Collaborative Research: CI-WATER, Cyberinfrastructure to Advance High Performance Water Resource Modeling

提案编号： EPS-1135482牵头机构： 杨百翰大学项目总监： 诺曼·琼斯（Norman Jones）：EPS-1135483（怀俄明州大学）提案标题：合作研究：CI-WATER，推进高性能水资源建模的网络基础设施该项目旨在建立犹他州和怀俄明州研究人员联盟，他们将获得和开发硬件和软件网络基础设施（CI），以支持大规模，高分辨率计算水资源模型的开发和使用。这些模型将通过基于物理的、数据驱动的模拟对集成系统行为进行全面检查。成功的整合需要数据、软件、硬件、模拟模型和工具，以可视化和传播结果，以及外联活动，以吸引利益攸关方参与，并将科学融入政策和管理决策。该项目名为CI-WATER，将提供一个强大的分布式CI，包括集成的数据服务、建模和可视化工具，以及一个全面的教育和推广计划，可以彻底改变如何使用计算机模型来支持山间西部及其他地区的水资源研究。综合数据-通过所提出的综合信息，可以进行深入的建模，从而更好地了解耦合的自然和人类水资源系统及其对变化的响应和敏感性。时空尺度提高HPC可用性和非HPC专家访问能力的数据和建模系统的进步将改变水文知识的创建方式，并提供水资源领域以外更广泛的信息学适用性。该项目将提供CI，改善对数据和复杂模型的访问，使科学家能够用易于访问的数据填充模型，利用HPC资源在具有时空分辨率的大空间区域内执行数十年模拟，并转变水文知识在水资源规划和管理中的使用方式。CI增强将被整合到一个强大的教育计划中，该计划专注于提高整个地区的网络素养

Proposal Number: EPS-1135482Lead Institution: Brigham Young University Project Director: Norman JonesLinked to: EPS-1135483 (University of Wyoming)Proposal Title: Collaborative Research: CI-WATER, Cyberinfrastructure to Advance High Performance Water Resource ModelingThe project seeks to establish a consortium of Utah and Wyoming researchers who will acquire and develop hardware and software cyberinfrastructure (CI) to support the development and use of large-scale, high-resolution computational water resources models. These models will enable comprehensive examination of integrated system behavior through physically-based, data-driven simulations. Successful integration requires data, software, hardware, simulation models, and tools to visualize and disseminate results, as well as outreach to engage stakeholders and impart science into policy and management decisions. The project, called CI-WATER, will provide a robust and distributed CI consisting of integrated data services, modeling and visualization tools, and a comprehensive education and outreach program that can revolutionize how computer models are used to support water resources research in the Intermountain West and beyond.Intellectual Merit: The integrated data-intensive modeling enabled by the proposed CI will lead to better understanding of coupled natural and human water resources systems and their response and sensitivity to changes across space-time scales. Advances in data and modeling systems that enhance HPC usability and access by non-HPC specialists will transform the way hydrologic knowledge is created and provide broader informatics applicability beyond the field of water resources.Broader Impacts: The project will provide CI that improves access to data and sophisticated models, enable scientists to populate models with readily accessible data, harness HPC resources to perform multi-decadal simulations over large spatial areas with space-time resolution, and transform the way hydrologic knowledge is used in water resource planning and management. The CI enhancements will be integrated into a robust education program focused on improving cyber-literacy throughout the region