Author

S. Sorooshian

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Open access Sep 2026

From Lumped to Spatially Distributed Hydrologic Modeling: A Data‐Driven Framework Evaluated Across North American Catchments

Integrated Gradients (IG) analysis shows that the model learns physically coherent spatial behavior, highlighting grid cells near the outlet and identifying dominant meteorological drivers of peak runoff events, and outline a pathway toward interpretable, large‐scale streamflow prediction.

Jin-Yang Li, Kuo-Lin Hsu, S. Sorooshian et al. · Water Resources Research · 1 citation

#artificial intelligence Preprint Sep 2026

West-WRF AI 2-km: High-Resolution Prediction of Integrated Vapor Transport and Precipitation

A stretched-grid artificial intelligence weather forecasting model with 2-km resolution over the western United States and part of the Northeast Pacific and approximately 31-km resolution elsewhere globally provides its greatest value for localized precipitation extremes and intense AR-related moisture transport.

Nazak Rouzegari, V. A. Gorooh, A. Sengupta et al. · 0 citations

Open access Sep 2026

Remote Sensing Hydrology Revisited: Advances, Persistent Challenges, and a Science‐Driven Agenda for the Next Decade

In the WRR 50th Anniversary Special Collection, Lettenmaier et al. (2015, https://doi.org/10.1002/2015WR017616) provided a timely account of how satellite remote sensing evolved from a niche capability in hydrology into a mainstream driver of hydrologic discovery, as the community shifted from imagery toward validated...

Yang Hong, D. Lettenmaier, E. Foufoula-Georgiou et al. · Water Resources Research · 0 citations