RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements - Baez-Villanueva, Oscar M.; Zambrano-Bigiarini, Mauricio; Beck, Hylke E.; McNamara, Ian; Ribbe, Lars; Nauditt, Alexandra; Birkel, Christian; Verbist, Koen; Giraldo-Osorio, Juan Diego; Xuan Thinh, Nguyen (Remote sensing of environment, 2020)
Keywords: Bias; Bias correction; Chile; Computation; data collection; Datasets; False alarms; Gauges; Merging; Precipitation; Precipitation estimation; Precipitation intensity; Precipitation patterns; Precipitation products; Rain; Rain gauges; Rainfall intensity; Random Forest; remote sensing; Representations; RF-MEP; Spatial distribution; Temporal distribution; Training; Tropical Rainfall Measuring Mission (TRMM); uncertainty; Chile; Bias correction; Precipitation; Precipitation products; RF-MEP; Merging; Random Forest