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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)

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650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

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336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

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harvesting_group: RevistasUNAM

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

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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/8394/7864

100.1.#.a: Argete, Amador; Simmonds, Ian

524.#.#.a: Argete, Amador, et al. (1996). Comparison of temporal cloud variability simulated by a GCM with observations from the Nimbus-7 Satellite. Atmósfera; Vol. 9 No. 1, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4120465

245.1.0.a: Comparison of temporal cloud variability simulated by a GCM with observations from the Nimbus-7 Satellite

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/8394

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041.#.7.h: eng

520.3.#.a: This paper describes temporal cloudiness variability from Nimbus-7 satellite observations and a GCM simulation. The GCM clouds are parameterized using the cumulative normal distribution function to relate fractional cloud amount with large-scale relative humidity. The global distributions of cloudiness characteristics from both data sources are presented, including their temporal means and standard deviations. For the Nimbus-7 observations, the periods are for DJF and JJA, 1979-1985 while the simulated data are for perpetual January and July. Variances contributed by fluctuations with periods between 2.5 to 6 days, and >10 days are extracted. Both observed and simulated cloud variability fields show strong zonal dependence. High-frequency fluctuations are more predominant in the middle latitudes while low-frequency fluctuations predominate in the tropics and the polar regions. In general, unfiltered cloud variabilities are highest in regions associated with cyclolysis. The GCM performs creditably in not only simulating the seasonal means but also the variabilities in the temporal bands examined. Some reasons for the extracted cloud variability patterns at different locations and for different cloud heights are given.

773.1.#.t: Atmósfera; Vol. 9 No. 1 (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: 2ae49031a62da215

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

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245.1.0.b: Comparision of temporal cloud variability simulated by a GCM whit observations from the Nimbus-7 Satellite

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Artículo

Comparison of temporal cloud variability simulated by a GCM with observations from the Nimbus-7 Satellite

Argete, Amador; Simmonds, Ian

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

Argete, Amador, et al. (1996). Comparison of temporal cloud variability simulated by a GCM with observations from the Nimbus-7 Satellite. Atmósfera; Vol. 9 No. 1, 1996. Recuperado de https://repositorio.unam.mx/contenidos/4120465

Descripción del recurso

Autor(es)
Argete, Amador; Simmonds, Ian
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Comparison of temporal cloud variability simulated by a GCM with observations from the Nimbus-7 Satellite
Fecha
2009-10-05
Resumen
This paper describes temporal cloudiness variability from Nimbus-7 satellite observations and a GCM simulation. The GCM clouds are parameterized using the cumulative normal distribution function to relate fractional cloud amount with large-scale relative humidity. The global distributions of cloudiness characteristics from both data sources are presented, including their temporal means and standard deviations. For the Nimbus-7 observations, the periods are for DJF and JJA, 1979-1985 while the simulated data are for perpetual January and July. Variances contributed by fluctuations with periods between 2.5 to 6 days, and >10 days are extracted. Both observed and simulated cloud variability fields show strong zonal dependence. High-frequency fluctuations are more predominant in the middle latitudes while low-frequency fluctuations predominate in the tropics and the polar regions. In general, unfiltered cloud variabilities are highest in regions associated with cyclolysis. The GCM performs creditably in not only simulating the seasonal means but also the variabilities in the temporal bands examined. Some reasons for the extracted cloud variability patterns at different locations and for different cloud heights are given.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces