density, cell structure) using image- analysis techniques. The validity of the reconstructions will be assessed through comparisons with other proxy climatic data (e.g., historical records, isotopic variations in glacial ice). The reconstruction will be used to address (1) the nature of long-term temperature trends, (2) the temporal and spatial patterns of drought, and (3) the relationship between trends in temperature on the Tibetan Plateau and Asian monsoon.

涵盖清海Xizang（藏族）高原的地区在全球气候变化的研究中至关重要，因为作为世界上最大和最高的高原，Qinghai-Xizang强烈影响着像亚洲敌人一样大规模的气候现象。 我们对这一地区气候的理解受到了1950年之前缺乏气象数据的严重限制。该奖项支持一个项目，旨在提高我们对过去一千年中中国气候变化的性质和原因的理解。 来自中国西部的树环数据将用于重建温度和降水变化。 研究工作的重要组成部分将是开发使用图像分析技术测量气候敏感的木质部特征（例如，密度，细胞结构）的方法。 重建的有效性将通过与其他代理气候数据（例如，历史记录，冰川冰的同位素变化）进行比较来评估。 重建将用于解决（1）长期温度趋势的性质，（2）干旱的时间和空间模式，以及（3）藏族高原和亚洲季风的温度趋势之间的关系。