Collaborative Research: Framework: Software: NSCI : Computational and data innovation implementing a national community hydrologic modeling framework for scientific discovery

该奖项支持设计和实施一个软件框架，以模拟水在不同尺度上的运动。了解当地和全国的水的流动和可获得性对我国的经济生产力和人类健康至关重要。水文科学家正在使用日益复杂的计算方法积极应对这些挑战。然而，由于进入的技术障碍，建模方面的进展并不容易转化为更广泛的科学家和专业人士社区。这个软件平台借鉴了计算机模型，并使用了能够分析大数据的超级计算机，以提供史无前例的美国大陆水运动模拟。该项目背后的团队结合了水文学家和计算机科学家，设想了一个广泛的用户社区，他们将有多种方式与软件框架互动。对于对生成自己的情景感兴趣的水文科学家来说，该框架将促进与水文模型的直接互动以及即时生成模拟的能力。相反，该框架还将为更广泛的用户提供一套静态输出和一系列工具，这些用户希望评估当地的水文预测或提取模型数据用于其他分析。几十年的模型开发，再加上求解器技术和软件工程的进步，使得美国能够大规模、高分辨率地模拟水文循环，但仍然存在巨大的技术和通信挑战。在该奖项的支持下，一个由计算机科学家和水文学家组成的跨学科团队正在开发一个框架，以利用计算机科学的进步来改变水文科学和其他领域的模拟和数据驱动的发现。该项目正在推进这些国家尺度水文模型背后的科学，加快它们的能力，并为用户交互建立新的界面。该框架将计算和领域科学(水文学)社区聚集在一起，以更快地从工具(模型、大数据、高性能计算)转向发现。它促进了十年的全国范围的模拟，对于水文界和更广泛的依赖水的系统(例如，生物系统、能源和粮食生产)工作的人来说，这是一种前所未有的资源。这些模拟将使社区能够解决从分水岭到全国范围内关于水的可获得性和动态的科学问题。此外，该框架旨在促进多种互动模式，并使水文界以外的广大用户参与进来。我们将提供易于访问的预处理数据集，这些数据集可以使用不需要计算机科学或水文学背景的内置工具进行可视化和绘图。认识到大多数水文学培训一般不包括高性能计算和数据分析或软件工程，这一框架将为通过计算增强的水文学发现提供一个途径。此外，对于教育工作者，我们将开发面向K-12课堂的不同水文系统的打包视频和教育模块。该奖项由NSF高级网络基础设施办公室颁发，由NSF地球科学局地球科学部的交叉活动计划联合支持。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 award supports the design and implementation of a software framework to simulate the movement of water at various scales. Understanding the movement and availability of water locally and across the country is of paramount importance to economic productivity and human health of our nation. Hydrologic scientists, are actively tackling these challenges using increasingly complex computational methods. However, modeling advances have not been easily translated to the broader community of scientists and professionals due to technical barriers to entry. This software platform draws from computer models and employs supercomputers capable of analyzing big data to provide unprecedented simulations of water movement over the continental US. Combining hydrologists and computer scientists the team behind the project envision a broad community of users who will have multiple ways to interact with the software framework. For the hydrologic scientist who is interested in generating their own scenarios the framework will facilitate direct interaction with the hydrologic models and the ability to generate simulations on the fly. Conversely, the framework will also provide a set of static output and a range of tools for a broader set of users who would like to evaluate hydrologic projections locally or extract model data for use in other analyses.Continental scale simulation of water flow through rivers, streams and groundwater is an identified grand challenge in hydrology. Decades of model development, combined with advances in solver technology and software engineering have enabled large-scale, high-resolution simulations of the hydrologic cycle over the US, yet substantial technical and communication challenges remain. With support from this award, an interdisciplinary team of computer scientists and hydrologists is developing a framework to leverage advances in computer science transforming simulation and data-driven discovery in the Hydrologic Sciences and beyond. This project is advancing the science behind these national scale hydrologic models, accelerating their capabilities and building novel interfaces for user interaction. The framework brings computational and domain science (hydrology) communities together to move more quickly from tools (models, big data, high-performance computing) to discoveries. It facilitates decadal, national scale simulations, which are an unprecedented resource for both the hydrologic community and the much broader community of people working in water dependent systems (e.g., biological system, energy and food production). These simulations will enable the community to address scientific questions about water availability and dynamics from the watershed to the national scale. Additionally, this framework is designed to facilitate multiple modes of interaction and engage a broad spectrum of users outside the hydrologic community. We will provide easy-to-access pre-processed datasets that can be visualized and plotted using built-in tools that will require no computer science or hydrology background. Recognizing that most hydrology training does not generally include High Performance Computing and data analytics or software engineering, this framework will provide a gateway for computationally enhanced hydrologic discovery. Additionally, for educators we will develop packaged videos and educational modules on different hydrologic systems geared towards K-12 classrooms.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Cross-Cutting Activities Program of the Division of Earth Sciences within 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.