Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes

合作研究：南极冰盖上的水：量化地表融化并绘制冰上湖泊地图

• 批准号: 2021699
• 负责人: Luke Trusel
• 金额: $ 9.79万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-24 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021699&HistoricalAwards=false
• 关键词: Collaborative; Research; Water; Antarctic; Ice

Melting of snow and ice at the surface of the Antarctic ice sheet can lead to the formation of meltwater lakes, an important precursor to ice-shelf collapse and accelerated ice-sheet mass loss. Understanding the present state of Antarctic surface melt provides a baseline to gauge how quickly melt impacts could evolve in the future and to reduce uncertainties in estimates of future sea-level rise. This project will use a suite of complimentary measurements from Earth-observing satellites, ground observations, and numerical climate and ice-shelf models to enhance understanding of surface melt and lakes, as well as the processes linking these systems. The project directly supports the scientific training of a postdoctoral associate and several undergraduate researchers. In addition, it will promote public scientific literacy and the broadening of quantitative skills for high-school students through the development and implementation of an educational unit in a partnership with an education and outreach expert and two high school teachers.Accurate prediction of sea-level contributions from Antarctica critically requires understanding current melting and supraglacial lake conditions. This project will quantify Antarctic surface melt and supraglacial lakes, and the linkages between the two phenomena. Scatterometer data will enable generation of a 19-year multi-sensor melt time series. Synthetic aperture radar data will document melt conditions across all Antarctic ice shelves at the highest spatial resolution to date (40 m). Multispectral satellite imagery will be used to delineate and measure the depth of supraglacial lakes--for the first time studying the spatial and temporal variations of Antarctic supraglacial lakes. Melt and lake observations will be compared to identify agreement and disagreement. Melt observations will be used to evaluate biases in a widely used, reanalysis-driven, regional climate model. This model will then be used to examine climatic and glaciological variables associated with supraglacial lakes. Finally, in situ observations and climate model output will drive a numerical model that simulates the entire lifecycle of surface melt and possible subsequent lake formation.

南极冰盖表面的冰雪融化会导致融水湖的形成，这是冰架崩塌和加速冰盖质量损失的重要前兆。了解南极表面融化的现状为衡量未来融化影响的发展速度提供了基线，并减少了对未来海平面上升估计的不确定性。该项目将使用一系列来自地球观测卫星、地面观测以及数值气候和冰架模型的免费测量结果，以增强对地表融化和湖泊以及连接这些系统的过程的了解。该项目直接支持一名博士后助理和几名本科研究人员的科学培训。此外，它将通过与一名教育和推广专家以及两名高中教师合作开发和实施一个教育单元，提高公众科学素养并扩大高中生的定量技能。 准确预测海平面南极洲的贡献至关重要，需要了解当前的融化和冰上湖泊状况。该项目将量化南极表面融化和冰上湖泊以及这两种现象之间的联系。 散射计数据将能够生成 19 年多传感器熔化时间序列。合成孔径雷达数据将以迄今为止最高的空间分辨率（40 m）记录所有南极冰架的融化情况。多光谱卫星图像将用于描绘和测量冰上湖泊的深度，这是首次研究南极冰上湖泊的时空变化。将比较融化和湖泊的观测结果以确定一致和分歧。融化观测将用于评估广泛使用的、再分析驱动的区域气候模型中的偏差。然后，该模型将用于检查与冰上湖泊相关的气候和冰川变量。最后，现场观测和气候模型输出将驱动一个数值模型，模拟地表融化的整个生命周期以及随后可能形成的湖泊。

项目成果

Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes

使用 Landsat 8 和 Sentinel-2 图像进行南极冰上湖泊探测：迈向湖泊体积的大陆生成

• DOI: 10.3390/rs12010134
• 发表时间: 2020-01
• 期刊: Remote Sensing
• 影响因子: 5
• 作者: Moussavi, Mahsa;Pope, Allen;Halberstadt, Anna;Trusel, Luke;Cioffi, Leanne;Abdalati, Waleed
• 通讯作者: Abdalati, Waleed

Repeated Tidally Induced Hydrofracture of a Supraglacial Lake at the Amery Ice Shelf Grounding Zone

阿默里冰架接地区冰上湖反复潮汐引起的水力压裂

• DOI: 10.1029/2021gl095661
• 发表时间: 2022-04
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Trusel, Luke D.;Pan, Zhuolai;Moussavi, Mahsa
• 通讯作者: Moussavi, Mahsa

Antarctic Supraglacial Lake Identification Using Landsat-8 Image Classification

使用 Landsat-8 图像分类识别南极冰上湖

• DOI: 10.3390/rs12081327
• 发表时间: 2020-04
• 期刊: Remote Sensing
• 影响因子: 5
• 作者: Halberstadt, Anna Ruth;Gleason, Colin J.;Moussavi, Mahsa S.;Pope, Allen;Trusel, Luke D.;DeConto, Robert M.
• 通讯作者: DeConto, Robert M.

Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models

ISMIP6 独立冰盖模型海平面预测的实验协议

• DOI: 10.5194/tc-14-2331-2020
• 发表时间: 2020-01
• 期刊: The Cryosphere
• 作者: Nowicki, Sophie;Goelzer, Heiko;Seroussi, Hélène;Payne, Anthony J.;Lipscomb, William H.;Abe;Agosta, Cécile;Alexander, Patrick;Asay;Barthel, Alice;et al
• 通讯作者: et al