COLLABORATIVE RESEARCH: From Data to Users: A Prototype Open Modeling Framework

协作研究：从数据到用户：原型开放建模框架

• 批准号: 1245076
• 负责人: Richard Hooper
• 金额: $ 1.53万
• 依托单位: Consortium of Universities for the Advancement of Hydrologic Sci
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-15 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245076&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Data; Users; Prototype

Because Earth is a complex coupled interacting system, where no one element is independent of any other, there are both pressing scientific and societal needs to improve our understanding how various physical, biological, and hydrological processes interact in surface Earth systems. This requires the development of new and increasingly more sophisticated ways of mathematically describing these systems and improvements in software and user interfaces that will dramatically enhance our ability to simulate these systems to improve the accuracy and reliability of model predictions of weather, floods, droughts, and climate variability. Such improved models will allow researchers to make better use of available data across disciplines and improve theory and algorithms that are essential to understanding Earth system behavior. Unfortunately, at present there is significant overhead of time and effort needed for discovering, accessing, understanding, and preparing data required to populate these models, as well as long learning lead times on how to use presently available models, owing to their complexity. This research overcomes some of these limitations by developing an innovative open modeling framework that can integrate data and models easily and is easy to use so that not only the research community and operational professionals can use it, but also policy makers and other interested parties. This EAGER award allows the construction of a prototype open meta-modeling framework that significantly reduces the time and effort on the part of users in the preparatory work for data and model comparisons, model testing and validations, for making fundamental knowledge discoveries in surface and ground water hydrological systems. In this framework, components/modules interact via user-configured open interfaces that allow the addition and integration of hydrological models and data sources using a common meta-level architecture and scientific workflows. The proposed prototype is based on a recently completed modeling framework, HS-NWSRFS (Hydro-information System for improving the National Weather Service River Forecast System). It represents a collaboration between investigators from three institutions, NASA, and NWS Ohio River Forecast Center (OHRFC). The funded effort will significantly expand the present code into an open community framework prototype. Broader impacts of the work include interagency collaboration, improved hydrological forecasting for rivers, and support of a PI whose gender is under-represented in the sciences.

由于地球是一个复杂的耦合相互作用系统，没有一个元素是独立于任何其他元素的，因此迫切的科学和社会需求是提高我们对地球表面系统中各种物理、生物和水文过程如何相互作用的理解。 这就需要开发新的和越来越复杂的方法来数学描述这些系统，并改进软件和用户界面，这将大大提高我们模拟这些系统的能力，以提高天气，洪水，干旱和气候变化模型预测的准确性和可靠性。这种改进的模型将使研究人员能够更好地利用跨学科的可用数据，并改进对理解地球系统行为至关重要的理论和算法。不幸的是，目前，发现、访问、理解和准备填充这些模型所需的数据需要大量的时间和精力，并且由于其复杂性，关于如何使用目前可用的模型的学习准备时间很长。 本研究通过开发一种创新的开放式建模框架来克服其中的一些限制，该框架可以轻松地集成数据和模型，并且易于使用，不仅研究界和业务专业人员可以使用它，而且政策制定者和其他相关方也可以使用它。EAGER奖项允许构建一个原型开放元建模框架，大大减少了用户在数据和模型比较、模型测试和验证的准备工作中的时间和精力，从而在地表水和地下水水文系统中发现基础知识。 在这个框架中，组件/模块通过用户配置的开放接口进行交互，允许使用通用的元级架构和科学工作流程添加和集成水文模型和数据源。建议的原型是基于最近完成的建模框架，HS-NWSRFS（水文信息系统，改善国家气象服务河流预报系统）。 它代表了来自三个机构，NASA和NWS俄亥俄州河流预报中心（OHRFC）的研究人员之间的合作。资助的工作将大大扩展目前的代码成为一个开放的社区框架原型。 这项工作的更广泛的影响包括机构间合作，改善河流的水文预报，以及支持科学界性别代表不足的PI。