Citas bibligráficas
Rojas, G., (2022). Análisis de correlación y teleconexión entre las precipitaciones extremas recurrentes del norte del Perú y anomalías de temperatura superficial del mar [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/659068
Rojas, G., Análisis de correlación y teleconexión entre las precipitaciones extremas recurrentes del norte del Perú y anomalías de temperatura superficial del mar [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/659068
@misc{renati/398639,
title = "Análisis de correlación y teleconexión entre las precipitaciones extremas recurrentes del norte del Perú y anomalías de temperatura superficial del mar",
author = "Rojas Alban, Geraldine Sherezade",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
The north coast of Peru is one of the most negative impact regions by floods due to extreme rain events. “El Niño“ effect in 1982-1983, 1998, and 2017 years was caused innumerable losses in infrastructure, that event is considered as a product of an unusual increase in sea surface temperature. Analysis of teleconnection between sea surface temperature anomalies (SSTA) and extreme rainfall (ER) which occurred on the north coast of Peru (Tumbes, Piura y Lambayeque) to describe tren of the behavior of SSTA to large-scale rainfalls. For that reason, cross-correlations with an application of time lags were used to find the intensity in which SSTA and ER are associated. The data for obtaining ER were extracted from the Piscop grilled product, which is based on information and calibration of records of meteorological stations. While obtaining SSTA was extracted from ERA5- ECMWF calibrated by oceanographic stations. From the analysis was observed that maximum precipitations that are recorded on the north coast of Peru present a greater association and significance less than or equal to 5% when time-lag is applied to SSTA, for 1 month for points ubicated in regions NIÑO 1 and NIÑO 2, and for 3 months points ubicated in regions NIÑO 3 and NIÑO 4. Finally, the greatest association originates between an unusual variation of SST produced in 3.3 SSTA point and ER whit a time-lag of 3 months.
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