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。由于其独特的位置和地质，夏威夷的水问题与气候和地质学紧密相关。鉴于气候变异性的增加和极端天气事件（例如洪水和干旱），需要一种流星 - 流星学模型来促进我们对水周期的理解，并更好地预测和管理水资源的未来可用性。该奖学金将建立大学与国家研究实验室之间的合作，以解决该州经济（例如资源和食品生产）以及安全（例如洪水和干旱预测和评估）的水问题。该提案将支持终身训练的早期女性少数族裔教师，以在Meteo-Hydrologicy建模中建立新的研究方向，并将支持女性博士学位。她在UHM的论文项目不可或缺的培训学生。既定的Meteo-Hydrologicy模型将成为Pi Tsang与大学内外的研究人员合作并解决全州食品，水和能源问题的新技能和工具。大学和夏威夷州都将受益于具有大规模的流星流星学模型以及应对全州经济，农业，环境挑战的能力。 （NCAR），位于博尔德公司。该项目将通过允许她将高级大气模型信息纳入夏威夷的复杂水文系统来扩大Pi Tsang的当前研究。通过与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，这项合作的目的是1）将更精细的分辨率气象数据纳入模型，以及2）提高地下水对模型基础流的贡献的表示。该模型WRF-HYDRO-HAWAII将有能力从气候模型中依靠天气信息，以在夏威夷在描述水文响应（例如流汇和洪水预测）时提供更高的空间和时间分辨率。 WRF-HYDRO-HAWAII模型还将配置为在UHM的高性能计算（HPC）群集上运行。 Pi Tsang的研究小组将继续进行模型开发，为WRF-HYDRO建模社区提供改进的模块，并将WRF-HYDRO-HAWAII应用于洪水预测之外，以在自然资源和环境管理方面的粮食生产和问题中提供水上可用性。新开发的降雨模式代表和地下水面水相互作用的模块将有助于改善WRF-Hydro，适用于其他热带岛屿和大陆系统。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子优点和广泛的影响来评估NSF的法定任务。

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.