CAREER: Teaching Old Data New Tricks: Leveraging Legacy Field Data to Investigate Ice-stream Shut down and Inspire a New Generation of Cryospheric Scientists

职业：教授旧数据新技巧：利用遗留现场数据调查冰流关闭并激发新一代冰冻圈科学家

• 批准号: 2145407
• 负责人: Matthew Siegfried
• 金额: $ 69.65万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145407&HistoricalAwards=false
• 关键词: CAREER; Teaching; Old; Data; New

Antarctic ice streams and outlet glaciers are the primary conduits of glacier ice from the interior of the continent to the ocean, where net ice loss contributes to global sea-level rise. Any process that speeds up or slows down the rate at which these ice streams move can appreciably impact the balance between ice gain and loss in Antarctica, with important implications for coastal communities worldwide. Processes that can lead to ice-stream acceleration are frequently studied, whereas ice-stream stagnation, which most recently occurred in Antarctica about 180 years ago, is studied less often. This project will leverage two decades of existing data from field experiments in Antarctica on a decelerating ice stream. The team will re-process these datasets from five different NSF-funded projects using modern geophysical methods to build long time-series of observations that provide insight into ice-sheet processes and test hypotheses about how stagnation occurs. In parallel, the team will leverage existing experiential field data to develop unique immersive learning modules to provide an accessible mechanism for the next generation of STEM students to experience Antarctic field work. Finally, this CAREER award will support a new pathway for a diverse cohort of researchers in the glaciology community by establishing and hosting annual regional Colorado Glaciology meetings that will connect community college educators and local glaciology researchers to exchange ideas, develop collaborations, and advertise opportunities. Over a quarter century of previous work has proposed that Whillans Ice Stream, West Antarctica, may stagnate by the mid-21st century, yet the processes that drive stagnation are still largely considered only in coarse, idealized terms. This project will leverage 13 years of continuous Global Positioning System data and 29 years of seismic data to interrogate ice-stream deceleration and stagnation processes. The multi-decadal datasets will indicate the evolution of stick-slip motion of the ice stream, long-term and spatially varying ice-thickening trends, and subglacial lake activity. These data will be used to explore how coupled ice-stream/subglacial-hydrology dynamics may lead to ultimate stagnation. In addition to the scientific investigations, the team will ensure the long-term archiving of unprocessed legacy field data to support the ability of future generations to apply novel techniques to past datasets. This project will include research experiences for students from the Colorado community college system and will develop three educational modules using low-cost immersive technologies to inspire and promote ice-sheet science to students from 6th grade to graduate school as well as the public.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.

南极冰流和出口冰川是冰川冰从大陆内部流向海洋的主要通道，其中净冰损失导致全球海平面上升。任何加快或减慢冰流移动速度的过程都会明显影响南极洲冰增减之间的平衡，对全世界沿海社区产生重要影响。导致冰流加速的过程经常被研究，而冰流停滞（最近一次发生在大约 180 年前的南极洲）却很少被研究。该项目将利用南极洲减速冰流现场实验二十年来的现有数据。该团队将使用现代地球物理方法重新处理来自五个不同的国家科学基金会资助项目的这些数据集，以建立长期的观测序列，从而深入了解冰盖过程并测试有关停滞如何发生的假设。与此同时，该团队将利用现有的实地体验数据开发独特的沉浸式学习模块，为下一代 STEM 学生体验南极实地工作提供可访问的机制。最后，该职业奖将通过建立和主办年度科罗拉多州地区冰川学会议，将社区大学教育工作者和当地冰川学研究人员联系起来，交流想法、发展合作和宣传机会，为冰川学界的多元化研究人员提供一条新途径。过去四分之一个多世纪的研究表明，西南极洲的威兰斯冰流可能会在 21 世纪中叶停滞，但人们仍然仅以粗略、理想化的方式来考虑导致停滞的过程。该项目将利用 13 年的连续全球定位系统数据和 29 年的地震数据来研究冰流减速和停滞过程。多年代数据集将表明冰流粘滑运动的演变、长期和空间变化的冰增厚趋势以及冰下湖泊活动。 这些数据将用于探索冰流/冰下水文动力学的耦合如何导致最终的停滞。除了科学研究之外，该团队还将确保未处理的遗留现场数据的长期归档，以支持子孙后代将新技术应用于过去数据集的能力。该项目将包括科罗拉多社区学院系统学生的研究经验，并将使用低成本沉浸式技术开发三个教育模块，以启发和促进六年级到研究生院的学生以及公众的冰盖科学。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。