The National Science Foundation awarded The Pennsylvania State University $315,000 under the Geosciences program (CFDA 47.050) to develop next-generation, differentiable global hydrologic models. The four-year project grant, awarded September 1, 2022 and concluding August 31, 2026, aims to improve understanding of global low flow dynamics under climate change. Specifically, Penn State will build upon machine learning techniques to create process-based hydrologic models that are learnable and respect physical laws. The models will evolve based on global hydrologic data to better estimate future low flows, reduce structural deficiencies, and address issues like scale. Outcomes will be shared with climate impact assessment and nonprofit communities in Africa focused on water resources. The funding also supports engaging graduate students and others in related educational activities.
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