Collaborative Research: Frameworks: Quakeworx - An extensible software framework for earthquake simulations
Collaborative Research: Frameworks: Quakeworx - An extensible software framework for earthquake simulations
批准号:
2311208
负责人:
Amit Chourasia
金额:
$148.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2028-08-31
中文摘要
基于物理学的未来地震风险预测对于制定土地利用、建筑法规、交通和通信基础设施、电力和供水系统以及许多其他社会不可或缺的方面的计划非常重要。Quakeworx框架是一个新的多学科合作,使广大用户能够访问最先进的基于物理学的破裂预测模型,进一步改进现有工具,并验证模型结果。Quakeworx还有助于推进破裂预测的科学,获得关于地震物理的新见解,改进地震危险估计,并为STEM教育和参与创造新的机会。Quakeworx使学生、博士后和职业生涯早期的科学家能够通过最先进的模拟和分析工具快速沉浸在地震物理、计算建模、软件工程和相关领域的现代化教育和培训中。该项目有助于国家利益,支持一个更具弹性的社会,提高预报地震和评估地震危险的能力,这是减轻地震风险、促进STEM劳动力发展和促进向广大社会转化结果的基础。Quakeworx的一个核心要素是一个新的科学门户,它提供访问最先进的方法的途径,这些方法将基于物理的新建模框架与用于模拟的标准化管道相结合,基于数据的同化以按需通知和验证模型,以及在大数据集上进行机器学习模式识别。该项目能够模拟地震和断层的耦合演化,产生不同的输出(地震活动、地面运动、断层网络配置、应变率、地形),并促进改进的破裂预测的开发、验证、应用和重复性,用于研究和教育。Quakeworx策划并播种了许多领先的工具和数据产品,这些工具和数据产品利用描述断层和岩石属性的现有社区数据模型作为模拟输入。此外,该门户使研究和教育界能够为模拟、数据分析和可视化、数据产品和知识库贡献、管理和共享工具。该项目提供了一个基础,消除了由于缺乏专业知识和无法访问计算资源而造成的障碍,它为大型用户社区提供了面向服务和易于使用的创新网络基础设施。该奖项由NSF高级网络基础设施办公室颁发,由研究、创新、协同和教育部门(RISE)、地球科学部门(EAR)和NSF地球科学局内的地球物理项目联合支持。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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
Physics-based forecasts of seismic hazard from future earthquakes are important for developing plans for land use, building codes, transportation and communication infrastructure, power and water systems, and many other aspects that are integral to society. The Quakeworx framework is a new multi-disciplinary collaboration to enable a wide community of users to access state-of-the-art physics-based models of rupture forecasts, further improve existing tools, and validate model results. Quakeworx also helps advance the science of rupture forecasts, obtain new insights on earthquake physics, improve seismic hazard estimates, and create new opportunities for STEM education and engagement. Quakeworx enables rapid immersion of students, post-docs, and early career scientists with state-of-the-art simulation and analysis tools that aid in modernizing education and training in earthquake physics, computational modeling, software engineering, and related fields. The project contributes to the national interest by supporting a more resilient society with improved capabilities for forecasting earthquakes and assessing seismic hazard, which are foundational for mitigation of seismic risk, contributing to STEM workforce development, and facilitating translation of results to the society at large.A core element of Quakeworx is a new science gateway, which provides access to state-of-the-art methods that combine novel physics-based modeling frameworks with standardized pipelines for simulations, data-based assimilation to inform and validate models on-demand, and machine-learning pattern recognition on big datasets. The project enables simulations of coupled evolution of earthquakes and faults producing diverse outputs (seismicity, ground motion, fault network configuration, strain rates, topography), and facilitates the development, validation, application, and reproducibility of improved rupture forecasts for research and education. Quakeworx curates and seeds many leading tools and data products that leverage existing community data models describing fault and rock properties as simulation input. Additionally, the gateway enables the research and education community to contribute, curate and share tools for simulations, data analysis and visualization, data products and knowledge base. The project provides a foundation that eliminates barriers due to lack of expertise and lack of access to compute resources, and it delivers an innovative service-oriented and easy-to-use cyberinfrastructure to a large user community.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research, Innovation, Synergies, and Education (RISE), the Division of Earth Sciences (EAR), and the Geophysics Program within the NSF Directorate for Geosciences.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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CIF21 DIBBs: Ubiquitous Access to Transient Data and Preliminary Results via the SeedMe Platform
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批准号:1443083
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项目类别:Standard Grant
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资助金额:$132.94万
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财政年份:2014
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负责人:Amit Chourasia
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依托单位:
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财政年份:2012
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负责人:Amit Chourasia
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依托单位:
国内基金
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