dor_id: 4120392

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)

561.#.#.u: https://www.atmosfera.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/8503/7973

100.1.#.a: Mateos, Vidal L.; García, José A.; Serrano, Antonio; De La Cruz Gallego, María

524.#.#.a: Mateos, Vidal L., et al. (2002). Transfer function modeling of the monthly accumulated rainfall series over the Iberian Peninsula. Atmósfera; Vol. 15 No. 4, 2002. Recuperado de https://repositorio.unam.mx/contenidos/4120392

245.1.0.a: Transfer function modeling of the monthly accumulated rainfall series over the Iberian Peninsula

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2002

264.#.1.c: 2009-10-05

653.#.#.a: AUTOREGRESSIVE - MOVING AVERAGE; DISCRETE LINEAR TRANSFER FUNCTION NOISE; RAINFALL MODELING; Autoregressive - moving average; discrete linear transfer function noise; rainfall modeling

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/8503

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/8503

041.#.7.h: eng

520.3.#.a: In order to improve the results given by Autoregressive Moving-Average (ARMA) modeling for the monthly accumulated rainfall series taken at 19 observatories of the Iberian Peninsula, a Discrete Linear Transfer Function Noise (DLTFN) model was applied taking the local pressure series (LP), North Atlantic sea level pressure series (SLP) and North Atlantic sea surface temperature (SST) as input variables, and the rainfall series as the output series. In all cases, the performance of the DLTFN models, measured by the explained variance of the rainfall series, is better than the performance given by the ARMA modeling. The best performance is given by the models which take the local pressure as the input variable, followed by the sea level pressure models and the sea surface temperature models. Geographically speaking, the models fitted to those observatories located in the west of the Iberian Peninsula work better than those on the north and east of the Peninsula. Also, it was found that there is a region located between 0ºN and 20º N, which shows the highest cross-correlation between SST and the peninsula rainfalls. This region moves to the west and northwest off the Peninsula when the SLP series are used.

773.1.#.t: Atmósfera; Vol. 15 No. 4 (2002)

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

046.#.#.j: 2021-10-20 00:00:00.000000

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

handle: 528ab72011f155e0

harvesting_date: 2023-06-20 16:00:00.0

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file_creation_date: 2002-10-22 14:14:05.0

file_modification_date: 2003-06-18 21:29:38.0

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245.1.0.b: Transfer function modeling of the monthly accumulated rain fall series over the Iberian Peninsula

last_modified: 2023-06-20 16:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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Artículo

Transfer function modeling of the monthly accumulated rainfall series over the Iberian Peninsula

Mateos, Vidal L.; García, José A.; Serrano, Antonio; De La Cruz Gallego, María

Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Mateos, Vidal L., et al. (2002). Transfer function modeling of the monthly accumulated rainfall series over the Iberian Peninsula. Atmósfera; Vol. 15 No. 4, 2002. Recuperado de https://repositorio.unam.mx/contenidos/4120392

Descripción del recurso

Autor(es)
Mateos, Vidal L.; García, José A.; Serrano, Antonio; De La Cruz Gallego, María
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Transfer function modeling of the monthly accumulated rainfall series over the Iberian Peninsula
Fecha
2009-10-05
Resumen
In order to improve the results given by Autoregressive Moving-Average (ARMA) modeling for the monthly accumulated rainfall series taken at 19 observatories of the Iberian Peninsula, a Discrete Linear Transfer Function Noise (DLTFN) model was applied taking the local pressure series (LP), North Atlantic sea level pressure series (SLP) and North Atlantic sea surface temperature (SST) as input variables, and the rainfall series as the output series. In all cases, the performance of the DLTFN models, measured by the explained variance of the rainfall series, is better than the performance given by the ARMA modeling. The best performance is given by the models which take the local pressure as the input variable, followed by the sea level pressure models and the sea surface temperature models. Geographically speaking, the models fitted to those observatories located in the west of the Iberian Peninsula work better than those on the north and east of the Peninsula. Also, it was found that there is a region located between 0ºN and 20º N, which shows the highest cross-correlation between SST and the peninsula rainfalls. This region moves to the west and northwest off the Peninsula when the SLP series are used.
Tema
AUTOREGRESSIVE - MOVING AVERAGE; DISCRETE LINEAR TRANSFER FUNCTION NOISE; RAINFALL MODELING; Autoregressive - moving average; discrete linear transfer function noise; rainfall modeling
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces