Collaborative Research: EAR-Climate: Investigating the past, present, and future of glaciated alpine landscapes using an integrated data-model approach

合作研究：EAR-Climate：使用集成数据模型方法调查冰川高山景观的过去、现在和未来

• 批准号: 2223354
• 负责人: Leif Anderson
• 金额: $ 31.82万
• 依托单位: University of Utah
• 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: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2223354&HistoricalAwards=false
• 关键词: Collaborative; Research; EAR; Climate; Investigating

Today, 80% of all glaciers are smaller than 0.5 km2, and many larger valley glaciers are in the process of transitioning to small cirque glaciers in response to modern warming. Despite their small size, cirque glaciers play an outsized geomorphic and ecological role in alpine landscapes, largely through regionally variable changes in hydrology and sediment transport. Understanding how these glaciers responded to past climate changes and how they will respond to future climate changes is prerequisite for understanding the past evolution and future fate of alpine catchments in the western U.S. and elsewhere. This project will address this need by developing detailed glaciological datasets, both modern and paleo, from an exceptionally well-constrained study site in the Teton Range, Wyoming, and integrating them with a state-of-the-art model to accurately represent glaciers as they shrink and disappear. Ultimately, this work will produce insight into the past, present, and future role of glaciers as agents of alpine landscape evolution while developing an open-source glacier model, which will be applicable to glacial settings globally. The project will also foster new collaborations between four early career PIs, improve STEM education at two public research institutions and one liberal arts college through increased participation of underrepresented minorities in the Earth sciences, and promote climate science literacy and public engagement.This research will advance our fundamental understanding of deglaciation in alpine landscapes by integrating diverse datasets into a new glacier model to simulate past and ongoing glacier retreat in the western U.S. This model represents a transformative advance in that it includes novel representation of topographically-mediated effects on mass balance—processes that are increasingly important as glaciers shrink into shaded cirques. Importantly, the new open-source glacier model (PyG2D) can be applied to other settings worldwide to quantify the effects of climate change on mountain ecosystems, hydrology, and landscapes. By applying and testing this model in the Teton Range, a site with exceptional geologic constraints on past glacier fluctuations and a suite of cirque glaciers that are representative of small glaciers globally, this project will produce the first detailed simulations of future glacier evolution in the contiguous U.S. We will place modern and future glacier change in context by constraining and simulating glacier states from the Last Ice Age to 2100 CE. This work, while focused on a single natural laboratory, has broad implications for glacierized regions elsewhere on the planet and offers an important space-for-time substitution to inform how more heavily glaciated landscapes will evolve in the future. With a continuous record of glacier extent, thickness, and volume this work will lay the foundation for future studies, both geomorphic and ecological in scope, that quantify the impact of glacier change on alpine landscapes facing complete deglaciation. Anticipated results will serve as key examples of the tangible impacts of climate change on the cryosphere that can be readily understood by resource managers, policymakers, and the broader 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.

如今，所有冰川中有80％小于0.5 km2，许多较大的山谷冰川正在过渡到小型冰川冰川，以响应现代变暖。尽管大小很小，但冰川冰川在高山景观中发挥了大型的地貌和生态作用，这主要是通过区域性变化的水文学和沉积物传输的变化。了解这些冰川如何应对过去的气候变化以及它们将如何应对未来的气候变化，这是了解美国西部和其他地方高山流域的过去演变和未来命运的先决条件。该项目将通过开发详细的冰川数据集（现代和古）来满足这一需求，这些数据集是从teton系列中的特殊约束的研究地点（怀俄明州）与最先进的模型集成在一起，以准确表示冰川，它们在收缩和消失时准确地表示冰川。最终，这项工作将洞悉冰川作为高山景观演化的代理的过去，现在和未来的作用，同时开发开源冰川模型，该模型将适用于全球冰川环境。 The project will also foster new collaborations between four early career PIs, improve STEM education at two public research institutions and one liberal arts college through increased participation of underrepresented minorities in the Earth sciences, and promote climate science Literacy and public engagement.This research will advance our fundamental understanding of deglaciation in alpine landscapes by integrating divers datasets into a new glacier model to simulate past and ongoing glacier retreat in the western美国该模型代表了一种变革性的进步，因为它包括对质量平衡的地形介导的影响的新颖表示，当冰川收缩成阴影时，它们越来越重要。重要的是，可以将新的开源冰川模型（PYG2D）应用于全球其他环境，以量化气候变化对山地生态系统，水文学和景观的影响。通过在Teton系列中应用和测试该模型，一个对过去冰川波动的地质限制的网站以及一套代表全球小型冰川的Cirque冰川的套件，该项目将在美国将在现代和未来的冰上造成近距离熟悉的冰期变化，从而使未来冰川进化的第一个详细模拟在近距离冰上变化。这项工作虽然专注于一个自然实验室，但对地球上其他地方的冰川地区具有广泛的影响，并提供了重要的空间替换，以告知将来更加冰川的景观将如何发展。凭借连续的冰川范围，厚度和体积的记录，这项工作将为未来的研究奠定基础，无论是范围的地貌和生态学，从而量化了冰川变化对面临完全脱水的高山景观的影响。抗衡结果将作为气候变化对冰冻圈的切实影响的关键例子，资源经理，决策者和更广泛的公众可以很容易地理解，该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来获得的支持。