Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model

El Niño connects globally climate, ecosystems and socio-economic activities. Since 1980 this event has been tried to be predicted, but until now the statistical and dynamical models are insuffi cient. Thus, the objective of the present work was to explore using an autoregressive moving average mo...

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Main Authors: Carlos Quispe, Sara Purca
Format: Article
Language:English
Published: Universidad Nacional Mayor de San Marcos 2013-04-01
Series:Revista Peruana de Biología
Subjects:
Online Access:http://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/2164
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author Carlos Quispe
Sara Purca
author_facet Carlos Quispe
Sara Purca
author_sort Carlos Quispe
collection DOAJ
description El Niño connects globally climate, ecosystems and socio-economic activities. Since 1980 this event has been tried to be predicted, but until now the statistical and dynamical models are insuffi cient. Thus, the objective of the present work was to explore using an autoregressive moving average model the effect of El Niño over the sea surface temperature (TSM) off the Peruvian coast. The work involved 5 stages: identifi cation, estimation, diagnostic checking, forecasting and validation. Simple and partial autocorrelation functions (FAC and FACP) were used to identify and reformulate the orders of the model parameters, as well as Akaike information criterium (AIC) and Schwarz criterium (SC) for the selection of the best models during the diagnostic checking. Among the main results the models ARIMA(12,0,11) were proposed, which simulated monthly conditions in agreement with the observed conditions off the Peruvian coast: cold conditions at the end of 2004, and neutral conditions at the beginning of 2005.
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spelling doaj.art-d18bc44e15124a08be7e2d31fa6422d82022-12-21T18:13:59ZengUniversidad Nacional Mayor de San MarcosRevista Peruana de Biología1561-08371727-99332013-04-0114110911510.15381/rpb.v14i1.21641989Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average modelCarlos Quispe0Sara Purca1Centro de Investigaciones en Modelado Oceanográfi co y Biológico Pesquero (CIMOBP), Instituto del Mar del Perú (IMARPE), Apdo. 22, Callao, Perú.Centro de Investigaciones en Modelado Oceanográfi co y Biológico Pesquero (CIMOBP), Instituto del Mar del Perú (IMARPE), Apdo. 22, Callao, Perú.El Niño connects globally climate, ecosystems and socio-economic activities. Since 1980 this event has been tried to be predicted, but until now the statistical and dynamical models are insuffi cient. Thus, the objective of the present work was to explore using an autoregressive moving average model the effect of El Niño over the sea surface temperature (TSM) off the Peruvian coast. The work involved 5 stages: identifi cation, estimation, diagnostic checking, forecasting and validation. Simple and partial autocorrelation functions (FAC and FACP) were used to identify and reformulate the orders of the model parameters, as well as Akaike information criterium (AIC) and Schwarz criterium (SC) for the selection of the best models during the diagnostic checking. Among the main results the models ARIMA(12,0,11) were proposed, which simulated monthly conditions in agreement with the observed conditions off the Peruvian coast: cold conditions at the end of 2004, and neutral conditions at the beginning of 2005.http://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/2164ENOSmodelo ARIMAtemperatura superficial del marseries temporalesPerú.
spellingShingle Carlos Quispe
Sara Purca
Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
Revista Peruana de Biología
ENOS
modelo ARIMA
temperatura superficial del mar
series temporales
Perú.
title Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
title_full Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
title_fullStr Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
title_full_unstemmed Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
title_short Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average model
title_sort forecast of sea surface temperature off the peruvian coast using an autoregressive integrated moving average model
topic ENOS
modelo ARIMA
temperatura superficial del mar
series temporales
Perú.
url http://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/2164
work_keys_str_mv AT carlosquispe forecastofseasurfacetemperatureofftheperuviancoastusinganautoregressiveintegratedmovingaveragemodel
AT sarapurca forecastofseasurfacetemperatureofftheperuviancoastusinganautoregressiveintegratedmovingaveragemodel