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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

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351.#.#.a: Artículos

harvesting_group: RevistasUNAM

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

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270.#.#.d: MX

270.1.#.d: México

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883.#.#.a: Revistas UNAM

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

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/8407/7877

100.1.#.a: Dobrovolski, Serguei G.; Choudhury, Bhaskar J.

524.#.#.a: Dobrovolski, Serguei G., et al. (1996). Temporal climatic variabilities of global atmospheric, oceanic, and land surface parameters. Atmósfera; Vol. 9 No. 4, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4120356

245.1.0.a: Temporal climatic variabilities of global atmospheric, oceanic, and land surface parameters

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

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

264.#.0.c: 1996

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

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/8407

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/8407

041.#.7.h: eng

520.3.#.a: Changes in the states of two groups of major earth climatic subsystems are investigated: (a) "thick" subsystems (atmosphere, and ocean), and (b), "thin" subsystems (vegetation, snow, and sea ice). These two groups are distinguished with respect to temporal variations of their spatial extent which is dynamic for the "thin" subsystems and stable for "thick" subsystems. Stochastic models governing monthly and longer-term anomalies of remotely sensed and in situ, globally averaged parameters of these layers (tropospheric temperature, sea surface temperature vegetation, snow and sea ice cover areas) are evaluated according to a new modification of the maximum entropy method with frequency truncation of normalized spectra. The analysis shows that global temporal variations of global thick subsystems are governed by the Bernoulli-Wiener type stochastic processes, while variabilities of the global "thin" subsystems are described by the first order Markov processes with intermediate values of coefficients. It is hypothesized that stochastic variations in global sea ice, snow, and vegetation covers depend on only a small number of independent regional variations and therefore still show the Markov characteristics of the latter. On the basis of the analysis of observational data and stochastic modeling, the authors propose a concept of mechanisms of climatic variations which takes into consideration different climatic subsystems as well as different temporal and spatial scales. The proposed hypothesis explains the stationarity of changes in the area of global "thin" covers, and the non-stationary, random walk (i.e. without deterministic trends) character of global temperature changes.

773.1.#.t: Atmósfera; Vol. 9 No. 4 (1996)

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: 584df6a0cb71d018

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

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245.1.0.b: Temporal Climatic variabilities of global atmospheric, oceanic, and land surface parameters

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Artículo

Temporal climatic variabilities of global atmospheric, oceanic, and land surface parameters

Dobrovolski, Serguei G.; Choudhury, Bhaskar J.

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

Dobrovolski, Serguei G., et al. (1996). Temporal climatic variabilities of global atmospheric, oceanic, and land surface parameters. Atmósfera; Vol. 9 No. 4, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4120356

Descripción del recurso

Autor(es)
Dobrovolski, Serguei G.; Choudhury, Bhaskar J.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Temporal climatic variabilities of global atmospheric, oceanic, and land surface parameters
Fecha
2009-10-05
Resumen
Changes in the states of two groups of major earth climatic subsystems are investigated: (a) "thick" subsystems (atmosphere, and ocean), and (b), "thin" subsystems (vegetation, snow, and sea ice). These two groups are distinguished with respect to temporal variations of their spatial extent which is dynamic for the "thin" subsystems and stable for "thick" subsystems. Stochastic models governing monthly and longer-term anomalies of remotely sensed and in situ, globally averaged parameters of these layers (tropospheric temperature, sea surface temperature vegetation, snow and sea ice cover areas) are evaluated according to a new modification of the maximum entropy method with frequency truncation of normalized spectra. The analysis shows that global temporal variations of global thick subsystems are governed by the Bernoulli-Wiener type stochastic processes, while variabilities of the global "thin" subsystems are described by the first order Markov processes with intermediate values of coefficients. It is hypothesized that stochastic variations in global sea ice, snow, and vegetation covers depend on only a small number of independent regional variations and therefore still show the Markov characteristics of the latter. On the basis of the analysis of observational data and stochastic modeling, the authors propose a concept of mechanisms of climatic variations which takes into consideration different climatic subsystems as well as different temporal and spatial scales. The proposed hypothesis explains the stationarity of changes in the area of global "thin" covers, and the non-stationary, random walk (i.e. without deterministic trends) character of global temperature changes.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces