Collaborative Research: Detecting Glacier Calving Events from Ocean Waves and Underwater Acoustics

对未来海平面上升的预测取决于对冰盖向海洋输送淡水和冰的速度的准确估计。这些估计是由模型提供的，而模型反过来又取决于我们对冰山崩解等过程的理解。由于缺乏观测，我们预测冰山崩解速度的能力需要提高。该项目将提供一种廉价的手段来发现并潜在地描述这种事件的特征。该项目将通过支持培训一名研究生和一名博士后助理来促进劳动力发展。它将通过在各种网站上发布用R统计语言编写的开源崩解检测软件来增强社区资源。该项目的主要研究人员将开发一种方法，通过测量冰川崩解过程中产生的表面波来检测和表征冰川崩解事件。该方法的开发将利用在西格陵兰岛Sarqardleq峡湾已经收集的数据。项目完成后，数据和方法都将公之于众。此外，他们将使用与波浪数据同时收集的水声数据来表征冰解事件产生的噪音。声学数据和表面压力数据的比较，结合高时间分辨率的时间推移图像，将用于增进对冰川崩解声学特征细节的了解。

Predictions of future sea level rise depend on accurate estimates of the rate at which ice sheets deliver fresh water and ice to the oceans. These estimates are provided by models, which, in turn, depend on our understanding of iceberg calving, among other processes. Due to a lack of observations, our ability to project rates of iceberg calving needs improvement. This project will provide an inexpensive means of detecting and, potentially, characterizing such events.The project will contribute to workforce development through provision of support for the training of a graduate student and a post-doctoral associate. It will enhance community resources by releasing the open source calving detection software, written in the R statistical language, on a variety of web sites.The principal investigators of this project will develop a method for detecting and characterizing glacier calving events by measuring the surface waves generated during the process. Development of the method will make use of data already collected in Sarqardleq fjord in West Greenland. Following the project both the data and the method will be made publicly available. In addition, they will characterize the noise generated by calving events using underwater acoustic data that was collected simultaneously with the wave data. The comparison of the acoustic and surface pressure data, in conjunction with high temporal resolution time-lapse imagery, will be used to improve understanding of the details of acoustic signatures of glacier calving.