CAREER: The Role of Groundwater Storage in Earth System Dynamics; Research to Improve Understanding of Current Hydrologic Regimes and Future Climate Response

地下水是美国和世界各地的重要水资源。它与地表水的自然相互作用有助于稳定我们的河流和生态系统。 尽管地下水在水平衡中发挥着核心作用，但很难看到，导致其可用性存在很大的不确定性。因此，它只是在全球模型的特点，并经常被误解以外的水文界。虽然在全球模型中更好地核算地下水储存的必要性已得到广泛承认，但我们对地下水储存如何在大空间尺度和长时间内发挥作用的理解仍存在重大差距。 这种不确定性必须得到解决，以严格评估新的建模方法，并改善我们使用全球模型进行的水文预测。该项目探讨地下水储存在大规模模型中的作用，并开发工具来验证大型耦合系统中的地下水行为。 该项目将进一步制定方法，改善向公众有效宣传地下水的情况。 我们将使用我们的建模平台作为资源，让K-12学生在计算机科学与当地相关的水问题。 拟议的研究将量化大规模储存动态在水和碳循环中的作用，这是我们目前地球系统预测的一个弱点。更具体地说，该项目旨在了解如何存储动态控制水文制度，以及存储的变化可能在未来的水文制度转变中发挥什么作用。 研究将利用美国大陆第一个完全集成的地下水地表水模型，以不同的空间分辨率与其他大规模建模方法和简化的地下水表示进行直接比较。这将提供独特的见解的过程表示和空间分辨率对全球水和碳预测的影响，不可能与以前的方法。 这项研究的主要成果将（1）描述最敏感的水文地质环境，以简化地下水近似值和空间分辨率，（2）绘制美国各地的时空“地下水状况”并分析空间控制，（3）分析现有的全球模型存储基准，（4）量化地下水配置与气候变化响应之间的关系，（5）确定最易受地下水储量变化影响的区域。在取得这些技术成果的同时，该项目将提高公众对地下水可持续性的理解和参与。 广播气象学家已经定期与公众交流水文信息。 该项目将向这一群体提供关于地下水系统的培训和广播资源，与直接向公众宣传相比，其受众范围更广、更多样化。 UA的本科生将通过现有的科学传播课程帮助开发广播材料，从而也为水文学以外的学生提供水文学知识。最后，这里使用的模拟平台将被利用作为一种工具，让高中生在学习计算机科学和编码技能的同时参与当地的流域问题。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

Groundwater is a critical water resource across the US and world-wide. Its natural interactions with surface water help stabilize our rivers and ecosystems. Despite its central role in the water balance, groundwater is hard to see, leading to much uncertainty on its availability. As a result, it is simply characterized in global models, and often misunderstood outside the hydrologic community. Though the need for better accounting of groundwater storage in global models has been widely acknowledged, there are still critical gaps in our understanding of how groundwater storage functions across large spatial scales and over long time periods. This uncertainty must be addressed to rigorously evaluate new modeling approaches and improve the hydrologic projections we make with global models. This project explores the role of groundwater storage in large scale models and develops tools to validate groundwater behavior in large coupled systems. The project will further develop ways to improve effective communication about groundwater to the public. We will use our modeling platforms as a resource to engage K-12 students in computer science with locally relevant water issues. The proposed research will quantify the role of large-scale storage dynamics in water and carbon cycles, which is an identified weakness of our current earth systems projections. More specifically, this project seeks to understand how storage dynamics control hydrologic regimes, and what role storage changes could play in future hydrologic regime shifts. Research will leverage the first fully integrated groundwater surface water model of the Continental US to develop direct comparisons with other large-scale modeling approaches and simplified groundwater representations over large spatial extents at varying spatial resolutions. This will provide unique insights on the impact of process representation and spatial resolution on global water and carbon projections not possible with previous approaches. The key outcomes of this research will (1) characterize the most sensitive hydrogeologic settings for simplification of groundwater approximations and spatial resolution, (2) map spatiotemporal ‘groundwater regimes’ across the US and analyze spatial controls, (3) analyze existing global model storage benchmarks, (4) quantify relationship between groundwater configuration and response to climate change, and (5) identify regions that are the most vulnerable to groundwater storage changes. In parallel with these technical outcomes this project will improve public understanding and engagement around groundwater sustainability. Broadcast meteorologists already regularly communicate hydrologic information with the general public. This project will provide training and broadcast resources on groundwater systems to this group, reaching a much larger and more diverse audience than would be possible through direct public outreach. Undergraduates at the UA will help develop broadcast materials through existing science communication courses, thus also providing exposure to hydrology for students outside of hydrology. Finally, the simulation platforms used here will be leveraged as a tool to engage high school students in local watershed issues while learning computer science and coding skills.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.