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

CAREER: The Role of Groundwater Storage in Earth System Dynamics; Research to Improve Understanding of Current Hydrologic Regimes and Future Climate Response
职业:地下水储存在地球系统动力学中的作用;
批准号:
1945195
负责人:
Laura Condon
金额:
$49.53万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-05-15 至 2025-04-30

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中文摘要
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英文摘要
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.
期刊论文(2)
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会议论文
DOI: 10.1029/2021wr031548
发表时间: 2022-12
期刊: Water Resources Research
影响因子: 5.4
作者: [Luis De la Fuente;H. Gupta;L. Condon]
通讯作者: Luis De la Fuente;H. Gupta;L. Condon
Track D: Hidden Water and Extreme Events: HydroGEN, A Physically Rigorous Machine Learning Platform for Hydrologic Scenario Generation
  • 批准号:
    2134892
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $500.0万
  • 财政年份:
    2021
  • 负责人:
    Laura Condon
  • 依托单位:
NSF Convergence Accelerator - Track D: Hidden Water and Hydrologic Extremes: A Groundwater Data Platform for Machine Learning and Water Management
  • 批准号:
    2040542
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2020
  • 负责人:
    Laura Condon
  • 依托单位:
Collaborative Research: Sustainability in the Food-Energy-Water nexus; integrated hydrologic modeling of tradeoffs between food and hydropower in large scale Chinese and US basins
  • 批准号:
    1855912
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.69万
  • 财政年份:
    2018
  • 负责人:
    Laura Condon
  • 依托单位:
Collaborative Research: Framework: Software: NSCI : Computational and data innovation implementing a national community hydrologic modeling framework for scientific discovery
  • 批准号:
    1835794
  • 项目类别:
    Standard Grant
  • 资助金额:
    $69.96万
  • 财政年份:
    2018
  • 负责人:
    Laura Condon
  • 依托单位:
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