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High-Resolution Global Streamflow Dataset from 1980 - 2020 for 2.94 Million Rivers Using the Physics-Embedded δHBV2–δMC2 Model

This dataset provides global-scale streamflow simulations generated with the global-scale differentibale, high-resolution δHBV2–δMC2 model, developed by the  Multi-scale Hydrology, Processes, and Intelligence (MHPI) team at The Pennsylvania State University, led by Dr. Chaopeng Shen’s Hydrologic Deep Learning and Modeling group. This data is provided as is, and we do not assume any responsibility as a result of the use of this data. This dataset is a direct outcome

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Listed in zenodo public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)