Scientists at the National Center for Atmospheric Research (NCAR) have developed a new method using unsupervised machine learning to improve predictions of monsoon rainfall in the American Southwest. This advancement helps states like Arizona and New Mexico, which rely heavily on reservoir water for agriculture, make informed decisions about snowpack runoff storage and release during the summer. By enhancing rainfall forecasts amid a severe megadrought, this data-driven approach supports smarter water management strategies critical to addressing the ongoing water crisis in the region, according to HPE.

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