Revista: | Boletim de ciencias geodesicas |
Base de datos: | PERIÓDICA |
Número de sistema: | 000457305 |
ISSN: | 1413-4853 |
Autores: | Nova, Raquel Arcoverde Vila1 Goncalves, Rodrigo Mikosz1 Ferreira, Ligia Albuquerque de Alcantara1 Lima, Fabio Vinicius Marley Santos1 |
Instituciones: | 1Universidade Federal de Pernambuco, Recife, Pernambuco. Brasil |
Año: | 2021 |
Volumen: | 27 |
Número: | 3 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | This work presents the influence of the spatial resolution on precipitation samples to understand extreme events in the Agreste region of Pernambuco, northeast of Brazil. Among the materials used, the following sources of precipitation data (1998 to 2019) can be cited: The Tropical Rainfall Measuring Mission (TRMM), the Climatic Research Unit (CRU), and weather stations. In the process of validating the precipitation time series with the weather stations, the TRMM data showed a strong Pearson correlation (0.86 - 0.90) and the CRU data a moderate one (0.71 - 0.76). The relative bias (RB) and the standard deviation of observation ratio (RSR) were also calculated to identify the data’s trend, which showed an overestimation for both sources. The extreme events were identified through the calculation of the Standardized Precipitation Index (SPI), where the TRMM with strong correlation (0.80 - 0.91) obtained a better performance than the CRU data. The TRMM data were selected to understand the extreme drought events in the study area, where the cities with altitudes above 500m obtained maximum values of probability of occurrence with 19%. Conversely, for extreme humidity events, the maximum was 14% for those with altitudes below 200m |
Disciplinas: | Geociencias |
Palabras clave: | Ciencias de la atmósfera, Lluvia, Clima extremoso, Misión de medición de lluvias tropicales, Brasil |
Keyword: | Atmospheric sciences, Rainfall, Extreme climate, Tropical Rainfall Measuring Mission (TRMM), Brazil |
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