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GEO OSE Track 2: Enhancing usability of the Parallel Ice Sheet Model (PISM) to accelerate innovative sea-level research

GEO OSE Track 2: Enhancing usability of the Parallel Ice Sheet Model (PISM) to accelerate innovative sea-level research
GEO OSE 轨道 2:增强平行冰盖模型 (PISM) 的可用性,以加速创新的海平面研究
批准号:
2324718
负责人:
Andy Aschwanden
金额:
$63.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-03-01 至 2027-02-28

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中文摘要
翻译
平行冰原模型(PISM)使研究人员能够回答有关地球冰川和冰原的过去、现在和未来的问题。PISM是开放开发的,其代码对公众免费开放。尽管如此,对于所有用户来说,PISM并不容易使用。此外,尖端研究还需要获得超级计算机的知识,这可能会给研究人员带来经济负担,或者导致时间限制,或者两者兼而有之。该项目的目标是通过使PISM更容易安装和使用来加速创新的海平面研究,从而使研究人员有更多的时间专注于科学。这个项目将使不断增长的PISM用户群体以及更广泛的海平面研究界受益。PISM的拟议包装和易于使用的PISM云版本预计将吸引新的研究人员进入该领域,并减少现有用户的科学时间,从而有更多时间可用于开发可复制的新颖创造性和创新性海平面科学。使PISM更易于使用,从而促进冰川学和海平面上升研究的上述目标将通过以下方式实现:1 .通过社区首选渠道(如Spack, Conda, Debian)打包和分发PISM版本;2 .开发PISM的云原生模拟平台,即PISM- cloud,只需几分钟即可完成设置,只需点击几下鼠标即可通过Jupyter笔记本界面访问;生成一个基于PISM-Cloud的工作示例“PISM-Cloud7”,用户将能够参与下一个社区工作,以估计格陵兰岛未来的冰损失(“CMIP7的冰盖建模比对”,简称ISMIP7)。4 .举办培训研讨会;为参与ISMIP7的小组提供对云计算资源的选择免费访问。项目研究人员将使用PISM-Cloud7参与第7次冰盖模拟比对项目(ISMIP7)。此外,一个培训研讨会将帮助新的研究人员开始使用PISM-Cloud7,并为ISMIP7社区的努力做出贡献。PISM-Cloud还将使教育工作者更容易在基于PISM-Cloud7研讨会材料和文档的课程中包括冰盖建模和海平面研究的实践经验。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The Parallel Ice Sheet Model (PISM) allows researchers to answer questions about the past, present, and future of the Earth's glaciers and ice sheets. PISM has been developed in the open, with its code freely accessible to the public. Despite this, PISM is not as easy to use for all users. In addition, cutting edge research also requires access to and knowledge of supercomputers, which can either create a financial burden on researchers or result in time constraints, or both. The goal of this project is to accelerate innovative sea-level research by making PISM easier to install and use, thus giving researchers more time to focus on science. This project will benefit the growing community of PISM users as well as the broader sea-level research community. The proposed packaging of PISM and the easy-to-use cloud version of PISM are expected to attract new researchers to the field and reduce the time to science for existing users, resulting in more time available to develop novel creative and innovative sea-level science that is reproducible.The above goal of making PISM easier to use, and therefore facilitating glaciology and sea level rise research, will be achieved by: 1. packaging and distributing PISM releases through community preferred channels (e.g. Spack, Conda, Debian), 2. developing a cloud-native simulation platform for PISM, PISM-Cloud that can be set up within a few minutes and with a few mouse clicks and accessed through a Jupyter notebook interface, 3. generating a working example “PISM-Cloud7” built upon PISM-Cloud with which users will be able to participate in the next community effort to estimate future ice loss from Greenland ("Ice Sheet Modeling Intercomparison for CMIP7", ISMIP7 for short) 4. hosting a training workshop, and 5. providing select free access to cloud-computing resources to groups participating in ISMIP7. Project researchers will use PISM-Cloud7 to participate in the 7th Ice Sheet Modeling Intercomparison Project (ISMIP7). In addition, a training workshop will help new researchers getting started with PISM-Cloud7 and to contribute to the ISMIP7 community effort. PISM-Cloud will also make it easier for educators to include hands-on experience in ice sheet modeling and sea-level research in their curricula based on PISM-Cloud7 workshop materials and documentation.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.
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Collaborative Research: Resolving Earth Structure Influence on Ice-Sheet Stability in the Wilkes Subglacial Basin (RESISSt)
Collaborative Research: Feedbacks between Orographic Precipitation and Ice Dynamics
  • 批准号:
    1644277
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $52.17万
  • 财政年份:
    2017
  • 负责人:
    Andy Aschwanden
  • 依托单位:
Collaborative Research: Understanding the controls on spatial and temporal variability in ice discharge using a Greenland-wide ice sheet model
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