- (2019-2020) - Engaging Communities to Advance Hydrologic Science (ECAHS)
Objectives: (a) to develop a participatory modeling framework that leverages established, high-level Bayesian techniques to explore the utility of data-based informative prior distributions in constraining hydrologic model performance and process fidelity; (b) to investigate the efficacy of community engagement and citizen science in hydrologic modeling through the use of hierarchical approaches within the Bayesian framework by assimilating multiple data sources (including qualitative, ‘soft’ information) into model forecasting; and c) to advance the understanding of hydrology as a topic of global importance through collaborative engagement across multiple project stakeholder groups (citizens, teachers, students) to transform the way hydrologic modeling is conducted..
Project Members
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Coordination: Tyler Smith, Benjamin Galluzzo.
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Investigators: Asher Pacht, Seema Rivera, Cássio Guilherme Rampinelli
Funding: Ignite Graduate Research Fellowship
Products: (1) training of graduate students in both hydrologic modeling and scientific communication; (2) training of citizen scientists to collect ‘soft’ hydrologic data (by graduate students from Task 1); and (3) collection of data and participatory modeling (by citizens and graduate students from Tasks 1-2).