Hybrid floating photovoltaic-hydropower (HFPVHP) systems, where floating photovoltaics are co-located on a reservoir with hydropower generation, have the potential to increase hydropower capacity and smooth the generation profile of both hydropower and solar power to better meet power loads. However, the resilience of HFPVHP systems to climate change is unexplored. We propose to close this gap by developing an innovative robust simulation-optimization tool for designing and operating HFPVHP systems according to desired reliability, considering an uncertain climate future. The optimization scheme consists of nested optimization algorithms wrapped around a series of simulation models for computing runoff, water storage, hydropower generation, and solar power generation. The simulation models will be forced by an ensemble of downscaled climate projections. We will apply the tool to reservoirs in the binational Rio Grande-Rio Bravo basin with the intention to eventually scale the scheme to apply to complex networks of reservoir systems. The seed grant will provide opportunities for groups that are typically underrepresented in STEM, by recruiting and support PhD students from a university with more than 80% Hispanic student population. We will leverage DOE products and programs, such as Water Power Technologies Office \"Hydrowires\" program for hydropower operators and \"9505\" climate assessments for hydropower through our collaboration with the Pacific Northwest National Laboratory. We will develop and implement a culturally appropriate curriculum on renewable energy in middle school science classrooms in census tracts with disadvantaged communities as defined in the Justice40 initiative's Climate and Economic Justice Screening Tool.