Spatial aggregation effects on the performance of machine learning metamodels for predicting transit time to baseflow
Mario A Soriano Jr,
Reed Maxwell
Abstract:Water transit time is the duration between the entry and exit of a parcel of water across a hydrologic system. It is a fundamental characteristic that links hydrologic transport, biogeochemical processing, and water quality, and it has broad implications for resource vulnerability and sustainability. Physically based models can accurately describe transit time distributions but require significant computational resources when applied to large regions at high resolutions. In this study, we evaluate the potentia… Show more
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