Framework: Software: Collaborative Research: CyberWater-An open and sustainable framework for diverse data and model integration with provenance and access to HPC

该项目解决了水研究社区的一个高度优先的需求：各种数据源和模型之间的互操作性，以及将不同的计算模型整合到水研究社区。该项目将开发一个开放和可持续的软件框架，使之能够整合水文数据和模型，以进行跨学科的协作和发现。这些模型和数据集涵盖了水文学、生物学、环境工程和气候等领域。该项目还解决了极限规模计算的一个关键问题：可伸缩的文件系统。该合作利用了匹兹堡大学、爱荷华大学、鲍尔州立大学、北卡罗来纳州立大学、印第安纳大学和大学水文科学促进联盟(CUAHSI)等六个机构的计算、建模和水文学专业知识。该项目开发了CyberWater，这是一个社区驱动的软件框架，集成了各种不同时间和空间尺度的模型和数据集。CyberWater框架允许科学家绕过与模型和数据集复杂性相关的挑战。该项目设计了一个模型代理工具，使用户能够在不编写代码的情况下为常见的模型类型生成模型代理，并集成了多种现有的软件代码/元素，从而提供了广泛的使用。为了开发这样一个多样化的建模框架，该项目汇集了水文学家、气候专家、气象学家、计算机科学家和网络基础设施专家。该项目建立在首席调查员开发的现有原型的基础上；开发了系统的基本要素，包括具有相应代理的插入式模型和数据源，以及允许用户进行工作流程控制的工作流引擎。利用NASA、USGS和CUAHSI插入的数据集，在两个模型上成功演示了原型。对于当前的项目，新的模型和数据集被添加到框架中；还纳入了使用高性能计算资源的能力。该小组将使用CUAHSI Water Share系统分发CyberWater软件及其相关的模型代理，包括如何建立当地的CyberWater环境、模型和模型代理的说明。该项目将在与水相关的问题上取得实质性的科学进展，该解决方案可以应用于其他研究学科。这项由高级网络基础设施办公室颁发的奖项由NSF地球科学局联合支持。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。

This project addresses a high priority need for water research communities: interoperability among a wide variety of data sources and models, and integration of different computational models into water research communities. The project will develop an open and sustainable software framework enabling integration of hydrologic data and models for interdisciplinary teamwork and discovery. The models and datasets cover fields such as hydrology, biology, environmental engineering and climate. The project also addresses one of the key issues for extreme-scale computing: scalable file systems. The collaboration draws upon computing, modeling, and hydrology expertise at six institutions: University of Pittsburgh, University of Iowa, Ball State University, North Carolina State University, Indiana University, and the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI). The project develops CyberWater, a community-driven software framework that integrates a wide range of models and datasets across disparate temporal and spatial scales. The CyberWater framework allows scientists to bypass challenges associated with model and dataset complexity. The project designs a model agent tool enabling users to generate model agents for common model types without coding, and integrates multiple existing software codes/elements that provide for broad-scale use. To develop such a diverse modeling framework, the project brings together hydrologists, climate experts, meteorologists, computer scientists and cyberinfrastructure experts. The project builds upon an existing prototype developed by the lead investigator; basic elements for the system were developed, consisting of plugged-in models and data sources with corresponding agents and a workflow engine allowing user workflow control. The prototype was successfully demonstrated for two models, making use of datasets plugged in from NASA, USGS and CUAHSI. For the current project, new models and datasets are added to the framework; the ability to use high performance computing resources is also incorporated. The team will use the CUAHSI HydroShare System to distribute CyberWater software and its associate model agents, including instructions on how to establish a local CyberWater environment, models and model agents. The project will enable substantial scientific advances for water related issues, and the solution can be applied to other research disciplines. This award by the Office of Advanced Cyberinfrastructure is jointly supported by 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.