ITR: Development of an enhanced computer-assisted analysis system for earth science investigation of laminated sediments and tree rings

ITR：开发增强型计算机辅助分析系统，用于层状沉积物和树木年轮的地球科学研究

• 批准号: 0219075
• 负责人: Jonathan Overpeck
• 金额: $ 43.65万
• 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: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219075&HistoricalAwards=false
• 关键词: ITR; Development; enhanced; computer; assisted

0219075OverpeckNatural archives with year-by-year resolution (isannual resolution proxieslo), such as tree-rings, varved sediments, corals, mollusks, and speleothems, are becoming increasingly critical for understanding the nature of past environmental variability, and how it may change in the future. The most obvious use of these archives is in understanding the patterns and causes of natural interannual to century-scale climate variability, and how humans may be altering this variability. They are also central, however, to an increasingly broad range of Earth Science applications, including documenting paleoseismicity, calibrating the radiocarbon time scale, investigating hydrologic variability, and understanding paleoecosystem dynamics. Their capability to provide the absolute time scale needed to understand these dynamics on many societally-relevant time scales is particularly important. At present, extracting information from these sources is extraordinarily labor-intensive, resulting in undesirable limitations on temporal resolution and replication that result in excessive uncertainties concerning the environmental signals of interest. This applies even when sophisticated detectors are used to make basic measurements, since great care must be taken in stringing series of measurements together into very long time series whilst retaining all information that might turn out to be useful later in the analysis. Existing image-analysis software alone cannot solve this problem. The labor-intensive analysis that these records require has created a strong incentive to develop instrumentation that can be used to process samples more efficiently, and with more interpretive power than is available from off-the- shelf image processing software.This Information Technology Research Small Grants Program (ITR) award will support the development of software for automated counting of annually laminated climate change proxies (tree rings and varves). The developments are based on a prototype computer-assisted dendrochronology workstation and associated control and image analysis software (TREES v. 1) that was previously funded to co-PI Schowengerdt by NSF's Anthropology program (BCS-9601867). This award will support the creation of TREES v.2, a Linux-based PC version of TREES v.1, which was written exclusively for the SUN platform, and VARVES v.1, also Linux-based software designed to automate counting of laminated lake and marine sediments. ***

0219075逐年解决（年度分辨率的proxieslo），例如树木环，河形沉积物，珊瑚，软体动物和辣椒，越来越重要，对于理解过去环境变异的本质以及未来如何变化而变得越来越重要。这些档案的最明显用途是了解自然到世纪至世纪气候变化的模式和原因，以及人类如何改变这种变异性。但是，它们也是越来越广泛的地球科学应用，包括记录古呼吸震荡，校准放射性碳时间尺度，研究水文变异性以及了解古生态系统动态。他们提供在许多与社会相关的时间量表上理解这些动态所需的绝对时间尺度的能力尤其重要。 目前，从这些来源中提取信息非常密集，导致对时间分辨率和复制的不良限制，从而导致有关感兴趣的环境信号的过度不确定性。即使使用复杂的检测器来进行基本测量值，这也适用，因为必须在将一系列测量串联成一系列测量中，同时保留所有可能在以后在分析中很有用的信息。仅现有的图像分析软件无法解决此问题。 The labor-intensive analysis that these records require has created a strong incentive to develop instrumentation that can be used to process samples more efficiently, and with more interpretive power than is available from off-the- shelf image processing software.This Information Technology Research Small Grants Program (ITR) award will support the development of software for automated counting of annually laminated climate change proxies (tree rings and varves). 这些发展是基于原型计算机辅助的Dendrosology工作站以及相关的控制和图像分析软件（TROEDv。1），该软件先前由NSF的人类学计划（BCS-9601867）资助了Co-Pi Schowengerdt。 该奖项将支持创建树木V.2，这是基于Linux的PC版本的TROED V.1，专为Sun Platform编写，Varves V.1（也是基于Linux的软件，旨在自动化层压层的湖泊和海洋沉积物。 ***