Análise de estimativas de precipitação por satélite e de diferentes métodos de preenchimento de falhas para a região do Sudeste Goiano

• Autor(a) principal: Duarte, Luíza Virgínia
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• dARK ID: ark:/38995/0013000009z90
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/12251
• topic: GPM; Pluviômetros; Regressão linear múltipla; Correlação; Rain gauges; Multiple linear regression; Correlation; ENGENHARIAS::ENGENHARIA SANITARIA::SANEAMENTO AMBIENTAL

Precise estimation and monitoring of rainfall occurrence patterns are essential for the modeling of hydrological systems and the planning and management of water resources in various sectors of society. Failures in data series records may compromise studies in practical applications. Advances in precipitation physics are imperative to improve numerical models and rely heavily on testing new hypotheses for actual precipitation measurements, and improved predictions are deeply intertwined with the ability to measure precipitation. In this sense, the quality of satellite precipitation products has been significantly improved in the last decades, especially with the emergence of the missions: Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM) that comes as a successor to the TRMM mission in order to provide better global estimates of high quality and precipitation resolution. The objective of this study was to compare precipitation estimates generated by the GPM satellite with data observed on land in order to test the effectiveness of these rainfall estimates in relation to temporal and spatial patterns and to compare these data with traditional methods of filling data for the generation of complete series of data. The methods of comparison were applied for mean rainfall in the Meia Ponte and Rio dos Bois basins of the State of Goiás for daily, monthly and annual scales, and the failure completion methods were analyzed for the same region in daily and monthly data. The results were satisfactory for the monthly and annual analyzes in the region of the two basins and the daily precipitation data, due to their greater variability, they require more studies to refine the techniques in order to obtain better results.