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100.1.#.a: Cress, Alexander; Schonwiese, Christian D.

524.#.#.a: Cress, Alexander, et al. (1992). Statistical signal and signal-to-noise assessments of the seasonal and regional patterns of global volcanism-temperature relationships. Atmósfera; Vol. 5 No. 1, 1992. Recuperado de https://repositorio.unam.mx/contenidos/4121490

245.1.0.a: Statistical signal and signal-to-noise assessments of the seasonal and regional patterns of global volcanism-temperature relationships

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

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

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520.3.#.a: In order to investigate the volcanic forcing of air temperature on a global scale five different volcanic activity parameter time series are used, two of them representing new modifications of earlier assessments. These parameter time series are compared with each other and with the observed tropospheric (1851-1984) and stratospheric (1964-1984) temperature variations whereby in case of the tropospheric temperature (near suface) 108 regional "boxes" of seasonal data time series are available. In addition to a correlation analysis, including techniques moving in time, a multiple regression model is used which includes also solar, ENSO and anthropogenic COa forcing. From this model the seasonal and regional maximum air temperature signals are derived which may be due to volcanic forcing. These signals as well as the signal-to-noise ratios are presented in their hemispheric and zonal mean averages and in regional mapping all over the world.

773.1.#.t: Atmósfera; Vol. 5 No. 1 (1992)

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

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245.1.0.b: Statistical signal and signal-to-noise assessments to tje seasonal and regional patterns of global volcanism-temperaturen relationship

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Artículo

Statistical signal and signal-to-noise assessments of the seasonal and regional patterns of global volcanism-temperature relationships

Cress, Alexander; Schonwiese, Christian D.

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

Cress, Alexander, et al. (1992). Statistical signal and signal-to-noise assessments of the seasonal and regional patterns of global volcanism-temperature relationships. Atmósfera; Vol. 5 No. 1, 1992. Recuperado de https://repositorio.unam.mx/contenidos/4121490

Descripción del recurso

Autor(es)
Cress, Alexander; Schonwiese, Christian D.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Statistical signal and signal-to-noise assessments of the seasonal and regional patterns of global volcanism-temperature relationships
Fecha
2009-10-05
Resumen
In order to investigate the volcanic forcing of air temperature on a global scale five different volcanic activity parameter time series are used, two of them representing new modifications of earlier assessments. These parameter time series are compared with each other and with the observed tropospheric (1851-1984) and stratospheric (1964-1984) temperature variations whereby in case of the tropospheric temperature (near suface) 108 regional "boxes" of seasonal data time series are available. In addition to a correlation analysis, including techniques moving in time, a multiple regression model is used which includes also solar, ENSO and anthropogenic COa forcing. From this model the seasonal and regional maximum air temperature signals are derived which may be due to volcanic forcing. These signals as well as the signal-to-noise ratios are presented in their hemispheric and zonal mean averages and in regional mapping all over the world.
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces