From Lumped to Spatially Distributed Hydrologic Models: A Generalizable Data‑Driven Framework Across North America

Data-driven rainfall–runoff models have advanced rapidly, yet most still rely on lumped meteorological forcings that smooth out critical spatial variability in precipitation, land cover, and soil properties. This simplification can bias in flood peaks, hydrograph timing, and water balance estimates.... View More