Classic and innovative trend analysis of long term annual precipitation in Argentina

Autores
Llano, Maria Paula
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Studying rainfall trends is essential for anticipating the effects of climate change, as rainfall behaviour has a direct impact on many sectors and aspects of human and environmental life. This study presents the results of an investigation into precipitation variability in Argentina, using data from 49 stations across the country. Long-term rainfall trends were analysed using the Mann–Kendall (MK) test and the innovative trend analysis (ITA) method for annual rainfall series from 1959 to 2020. The ITA method demonstrated superior visual capabilities for identifying trends through graphical representations. The findings indicate an overall increase in precipitation during this period, with a mean of 2 mm year–1 and a maximum of 6 mm year–1. Specifically, the ITA method revealed more stations with significant trends otherwise obscured when using one of the traditional methods. The ITA method allows the analysis of changes in precipitation by separating them according to percentiles. The highest precipitation values (fourth quartile) show a significant, mainly positive trend at half of the stations studied, with changes of 12% on average. However, the most extreme cases of increase or decrease are found at the lowest levels (first quartile), with changes of up to 50%. In conclusion, the graphical method provides a complementary perspective for easily identifying trends alongside traditional methods.
Fil: Llano, Maria Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
ARGENTINA
CLIMATE CHANGE
GRAPHICAL METHODS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/281247

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spelling Classic and innovative trend analysis of long term annual precipitation in ArgentinaLlano, Maria PaulaARGENTINACLIMATE CHANGEGRAPHICAL METHODShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Studying rainfall trends is essential for anticipating the effects of climate change, as rainfall behaviour has a direct impact on many sectors and aspects of human and environmental life. This study presents the results of an investigation into precipitation variability in Argentina, using data from 49 stations across the country. Long-term rainfall trends were analysed using the Mann–Kendall (MK) test and the innovative trend analysis (ITA) method for annual rainfall series from 1959 to 2020. The ITA method demonstrated superior visual capabilities for identifying trends through graphical representations. The findings indicate an overall increase in precipitation during this period, with a mean of 2 mm year–1 and a maximum of 6 mm year–1. Specifically, the ITA method revealed more stations with significant trends otherwise obscured when using one of the traditional methods. The ITA method allows the analysis of changes in precipitation by separating them according to percentiles. The highest precipitation values (fourth quartile) show a significant, mainly positive trend at half of the stations studied, with changes of 12% on average. However, the most extreme cases of increase or decrease are found at the lowest levels (first quartile), with changes of up to 50%. In conclusion, the graphical method provides a complementary perspective for easily identifying trends alongside traditional methods.Fil: Llano, Maria Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCsiro Publishing2025-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/281247Llano, Maria Paula; Classic and innovative trend analysis of long term annual precipitation in Argentina; Csiro Publishing; Journal of Southern Hemisphere Earth Systems Science; 75; 3; 8-2025; 1-132206-5865CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/ES/ES24049info:eu-repo/semantics/altIdentifier/doi/10.1071/ES24049info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-26T10:24:02Zoai:ri.conicet.gov.ar:11336/281247instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-26 10:24:02.779CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Classic and innovative trend analysis of long term annual precipitation in Argentina
title Classic and innovative trend analysis of long term annual precipitation in Argentina
spellingShingle Classic and innovative trend analysis of long term annual precipitation in Argentina
Llano, Maria Paula
ARGENTINA
CLIMATE CHANGE
GRAPHICAL METHODS
title_short Classic and innovative trend analysis of long term annual precipitation in Argentina
title_full Classic and innovative trend analysis of long term annual precipitation in Argentina
title_fullStr Classic and innovative trend analysis of long term annual precipitation in Argentina
title_full_unstemmed Classic and innovative trend analysis of long term annual precipitation in Argentina
title_sort Classic and innovative trend analysis of long term annual precipitation in Argentina
dc.creator.none.fl_str_mv Llano, Maria Paula
author Llano, Maria Paula
author_facet Llano, Maria Paula
author_role author
dc.subject.none.fl_str_mv ARGENTINA
CLIMATE CHANGE
GRAPHICAL METHODS
topic ARGENTINA
CLIMATE CHANGE
GRAPHICAL METHODS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Studying rainfall trends is essential for anticipating the effects of climate change, as rainfall behaviour has a direct impact on many sectors and aspects of human and environmental life. This study presents the results of an investigation into precipitation variability in Argentina, using data from 49 stations across the country. Long-term rainfall trends were analysed using the Mann–Kendall (MK) test and the innovative trend analysis (ITA) method for annual rainfall series from 1959 to 2020. The ITA method demonstrated superior visual capabilities for identifying trends through graphical representations. The findings indicate an overall increase in precipitation during this period, with a mean of 2 mm year–1 and a maximum of 6 mm year–1. Specifically, the ITA method revealed more stations with significant trends otherwise obscured when using one of the traditional methods. The ITA method allows the analysis of changes in precipitation by separating them according to percentiles. The highest precipitation values (fourth quartile) show a significant, mainly positive trend at half of the stations studied, with changes of 12% on average. However, the most extreme cases of increase or decrease are found at the lowest levels (first quartile), with changes of up to 50%. In conclusion, the graphical method provides a complementary perspective for easily identifying trends alongside traditional methods.
Fil: Llano, Maria Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Studying rainfall trends is essential for anticipating the effects of climate change, as rainfall behaviour has a direct impact on many sectors and aspects of human and environmental life. This study presents the results of an investigation into precipitation variability in Argentina, using data from 49 stations across the country. Long-term rainfall trends were analysed using the Mann–Kendall (MK) test and the innovative trend analysis (ITA) method for annual rainfall series from 1959 to 2020. The ITA method demonstrated superior visual capabilities for identifying trends through graphical representations. The findings indicate an overall increase in precipitation during this period, with a mean of 2 mm year–1 and a maximum of 6 mm year–1. Specifically, the ITA method revealed more stations with significant trends otherwise obscured when using one of the traditional methods. The ITA method allows the analysis of changes in precipitation by separating them according to percentiles. The highest precipitation values (fourth quartile) show a significant, mainly positive trend at half of the stations studied, with changes of 12% on average. However, the most extreme cases of increase or decrease are found at the lowest levels (first quartile), with changes of up to 50%. In conclusion, the graphical method provides a complementary perspective for easily identifying trends alongside traditional methods.
publishDate 2025
dc.date.none.fl_str_mv 2025-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/281247
Llano, Maria Paula; Classic and innovative trend analysis of long term annual precipitation in Argentina; Csiro Publishing; Journal of Southern Hemisphere Earth Systems Science; 75; 3; 8-2025; 1-13
2206-5865
CONICET Digital
CONICET
url http://hdl.handle.net/11336/281247
identifier_str_mv Llano, Maria Paula; Classic and innovative trend analysis of long term annual precipitation in Argentina; Csiro Publishing; Journal of Southern Hemisphere Earth Systems Science; 75; 3; 8-2025; 1-13
2206-5865
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/ES/ES24049
info:eu-repo/semantics/altIdentifier/doi/10.1071/ES24049
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Csiro Publishing
publisher.none.fl_str_mv Csiro Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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