Machine learning improves Hawai'i rainfall mapping

Rainfall map accuracy is vital in climate and hydraulic modeling and supports environmental management decision making, water resource planning and weather forecasting. University of Hawaiʻi and East-West Center researchers have developed more accurate monthly rainfall maps by using machine learning. They used a machine learning technique to detect erroneous rainfall maps. The results of this study were recently published in the Journal of Hydrometeorology.