Abstract:Here we investigate the ocean-atmosphere coupling and the contribution of the Sea Surface Temperature (SST) variations in: 1) Brazil-Malvinas Confluence (BMC) region, 2) Southwest Atlantic Ocean and 3) Southern Brazil. Numerical simulations of the ECHAM5/MPI-OM coupled ocean-atmosphere model were used to analyze the changes in the seasonal trajectory of the extratropical cyclones, in terms of intensification of physical mechanisms and implications for future scenarios. The numerical experiment for the future s… Show more
“…4). According to Freitas et al (2019), regions with strong SST gradients, for example, BMC, provide higher SHF values, which may be associated with the greater baroclinity of the atmosphere over SW-SSA, and thus favoring so that the highest values can occur during JJA period (Fig. 4).…”
Section: Discussionmentioning
confidence: 99%
“…According to Acevedo et al (2010), turbulent flux of latent and sensitive heat are one of the ways in which energy is exchanged between the ocean and the atmosphere. Therefore, their correct determination on the oceans is decisive to understand the effects of ocean-atmosphere interactions on the climate (Yu et al 2011;Pezzi et al 2005Pezzi et al , 2016Freitas et al 2019;Leyba et al 2019). The heat exchange components between ocean and atmosphere include short and long-wave radioactive fluxes, LHF, and sensible heat flux (SHF).…”
An adequate representation by models and reanalyzes is fundamental since the coverage by observational data on the oceans is still limited. Therefore, this paper aims to evaluate the influence of the wind near the surface on the heat fluxes during the southern winter and summer seasons. Datasets from Coupled Model Intercomparison Project Phase 5 (CMIP5) and reanalyzes were used, in comparison to Objectively Analyzed Air - sea Fluxes (OAFlux) for the South Atlantic Ocean (SAO) during 1980-2005. Results point out an overestimation on the CMIP5 models and reanalyzes to reproduce the heat flux latent and sensible fluxes of SAO, mainly at medium and high latitudes. One possibility may be related the underestimating of surface wind speed, causing an impacts on the heat exchange between ocean and atmosphere. It was also possible to verify that the representation of heat flux, specific humidity, and air and ocean temperatures shows small biases (Mean Bias Error (MBE) to specific humidity (±5 kg.kg-1) and sensible heat flux (±10 W.m-2)). To the test Root Mean Square Error (RMSE)-observations Standard deviation Ratio (RSR), air temperature values are less than 1 °C, and for the wind with values greater than 2 m.s-1. There is less precision of CMIP5 models than OAFlux, resulting in low correlation values (between -0.3 and 0.3). On the other hand, the reanalyzes show small biases in air and ocean temperatures (between ±1 °C) and significant correlations (above 0.9) with the best performances for the NCEP and ERA5.
“…4). According to Freitas et al (2019), regions with strong SST gradients, for example, BMC, provide higher SHF values, which may be associated with the greater baroclinity of the atmosphere over SW-SSA, and thus favoring so that the highest values can occur during JJA period (Fig. 4).…”
Section: Discussionmentioning
confidence: 99%
“…According to Acevedo et al (2010), turbulent flux of latent and sensitive heat are one of the ways in which energy is exchanged between the ocean and the atmosphere. Therefore, their correct determination on the oceans is decisive to understand the effects of ocean-atmosphere interactions on the climate (Yu et al 2011;Pezzi et al 2005Pezzi et al , 2016Freitas et al 2019;Leyba et al 2019). The heat exchange components between ocean and atmosphere include short and long-wave radioactive fluxes, LHF, and sensible heat flux (SHF).…”
An adequate representation by models and reanalyzes is fundamental since the coverage by observational data on the oceans is still limited. Therefore, this paper aims to evaluate the influence of the wind near the surface on the heat fluxes during the southern winter and summer seasons. Datasets from Coupled Model Intercomparison Project Phase 5 (CMIP5) and reanalyzes were used, in comparison to Objectively Analyzed Air - sea Fluxes (OAFlux) for the South Atlantic Ocean (SAO) during 1980-2005. Results point out an overestimation on the CMIP5 models and reanalyzes to reproduce the heat flux latent and sensible fluxes of SAO, mainly at medium and high latitudes. One possibility may be related the underestimating of surface wind speed, causing an impacts on the heat exchange between ocean and atmosphere. It was also possible to verify that the representation of heat flux, specific humidity, and air and ocean temperatures shows small biases (Mean Bias Error (MBE) to specific humidity (±5 kg.kg-1) and sensible heat flux (±10 W.m-2)). To the test Root Mean Square Error (RMSE)-observations Standard deviation Ratio (RSR), air temperature values are less than 1 °C, and for the wind with values greater than 2 m.s-1. There is less precision of CMIP5 models than OAFlux, resulting in low correlation values (between -0.3 and 0.3). On the other hand, the reanalyzes show small biases in air and ocean temperatures (between ±1 °C) and significant correlations (above 0.9) with the best performances for the NCEP and ERA5.
“…As faixas predominantes de atuação dos ciclones extratropicais, conhecidas como "Storm Tracks" (ST) desempenham um papel dominante na circulação atmosférica global. Sendo responsáveis pela redistribuição de calor entre equador e os polos, os ST exercem forte influência na radiação incidente, precipitação e cobertura de nuvens através dos processos de troca de calor, momentum e vapor d'água (Freitas et al, 2019;LAU, 1988;TING;HELD, 1990;Machado et al, 2021).…”
Section: Introductionunclassified
“…De acordo com Lehmann et al (2014), às mudanças climáticas projetadas tem grande potencial de afetar os padrões dominantes de atuação dos ST associados a mudanças no transporte de energia, momentum de vapor d'água. Freitas et al (2019), mostraram através de um experimento numérico para o cenário futuro considerando uma concentração de CO2 atmosférico de aproximadamente 770 ppm (partes por milhão) um deslocamento de Storm Tracks (ST) de 5 ° latitude em direção ao sul e mudanças do transporte meridional de calor sensível, próximo a 50 °S induzidos pelo aumento da SST intensificando a região de ST e consequentemente gerando aumento na ocorrência de ciclones extratropicais. De maneira geral, os resultados indicam mudança no padrão de ocorrência da atividade ciclogenética, com eventos menos frequentes, porém mais intensos.…”
Nesse estudo utiliza-se simulações numéricas do modelo ECHAM5/MPI-OM para identificar os padrões dominantes de energia cinética com o objetivo de explicar a gênese e manutenção das trajetórias preferenciais dos ciclones extratropicais (Storm Tracks, ST) no Hemisfério Sul, localizando suas origens e apresentando suas trajetórias preferenciais através do vetor E ⃗. Os resultados mostraram que para um cenário futuro, os ST parecem estar ligados diretamente ao fluxo de oeste, podendo-se afirmar que em um cenário futuro haverá uma intensificação desse transporte e os mesmos poderão deslocar-se mais para Sul. Dessa forma, espera-se que haja implicações nos abastecimentos de água de algumas regiões como o Sul da África, onde maior parte da população é dependente da precipitação na região. No Sul do Brasil, os resultados indicam aumentos nas chuvas durante os meses de verão, contrastando com uma diminuição na frequência dos ST e aumento na intensidade no inverno. Sugerimos que essas mudanças podem impactar a dinâmica climática do litoral sul brasileiro, com magnitude ainda desconhecida.
Earth's weather and climate are strongly influenced by synoptic scale systems such as extratropical cyclones. From this point of view, investigating the mechanisms associated with cyclogenesis, such as baroclinic instability (BI), which are defined by the thermal gradient and wind shear, are extremely important. However, atmospheric teleconnection patterns such as the El Niño-Southern Oscillation (ENSO) phenomenon may affect BI in the preferred region of extratropical cyclones, known as the storm track (ST) region. Therefore, the present study shows the impact of ENSO on BI and STs in the Southern Hemisphere. BI is determined by means of the Eady growth rate method, while the STs are calculated from the kinetic energy and by means of the meridional heat transport. In general, the results show that STs calculated from the BI and the kinetic energy show seasonal variability during ENSO events. This results in Southern Hemisphere extratropical cyclones being more intense with trajectories towards lower (higher) latitudes during El Niño (La Niña) summers. In contrast, little difference is seen in El Niño and La Niña winters. For the calculation of the meridional heat transport at 500 hPa, the Climate Forecast System Reanalysis produced weaker transport relative to ERA-Interim and previous studies.
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