AVALIAÇÃO DE SECAS METEOROLÓGICAS POR DETECÇÃO REMOTA NO ARQUIPÉLAGO DO MARAJÓ: UMA INTERPRETAÇÃO ESPACIAL DOS DADOS DA CPC MORPHING TECNIQUE

Abstract

The Amazon region is highly susceptible to severe droughts that cause profound impacts on the dynamics of the hydrological, biodiversity and socioeconomic regimes. In this study, we analize CPC MORPHing tecnique was utilized to diagnose drought events in the Marajó Archipelago, based on indicators of climatic extremes and the Standardized Precipitation Index. Data from the Reanalysis was used to identify the atmospheric patterns between the years 2004 to 2016. The analysis of the calculated spatial series suggests that drought events are Bol.Goia. Geogr. 2019, v. 39: 55910 SOUTO, J. I. DE. O.; BELTRÃO, N. E. S.; OLIVEIRA, R. M. E. S. DE. https://revistas.ufg.br/bgg https://doi.org/10.5216/bgg.v39.55910 B G G 2-25 strongly influenced by the positive anomalies of the Pacific Ocean and North Tropical Atlantic, leading a deficit rainfall. Indices related to precipitation show a decrease in the annual rainfall accumulations, being possible to observe smaller and higher values in the CWD and CDD, respectively. SPI frequencies were observed with moderate (-1.0 to -1.49) and severe (-1.49 to -1.99) drought categories, causing a delay in hydrological flow. In summary, CPC MORPHing data can be used for reliable monitoring of short-term meteorological droughts, as there are temporal limitations for longer time scales.