Hourly rainfall data from an Automatic Weather Station (AWS) were filled with normal climatology data provided by the National Institute of Meteorology (INMET) and TRMM satellite data via 3B43 product. These two sets filled the gaps and homogenized data from the 2000-2012 period at the Agricultural Ecology station; they were then compared with precipitation occurrence of synoptic systems (SACZ, MCZ and FS) and El Niño and La Niña episodes in the municipality of Seropédica. Evaluation was divided into the following precipitation ranges: average, seasonal percentage, and annual cumulative. Synoptic data from the 1996-2012 period were obtained from 'Climanálise'. The average characteristics identified showed high interannual and intraseasonal variability of synoptic systems, followed by interaction of mesoscale and local systems. December, January and March showed the highest rainfall levels (> 120 mm), while May, June, July and August presented the lowest rainfall levels (< 60 mm). Summer (42%) and winter (10%) seasons have well-defined characteristics and are distinct in their rainfall patterns.
homogeneity; El Niño Sothern Oscillation (ENSO); synoptic systems; data filling; Baixada Fluminense