Postdoctoral Fellowship: EAR-PF: Investigation of High Mountain Asia Glacial Lake Variations Under a Warming Climate

Sonam Futi Sherpa博士已获得NSF地球科学博士后奖学金，在Laurence C.教授的指导和监督下开展研究和专业发展活动。布朗大学的史密斯。高山亚洲的冰川湖，充满了冰川融化储存大量的水。冰川湖面积的迅速增加显示了全球气候变化导致的气温上升的影响。这些冰川湖和冰川融化是下游居民的水源。但是冰川湖的破裂（爆发）会导致冰川湖爆发洪水（GLOFs）。GLOFs是在山区如安第斯山脉、阿尔卑斯山、喜马拉雅山等观察到的自然灾害。HMA正在经历对比鲜明的冰川融化以及冰川湖泊的不同演变。虽然之前已经报道了冰川湖泊数量和规模的增加，但在气候变暖和季风下冰川湖泊和GLOFs事件的趋势和模式如何变化需要进一步研究。夏尔巴博士将利用最近发射的SWOT（地表水和海洋地形）使命来观察冰川湖的大小和GLOFs的出现。她将建立方法和科学方法来了解水的可用性和危害。在她的项目期间，她计划指导来自STEM（科学，技术，工程和数学）和计算领域的历史上被排斥的群体的本科生。她将通过研讨会，科学期刊和社交媒体，包括布朗现有的多样性，公平性和包容性平台来传达她的结果。她的研究将产生大量与水循环变化相关的开放数据。决策者、公众和科学界将能够访问这些数据集。这些公开数据使结果得以复制，并使方法得以在新的区域实施。她的工作有助于气候-水相关的政策制定和科学进步。亚洲高山地区（HMA）经历了冰川质量损失模式与冰川湖泊演变的对比。虽然以前的几项研究已经报道了冰川湖泊的数量和范围（面积，体积）的增加，但冰川湖泊和冰川湖泊爆发洪水（GLOFs）事件的趋势和模式如何在气候变暖和季风下发生变化需要进一步调查。Sonam Futi Sherpa博士将利用尖端技术，如来自地表水和海洋地形（SWOT）使命的干涉合成孔径雷达（干涉合成孔径雷达）和其他SAR卫星数据，以估计冰川湖的高分辨率时空演变。她将进一步利用气候建模技术的输出来研究气候变暖下冰川融化和冰川湖扩张之间的关联。她的工作有助于从根本上了解冰川湖体积演变的模式和趋势，这些模式和趋势目前在解决冰川对气候变化的水文响应以进行水资源管理的模型中被忽视。此外，她的工作允许量化来自GLOFs的风险管理危害。她的研究中制定和使用的方法和科学框架可用于任何全球或地方系统，包括安第斯山脉、喜马拉雅山脉、阿尔卑斯山、格陵兰、泛北极或地球仪的其他冰川地区。Sherpa博士的研究解决了美国国家科学基金会地球科学部（National Science Foundation's Division of Earth Sciences）的优先科学问题“地球的水循环如何变化？”和“地球科学研究如何减少地质灾害的风险和损失？她计划致力于促进和指导来自STEM和计算领域历史上被排斥的群体的本科生。她将向来自以下领域的观众传播她的研究成果：1）科学界（通过科学会议和同行评审期刊）; 2）本科生和研究生通过计算和科学传播研讨会和3）通过社会媒体和现有的布朗大学的多样性，公平，该奖项反映了NSF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。

Dr. Sonam Futi Sherpa has been awarded an NSF Earth Sciences Postdoctoral Fellowship to carry out research and professional development activities under the mentorship and supervision of Prof. Laurence C. Smith at Brown University. High Mountain Asia’s glacial lakes, filled with melt from glaciers store large volumes of water. The rapid increase in the size of glacial lakes shows the impact of rising temperatures from global climate change. These glacial lakes and glacier melts are a source of water for people living downstream. But a breaking (outburst) of glacial lakes causes Glacial Lake Outburst Floods (GLOFs). GLOFs are a natural hazard observed in mountain regions such as the Andes, the Alps, the Himalayas, and others. HMA is experiencing contrasting glacier melt alongside different evolution of glacial lakes. Although the increased number and size of glacial lakes have been reported before, how trends and patterns of glacial lakes and GLOFs events are changing under warming climate and monsoons need further investigation. Dr. Sherpa will use the recently launched SWOT (Surface Water and Ocean Topography) mission to observe glacial lake size and occurrences of GLOFs. She will build methods and scientific approaches to understanding water availability and hazard. During her project, she plans to mentor undergraduates from historically excluded groups in the field of STEM (Science, Technology, Engineering, and Mathematics) and computing. She will communicate her results through workshops, science journals, and social media, including Brown’s existing diversity, equity, and inclusion platforms. Her study will generate a large volume of open data related to changing water cycle. Policymakers, the public, and scientific communities will be able to access these datasets. These open data allow results to be reproduced and methods to be implemented in new regions. Her work helps in climate-water-related policymaking and scientific advancement.High Mountain Asia (HMA), experiences contrasting glacier mass loss patterns alongside varying evolution of glacial lakes. Although increased number and extent (area, volume) of glacial lakes have been reported previously by several studies, how trends and patterns of glacial lakes and Glacial Lake Outburst Floods (GLOFs) events are changing under warming climate and monsoon require further investigation. Dr. Sonam Futi Sherpa will utilize cutting-edge technologies, such as Interferometric Synthetic Aperture Radar (InSAR) from Surface Water and Ocean Topography (SWOT) mission and other SAR satellites data to estimate high-resolution spatio-temporal evolution of glacial lakes. She will further utilize the outputs of climate modeling techniques to investigate association between melting of glaciers and the expansion of glacial lakes, under a warming climate. Her work contributes to a fundamental understanding of patterns and trends of glacial lake volume evolution that are currently neglected in models addressing the hydrological responses of glaciers to climate change for water management. Furthermore, her work allows quantification of hazards coming from GLOFs for risk management. The methodological and scientific framework developed and used in her study could be utilized in any global or local system including the Andes, Himalayas, Alps, Greenland, pan-Arctic, or other glaciated parts of the globe. Dr. Sherpa’s research addresses the National Science Foundation’s Division of Earth Sciences (EAR) priority science questions “How is Earth’s water cycle changing?” and “How can Earth science research reduce the risk and toll of geohazards? She plans to work on the promotion and mentorship of undergraduates from historically excluded groups in STEM and computing. She will disseminate the results of her research to audiences from: 1) the scientific community (through scientific conferences and peer-reviewed journals); 2) undergraduate and graduate students through computational and science communication workshops and 3) public outreach through social media and existing Brown University diversity, equity, and inclusion (DEI) outreach programs.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.