A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023

This study investigates the long-term variability and extremes of monthly precipitation during 150 years or more at 4 locations in Argentina: Corrientes, Córdoba, Buenos Aires, and Bahía Blanca. Annual and seasonal trends, extreme dry and wet months over the whole period, and the relationships betwe...

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Autores principales: Canziani, Pablo O., Lakkis, S. Gabriela See "Lakkis, Susan Gabriela", Yuchechen, Adrian E.
Formato: Artículo
Lenguaje:Inglés
Publicado: MDPI 2025
Materias:
METEREOLOGIA
PRECIPITACIONES
Argentina
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/20818
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
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spelling I33-R139-123456789-208182025-11-01T05:01:50Z A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023 Canziani, Pablo O. Lakkis, S. Gabriela See "Lakkis, Susan Gabriela" Yuchechen, Adrian E. METEREOLOGIA PRECIPITACIONES Argentina This study investigates the long-term variability and extremes of monthly precipitation during 150 years or more at 4 locations in Argentina: Corrientes, Córdoba, Buenos Aires, and Bahía Blanca. Annual and seasonal trends, extreme dry and wet months over the whole period, and the relationships between large-scale climate drivers and monthly rainfall are considered. Results show that, except for Córdoba, the complete anomaly timeseries trend analysis for all other stations yielded null trends over the centennial study period. Considerable month-to-month variability is observed for all locations together with the existence of low-frequency decadal to interdecadal variability, both for monthly precipitation anomalies and for statistically significant excess and deficit months. Linear fits considering oceanic climate indicators as drivers of variability yield significant differences between locations, while not between full records and seasonally sampled. Issues regarding the use of linear analysis to quantify variability, the dispersion along the timeline of record extreme rainy months at each location, together with the evidence of severe daily precipitation events not necessarily coinciding with the ranking of the rainiest months at each location, highlights the challenges of understanding the drivers of variability of both monthly and severe daily precipitation and the need of using extended centennial timeseries whenever possible. 2025-10-31T16:28:30Z 2025-10-31T16:28:30Z 2025 Artículo 2073-4433 https://repositorio.uca.edu.ar/handle/123456789/20818 10.3390/atmos16080914 eng Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf MDPI Atmosphere 2025, 16 (914)
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic METEREOLOGIA
PRECIPITACIONES
Argentina
spellingShingle METEREOLOGIA
PRECIPITACIONES
Argentina
Canziani, Pablo O.
Lakkis, S. Gabriela See "Lakkis, Susan Gabriela"
Yuchechen, Adrian E.
A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
topic_facet METEREOLOGIA
PRECIPITACIONES
Argentina
description This study investigates the long-term variability and extremes of monthly precipitation during 150 years or more at 4 locations in Argentina: Corrientes, Córdoba, Buenos Aires, and Bahía Blanca. Annual and seasonal trends, extreme dry and wet months over the whole period, and the relationships between large-scale climate drivers and monthly rainfall are considered. Results show that, except for Córdoba, the complete anomaly timeseries trend analysis for all other stations yielded null trends over the centennial study period. Considerable month-to-month variability is observed for all locations together with the existence of low-frequency decadal to interdecadal variability, both for monthly precipitation anomalies and for statistically significant excess and deficit months. Linear fits considering oceanic climate indicators as drivers of variability yield significant differences between locations, while not between full records and seasonally sampled. Issues regarding the use of linear analysis to quantify variability, the dispersion along the timeline of record extreme rainy months at each location, together with the evidence of severe daily precipitation events not necessarily coinciding with the ranking of the rainiest months at each location, highlights the challenges of understanding the drivers of variability of both monthly and severe daily precipitation and the need of using extended centennial timeseries whenever possible.
format Artículo
author Canziani, Pablo O.
Lakkis, S. Gabriela See "Lakkis, Susan Gabriela"
Yuchechen, Adrian E.
author_facet Canziani, Pablo O.
Lakkis, S. Gabriela See "Lakkis, Susan Gabriela"
Yuchechen, Adrian E.
author_sort Canziani, Pablo O.
title A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
title_short A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
title_full A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
title_fullStr A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
title_full_unstemmed A Study of Monthly Precipitation Timeseries from Argentina (Corrientes, Córdoba, Buenos Aires, and Bahía Blanca) for the Period of 1860–2023
title_sort study of monthly precipitation timeseries from argentina (corrientes, córdoba, buenos aires, and bahía blanca) for the period of 1860–2023
publisher MDPI
publishDate 2025
url https://repositorio.uca.edu.ar/handle/123456789/20818
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