
Sandra BarreiraArgentine Naval Hydrographic Service, Buenos Aires, Argentina · Meteorology
Sandra Barreira
Dr. in Atmospheric and Ocean Sciences
About
55
Publications
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Introduction
Additional affiliations
January 2014 - present
Argentine Naval Hydrographic Service, Buenos Aires, Argentina
Position
- Managing Director
November 2007 - December 2013
Argentine Naval Hydrographic Service, Buenos Aires, Argentina
Position
- Principal Investigator
April 1995 - October 2007
Argentine Naval Hydrographic Service, Buenos Aires, Argentina
Position
- Associated Scientific Researcher
Publications
Publications (55)
1. Metodología empleada Para realizar el pronóstico se emplean varias técnicas de machine learning como ser redes neuronales y análisis de componentes principales con aprendizaje supervisado. Las mismas se aplican sobre los campos espaciales de hielo marino, temperatura y presión. Este trabajo deriva de un trabajo de investigación donde se analizar...
1. Metodología empleada Para realizar el pronóstico se emplean varias técnicas de machine learning como ser redes neuronales y análisis de componentes principales con aprendizaje supervisado. Las mismas se aplican sobre los campos espaciales de hielo marino, temperatura y presión. Este trabajo deriva de un trabajo de investigación donde se analizar...
1. Metodología empleada Para realizar el pronóstico se emplean varias técnicas de machine learning como ser redes neuronales y análisis de componentes principales con aprendizaje supervisado. Las mismas se aplican sobre los campos espaciales de hielo marino, temperatura y presión. Este trabajo deriva de un trabajo de investigación donde se analizar...
1. Metodología empleada Para realizar el pronóstico se emplean varias técnicas de machine learning como ser redes neuronales y análisis de componentes principales con aprendizaje supervisado. Las mismas se aplican sobre los campos espaciales de hielo marino, temperatura y presión. Este trabajo deriva de un trabajo de investigación donde se analizar...
1. Metodología empleada Para realizar el pronóstico se emplean varias técnicas de machine learning como ser redes neuronales y análisis de componentes principales con aprendizaje supervisado. Las mismas se aplican sobre los campos espaciales de hielo marino, temperatura y presión. Este trabajo deriva de un trabajo de investigación donde se analizar...
1. Metodología empleada Con el objeto de brindar un pronóstico del campo de hielo marino (HM) se ha realizado un trabajo de investigación que consideró más de 38 años de imágenes satelitáles de hielo marino antártico para confeccionar una base de anomalías de concentración de HM y su variabilidad temporal y espacial. Para ello se trabajó con compon...
1. Metodología empleada Con el objeto de brindar un pronóstico del campo de hielo marino (HM) se ha realizado un trabajo de investigación que consideró más de 37 años de imágenes satelitáles de hielo marino antártico para confeccionar una base de anomalías de concentración de HM y su variabilidad temporal y espacial. Para ello se trabajó con compon...
The Southern Ocean plays a central role in the Earth System by connecting the Earth’s ocean
basins, and it is a crucial link between the deep ocean, surface ocean and atmosphere. Hence,
the ongoing changes in the Southern Ocean impact global climate, rates of sea level rise,
biogeochemical cycles and ecological systems. Yet, understanding of the ca...
In 2017, the dominant greenhouse gases released into Earth's atmosphere-carbon dioxide, methane, and nitrous oxide-reached new record highs. The annual global average carbon dioxide concentration at Earth's surface for 2017 was 405.0 ± 0.1 ppm, 2.2 ppm greater than for 2016 and the highest in the modern atmospheric measurement record and in ice cor...
Ch 7. Regional Climates: f. Europe and the Middle East
Este artigo examina as relações temporais entre a série de razão de isótopos estáveis de oxigênio (δ18O), obtida de um testemunho de gelo do Nevado Illimani, Bolívia (16°37’S, 67°46’W), com séries da precipitação sobre a América do Sul. Utilizou-se dados de δ18O dos primeiros 50 m desse testemunho e os totais mensais de precipitação coletados em 89...
Esse artigo analisa as relações entre a série temporal da razão isotópica do oxigênio dezoito (δ18O) mensurada no testemunho de gelo do Nevado Illimani (Bolívia; 16°37’S, 67°46’W) com a distribuição espacial da precipitação na América do Sul. Foram utilizados dados dos primeiros 50 m do testemunho de gelo e 360 campos espaciais da precipitação obse...
Este artigo discute os principais padrões médios e anômalos da precipitação sobre a América do Sul no período 1979–2008. Para isso foram manipulados dados mensais da precipitação observada em 890 estações meteorológicas localizadas na Argentina, Bolívia, Brasil, Paraguai e Uruguai ao longo desse período de trinta anos. As médias climáticas foram su...
Este artigo discute os principais padrões médios e anômalos da precipitação sobre a América do Sul no período 1979–2008. Para isso foram manipulados dados mensais da precipitação observada em 890 estações meteorológicas localizadas na Argentina, Bolívia, Brasil, Paraguai e Uruguai ao longo desse período de trinta anos. As médias climáticas foram su...
This article examines the temporal relations between the oxygen stable isotopes ratio (δ18O) in an ice core from the Nevado Illimani, Bolivia (16°37‘S, 67°46‘W), with precipitation series from South America. We used δ18O data from the upper 50 m of this core and precipitation monthly totals collected at 890 weather stations in South America in the...
This paper examines the relationship between an oxygen 18 isotopic ratio (δ18O) time series measured in an ice core from Nevado Illimani (Bolivia, 16°37’S, 6°46’W) with the precipitation spatial distribution in South America. For this, we use paleoclimatic data of the upper 50 m of the ice core and 360 layers of instrumental precipitation data betw...
Forecast of Antarctic sea ice for January-March 2013. Verification after summer campaign. Description of methodology part 6
Forescast of Antarctic sea ice for January-March 2014. Verification after summer campaign. Description of methodology part 6
Forescast of Antarctic sea ice for January-March 2013. Verification after summer campaign. Description of methodology part 5
Forecast of Antarctic sea ice for January-March 2012. Verification after summer campaign. Description of methodology part 4
Forecast of Antarctic sea ice for January-March 2011. Verification of the results after the campaign. Description of methodology part 3
Forecast of Antarctic sea ice for January-March 2010 and its verification after the summer campaign. Description of the methodology part 2
Forecast of sea ice for January-March 2009 and its verification at the end of the summer campaign. Explanation of the methodology part 1.
Forecast of sea ice for January-March 2009 and its verification. Description of the methodology used part 1
For the first time in serveral years, the El Nino-Southern Oscillation did not dominate regional climate conditions around the globe. A weak La Ni a dissipated to ENSOneutral conditions by spring, and while El Nino appeared to be emerging during summer, this phase never fully developed as sea surface temperatures in the eastern conditions. Neverthe...
Large-scale climate patterns influenced temperature and weather patterns around the globe in 2011. In particular, a moderate-to-strong La Nina at the beginning of the year dissipated during boreal spring but reemerged during fall. The phenomenon contributed to historical droughts in East Africa, the southern United States, and northern Mexico, as w...
Several large-scale climate patterns influenced climate conditions and weather patterns across the globe during 2010. The transition from a warm El Niño phase at the beginning of the year to a cool La Niña phase by July contributed to many notable events, ranging from record wetness across much of Australia to historically low Eastern Pacific basin...
Several large-scale climate patterns influenced climate conditions and weather patterns across the globe during 2010. The transition from a warm El Nino phase at the beginning of the year to a cool La Nina phase by July contributed to many notable events, ranging from record wetness across much of Australia to historically low Eastern Pacific basin...
Summer-autumn monthly sea-ice concentration anomaly (SICA) fields in Antarctica obtained from satellite data for the period 1979-2009 were analysed with Varimax-rotated T-mode principal component analysis (PCA). The first three PCA scores described the SICA spatial behaviour and explained 38.07% of the total variance. The related atmospheric circul...
Several large-scale climate patterns influenced climate conditions and weather patterns across the globe during 2010. The transition from a warm El Nino phase at the beginning of the year to a cool La Nina phase by July contributed to many notable events, ranging from record wetness across much of Australia to historically low Eastern Pacific basin...
En el presente trabajo se han obtenido los patrones espaciales más frecuentes de los campos de anomalías de concentración de hielo marino (ACHM) en los mares de Amundsen, Bellingshausen y Weddell a partir de los valores medios mensuales de concentración de hielo marino provistos por la NASA Goddard Space Flight Center derivados del Scanning Multich...
Sea ice is an important, highly variable feature of the Earth's surface, both reflecting and influencing climatic conditions. Sea ice covers approximately 7 percent of the world oceans, significantly reduces the amount of solar radiation absorbed at the Earth's surface, greatly restricts the transfer of heat from the ocean to the atmosphere in wint...
Recently, different authors have suggested that the dominant interannual
variance structure in the Antarctic sea ice fields is related to ENSO
(El Niño-Southern Oscillation) phenomenon. Furthermore, tropical
climatic variability was linked to a high latitude climate mode that is
characterized by a dipole pattern reflecting an inverse relationship
b...
In this paper, the analysis of the impact of the parameterization of physical processes in the SMARA (Servicio Meteorológico de la Armada de la República Argentina) quasi-geostrophic five-level model is presented for 1–10 January 1988 and 1–10 July 1988. The physics of the model concentrates on three general areas: frictional dissipation, diabatic...
RESUMEN Se analizan mediante análisis de componentes principales (CPs) los campos espaciales de anomalías mensuales de concentración de hielo marino (ACHM) en el sector de Antártico entre 0º y 120º oeste para 1979-2000. Se analizan las CPs que describen las características de verano y otoño. La relación entre los tipos espaciales de ACHM y la circu...
Projects
Projects (2)