Pentadal classification of wind off Peruvian coast
Descripción del Articulo
The wind off the Peru coast has influence on marine physical, chemical and biological processes, both in surface and sub-surface layers and impacts coastal sea currents, sea surface temperature, vertical mixing layer, transport and retention of larvae in the sea. Furthermore it influences the approa...
Autores: | , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/20315 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20315 |
Nivel de acceso: | acceso abierto |
Materia: | Winds Classification lower quartile peruvian coast Vientos Clasificación cuartil inferior costa peruana |
id |
REVUNMSM_1c6150e1ca63aec44c00af46ae95876c |
---|---|
oai_identifier_str |
oai:ojs.csi.unmsm:article/20315 |
network_acronym_str |
REVUNMSM |
network_name_str |
Revistas - Universidad Nacional Mayor de San Marcos |
repository_id_str |
|
dc.title.none.fl_str_mv |
Pentadal classification of wind off Peruvian coast Clasificación pentadal de vientos frente a la costa Peruana |
title |
Pentadal classification of wind off Peruvian coast |
spellingShingle |
Pentadal classification of wind off Peruvian coast Correa, David Winds Classification lower quartile peruvian coast Vientos Clasificación cuartil inferior costa peruana |
title_short |
Pentadal classification of wind off Peruvian coast |
title_full |
Pentadal classification of wind off Peruvian coast |
title_fullStr |
Pentadal classification of wind off Peruvian coast |
title_full_unstemmed |
Pentadal classification of wind off Peruvian coast |
title_sort |
Pentadal classification of wind off Peruvian coast |
dc.creator.none.fl_str_mv |
Correa, David Chamorro, Adolfo Tam, Jorge |
author |
Correa, David |
author_facet |
Correa, David Chamorro, Adolfo Tam, Jorge |
author_role |
author |
author2 |
Chamorro, Adolfo Tam, Jorge |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Winds Classification lower quartile peruvian coast Vientos Clasificación cuartil inferior costa peruana |
topic |
Winds Classification lower quartile peruvian coast Vientos Clasificación cuartil inferior costa peruana |
description |
The wind off the Peru coast has influence on marine physical, chemical and biological processes, both in surface and sub-surface layers and impacts coastal sea currents, sea surface temperature, vertical mixing layer, transport and retention of larvae in the sea. Furthermore it influences the approach of oceanic waters towards the coast and in other cases it favors the extension of Cold Coastal Waters and Mixing Waters off the Peruvian coast through the coastal upwelling. Therefore, the intensification and weakening of coastal wind have a strong impact on environmental conditions and the ecosystem. In this work, satellite wind data obtained through the ASCAT (Advanced Scatterometer) scaterometer from a coastal strip up to 100 km (approximately 62 nautical miles) off Peru was used in five areas: Paita, Chicama, Callao, San Juan de Marcona and Ilo, during the period from March 21, 2007 to March 03, 2019, in order to analyze the intraseasonal variability of the wind and determine, based on the grouping of quartiles and moving averages, the minimum and maximum wind intensities for the identification of events of intensification or weakening respectively. The results show that the intra-seasonal wind variability is lower in the northern zone (Paita and Chicama), than in the central-southern zone (Callao, San Juan de Marcona and Ilo), which presents greater variability. The minimum and maximum pentadal intensities to identify wind intensification and weakening events showed different ranges of variation throughout the year and location along the Peruvian coast. Depending on the season, Ilo has minima wind intensities that vary between 2.1 to 3.8 ms-1 (weakening) and maxima between 4.4 to 5.2 ms-1 (intensification); while Paita, Callao and Chicama, have minimum wind intensities that vary between 2.3 to 4.8 ms-1 (weakening) and maxima between 4.2 to 7.3 ms-1 (intensification); while San Juan de Marcona has minimal wind intensities between 3.7 to 6.6 ms-1 (weakening) and maxima between 5.6 to 9.5 ms-1 (intensification). Finally, the number of days per year of wind intensification and weakening was determined, resulting in a predominance of wind intensification events during the years 2007, 2010 and 2013, and a predominance of wind weakening events during the years 2012, 2013, 2016 and 2017. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-31 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20315 10.15381/rif.v23i3.20315 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20315 |
identifier_str_mv |
10.15381/rif.v23i3.20315 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20315/16662 |
dc.rights.none.fl_str_mv |
Derechos de autor 2020 David Correa, Adolfo Chamorro, Jorge Tam https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2020 David Correa, Adolfo Chamorro, Jorge Tam https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos |
publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos |
dc.source.none.fl_str_mv |
Revista de Investigación de Física; Vol. 23 No. 3 (2020): 50th Anniversary of the EP of Mechanical Fluid Engineering; 61-65 Revista de Investigación de Física; Vol. 23 Núm. 3 (2020): 50 Aniversario de la EP de Ingeniería Mecánica de Fluidos; 61-65 1728-2977 1605-7724 reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
instname_str |
Universidad Nacional Mayor de San Marcos |
instacron_str |
UNMSM |
institution |
UNMSM |
reponame_str |
Revistas - Universidad Nacional Mayor de San Marcos |
collection |
Revistas - Universidad Nacional Mayor de San Marcos |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1795238319535161344 |
spelling |
Pentadal classification of wind off Peruvian coastClasificación pentadal de vientos frente a la costa PeruanaCorrea, DavidChamorro, AdolfoTam, JorgeWindsClassificationlower quartileperuvian coastVientosClasificacióncuartil inferiorcosta peruanaThe wind off the Peru coast has influence on marine physical, chemical and biological processes, both in surface and sub-surface layers and impacts coastal sea currents, sea surface temperature, vertical mixing layer, transport and retention of larvae in the sea. Furthermore it influences the approach of oceanic waters towards the coast and in other cases it favors the extension of Cold Coastal Waters and Mixing Waters off the Peruvian coast through the coastal upwelling. Therefore, the intensification and weakening of coastal wind have a strong impact on environmental conditions and the ecosystem. In this work, satellite wind data obtained through the ASCAT (Advanced Scatterometer) scaterometer from a coastal strip up to 100 km (approximately 62 nautical miles) off Peru was used in five areas: Paita, Chicama, Callao, San Juan de Marcona and Ilo, during the period from March 21, 2007 to March 03, 2019, in order to analyze the intraseasonal variability of the wind and determine, based on the grouping of quartiles and moving averages, the minimum and maximum wind intensities for the identification of events of intensification or weakening respectively. The results show that the intra-seasonal wind variability is lower in the northern zone (Paita and Chicama), than in the central-southern zone (Callao, San Juan de Marcona and Ilo), which presents greater variability. The minimum and maximum pentadal intensities to identify wind intensification and weakening events showed different ranges of variation throughout the year and location along the Peruvian coast. Depending on the season, Ilo has minima wind intensities that vary between 2.1 to 3.8 ms-1 (weakening) and maxima between 4.4 to 5.2 ms-1 (intensification); while Paita, Callao and Chicama, have minimum wind intensities that vary between 2.3 to 4.8 ms-1 (weakening) and maxima between 4.2 to 7.3 ms-1 (intensification); while San Juan de Marcona has minimal wind intensities between 3.7 to 6.6 ms-1 (weakening) and maxima between 5.6 to 9.5 ms-1 (intensification). Finally, the number of days per year of wind intensification and weakening was determined, resulting in a predominance of wind intensification events during the years 2007, 2010 and 2013, and a predominance of wind weakening events during the years 2012, 2013, 2016 and 2017.El viento frente a la costa peruana tiene influencia en los procesos físicos, químicos y biológicos marinos, tanto en las capas superficiales como sub-superficiales e impacta sobre las corrientes marinas costeras, la temperatura superficial del mar, la capa de mezcla vertical, el transporte y retención de larvas en el mar. Así mismo, tiene influencia en el acercamiento de aguas oceánicas hacia la costa y en otros casos favorece la extensión de Aguas Costeras Frías y Aguas de Mezcla frente a la costa peruana mediante el afloramiento costero. Por tanto, los eventos de intensificación y debilitamiento del viento costero tienen una fuerte repercusión sobre las condiciones ambientales y el ecosistema. En este trabajo, se utilizaron datos de vientos satelitales obtenidos a través del dispersometro ASCAT (Advanced Scatterometer) sobre la franja costera de 100 km (aproximadamente 62 millas náuticas) frente a Perú, en cinco zonas: Paita, Chicama, Callao, San Juan de Marcona e Ilo, entre el periodo del 21 de marzo del 2007 al 03 de marzo del 2019, para analizar la variabilidad intraestacional del viento y determinar, basado en el agrupamiento de cuartiles y promedios móviles, las intensidades mínimas y máximas del viento para la identificación de eventos de intensificación o debilitamiento respectivamente. Los resultados muestran que la variabilidad intraestacional del viento es menor en la zona norte (Paita y Chicama), que en la zona centro-sur (Callao, San Juan de Marcona e Ilo), que presenta una mayor variabilidad. Las intensidades mínimas y máximas pentadales para identificar eventos de intensificación y debilitamiento del viento muestran diversos rangos de variación a lo largo del año y ubicación a lo largo de la costa peruana. Dependiendo de la estación del año, Ilo presenta intensidades mínimas de viento que varían entre 2,1 a 3,8 ms-1 (debilitamiento) y máximas entre 4,4 a 5,2 ms-1 (intensificación); en cuanto que Paita, Callao y Chicama, presentan intensidades mínimas de vientos que varían entre 2,3 a 4,8 ms-1 (debilitamiento) y máximas de 4,2 a 7,3 ms-1 (intensificación); en cuanto que San Juan de Marcona presenta intensidades mínimas de vientos entre 3,7 a 6,6 ms-1 (debilitamiento) y máximas de 5,6 a 9,5 ms-1 (intensificación). Finalmente se determinó la cantidad de días de intensificación y debilitamiento del viento por año, encontrándose predominancia de eventos de intensificación de vientos durante los años 2007, 2010 y 2013, y predominancia de eventos de debilitamiento de vientos durante los años 2012, 2013, 2016 y 2017.Universidad Nacional Mayor de San Marcos2020-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/2031510.15381/rif.v23i3.20315Revista de Investigación de Física; Vol. 23 No. 3 (2020): 50th Anniversary of the EP of Mechanical Fluid Engineering; 61-65Revista de Investigación de Física; Vol. 23 Núm. 3 (2020): 50 Aniversario de la EP de Ingeniería Mecánica de Fluidos; 61-651728-29771605-7724reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20315/16662Derechos de autor 2020 David Correa, Adolfo Chamorro, Jorge Tamhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/203152021-09-26T17:20:30Z |
score |
13.95948 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).