Relationship between monthly rainfall in NW peru and tropical sea surface temperature

Descripción del Articulo

This study assesses the relationship between global sea surface temperature (SST) and a regional index of rainfall (NWPR) in Piura-Tumbes, a coastal region in northwestern Peru, over the period 1965-2008 by means of the Pearson product-moment correlation. The results show that this area is strongly...

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Detalles Bibliográficos
Autores: Bazo, Juan, Lorenzo, M.D.L.N., Porfirio Da Rocha, R.
Formato: artículo
Fecha de Publicación:2013
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/99
Enlace del recurso:http://repositorio.senamhi.gob.pe/handle/20.500.12542/99
https://doi.org/10.1155/2013/152875
https://hdl.handle.net/20.500.12542/99
Nivel de acceso:acceso abierto
Materia:Rainfall
Tropical sea
Surface temperature
https://purl.org/pe-repo/ocde/ford#1.05.09
variabilidad climatica - Clima y Eventos Naturales
Descripción
Sumario:This study assesses the relationship between global sea surface temperature (SST) and a regional index of rainfall (NWPR) in Piura-Tumbes, a coastal region in northwestern Peru, over the period 1965-2008 by means of the Pearson product-moment correlation. The results show that this area is strongly influenced by three indices: El Niño-Southern Oscillation (ENSO) Niño3.4 region, the Indian Ocean Dipole (IOD), and the equatorial Atlantic Oscillation (ATL3). In particular, a positive correlation has been found with the two first indices (Niño3.4 and IOD) and a negative one with ATL3 with several months of delay. This allows developing a forecast regression model for monthly rainfall in NW Peru with months in advance. The results show that linear regression model is not enough to provide satisfactory results; however, a nonlinear regression model improves considerably the prediction of rainfall anomalies in NW Peru.
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