dor_id: 11294

506.#.#.a: Público

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

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)

561.#.#.u: https://www.atmosfera.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: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

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: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/26749/31889

100.1.#.a: Domínguez Mora, Ramón; Arganis Juárez, Maritza Liliana; Mendoza Resendiz, Alejandro; Carrizosa Elizondo, Eliseo; Echavarría Soto, Bernardo

524.#.#.a: Domínguez Mora, Ramón, et al. (2013). Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields. Atmósfera; Vol. 26 No. 1, 2013. Recuperado de https://repositorio.unam.mx/contenidos/11294

720.#.#.a: INSTITUTO DE INGENIERÍA, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO

245.1.0.a: Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields

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

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

264.#.0.c: 2013

264.#.1.c: 2012-11-21

653.#.#.a: Synthetic storms; Svanidze method; Valley of Mexico; maximum rainfall; mean rainfall

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/26749

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/26749

041.#.7.h: eng

520.3.#.a: A first procedure to generate synthetic storms, which preserves the statistical characteristics of the historical daily precipitation events registered in 49 stations located within the basin of Mexico City is presented. This procedure (a variation of the Svanidze method) implicitly supposes that the correlation between the maximum rainfall and its spatial distribution is meaningless. However, the obtained results did not validate that hypothesis. For this reason a second procedure was developed, which allows to consider the correlation between maximum rainfall and spatial distribution. This second procedure allowed reproducing the statistical characteristics of the daily rainfall for each station and also its spatial distribution, as shown in this work.

773.1.#.t: Atmósfera; Vol. 26 No. 1 (2013)

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: 42533d77a8bebce2

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

856.#.0.q: application/pdf

245.1.0.b: Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields

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

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

_deleted_conflicts: 2-e59be19a2177dce5b86e8d82920ae77d

No entro en nada

No entro en nada 2

Artículo

Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields

Domínguez Mora, Ramón; Arganis Juárez, Maritza Liliana; Mendoza Resendiz, Alejandro; Carrizosa Elizondo, Eliseo; Echavarría Soto, Bernardo

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

Domínguez Mora, Ramón, et al. (2013). Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields. Atmósfera; Vol. 26 No. 1, 2013. Recuperado de https://repositorio.unam.mx/contenidos/11294

Descripción del recurso

Autor(es)
Domínguez Mora, Ramón; Arganis Juárez, Maritza Liliana; Mendoza Resendiz, Alejandro; Carrizosa Elizondo, Eliseo; Echavarría Soto, Bernardo
Colaborador(es)
INSTITUTO DE INGENIERÍA, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Storms generator method that preserves their historical statistical characteristics. Application to Mexico City basin daily rainfall fields
Fecha
2012-11-21
Resumen
A first procedure to generate synthetic storms, which preserves the statistical characteristics of the historical daily precipitation events registered in 49 stations located within the basin of Mexico City is presented. This procedure (a variation of the Svanidze method) implicitly supposes that the correlation between the maximum rainfall and its spatial distribution is meaningless. However, the obtained results did not validate that hypothesis. For this reason a second procedure was developed, which allows to consider the correlation between maximum rainfall and spatial distribution. This second procedure allowed reproducing the statistical characteristics of the daily rainfall for each station and also its spatial distribution, as shown in this work.
Tema
Synthetic storms; Svanidze method; Valley of Mexico; maximum rainfall; mean rainfall
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces