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

提案编号：EPS-1135482牵头机构：杨百翰大学项目主任：诺曼·琼斯链接：EPS-1135483(怀俄明大学)提案标题：合作研究：CI-WOWER，网络基础设施推进高性能水资源模型该项目寻求建立一个由犹他州和怀俄明州研究人员组成的联盟，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、数据驱动的模拟实现对集成系统行为的全面检查。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，以及扩大与利益攸关方的接触，并将科学传授给政策和管理决策。该项目名为CI-WOWER，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，可以革命性地使用计算机模型来支持西部山区和山区以外的水资源研究。智力优势：拟议的CI实现的集成数据密集型建模将导致更好地了解耦合的自然和人类水资源系统及其对跨时空尺度变化的反应和敏感性。在数据和建模系统方面的进展将改变创建水文知识的方式，并提供超出水资源领域的更广泛的信息学适用性。广泛的影响：该项目将提供CI，改善对数据和复杂模型的获取，使科学家能够用易于访问的数据填充模型，利用HPC资源在大片空间区域进行具有时空分辨率的多年代际模拟，并改变将水文知识用于水资源规划和管理的方式。CI增强将被整合到一个强有力的教育计划中，重点是提高整个区域的网络素养

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