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100.1.#.a: Athar, Hussain; Sara, Athar

524.#.#.a: Athar, Hussain, et al. (2014). Surface temperature forecast skill comparison for the west coast of Saudi Arabia. Atmósfera; Vol. 27 No. 3, 2014. Recuperado de https://repositorio.unam.mx/contenidos/11102

245.1.0.a: Surface temperature forecast skill comparison for the west coast of Saudi Arabia

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

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

264.#.0.c: 2014

264.#.1.c: 2015-01-12

653.#.#.a: Saudi Arabia; surface temperature; forecast skill comparison; transitional season period

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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041.#.7.h: eng

520.3.#.a: Given the growing interest of the general public in accessing commercial weather forecasts through various media outlets and the available impetuses for promoting tourism in Saudi Arabia (SA), a first attempt is made to present a forecast skill comparison for surface temperature in four cities (Wejh, Yenbo, Jeddah, and Gizan) along the west coast of SA, for the 61-day transitional period (from January 16 to March 16) between the December-January-February (DJF) and the March-April-May (MAM) seasons. A simple skill score comparison method is used to assess the next-day city forecasts for surface temperature from six commercial weather forecast providers based on the operational numerical weather prediction (NWP) model outputs. All the NWP model forecast providers performed better than the respective daily climatology (Clm) for each station. Depending upon the station and the provider, the absolute average maximum daily surface temperature difference between the forecasts and the observations was less than 2 ºC. Daily surface temperature forecasts from two versions of an atmospheric-ocean general circulation model are also compared to assess their performance for these coastal locations.

773.1.#.t: Atmósfera; Vol. 27 No. 3 (2014)

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: 72051088f8cee7d4

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

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245.1.0.b: Surface temperature forecast skill comparison for the west coast of Saudi Arabia

last_modified: 2023-06-20 16:00:00

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license_type: by-nc

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Artículo

Surface temperature forecast skill comparison for the west coast of Saudi Arabia

Athar, Hussain; Sara, Athar

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

Athar, Hussain, et al. (2014). Surface temperature forecast skill comparison for the west coast of Saudi Arabia. Atmósfera; Vol. 27 No. 3, 2014. Recuperado de https://repositorio.unam.mx/contenidos/11102

Descripción del recurso

Autor(es)
Athar, Hussain; Sara, Athar
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Surface temperature forecast skill comparison for the west coast of Saudi Arabia
Fecha
2015-01-12
Resumen
Given the growing interest of the general public in accessing commercial weather forecasts through various media outlets and the available impetuses for promoting tourism in Saudi Arabia (SA), a first attempt is made to present a forecast skill comparison for surface temperature in four cities (Wejh, Yenbo, Jeddah, and Gizan) along the west coast of SA, for the 61-day transitional period (from January 16 to March 16) between the December-January-February (DJF) and the March-April-May (MAM) seasons. A simple skill score comparison method is used to assess the next-day city forecasts for surface temperature from six commercial weather forecast providers based on the operational numerical weather prediction (NWP) model outputs. All the NWP model forecast providers performed better than the respective daily climatology (Clm) for each station. Depending upon the station and the provider, the absolute average maximum daily surface temperature difference between the forecasts and the observations was less than 2 ºC. Daily surface temperature forecasts from two versions of an atmospheric-ocean general circulation model are also compared to assess their performance for these coastal locations.
Tema
Saudi Arabia; surface temperature; forecast skill comparison; transitional season period
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces