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)

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270.1.#.d: México

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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

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

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

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Artículo

Climate downscaling over South America for present- day climate (1970-1989) using the MM5 Model. Mean, Interannual Variability and Internal Variability

Cabré, María Fernanda; Solman, Silvina; Nuñez, Mario

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

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

Descripción del recurso

Autor(es)
Cabré, María Fernanda; Solman, Silvina; Nuñez, Mario
Colaborador(es)
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.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Climate downscaling over South America for present- day climate (1970-1989) using the MM5 Model. Mean, Interannual Variability and Internal Variability
Fecha
2015-11-09
Resumen
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.
Tema
Regional Climate Modeling; South America; Present Climate; Interannual Variability; Internal Variability; Ensemble
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

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