Variability of extreme precipitation events in the Northeastern Argentine region

Aliaga, Vanina Solange

doi:10.1007/s00704-021-03659-0

Cited by 3 publications

(3 citation statements)

References 39 publications

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“…In general, cluster analysis studies of precipitation in SA regions use hierarchical methods [78,[80][81][82]85,87,[89][90][91][92][93][94][95][96][97][98][99], given that these techniques provide satisfactory results and have a variety of clustering methods and several dissimilarity metrics to categorize the variables into homogeneous groups [91]. Considering the non-hierarchical method, the few existing studies in SA examine specific regions of the continent, such as Bolivia [79], Argentina [83], Chile [84], and Ecuador [86]. Whilst there is a scarcity of works using the non-hierarchical clustering for the whole SA, studies that employed the method in Africa [107] and Europe [108] concluded that the methodology guarantees good results and is appropriate for analyzing precipitation regimes.…”

Section: Cluster Analysismentioning

confidence: 99%

“…So, there is still a gap in the literature for redoing this work with statistical methods, such as cluster analysis. Until now, studies involving a precipitation clustering process focused only on specific regions of the continent, such as the tropical SA [78], Bolivia [79], Argentina [80][81][82][83], Chile [84], Colombia [85], Ecuador [86], Brazil [87,88], and Brazilian sectors, such as the northeast [89][90][91][92][93][94], south and southeast [95][96][97], central-west [98], and the Amazonian portion [99]. In this scenario, the present study's relevance is justified not only for identifying homogeneous rainfall regions in SA considering a recent period (1993-2016) and an objective methodology but also by evaluating the skill of last generation climate predictions provided by ECMWF for South American continent.…”

Section: Introductionmentioning

confidence: 99%

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A New Look into the South America Precipitation Regimes: Observation and Forecast

Ferreira

Reboita

2022

Atmosphere

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South America is a vast continent characterized by diverse atmospheric phenomena and climate regimes. In this context, seasonal climate predictions are helpful for decision-making in several relevant socioeconomic segments in this territory, such as agriculture and energy generation. Thus, the present work evaluates the performance of ECMWF-SEAS5 in simulating the South American precipitation regimes by applying a non-hierarchical clustering technique. In addition, the study describes the main atmospheric systems that cause precipitation in each cluster and updates a previous work performed in South America in 2010. As a result, ECMWF-SEAS5 simulates (with good correspondence) the eight climate regimes identified in the analysis of precipitation from the Climate Prediction Center (CPC). Moreover, ECMWF-SEAS5 has a satisfactory ability in representing the rainfall regime in low and medium climate predictability regions, such as central and southern South America. ECMWF-SEAS5 has good performance in the climate characterization of South America and it gives us confidence in using its seasonal climate predictions throughout the continent.

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Section: Cluster Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Look into the South America Precipitation Regimes: Observation and Forecast

Ferreira

Reboita

2022

Atmosphere

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“…Las reducidas pendientes y las dificultades para el drenado de las aguas pluviométricas hacen que toda el área sea anegadiza, con esteros y cañadas, y lentos escurrimientos, como principales rasgos distintivos (Herbst & Santa Cruz, 1999;Iriondo, 2011). El paisaje de la región es muy sensible ante variaciones en las cantidades precipitadas, generando riesgos de inundaciones y limitando el desarrollo de actividades productivas (Contreras et al, 2020;Aliaga & Piccolo, 2021). Por lo tanto, realizar un análisis de variabilidad pluviométrica resulta esencial para comprender la dinámica del agua superficial en la zona.…”

Section: Introductionunclassified

Seguimiento de la extensión areal de los humedales subtropicales del noreste de Argentina mediante la aplicación de Google Earth Engine

Smichowski

Giese²

2022

Ingeo

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El estudio sobre las fluctuaciones de los niveles de agua en los humedales como respuestas a la variabilidad pluviométrica, es el punto de partida si se pretende lograr su conservación y/o uso sustentable como recurso. En este sentido, utilizando Google Earth Engine, en este trabajo se realiza como estudio de caso un seguimiento de la variación espacio-temporal de la superficie de los humedales subtropicales en el noreste de Argentina desde 1990 hasta el 2020 en períodos quinquenales. Para ello, fueron procesadas 931 escenas de Landsat sobre las cuales se generaron máscaras de nubes, compuestos de calidad basados en índices de agua y se extrajeron las cubiertas de agua con técnicas de umbrales. Para el análisis climático, se correlacionaron datos pluviométricos directos, índices de precipitaciones y los efectos del El Niño-Oscilación del Sur. Los resultados indican con alta precisión que existe una gran diferencia entre momentos húmedos y secos, con máximos que superan el 60 % del área cubierta con agua y mínimos menores al 5 %. Se comprobó la relación directa entre los montos pluviométricos y las extensiones de agua en superficie y la elasticidad del sistema. Los resultados obtenidos se consideran muy valiosos para la gestión integral de los recursos hídricos y del riesgo.

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Summertime Extreme Precipitation Communities by Complex Network in South America

Sanchez,

Calheiros,

Vasquez

et al. 2024

Preprint

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Variability of extreme precipitation events in the Northeastern Argentine region

Cited by 3 publications

References 39 publications

A New Look into the South America Precipitation Regimes: Observation and Forecast

A New Look into the South America Precipitation Regimes: Observation and Forecast

Seguimiento de la extensión areal de los humedales subtropicales del noreste de Argentina mediante la aplicación de Google Earth Engine

Summertime Extreme Precipitation Communities by Complex Network in South America

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