Multi-parameter Selection Curves for Machine-assisted Annual Layer Interpretations of the WAIS-Divide Core

McGwire/1142164该奖项支持一个项目，该项目将一种新的“选择曲线”方法扩展到冰芯化学测量分析中，该方法是根据介电特性（DEP）开发的，用于解释南极西部冰盖（WAIS）分水岭冰芯的年度层。选择曲线算法使用样条曲线，其形状选择冰芯参数图中连续的年度峰值。使用50米的手动解释的校准数据，选择曲线方法匹配的手动解释整个1200米的数据集内的总计数和2%的均方根误差（RMSE）的1%。在这个项目中，选择曲线方法将得到加强，以纳入从WAIS分水岭冰芯的高分辨率连续流分析测量得出的多种化学测量结果，并将包括一些年度峰值选择质量指标。该项目的智力价值在于，它将为多参数计数提供一种客观、可重复的方法，以支持最终WAIS分水岭年度分辨时间尺度的开发。这种能力将提高WAIS Divide和未来研究中时标开发的速度和端到端的一致性。在次年度尺度上提取冰芯信息的能力有可能极大地丰富对过去气候状况的理解。这项工作将产生更广泛的影响，使社会受益，因为冰芯科学解决了与全球变暖，气候突变和地球化学循环有关的至关重要的问题，这将有助于为政策制定者提供信息。通过将一个客观的、可重复的多参数计数工具整合到WAIS分水岭的最终时标开发战略中，拟议的努力将减少对冰芯解释和气候变化科学中主观性的潜在不当批评。拟议的分析软件将提供给广大社区，改善科学基础设施，并可用于非冰核心应用以及。该项目不需要在南极进行实地考察。

McGwire/1142164This award supports a project to extend a novel "selection curve" method that was developed to interpret annual layers in the West Antarctic Ice Sheet (WAIS) Divide ice core based on dielectric properties (DEP) to the analysis of ice core chemical measurements. The selection curve algorithm uses a spline curve whose shape selects successive annual peaks in plots of ice core parameters. Using 50 meters of manually interpreted calibration data, the selection curve method matched a manual interpretation throughout a 1200 m dataset to within 1% of the total count and 2% root-mean square error (RMSE). In this project the selection curve method will be enhanced to incorporate multiple chemical measurements derived from high-resolution continuous flow analysis (CFA) measurements of the WAIS Divide ice core and will include a number of indicators for the quality of annual peak selections. The intellectual merit of this project is that it will provide an objective, repeatable method for multi-parameter counting to support the development of the final WAIS Divide annually resolved timescale. This capability will improve the speed and end-to-end consistency of timescale development at WAIS Divide and in future studies. The ability to extract ice core information at sub-annual scales has the potential to greatly enrich the understanding of past climate regimes. This work will have broader impacts that benefit society because ice core science addresses critically important questions related to global warming, abrupt climate change, and biogeochemical cycling that will help to inform policy makers. By integrating an objective, repeatable multi-parameter counting tool into the final timescale development strategy at WAIS Divide, the proposed effort would reduce potential undue criticism of subjectivity in ice core interpretations and climate change science. The proposed analytical software will be made available to the broad community, improving scientific infrastructure, and could be used for non- ice core applications as well. This project does not require field-work in the Antarctic.