RII Track-4: Building the Next Generation Meteo-Hydrological Model for Hawaii

RII Track-4：构建夏威夷下一代气象水文模型

• 批准号: 1929155
• 负责人: Yinphan Tsang
• 金额: $ 19.79万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1929155&HistoricalAwards=false
• 关键词: RII; Track; Building; Next; Generation

Water resources are essential provisioning services in Hawaii. Because of its unique location and geology, water issues in Hawaii are tightly connected with climate and geology. In view of increasing climate variability and extreme weather events such as flooding and drought, a meteo-hydrological model is needed to advance our understanding of the water cycle and better predict and manage future availability of water resources. This fellowship will establish collaboration between the university and national research laboratory to address water issues that contribute to both economic (e.g., resources and food production) and security (e.g., flood and drought prediction and assessment) in the state. This proposal will support an early-career female minority faculty on tenure-track to establish a new research direction in meteo-hydrological modeling, and will support a female Ph.D. student for training integral to her dissertation project at the UHM. The established meteo-hydrological model will become a new skill set and tool for PI Tsang to collaborate with researchers within and outside of the university and tackle statewide food, water, and energy issues. Both university and the state of Hawaii will benefit from having a large scale meteo-hydrological model and the capacity to tackle the statewide economic, agricultural, environmental challenges.This NSF EPSCoR RII Track-4 fellowship will support training opportunities for PI Tsang in meteo-hydrological modeling skills and initiate a new and long-term collaboration between the University of Hawaii at Manoa (UHM) and the National Center for Atmospheric Research (NCAR), at Boulder, CO. This project will expand PI Tsang's current research by allowing her to incorporate advanced atmospheric model information to study complex hydrological systems in Hawaii. By working with the experienced Weather Research and Forecasting Model Hydrological modeling system (WRF-Hydro) development team at NCAR, PI Tsang will be able to establish a next-generation hydrological model for the state of Hawaii. During the fellowship, this collaboration aims to 1) incorporate finer resolution meteorological data to the model and 2) improve the representation of groundwater contribution to baseflow in the model. This model, WRF-Hydro-Hawaii, will have the capacity to couple weather information from climate models to provide higher spatial and temporal resolution in describing the hydrological responses, such as streamflow and flood forecasting, in Hawaii. The WRF-Hydro-Hawaii model will also be configured to run on the High Performance Computing (HPC) cluster at UHM. PI Tsang's research group will continue the model development, contribute improved modules to the WRF-Hydro modeling community, and apply WRF-Hydro-Hawaii beyond flood forecasting to include water availability for food production and issues on natural resources and environmental management. The newly developed modules of refined rainfall-pattern representation and groundwater-surface water interaction will contribute to the improvement of WRF-Hydro that applies to other tropical islands and continental systems.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.

水资源是夏威夷必不可少的供应服务。由于其独特的地理位置和地质，夏威夷的水问题与气候和地质密切相关。鉴于气候多变性和洪水和干旱等极端天气事件的增加，需要气象水文模型来增进我们对水循环的了解，更好地预测和管理未来水资源的可用性。该奖学金将建立大学和国家研究实验室之间的合作，以解决有助于经济（例如，资源和粮食生产）和安全（例如，（二）国家的干旱和洪涝灾害预测与评估。该提案将支持一个早期职业女性少数民族教师在终身教职轨道上建立一个新的研究方向气象水文建模，并将支持一个女博士。学生的培训不可或缺的她在UHM论文项目。建立的气象水文模型将成为PI Tsang与大学内外研究人员合作的新技能和工具，并解决全州的粮食，水和能源问题。大学和夏威夷州都将受益于拥有一个大规模的气象水文模型和解决全州经济、农业、环境挑战。这项NSF EPSCoR RII Track-4奖学金将支持PI Tsang在气象水文建模技能方面的培训机会，并启动夏威夷大学马诺阿分校（UHM）之间新的长期合作该项目将扩大曾培仪目前的研究，使她能够结合先进的大气模型信息来研究夏威夷复杂的水文系统。通过与NCAR经验丰富的天气研究和预测模型水文建模系统（WRF-Hydro）开发团队合作，PI Tsang将能够为夏威夷州建立下一代水文模型。在奖学金期间，这项合作旨在1）将更高分辨率的气象数据纳入模型，2）改善模型中地下水对基流的贡献。该模型WRF-Hydro-夏威夷将有能力结合气候模型的天气信息，以提供更高的空间和时间分辨率来描述夏威夷的水文响应，如径流和洪水预报。WRF-Hydro-夏威夷模型还将配置为在UHM的高性能计算（HPC）集群上运行。PI Tsang的研究小组将继续开发模型，为WRF-Hydro建模社区提供改进的模块，并将WRF-Hydro-夏威夷应用于洪水预报之外，以包括粮食生产的水供应以及自然资源和环境管理问题。最新开发的精细的水模式表示和地下水-地表水相互作用模块将有助于改进适用于其他热带岛屿和大陆系统的WRF-Hydro。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

Shifting magnitude and timing of streamflow extremes and the relationship with rainfall across the Hawaiian Islands

夏威夷群岛极端水流的变化幅度和时间以及与降雨的关系

• DOI: 10.1016/j.jhydrol.2021.126424
• 发表时间: 2021
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Huang, Yu-Fen;Tsang, Yinphan;Strauch, Ayron M.;Clilverd, Hannah M.
• 通讯作者: Clilverd, Hannah M.

Hourly rainfall data from rain gauge networks and weather radar up to 2020 across the Hawaiian Islands

• DOI: 10.1038/s41597-022-01430-2
• 发表时间: 2022-06-14
• 期刊: SCIENTIFIC DATA
• 影响因子: 9.8
• 作者: Huang, Yu-Fen;Gayte, Maxime;Tsang, Yinphan;Longman, Ryan J.;Nugent, Alison D.;Kodama, Kevin;Lucas, Mathew P.;Giambelluca, Thomas W.
• 通讯作者: Giambelluca, Thomas W.