SPATIO-TEMPORAL VARIATION (1981-2020) OF RAIN IN THE COASTAL REGION OF THE STATE OF PARÁ – EASTERN AMAZON

Abstract

The coastal region of Pará is characterized by the highest rainfall in the state. Currently, representations of rainfall variability are predominantly based on data from surface weather stations, providing limited confidence for studies on local rainfall variability. In this context, we propose to analyze rainfall variability for the coastal region of Pará using remote sensing data. The study presents the application of the remote sensing product technique made available by the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) based on estimates and high spatial and temporal resolution data. The spatio-temporal variability of rainfall was represented by annual, seasonal, and monthly climatology and related to the ocean-atmosphere systems and mechanisms that favor local precipitation. Annual variability showed that rainfall is distributed differently in years when the ENOS mechanism occurs. On a seasonal scale, the data elucidated the regional seasonality with higher rainfall accumulations during the summer and fall. On a monthly scale, rainfall was mostly distributed in the northern part of the area during the first few months of the year. This knowledge becomes an alternative and effective tool for coastal management, corroborating modeling studies and allowing it to be replicated in other areas.