Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)

Precipitation patterns associated with monthly mean discharge extremes in the main rivers of Corrientes Province, Argentina (1980-2022), were characterized. Monthly mean discharge data from six gauging stations were used to identify cases where the monthly mean discharge was below the 5th percentile...

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Detalles Bibliográficos
Autor principal: Blanco, Pedro
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Geografía (IGUNNE) 2024
Materias:
Streamflow
Gauging stations
Paraná River
ERA5
Excesses and deficits
Caudal
Estaciones de aforo
Río Paraná
Excesos y déficit
Acceso en línea:https://revistas.unne.edu.ar/index.php/geo/article/view/7655
Aporte de:
Revistas UNNE - Universidad Nacional del Noroeste (UNNE) de Universidad Nacional del Nordeste
id I48-R154-article-7655
record_format ojs
spelling I48-R154-article-76552025-03-21T11:10:48Z Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina) Patrones de Precipitación asociados a Extremos de Caudal Medio Mensual en la Provincia de Corrientes (Argentina) Blanco, Pedro Streamflow Gauging stations Paraná River ERA5 Excesses and deficits Caudal Estaciones de aforo Río Paraná ERA5 Excesos y déficit Precipitation patterns associated with monthly mean discharge extremes in the main rivers of Corrientes Province, Argentina (1980-2022), were characterized. Monthly mean discharge data from six gauging stations were used to identify cases where the monthly mean discharge was below the 5th percentile (P05) or above the 95th percentile (P95), defining the extremes based on the “peaks over threshold” criterion. These extremes were classified by their geographical extent as localized, intermediate, and generalized extremes. Using monthly precipitation data from the ERA5 Reanalysis, anomaly fields were calculated, and similar patterns were grouped with the k-means algorithm. Four precipitation patterns were identified for localized extremes, three for intermediate extremes, and two for generalized extremes. Discharges below P05 are associated with negative precipitation anomalies, while discharges above P95 are linked to positive anomalies. However, this relationship is not linear due to local factors. Se caracterizan los patrones de precipitación asociados a extremos de caudal medio mensual en los principales ríos de la Provincia de Corrientes, Argentina (1980-2022). Se utilizaron datos mensuales de caudal medio de seis estaciones de aforo para identificar casos donde el caudal medio fue inferior al percentil 5 (P05) o superior al percentil 95 (P95), definiendo los extremos mediante el criterio de ‘picos sobre un umbral’. Estos extremos se clasificaron según su alcance geográfico en localizados, intermedios y generalizados. Con la precipitación mensual del Reanálisis ERA5, se elaboraron campos de anomalías y se agruparon patrones similares mediante el algoritmo de k-means. Se detectaron cuatro patrones de precipitación para los extremos localizados, tres para los intermedios y dos para los generalizados. Los caudales inferiores al P05 se relacionan con anomalías pluviométricas negativas y los caudales superiores al P95 con anomalías positivas, aunque esta relación no es lineal debido a factores locales. Instituto de Geografía (IGUNNE) 2024-12-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html text/xml application/zip https://revistas.unne.edu.ar/index.php/geo/article/view/7655 10.30972/geo.21427655 Geográfica digital; Vol. 21 Núm. 42 (2024): Dossier: “Explotación e industrialización forestal, actividades agropecuarias sobre tierras de desmonte y sus implicaciones económicas, sociales y ambientales”.; 133-156 1668-5180 spa https://revistas.unne.edu.ar/index.php/geo/article/view/7655/7576 https://revistas.unne.edu.ar/index.php/geo/article/view/7655/7716 https://revistas.unne.edu.ar/index.php/geo/article/view/7655/7722 https://revistas.unne.edu.ar/index.php/geo/article/view/7655/7715 Derechos de autor 2024 Geográfica digital http://creativecommons.org/licenses/by-nc/4.0
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-154
container_title_str Revistas UNNE - Universidad Nacional del Noroeste (UNNE)
language Español
format Artículo revista
topic Streamflow
Gauging stations
Paraná River
ERA5
Excesses and deficits
Caudal
Estaciones de aforo
Río Paraná
ERA5
Excesos y déficit
spellingShingle Streamflow
Gauging stations
Paraná River
ERA5
Excesses and deficits
Caudal
Estaciones de aforo
Río Paraná
ERA5
Excesos y déficit
Blanco, Pedro
Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
topic_facet Streamflow
Gauging stations
Paraná River
ERA5
Excesses and deficits
Caudal
Estaciones de aforo
Río Paraná
ERA5
Excesos y déficit
author Blanco, Pedro
author_facet Blanco, Pedro
author_sort Blanco, Pedro
title Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
title_short Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
title_full Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
title_fullStr Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
title_full_unstemmed Precipitation Patterns Associated with Monthly Mean Discharge Extremes in Corrientes Province (Argentina)
title_sort precipitation patterns associated with monthly mean discharge extremes in corrientes province (argentina)
description Precipitation patterns associated with monthly mean discharge extremes in the main rivers of Corrientes Province, Argentina (1980-2022), were characterized. Monthly mean discharge data from six gauging stations were used to identify cases where the monthly mean discharge was below the 5th percentile (P05) or above the 95th percentile (P95), defining the extremes based on the “peaks over threshold” criterion. These extremes were classified by their geographical extent as localized, intermediate, and generalized extremes. Using monthly precipitation data from the ERA5 Reanalysis, anomaly fields were calculated, and similar patterns were grouped with the k-means algorithm. Four precipitation patterns were identified for localized extremes, three for intermediate extremes, and two for generalized extremes. Discharges below P05 are associated with negative precipitation anomalies, while discharges above P95 are linked to positive anomalies. However, this relationship is not linear due to local factors.
publisher Instituto de Geografía (IGUNNE)
publishDate 2024
url https://revistas.unne.edu.ar/index.php/geo/article/view/7655
work_keys_str_mv AT blancopedro precipitationpatternsassociatedwithmonthlymeandischargeextremesincorrientesprovinceargentina
AT blancopedro patronesdeprecipitacionasociadosaextremosdecaudalmediomensualenlaprovinciadecorrientesargentina
first_indexed 2025-05-17T05:10:51Z
last_indexed 2025-05-17T05:10:51Z
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