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.