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EarthCube RCN: Collaborative Research: Engaging the Greenland Ice Sheet Ocean (GRISO) Science Network

EarthCube RCN: Collaborative Research: Engaging the Greenland Ice Sheet Ocean (GRISO) Science Network
EarthCube RCN:合作研究:参与格陵兰冰盖海洋 (GRISO) 科学网络
批准号:
1743687
负责人:
Fiammetta Straneo
金额:
$25.33万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-05-01 至 2019-07-31

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中文摘要
翻译
在过去的二十年里,格陵兰岛的冰损失翻了两番,目前占全球海平面上升的四分之一。冰的损失是由于与空气和海洋温度上升有关的地表质量平衡和冰盖动力学的变化。随之增加的淡水排放正在影响区域海洋,包括其生态系统,并有可能影响大规模的北大西洋环流。因此,格陵兰岛的变化正在对全球社会产生深远的影响,但造成这些变化的机制还没有得到很好的理解。特别是,动态冰损失很可能是由终止海洋的冰川边缘的变化引发的,这些变化是通过冰/海洋/大气过程引起的,而这些过程在气候、冰盖和海洋模式中要么不存在,要么代表性不足。格陵兰岛的海洋、冰川和大气的相互作用?S边缘是一个新的研究前沿。所涉及的复杂过程包括地球系统多个组件的耦合,从该区域获取和整合各种数据的挑战,以及这样一个复杂系统的建模。这些挑战使得这个问题只能通过整合多个学科来解决,包括数据管理,协同探索不同的方法,并跨越国界。这个项目建立了一个网络,帮助在这个领域工作的科学家分享他们的数据并协同工作。该项目的目标是通过建立GRISO(格陵兰冰盖海洋)科学网络(一个由科学家和网络基础设施专家组成的国际、多学科、开放的网络),大大加强多学科活动和合作。与会者都有兴趣增进对与格陵兰冰盖变化及其对区域和全球气候影响有关的问题的集体理解。GRISO RCN活动将汇集专注于格陵兰冰/海洋/大气/气候数据各个方面的科学家,并为富有成效的协作互动提供一个框架。具体目标包括两个讲习班和一系列综合努力。此外,利用现有基础设施的虚拟数据门户将使跨学科数据提交和数据可用性更容易,并促进统一和适当的数据管理实践。RCN建立在前GRISO美国CLIVAR工作组发起的活动的基础上,并明确解决了2013年举行的国际研讨会报告中确定的优先事项。
英文摘要
Greenland ice loss quadrupled over the last two decades and presently accounts for one quarter of global sea level rise. The ice loss is due to changes in surface mass balance and ice sheet dynamics associated with rising air and ocean temperatures. The associated increasing freshwater discharge is impacting the regional ocean, including its ecosystems, and has the potential to impact the large-scale North Atlantic circulation. Thus, Greenland's changes are having far-reaching consequences for global societies, yet the mechanisms responsible for these changes are not well understood. Dynamic ice loss, in particular, was likely triggered by changes at the margins of marine-terminating glaciers, through ice/ocean/atmosphere processes that are either absent or poorly represented in climate, ice sheet and ocean models. The interaction of the ocean, the glaciers and atmosphere at Greenland?s margins is a new research frontier. The complex processes involved include the coupling of multiple components of the Earth system, the challenges of obtaining and integrating diverse data from this region, and of modeling such a complex system. These challenges make this a problem that can only be addressed by bringing together multiple disciplines, including data management, collaboratively exploring diverse approaches and working across national borders. This project establishes a network to help scientists working in this area to share their data and work collaboratively.The goal of this project is to substantially enhance multi-disciplinary activities and collaboration through the establishment of the GRISO (Greenland Ice Sheet Ocean) Science Network - an international, multidisciplinary, open network of scientists and cyberinfrastructure experts. Participants have a shared interested in advancing collective understanding of problems related to Greenland Ice Sheet change and its impact on regional and global climate. GRISO RCN activities will bring together scientists focused on all aspects of ice/ocean/atmosphere/climate data in Greenland and provide a framework for productive collaborative interaction. Specific objectives include two workshops, and a series of synthesis efforts. Additionally, a virtual data portal, leveraging existing infrastructure, will make interdisciplinary data submission and data availability easier and promote uniform and appropriate data management practices. The RCN builds on activities initiated by the former GRISO US CLIVAR Working Group and explicitly addresses priorities identified in a report from an international workshop held in 2013.
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会议论文
Collaborative Research: NNA Research: Global changes, local impacts: Study of glacial fjords, ecosystems and communities in Greenland
Collaborative Research: Overturning in the Subpolar North Atlantic Program
Collaborative Research: AccelNet: Accelerating discoveries at Greenlands marine margins through international collaboration
RAPID: Ocean Forcing for Ice Sheet Models for the IPCC Sixth Assessment Report
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