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

在夏威夷，水资源是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。鉴于日益增加的气候变率和极端天气事件，如洪水和干旱，需要一个气象水文模型来提高我们对水循环的理解，并更好地预测和管理未来的水资源可用性。该奖学金将建立大学和国家研究实验室之间的合作，以解决对该州经济（例如，资源和粮食生产）和安全（例如，洪水和干旱预测和评估）都有贡献的水问题。该提案将支持一名早期职业的少数族裔女性终身教职人员在气象水文建模方面建立一个新的研究方向，并将支持一名女博士生在UHM进行论文项目的培训。已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解决全州食物、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一个大规模的气象水文模型，以及解决全州经济、农业和环境挑战的能力。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）和美国国家大气研究中心（NCAR）之间的新的长期合作。该项目将扩展PI Tsang目前的研究，允许她将先进的大气模型信息纳入夏威夷复杂的水文系统研究。通过与NCAR经验丰富的天气研究与预报模型水文建模系统（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。在研究期间，这项合作的目标是1)将更精细的气象数据纳入模型，2)改善模型中地下水对基流贡献的表示。这个名为WRF-Hydro-Hawaii的模型将有能力将来自气候模型的天气信息结合起来，在描述夏威夷的水文响应时提供更高的空间和时间分辨率，例如水流和洪水预报。WRF-Hydro-Hawaii模型也将被配置为在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- hawaii应用于洪水预报之外，包括粮食生产的水资源供应以及自然资源和环境管理问题。新开发的精确降雨模式表示和地下水-地表水相互作用模块将有助于改善适用于其他热带岛屿和大陆系统的水资源基金-水电。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。

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.