EarthCube Building Blocks: Collaborative Proposal: The Power of Many: Ensemble Toolkit for Earth Sciences

EarthCube 构建模块：协作提案：多人的力量：地球科学集成工具包

• 批准号: 1639707
• 负责人: Guido Cervone
• 金额: $ 39.1万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1639707&HistoricalAwards=false
• 关键词: EarthCube; Building; Blocks; Collaborative; Proposal

The study of hazards and renewable energy are paramount for the development and sustainability of society. Similarly, the emergence of new climatic patterns pose new challenges for future societal planning. Geospatial data are being generated at unprecedented rate exceeding our analysis capabilities and leading towards a data-rich but knowledge-poor environment. The use of advanced computing tools and techniques are playing an increasingly important role in contributing to solutions to problems of societal importance. This project will create specialized computational tools that will enhance the ability of scientists to effectively and efficiently study natural hazards and renewable energy. The use of these tools will support novel methods and the use of powerful computing resources in ways that are not currently possible.Many scientific applications in the geosciences are increasingly reliant on "ensemble-based" methods to make scientific progress. This is true for applications that are both net producers of data, as well as aggregate consumers of data. In response to the growing importance and pervasiveness of ensemble-based applications and analysis, and to address the challenges of scale, simplicity and flexibility, the research team will develop the Ensemble Toolkit for Earth Sciences. The Ensemble Toolkit will provide an important addition to the set of capabilities and tools that will enable the geosciences community to use high-performance computing resources more efficiently, effectively and in an extensible fashion. This project represents the co-design of Ensemble Toolkit for Earth Sciences and is a collective effort of an interdisciplinary team of cyberinfrastructure and domain scientists. It will also support the integration of the Ensemble Toolkit with a range of science applications, as well as its use in solving scientific problems of significant societal impact that are currently unable to utilize the collective capacity of supercomputers, campus clusters and clouds

对危害和可再生能源的研究对社会的发展和可持续性至关重要。同样，新的气候模式的出现对未来的社会规划提出了新的挑战。地理空间数据正在以前所未有的速度产生，超出了我们的分析能力，并导致了一个数据丰富但知识匮乏的环境。先进计算工具和技术的使用在促进解决具有社会重要性的问题方面发挥着越来越重要的作用。该项目将创建专门的计算工具，以提高科学家有效和高效地研究自然灾害和可再生能源的能力。这些工具的使用将以目前无法实现的方式支持新的方法和强大的计算资源的使用。地球科学中的许多科学应用越来越依赖于“基于集合的”方法来取得科学进展。对于既是数据的净生产者又是数据的聚合消费者的应用程序来说，情况就是如此。为了应对基于集合的应用和分析日益增长的重要性和普及性，以及应对规模、简单性和灵活性方面的挑战，研究小组将开发地球科学集合工具包。全套工具包将为一套能力和工具提供重要补充，使地球科学界能够更有效、更有效和以可扩展的方式使用高性能计算资源。该项目代表了地球科学集成工具包的共同设计，是由网络基础设施和领域科学家组成的跨学科团队的集体努力。它还将支持将全套工具包与一系列科学应用程序相结合，并将其用于解决具有重大社会影响的科学问题，这些问题目前无法利用超级计算机、校园集群和云的集体能力

项目成果

Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble

• DOI: 10.1016/j.renene.2017.02.052
• 发表时间: 2017-08-01
• 期刊: RENEWABLE ENERGY
• 影响因子: 8.7
• 作者: Cervone, Guido;Clemente-Harding, Laura;Delle Monache, Luca
• 通讯作者: Delle Monache, Luca