Doctoral Dissertation Research: Temperature reconstructions for the United States Intermountain West

这项研究将使用树木年轮数据重建过去1000年的夏季气温，该地区目前没有这些数据。利用一种新的“蓝光”代理进行年轮分析，该项目将为树轮年代学领域做出坚实的贡献。了解当前和过去冷暖期的更广泛的时间和空间模式、时间和幅度，为更好地理解研究区域未来的环境破坏提供了一个框架。这项研究产生的这些数据和环境重建将存放在国际树轮数据库和NOAA世界古气候学数据中心，以便公众以及其他研究人员随时可以获取。作为博士论文研究改进奖，该项目将提供支持，使研究生能够建立独立的研究生涯。当前和未来的气温变化可能对自然和人类系统产生负面影响，需要高分辨率的温度重建来了解当前和更长期的环境变化。历史气温趋势的空间变异性还没有完全被理解，这种知识的缺乏限制了模型预测。这项研究将提高对美国西部夏季气温历史时空变化的理解。它使用应用于树木年轮的新方法来开发温度记录，以提供关于(1)温度变化的过去和当前的时空特征，(2)历史温度的全范围和幅度，以及(3)温度速率变化的时间和方向的信息。这项工作的结果将有助于增加稳健的、长期的、每年解析的环境记录的全球密度，并增加对过去和现在环境趋势的区域变异性的理解。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This study will reconstruct summer air temperatures over the past 1000 years using tree-ring data in an area where these data do not currently exit. Using a novel “blue-light” proxy for tree-ring analysis, this project will provide solid contributions to the field of dendrochronology. Understanding the broader temporal and spatial patterns, timing, and amplitude of current and past cool and warm periods provides a framework to better understand future environmental disruptions in the study region. These data and the environmental reconstructions produced by this research will be hosted at the International Tree-Ring Data Bank and NOAA World Data Center for Paleoclimatology so that they are readily accessible to the public, as well as other researchers. As a Doctoral Dissertation Research Improvement award, this project will provide support to enable a graduate student to establish an independent research career.Current and future changes in temperatures may have negative impacts on natural and human systems and high-resolution temperature reconstructions are needed to understand current and longer-term environmental change. The spatial variability of historic temperature trends is not fully understood, and this lack of knowledge limits model forecasts. This research will improve understandings of the historic spatial and temporal variability of summer temperatures across the western United States. It uses novel methods applied to tree rings to develop temperature records that provide information on (1) past and current spatiotemporal characteristics of temperature variability, (2) the full range and amplitude of historic temperatures, and (3) the timing and direction of temperature rate changes. Results from this work will contribute to increasing the global density of robust, longer-term, annually-resolved environmental records and increase the understanding of regional variability of past and present environmental trends.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.