Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Most people can imagine why a shrinking Great Salt Lake would mean unhealthy dust storms for the Wasatch Front, or why refilling the lake through water conservation could reduce dust exposure. Now, ...