Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models

18 páginas, 7 tablas, 10 figuras

Detalhes bibliográficos
Autores: Nogueira, Enrique, Pérez, Fiz F., Ríos, Aida F.
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:1997
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/59023
Acesso em linha:http://hdl.handle.net/10261/59023
Access Level:acceso abierto
Palavra-chave:Thermohaline properties
Meteorological forcing
Time series
Transfer functions models
Ria de Vigo
Iberian upwelling
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spelling Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function modelsNogueira, EnriquePérez, Fiz F.Ríos, Aida F.Thermohaline propertiesMeteorological forcingTime seriesTransfer functions modelsRia de VigoIberian upwelling18 páginas, 7 tablas, 10 figurasSince 1987, twice weekly, hydrological variables have been monitored at a fixed station in the Ría de Vigo (NW Spain), aiming to examine the time scales of variability and the relationships to meteorological conditions. The present paper analyses: (1) the advantage of Box-Jenkins transfer function (TF) models (single output–multiple input), a type of linear stochastic model, to describe the dynamic behaviour of the system; and (2) the coupling between the Ría and meteorological events at the time scale of autonomy of this coastal inlet affected by the Iberian coastal upwelling, approximately a fortnightly period. In order to achieve these objectives, thermohaline properties have been used to characterize the estuarine ecosystem (output variables), while wind regime, runoff in the drainage basin and incoming solar radiation have been considered as the main forcing variables (input variables). The use of the amplitude time series, derived from principal component analysis (PCA) applied to the deseasonalized meteorological variables, is also explored as a different set of input variables. When compared with standard regression models, all TF models built to describe thermohaline behaviour had reduced residual variance. Similar TF models, as well as percentage of explained variance, were also obtained when meteorological variables or the amplitude time series were used as input variables. The fitted TF models provided an insight into the ‘ inertial ’ behaviour of the system and the time scales of coupling of the system with the forcing variables. The plausible physical mechanisms which link the response of the system with the observed meteorological variability are also discussed. As could be expected, bottom thermohaline properties show a stronger inertial behaviour than the surface ones, which is particularly marked for bottom temperature. Besides, the shelf domain, by means of upwelling-downwelling events, strongly influences surface and bottom temperature, as well as bottom salinity; by contrast, surface salinity is mainly influenced by the effect of wind along the main axis of the Rı´a and runoff. In relation to the time scales of coupling between the system and the forcing variables, thermohaline properties show a dependance with the meteorological conditions in, at least, the immediately preceding fortnight period. It was concluded that: (1) TF models that incorporate meteorological information described the dynamic behaviour of the system adequately; and (2) this type of model can be useful as a first approximation to develop more sophisticated (deterministic) models, since, with the purpose of modelling any state variable of the system, both the coupling between different domains and the time scales of the interactions must be taken into accountSupport for this work came from CICYT Project AMB 92-0165Peer reviewedElsevierComisión Interministerial de Ciencia y Tecnología, CICYT (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201220121997info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/59023reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1006/ecss.1996.0143Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/590232026-05-22T06:33:51Z
dc.title.none.fl_str_mv Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
title Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
spellingShingle Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
Nogueira, Enrique
Thermohaline properties
Meteorological forcing
Time series
Transfer functions models
Ria de Vigo
Iberian upwelling
title_short Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
title_full Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
title_fullStr Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
title_full_unstemmed Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
title_sort Modelling thermohaline properties in an estuarine upwelling ecosystem (Ria de Vigo: NW Spain) using Box-Jenkins transfer function models
dc.creator.none.fl_str_mv Nogueira, Enrique
Pérez, Fiz F.
Ríos, Aida F.
author Nogueira, Enrique
author_facet Nogueira, Enrique
Pérez, Fiz F.
Ríos, Aida F.
author_role author
author2 Pérez, Fiz F.
Ríos, Aida F.
author2_role author
author
dc.contributor.none.fl_str_mv Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Thermohaline properties
Meteorological forcing
Time series
Transfer functions models
Ria de Vigo
Iberian upwelling
topic Thermohaline properties
Meteorological forcing
Time series
Transfer functions models
Ria de Vigo
Iberian upwelling
description 18 páginas, 7 tablas, 10 figuras
publishDate 1997
dc.date.none.fl_str_mv 1997
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/59023
url http://hdl.handle.net/10261/59023
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1006/ecss.1996.0143
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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