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100.1.#.a: Moreles, Efrain; Martínez-lópez, Benjamín

524.#.#.a: Moreles, Efrain, et al. (2016). Analysis of the simulated global temperature using a simple energy balance stochastic model. Atmósfera; Vol. 29 No. 4, 2016; 279-297. Recuperado de https://repositorio.unam.mx/contenidos/11222

245.1.0.a: Analysis of the simulated global temperature using a simple energy balance stochastic model

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

264.#.0.c: 2016

264.#.1.c: 2016-09-30

653.#.#.a: Temperature variability; stochastic parameterizations; autoregressive process; steady state; potential function

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

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041.#.7.h: eng

520.3.#.a: This work presents a study of the response of the simulated global temperature variability to additive and multiplicative stochastic parameterizations of heat fluxes, along with a description of the long-term variability in terms of simple autoregressive processes. The Earth’s global temperature was simulated using a globally averaged energy balance climate model coupled to a thermodynamic ocean model. It was found that simple autoregressive processes explain the temperature variability in the case of additive parameterizations; whereas in the case of multiplicative parameterizations, the description of the temperature variability would involve higher order autoregressive processes, suggesting the presence of complex feedback mechanisms originated by the multiplicative forcing. Also, it was found that multiplicative parameterizations produced a rich structure that emulates closely observed climate processes. Finally, a new approach to describe the stability in the steady state of a general one-dimensional stochastic system, through its potential function, was proposed. From an analytical expression of the potential function, further insight into the description of a stochastic system was provided.

773.1.#.t: Atmósfera; Vol. 29 No. 4 (2016); 279-297

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

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300.#.#.a: Páginas: 279-297

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

doi: https://doi.org/10.20937/ATM.2016.29.04.01

handle: 00c26ee92aea5bad

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Artículo

Analysis of the simulated global temperature using a simple energy balance stochastic model

Moreles, Efrain; Martínez-lópez, Benjamín

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

Moreles, Efrain, et al. (2016). Analysis of the simulated global temperature using a simple energy balance stochastic model. Atmósfera; Vol. 29 No. 4, 2016; 279-297. Recuperado de https://repositorio.unam.mx/contenidos/11222

Descripción del recurso

Autor(es)
Moreles, Efrain; Martínez-lópez, Benjamín
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Analysis of the simulated global temperature using a simple energy balance stochastic model
Fecha
2016-09-30
Resumen
This work presents a study of the response of the simulated global temperature variability to additive and multiplicative stochastic parameterizations of heat fluxes, along with a description of the long-term variability in terms of simple autoregressive processes. The Earth’s global temperature was simulated using a globally averaged energy balance climate model coupled to a thermodynamic ocean model. It was found that simple autoregressive processes explain the temperature variability in the case of additive parameterizations; whereas in the case of multiplicative parameterizations, the description of the temperature variability would involve higher order autoregressive processes, suggesting the presence of complex feedback mechanisms originated by the multiplicative forcing. Also, it was found that multiplicative parameterizations produced a rich structure that emulates closely observed climate processes. Finally, a new approach to describe the stability in the steady state of a general one-dimensional stochastic system, through its potential function, was proposed. From an analytical expression of the potential function, further insight into the description of a stochastic system was provided.
Tema
Temperature variability; stochastic parameterizations; autoregressive process; steady state; potential function
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces