课题基金 / 基金详情

GLOBE: The Greenland Subglacial Lake Observatory

GLOBE: The Greenland Subglacial Lake Observatory
GLOBE:格陵兰冰下湖天文台
批准号:
EP/Y02642X/1
负责人:
Malcolm McMillan
金额:
$215.65万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
理论预测表明,格陵兰冰盖下隐藏着1600个冰下湖泊。然而,到目前为止,只有不到5%的人被发现,研究发现只有7个人在积极地填充或排泄。追踪格陵兰岛下面的活跃湖泊是有问题的,因为它们比南极洲下面的湖泊小100倍,大多数标准卫星方法都无法探测到它们。在这里,我将从根本上提高探测、监测、预测和理解大规模活跃格陵兰冰下湖泊动态的能力。GLOBE将改变目前对其分布、动态、驱动因素和影响几乎一无所知的状态;所有的湖泊都可以实时监测,它们的历史被解决,概率预测可以预测它们未来的排水。GLOBE将通过三个关键领域的创新来实现这一目标,1)大规模利用新的超高分辨率卫星数据,2)开发利用非常规数据的新方法,以及3)开发新的深度学习和统计预测方法。具体来说,我将1)首次使用大量数字高程模型和机器学习来绘制整个大陆和过去25年的湖泊活动图;2)训练深度学习模型来搜索历史卫星图像中的活跃湖泊;3)使用视频监控方法来自主识别新的湖泊活动,因为它发生了;4)使用统计技术对未来的湖泊演变进行首次预测。最终,GLOBE将促成一种全新的大规模湖泊监测方法,创建一个格陵兰冰下湖观测站,自主跟踪、预测和传播湖泊活动,从而改变对难以捉摸的湖泊排水事件的驱动因素、动态和影响的理解。
英文摘要
Theoretical predictions suggest that 1600 subglacial lakes lie hidden beneath the Greenland Ice Sheet. Yet less than 5% have been discovered to date, and studies have found only 7 that are actively filling or draining. Tracking active lakes beneath Greenland is problematic because they are 100 times smaller than those beneath Antarctica, rendering them undetectable by most standard satellite methods. Here, I will radically advance the ability to detect, monitor, forecast and understand the dynamics of active Greenland subglacial lakes at scale. GLOBE will transform the field from its current state, where almost nothing is known about their distribution, dynamics, drivers and impacts; to a position where all lakes are monitored in real time, their histories are resolved, and probabilistic forecasts predict their future drainage. GLOBE will achieve this through innovation in three key areas, 1) exploiting new, super-high resolution satellite data at scale, 2) developing new methods that exploit unconventional data, and 3) developing novel deep learning and statistical forecasting methodologies. Specifically, I will 1) use high-volume digital elevation models and machine learning to map lake activity, for the first time, over the entire continent and the past 25 years, 2) train deep learning models to search for active lakes in historical satellite imagery, 3) use video surveillance methods to autonomously identify new lake activity as it happens, and 4) use statistical techniques to make the first forecasts of future lake evolution. Ultimately, GLOBE will catalyse an entirely new approach to large-scale lake monitoring, creating a Greenland Subglacial Lake Observatory that autonomously tracks, forecasts and disseminates lake activity, thus transforming understanding of the drivers, dynamics and impacts of elusive lake drainage events.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金