dor_id: 4132462

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

561.#.#.u: https://www.geofisica.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: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM.63

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

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

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

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1131/1055

100.1.#.a: Adem, J.; Mendoza, V. M.

524.#.#.a: Adem, J., et al. (1988). Recent numerical-thermodynamic experiments on sea surface temperature prediction. Geofísica Internacional; Vol. 27 Núm. 3: Julio 1, 1988; 309-325. Recuperado de https://repositorio.unam.mx/contenidos/4132462

245.1.0.a: Recent numerical-thermodynamic experiments on sea surface temperature prediction

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

561.1.#.a: Instituto de Geofísica, UNAM

264.#.0.c: 1988

264.#.1.c: 1988-07-01

653.#.#.a: Termodinámica; predicción; temperatura; superficie del mar; Thermodynamics; prediction; temperature; sea surface

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-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1131

001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/1131

041.#.7.h: eng

520.3.#.a: The conservation of thermal energy applied to the upper layer of the oceans, is used to predict mean monthly sea surface temperature anomalies in the Northern Hemisphere. As input data we use the sea surface temperature,the 700-mb temperature and the surface air pressure in the previous month, as prepared by NOAA. A study is carried out on the relative importance, for the predictions, of the anomalies of the horizontal transport by wind drift ocean currents, and by horizontal turbulent mixing, as well as the heating by evaporation, sensible heat given off to the atmosphere, and short and long wave radiation. To compute the wind drift ocean currents we use an Ekman model forced with a geostrophic surface wind.Numerical experiments varying the angle between the geostrophic surface wind and the resultant surface current shows that the best predictions are obtained for an angle equal to zero degrees.A verification in the Pacific and Atlantic oceans for the 36-month period from June 1980 to May 1983 shows some degree of skill in the predictions due to the heating and the turbulent mixing terms. However, the best skill is obtained when, besides these terms, the anomalies of the transport by wind drift ocean currents are included in the predictions. The skill is still substantially increased when, for computing the wind drift ocean currents and the heating, we use- the prescribed geostrophic wind and the 700-mb temperature for the current month, instead of the ones for the previous month. These semiprediction experiments show that a more complete model in which the Surface gcostrophic wind and the air temperature arc predicted, will lead to a considerable improvement in the predictions.doi: https://doi.org/10.22201/igeof.00167169p.1988.27.3.1203

773.1.#.t: Geofísica Internacional; Vol. 27 Núm. 3: Julio 1, 1988; 309-325

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

022.#.#.a: ISSN electrónico: 2954-436X; ISSN impreso: 0016-7169

310.#.#.a: Trimestral

300.#.#.a: Páginas: 309-325

599.#.#.a: 63

264.#.1.b: Instituto de Geofísica, UNAM

doi: https://doi.org/10.22201/igeof.00167169p.1988.27.3.1203

harvesting_date: 2024-02-23 00:00:00.0

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