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

合作研究：RUI：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: 2223352
• 负责人: Darren Larsen
• 金额: $ 14.57万
• 依托单位: Occidental College
• 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=2223352&HistoricalAwards=false
• 关键词: Collaborative; Research; RUI; EAR; Climate

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.

今天，80%的冰川小于0.5平方公里，许多较大的山谷冰川正处于向小型环状冰川过渡的过程中，以应对现代变暖。尽管规模很小，但环状冰川在高山景观中发挥着巨大的地貌和生态作用，主要是通过水文和泥沙运输的区域可变变化来实现的。了解这些冰川如何对过去的气候变化作出反应，以及它们将如何对未来的气候变化作出反应，是了解美国西部和其他地区高山流域过去的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学数据集（包括现代和古冰川学数据集）来满足这一需求，这些数据集来自怀俄明州提顿山脉（Teton Range）一个非常严格的研究地点，并将其与最先进的模型相结合，以准确地反映冰川萎缩和消失的过程。最终，这项工作将深入了解冰川作为高山景观演变代理人的过去、现在和未来的作用，同时开发一个开源冰川模型，该模型将适用于全球冰川环境。该项目还将促进四个早期职业pi之间的新合作，通过增加代表性不足的少数民族对地球科学的参与，改善两所公共研究机构和一所文理学院的STEM教育，并促进气候科学素养和公众参与。这项研究将通过将不同的数据集整合到一个新的冰川模型中来模拟美国西部过去和正在进行的冰川退缩，从而提高我们对高山景观中冰川消融的基本理解。这个模型代表了一个变革性的进步，因为它包括了地形对质量平衡过程的新表征，随着冰川收缩成阴影圈，这种平衡过程越来越重要。重要的是，新的开源冰川模型（PyG2D）可以应用于全球其他环境，以量化气候变化对山地生态系统、水文和景观的影响。通过在提顿山脉（Teton Range）应用和测试这一模型，该项目将产生美国邻近地区未来冰川演变的第一个详细模拟。该项目将通过限制和模拟从最后一个冰河时代到公元2100年的冰川状态，将现代和未来的冰川变化置于背景中。提顿山脉是一个对过去冰川波动具有特殊地质限制的地点，也是一套代表全球小冰川的环状冰川。这项工作虽然集中在一个单一的自然实验室，但对地球上其他地方的冰川地区具有广泛的影响，并提供了一个重要的时空替代，以了解更多的冰川景观将如何在未来演变。通过对冰川范围、厚度和体积的连续记录，这项工作将为未来的地貌学和生态学研究奠定基础，从而量化冰川变化对面临完全冰川消融的高山景观的影响。预期结果将作为气候变化对冰冻圈的实际影响的关键例子，资源管理者、政策制定者和广大公众可以很容易地理解这些影响。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。