A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina)
González, M.H; Skansi, N.M.; Losano, F.
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM
dor_id: 11289
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/19370/18348
100.1.#.a: González, M.H; Skansi, N.M.; Losano, F.
524.#.#.a: González, M.H, et al. (2010). A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina). Atmósfera; Vol. 23 No. 3, 2010. Recuperado de https://repositorio.unam.mx/contenidos/11289
245.1.0.a: A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina)
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2010
264.#.1.c: 2010-09-22
653.#.#.a: Seasonal prediction; precipitation; multiple linear regression; sea surface temperature; atmospheric circulation; Seasonal prediction; precipitation; multiple linear regression; sea surface temperature; atmospheric circulation
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/19370
001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/19370
041.#.7.h: eng
520.3.#.a: The aim of this study is to detect the possible causes of the May-to-July rainfall (MJJ) over the Limay and Neuquén river basins. In order to establish the existence of previous circulation patterns associated with interannual rainfall variability, the mean areal precipitation in each one of the basins was correlated to some predictors during the previous three month period (February-March-April). The result is that MJJ rainfall in both basins is related to sea surface temperature and geopotential heights at different levels previously observed in some specific areas of Indian and Pacific Oceans, probably due to wave trains which begin in those areas and then displace towards the Argentine Patagonia coast, thus generating precipitation systems. There are also observed significant correlations with sea surface temperature in the Atlantic Ocean over Brazil and the Argentine coast, associated with the water vapor income into the continent and with zonal and meridional wind over the basins, related to humid air advection. The prediction schemes, using multiple linear regressions, showed that the selected variables are the cause of the 51% of the MJJ rainfall variance in the Limay river basin and the 44% in the Neuquén river one. The scheme was validated by using a cross-validation method and significant correlations were detected between observed and forecast rainfall. The 2009 winter rainfall was analyzed and showed that circulation indicators were useful to predict winter rainfall.
773.1.#.t: Atmósfera; Vol. 23 No. 3 (2010)
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: 7881aed0dbcf2d40
harvesting_date: 2023-06-20 16:00:00.0
856.#.0.q: application/pdf
245.1.0.b: A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina)
last_modified: 2023-06-20 16:00:00
license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es
license_type: by-nc
_deleted_conflicts: 2-0d23a8bf2b45732d9c3fac46017f6623
González, M.H; Skansi, N.M.; Losano, F.
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM
González, M.H, et al. (2010). A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina). Atmósfera; Vol. 23 No. 3, 2010. Recuperado de https://repositorio.unam.mx/contenidos/11289