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100.1.#.a: Schonwiese, Christian D.; Bayer, Dieter

524.#.#.a: Schonwiese, Christian D., et al. (1995). Some statistical aspects of anthropogenic and natural forced global temperature change. Atmósfera; Vol. 8 No. 1, 1995. Recuperado de https://repositorio.unam.mx/contenidos/4120270

245.1.0.a: Some statistical aspects of anthropogenic and natural forced global temperature change

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

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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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520.3.#.a: The observed global, hemispheric, and meridional (zonal means) temperature fluctuations near surface covering the period 1851-1991 or 1861-1991, respectively, are reproduced by "multiforced" regression models which take into account volcanic, solar, ENSO, and GHG (greenhouse gases) forcing. Moreover, the observed trends and trend-to-noise ratios are compared using different data sources. Different statistical tests including random forcing of detrended data (Monte Carlo testing) and extrapolations on the basis of "calibration" subperiods demonstrate that the statistical approach works quite well Therefore not only assessments of GHG and natural signals in observational temperature time series are presented but also extrapolations based on the IPCC scenarios A and D. A comparison with the results obtained from the Hamburg Max-Planck-Institute for Meteorology (MPI) coupled atmosphere-ocean transient simulations show a somewhat larger magnitude of the statistically derived GHG signals where the difference, however, is not significant when the uncertainties of both methods are taken into account.

773.1.#.t: Atmósfera; Vol. 8 No. 1 (1995)

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Artículo

Some statistical aspects of anthropogenic and natural forced global temperature change

Schonwiese, Christian D.; Bayer, Dieter

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

Schonwiese, Christian D., et al. (1995). Some statistical aspects of anthropogenic and natural forced global temperature change. Atmósfera; Vol. 8 No. 1, 1995. Recuperado de https://repositorio.unam.mx/contenidos/4120270

Descripción del recurso

Autor(es)
Schonwiese, Christian D.; Bayer, Dieter
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Some statistical aspects of anthropogenic and natural forced global temperature change
Fecha
2009-10-05
Resumen
The observed global, hemispheric, and meridional (zonal means) temperature fluctuations near surface covering the period 1851-1991 or 1861-1991, respectively, are reproduced by "multiforced" regression models which take into account volcanic, solar, ENSO, and GHG (greenhouse gases) forcing. Moreover, the observed trends and trend-to-noise ratios are compared using different data sources. Different statistical tests including random forcing of detrended data (Monte Carlo testing) and extrapolations on the basis of "calibration" subperiods demonstrate that the statistical approach works quite well Therefore not only assessments of GHG and natural signals in observational temperature time series are presented but also extrapolations based on the IPCC scenarios A and D. A comparison with the results obtained from the Hamburg Max-Planck-Institute for Meteorology (MPI) coupled atmosphere-ocean transient simulations show a somewhat larger magnitude of the statistically derived GHG signals where the difference, however, is not significant when the uncertainties of both methods are taken into account.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces