dor_id: 10871
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/34753/46523
100.1.#.a: Cabré, María Fernanda; Solman, Silvina; Nuñez, Mario
524.#.#.a: Cabré, María Fernanda, et al. (2014). Climate downscaling over South America for present- day climate (1970-1989) using the MM5 Model. Mean, Interannual Variability and Internal Variability. Atmósfera; Vol. 27 No. 2, 2014. Recuperado de https://repositorio.unam.mx/contenidos/10871
720.#.#.a: This work was partially supported by UBACYT-Y028, CLARIS-LPB (A Europe-South America Network for Climate Change Assessment and Impact Studies in La Plata Basin-http://www.claris-eu.org/) and CONICET Grants PIP 112-201101-00189 and PIP 112-200801-00195.
245.1.0.a: Climate downscaling over South America for present- day climate (1970-1989) using the MM5 Model. Mean, Interannual Variability and Internal Variability
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2014
264.#.1.c: 2015-11-09
653.#.#.a: Regional Climate Modeling; South America; Present Climate; Interannual Variability; Internal Variability; Ensemble
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/34753
001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/34753
041.#.7.h: eng
520.3.#.a: This work focuses on evaluating the ability of the MM5 regional model to represent the basic features of present climate over South America. The spatial distribution of seasonal means and its interannual variability as well as annual cycles for precipitation and near-surface temperature have been evaluated. The internal variability has also been investigated. The analysis has two objectives, one of them is to quantify the dynamic downscaling ability to represent the current climate and the other identify the critical aspects of the regional climate model in South America in order to interpret future projections for the end of XXI century in the SRES A2 scenario with a degree reliability.In general, the MM5 model is able to adequately reproduce the main general features, the seasonal cycle and the year-to-year variability of surface variables over South America. The spatial distribution of temperature is well represented, but it can be found some systematic errors such as an overestimation in central and northern Argentina and an underestimation in the mountainous regions throughout the year. The general structure of precipitation is also well captured by the regional model, although it overestimates the precipitation in the Andean region (specifically in the central and southern Chile) in all seasons and underestimates the rainfall in tropical latitudes. The annual cycle of precipitation is adequately represented in the subregions analyzed, but its representation is better at La Plata Basin (LPB), Cuyo (CU) and Sureste Pampas (SEP). The annual cycle of mean temperature is well represented, too. The model systematically overestimates the interannual variability of temperature and underestimates the interannual variability of precipitation. From the analyses of interannual, internal variability and biases, it can be conclude that regardless the season, the MM5 regional model precipitation is reliable at subtropical latitudes, Uruguay, southern Brazil and centre east of Argentina but it is unreliable over areas of elevated topography. For temperature the regional model is reliable on subtropical latitudes, Uruguay and south of Brazil only during winter, but it less reliable is or even it is in the limit of reliability over centre and south of Chile along the year.Therefore, it is concluded that the MM5 model is a useful tool in the generation of regional climate change scenarios of high resolution over southern South America and is an interesting starting point to perform others evaluations on climate change studies that are discussed in a companion paper.
773.1.#.t: Atmósfera; Vol. 27 No. 2 (2014)
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: 04b06f54851c86df
harvesting_date: 2023-06-20 16:00:00.0
856.#.0.q: application/pdf
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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