Glacier Extremes: The Role of Glacier Snow Albedo Feedbacks From Wildfires and Heatwaves in Enhancing Present and Future Mass Loss in Alaska

冰川极端事件：野火和热浪的冰川雪反照率反馈在加剧阿拉斯加当前和未来质量损失中的作用

• 批准号: 2214509
• 负责人: David Rounce
• 金额: $ 44.8万
• 依托单位: Carnegie-Mellon University
• 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: 2022-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2214509&HistoricalAwards=false
• 关键词: Glacier; Extremes; Role; Snow; Albedo

Glaciers are rapidly losing mass, which impacts sea-level rise, water resources, ecosystems, climate, culture, and tourism. Improving our understanding of the drivers of mass change and our ability to project mass loss is therefore essential to support adaptation and mitigation efforts. This project seeks to advance our understanding of the role that wildfires and heatwaves have on enhancing present and future glacier mass loss in Alaska. The project will use and develop state-of-the-art glacier and climate models to account for important physical processes and feedbacks that are not included in current models. We will produce the first projections of the enhanced glacier mass loss caused by wildfires and heatwaves, which are projected to become increasingly frequent and widespread in the future. More broadly, we commit the project to the education and training of students and the public. Activities will include co-developing K-9 education modules on glaciers and climate change with local educators, lecturing in K-12 classes and posting Meet the Researcher interviews to help humanize us scientists, and developing educational materials geared towards the public for national parks in Alaska.The impact of wildfires and heatwaves on glacier mass loss is poorly understood. This project will focus on advancing our process-based understanding and quantifying the impact that wildfires, heatwaves, and corresponding feedbacks have on glacier mass loss in Alaska. We will use in situ measurements, remote sensing data, regional and global climate models, glacier energy balance models, and glacier evolution models to investigate the impact of these extreme events across a range of spatial and temporal scales. The investigators will develop new parameterizations for glacier energy balance and glacier evolution models to account for how the deposition of black and brown carbon from wildfires onto glacier surfaces enhances glacier melt. Case studies and controlled simulations will advance our process-based understanding of the primary and secondary feedback mechanisms driving glacier changes. The investigators will integrate this knowledge into state-of-the-art glacier evolution models to produce the first projections of glacier mass loss in Alaska that account for wildfires, heatwaves, and corresponding glacier feedbacks.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.

冰川正在迅速失去质量，影响海平面上升，水资源，生态系统，气候，文化和旅游业。因此，提高我们对质量变化驱动因素的理解和预测质量损失的能力，对于支持适应和减缓努力至关重要。该项目旨在促进我们对野火和热浪在增强阿拉斯加目前和未来冰川质量损失方面的作用的理解。该项目将使用和开发最先进的冰川和气候模型，以解释目前模型中没有包括的重要物理过程和反馈。我们将对野火和热浪造成的冰川质量损失进行首次预测，预计未来这些损失将变得越来越频繁和广泛。更广泛地说，我们致力于教育和培训学生和公众的项目。活动将包括与当地教育工作者共同开发关于冰川和气候变化的K-9教育模块，在K-12课堂上讲课，并发布Meet the Researcher访谈，以帮助我们科学家人性化，并为阿拉斯加国家公园开发面向公众的教育材料。野火和热浪对冰川质量损失的影响知之甚少。该项目将侧重于推进我们基于过程的理解，并量化野火，热浪和相应的反馈对阿拉斯加冰川质量损失的影响。我们将使用现场测量，遥感数据，区域和全球气候模型，冰川能量平衡模型和冰川演化模型来调查这些极端事件在一系列时空尺度上的影响。研究人员将为冰川能量平衡和冰川演化模型开发新的参数化，以解释野火中黑色和棕色碳沉积到冰川表面如何促进冰川融化。案例研究和受控模拟将推进我们对驱动冰川变化的主要和次要反馈机制的基于过程的理解。研究人员将把这些知识整合到最先进的冰川演化模型中，以产生阿拉斯加冰川质量损失的第一个预测，该预测解释了野火，热浪和相应的冰川反馈。该奖项反映了NSF的法定使命，并被认为值得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来支持。