Bibliographic citations
Cavalcanti, K., (2018). Diagnóstico estacional y predictibilidad de la precipitación en la cuenca alta del Mantaro basadas en radiación de onda larga emergente [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3088
Cavalcanti, K., Diagnóstico estacional y predictibilidad de la precipitación en la cuenca alta del Mantaro basadas en radiación de onda larga emergente [Tesis]. : Universidad Nacional Agraria La Molina; 2018. https://hdl.handle.net/20.500.12996/3088
@mastersthesis{renati/248635,
title = "Diagnóstico estacional y predictibilidad de la precipitación en la cuenca alta del Mantaro basadas en radiación de onda larga emergente",
author = "Cavalcanti Cárdenas, Kenyi Glicerio",
publisher = "Universidad Nacional Agraria La Molina",
year = "2018"
}
Extreme events such as El Niño and La Niña modified hydrological variability in many places on the planet, generating significant impacts in the country socio-economic wellbeing; however, the generation and the development of extreme rainfall, atmospheric dynamics and physical processes are still poorly studied. This research analyzes the temporal and spatial variability of precipitation, annual and daily scale, during El Niño and La Niña events, of magnitude moderate to strong, identified during the period 19982015, in the upper basin of the Mantaro River. In addition, data precipitations on-site, as well as the Mission of Measuring tropical rainfall (TRMM) were used. Initially, discussed the reliability of rainfall data obtained from the TRMM information source; the results suggest that, during the wet season, the information is reliable according to proposed indicators. Then was the correction of values through the generation of additive factors, thus obtaining common patterns of precipitation. Subsequently, be regionalized precipitation through the application of the method of Regional Vector (MRV) obtaining two distinct climatic regions: the South and North; subsequently, we analyzed the variability of precipitation, a daily scale, through ten precipitation indices calculation. Daily precipitation patterns through the application of the principal component analysis technique, was then obtained for the months of greater precipitation, in years identified with La Niña and El Niño events. Finally, we analyzed the ability of predictability of precipitation during events the girl through the use of an index that uses OLR values measured in the Central Pacific (Niño 4) as well as in the analysis of the atmospheric circulation processes that favour the occurrence of extreme rainfall in the upper basin of the Mantaro
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