Use of two operational ML models for forecasting 24-hours-average PM2.5 concentration in the Aburrá Valley, Colombia, using global forecasts and satellite information.

Jhayron Steven Pérez Carrasquilla1,2, Paola A Montoya2,3, Juan Manuel Sánchez2,3 and Mauricio Ramírez2, (1)University of Maryland College Park, College Park, United States, (2)Área Metropolitana del Valle de Aburrá, Proyecto Sistema de Alerta Temprana de Medellín y el Valle de Aburrá (SIATA), Medellín, Colombia, (3)Universidad de Antioquia, Medellin, Colombia