Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period

[EN] Northeast Mexico is well known for having dry climate; nevertheless, agriculture and livestock stand among the top economic activities of the state. For the last 24 years, Tamaulipas has been struck by numerous meteorological droughts which have caused financial losses in the country. This work...

Descripción completa

Detalles Bibliográficos
Autores: Domínguez-Meza, Víctor H., González Gutiérrez, Ignacio, Poot-Poot, Wilberth A., Ramírez Campanur, Xóchitl C.
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/224516
Acceso en línea:https://riunet.upv.es/handle/10251/224516
Access Level:acceso abierto
Palabra clave:PCI
IMERG
Mexico
Drought
SPI
ICP
Sequía meteorológica
id ES_a9082172f93b400a9ca33a2ee11d815e
oai_identifier_str oai:riunet.upv.es:10251/224516
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
Sequía meteorológica utilizando el Índice de Condición de la Precipitación en el noreste seco de México durante el período 2000-2023
title Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
spellingShingle Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
Domínguez-Meza, Víctor H.
PCI
IMERG
Mexico
Drought
SPI
ICP
Sequía meteorológica
title_short Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
title_full Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
title_fullStr Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
title_full_unstemmed Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
title_sort Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period
dc.creator.none.fl_str_mv Domínguez-Meza, Víctor H.
González Gutiérrez, Ignacio
Poot-Poot, Wilberth A.
Ramírez Campanur, Xóchitl C.
author Domínguez-Meza, Víctor H.
author_facet Domínguez-Meza, Víctor H.
González Gutiérrez, Ignacio
Poot-Poot, Wilberth A.
Ramírez Campanur, Xóchitl C.
author_role author
author2 González Gutiérrez, Ignacio
Poot-Poot, Wilberth A.
Ramírez Campanur, Xóchitl C.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv PCI
IMERG
Mexico
Drought
SPI
ICP
Sequía meteorológica
topic PCI
IMERG
Mexico
Drought
SPI
ICP
Sequía meteorológica
description [EN] Northeast Mexico is well known for having dry climate; nevertheless, agriculture and livestock stand among the top economic activities of the state. For the last 24 years, Tamaulipas has been struck by numerous meteorological droughts which have caused financial losses in the country. This work studied meteorological drought in Tamaulipas through remote sensing techniques and IMERG satellite imagery for accumulated precipitation for 2000-2023 period. Downloaded IMERG images were projected to WGS 84/ UTM14N, cropped in the shape of Tamaulipas and processed to compute the Precipitation Condition Index (PCI). As a method of validating, the Pearson Lineal Correlation was calculated for PCI results and Standardized Precipitation Index for one (SPI-1) and three (SPI-3) months. Six years are clearly identified as meteorological drought years: 2000, 2006, 2009, 2011, 2022 and 2023. Results obtained by PCI show drought events that match the dry years identified by the SPI. Furthermore, dry years are closely related to the low-activity annual tropical cyclone season in the Gulf of Mexico. PCI and SPI-1 in the northern region showed the best correlation between them (r=0.87), while the worst correlation was found between PCI and SPI-3 in the southern region (r=0.44), from which it is concluded that PCI is a meteorological drought index capable and adequate for monitoring meteorological drought in Tamaulipas and in similar weather conditions.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-05-30
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/224516
url https://riunet.upv.es/handle/10251/224516
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://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 Universitat Politècnica de València
publisher.none.fl_str_mv Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415967244681216
spelling Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 periodSequía meteorológica utilizando el Índice de Condición de la Precipitación en el noreste seco de México durante el período 2000-2023Domínguez-Meza, Víctor H.González Gutiérrez, IgnacioPoot-Poot, Wilberth A.Ramírez Campanur, Xóchitl C.PCIIMERGMexicoDroughtSPIICPSequía meteorológica[EN] Northeast Mexico is well known for having dry climate; nevertheless, agriculture and livestock stand among the top economic activities of the state. For the last 24 years, Tamaulipas has been struck by numerous meteorological droughts which have caused financial losses in the country. This work studied meteorological drought in Tamaulipas through remote sensing techniques and IMERG satellite imagery for accumulated precipitation for 2000-2023 period. Downloaded IMERG images were projected to WGS 84/ UTM14N, cropped in the shape of Tamaulipas and processed to compute the Precipitation Condition Index (PCI). As a method of validating, the Pearson Lineal Correlation was calculated for PCI results and Standardized Precipitation Index for one (SPI-1) and three (SPI-3) months. Six years are clearly identified as meteorological drought years: 2000, 2006, 2009, 2011, 2022 and 2023. Results obtained by PCI show drought events that match the dry years identified by the SPI. Furthermore, dry years are closely related to the low-activity annual tropical cyclone season in the Gulf of Mexico. PCI and SPI-1 in the northern region showed the best correlation between them (r=0.87), while the worst correlation was found between PCI and SPI-3 in the southern region (r=0.44), from which it is concluded that PCI is a meteorological drought index capable and adequate for monitoring meteorological drought in Tamaulipas and in similar weather conditions.[ES] El noreste de México se caracteriza por tener un clima seco; a pesar de ello, la agricultura y la ganadería son las principales actividades económicas del Estado. En los últimos 24 años, Tamaulipas se ha visto afectado por numerosos eventos de sequías que han resultado en pérdidas económicas en el campo. El objetivo de esta investigación fue la identificación de sequías meteorológicas utilizando técnicas de teledetección con imágenes IMERG de precipitación acumulada, para el período 2000-2023. Las imágenes descargadas fueron reproyectadas a la proyección WGS 84 / UTM 14N y utilizadas para calcular el Índice de Condición de la Precipitación (ICP). El estado de Tamaulipas para fines prácticos se dividió en tres partes al norte, al centro y al sur. Como método de validación, se correlacionaron los resultados obtenidos por el ICP con los del Índice Estandarizado de Precipitación a uno (SPI-1) y a tres (SPI-3) meses usando la correlación de Pearson. Los resultados principales muestran claramente seis años de sequía: 2000, 2006, 2009, 2011, 2022 y 2023. Los eventos de sequía obtenidos por el ICP coinciden con los años secos identificados por el SPI y con los años de menor actividad ciclónica en el Golfo de México. El ICP y el SPI-1 en la región del norte mostraron la mejor correlación lineal entre ellos (r = 0.87), mientras que la peor correlación se encontró entre el ICP y el SPI-3 en la región del sur (r = 0.44), por lo que se concluye que el ICP es un índice de sequía adecuado para el monitoreo de la sequía meteorológica en Tamaulipas y en climas similares.V.H.D.M. thanks CONAHCYT for the economic support given for the duration of the Masters’ program and to the Autonomous University of Tamaulipas for the opportunities given to present this research in conferences and publication of the paper in a scientific magazineUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-05-30journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/224516reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Compartir igual (by-nc-sa) http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2245162026-06-13T07:49:27Z
score 15.811543

Similares en LA Referencia