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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/281247
Ver los metadatos del registro completo
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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. |
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2025 |
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2025-08 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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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 |
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http://hdl.handle.net/11336/281247 |
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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 |
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eng |
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eng |
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