Tendências sazonais e decadais no posicionamento e magnitude do Anticiclone Subtropical do Atlântico Sul para o período de 1980-2018
DOI:
https://doi.org/10.26848/rbgf.v18.05.p3377-3394Keywords:
SASH, climate trend, Mann-Kendall, Sen’s SlopeAbstract
The South Atlantic Subtropical Anticyclone (SASH) is a high-pressure system in the South Atlantic Ocean that varies in intensity and position. In recent decades, climate change has led to observed changes in meteorological systems, including subtropical anticyclones. This study aims to identify changes in the behavior of the SASH from 1980 to 2018. Geopotential data at 850 hPa by global atmospheric reanalysis ERA5 from the European Centre for Medium-Range Weather Forecasts (ECMWF) were utilized. Trends in the intensity and position of the edge and center of the SASH were analyzed using the Sen Curve and Mann-Kendall tests. The results indicated that the SASH is generally expanding and intensifying in all directions and seasons of the year. Therefore, further studies are necessary to understand how these changes in the SASH patterns might interfere with the weather and South American climate in order to mitigate potential consequences.
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Bombardi, R.J., Carvalho, L.M.V., 2017. Simple Practices in Climatological Analyses: A Review. Revista Brasileira de Meteorologia 32, 311-320. DOI: 10.1590/0102-77863230001
Coelho, C.A.S. et al. 2016. The 2014 southeast Brazil austral summer drought: regional scale mechanisms and teleconnections. Climate Dynamics 46, 3737-3752. DOI: 10.1007/s00382-015-2800-1
Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A.C.M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A.J., Haimberger, L., Healy, S.B., Hersbach, H., Hólm, E.V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A.P., Monge-Sanz, B.M., Morcrette, J.J., Park, B.K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.N., Vitart, F., 2011. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society 137, 553–597. DOI: 10.1002/qj.828
Gilliland, J. M., Keim, B. D., 2018. Position of the South Atlantic Anticyclone and Its Impact on Surface Conditions across Brazil. Journal of Applied Meteorology and Climatololgy, 57, 535–553. DOI: 10.1175/JAMC-D-17-0178.1.
Gocic, M., Trajkovic, S., 2013. Analysis of changes in meteorological variables using Mann-Kendall and Sen’s slope estimator statistical test in Serbia. Global and Planetary Change 100, 172–182. DOI: 10.1016/j.gloplacha.2012.10.014.
Gomes, L.M.J., Freitas, A.C.V., 2020. Alterações na Circulação de Hadley Regional e na Alta Subtropical do Atlântico Sul em um Cenário de Aquecimento Global. Anuário do Instituto de Geociências 43, 3. DOI: 10.11137/2020_3_227_239
He, C. et al., 2017. Responses of the summertime subtropical anticyclones to global warming. Journal of Climate 30, 6465-6479. DOI: 10.1175/JCLI-D-16-0529.1
Hersbach, H., et al., 2020. The ERA5 Global Reanalysis. Quarterly Journal of the Royal Meteorological Society. 146, 1999–2049. DOI: 10.1002/qj.3803
Liu, Y.,WU, G.; REN, R.. 2004. Relationship between the subtropical anticyclone and diabatic heating. Journal of Climate, 17, 682-698. DOI: 10.1175/1520-0442(2004)017<0682:RBTSAA>2.0.CO;2
Jain, S.K., Kumar, V., 2012. Trend analysis of rainfall and temperature data for India. Current Science 102, 37–49.
Kendall, M.G., 1975. Rank Correlation Methods, 4 ed., Charles Griffin, London.
Mächel, H., KAPALA, A.; FLOHN, H, 1998. Behaviour of the centres of action above the Atlantic since 1881. Part I: Characteristics of seasonal and interannual variability. International Journal of Climatology 18, 1-22. DOI: 10.1002/(SICI)1097-0088(199801)18:1<1::AID-JOC225>3.0.CO;2-A
Mann, H.B., 1945. Nonparametric tests against trend. Econometrica 13, 245–259. DOI: 10.2307/1907187
Reboita, M.S., et al., 2015. Anomalias dos Padrões Sinóticos da Atmosfera na América do Sul nos Meses de Janeiros de 2014 e 2015. Revista brasileira de energias renováveis 4, 4.
Reboita, M.S. et al., 2016. The causes of semi-aridity in the Northeast “Sertão”. Brazilian Journal Climatology., 19, 254-277. DOI: 10.5380/abclima.v19i0.42091
Reboita, M.S., et al., 2010. Regimes de precipitação na América do Sul: uma revisão bibliográfica. Revista brasileira de meteorologia 25, 185-204. DOI: 10.1590/S0102-77862010000200004
Reboita, M.S. et al., 2019. The South Atlantic subtropical anticyclone: present and future climate. Frontiers in Earth Science 7, 8. DOI: 10.3389/feart.2019.00008
Regoto, P., Dereczynski, C., Silva, W.L., Santos, R., Confalonieri, U., 2018. Trends in Extreme Precipitation over Espírito Santo State - Southeast Brazil. Anuário do Instituto de Geociências da UFRJ 41, 365-381. DOI: 10.11137/2018_1_365_381
Regoto, P., Dereczynski, C., Chou, S. C., Bazzanela, A. C. 2021. Observed changes in air temperature and precipitation extremes over Brazil. International Journal of Climatology 41, 5125–5142. DOI: 10.1002/joc.7119
Rodwell, M.J., Hoskins, B.J., 2001. Subtropical anticyclones and summer monsoons. Journal of Climate 14, 3192-3211. DOI: 10.1175/1520-0442(2001)014<3192:SAASM>2.0.CO;2
Seager, R. et al., 2003. Air–sea interaction and the seasonal cycle of the subtropical anticyclones. Journal of Climate, 16, 1948-1966. DOI: 10.1175/1520-0442(2003)016<1948:AIATSC>2.0.CO;2
Sen, P.K., 1968. Estimates of the Regression Coefficient based on Kendall’s Tau. Journal of American Statistics Association 63, 1379-1389. DOI: 10.1080/01621459.1968.10480934
Sun, X., et al., 2017. The South Atlantic Subtropical High: Climatology and Interannual Variability. Journal of Climate 30, 3279–3296. DOI: 10.1175/JCLI-D-16-0705.1
Wanderley, H.S., et al., 2016. Temperature and Precipitation Trends on the Antarctic Peninsula. Revista Brasileira de Meteorologia 31, 114-121. DOI: 10.1590/0102-778631220140146
Wilks, D.S., 2011. Statistical Methods in the Atmospheric Sciences, Vol. 100, Academic Press, San Diego, CA.
Zilli, M.T., Carvalho, L.M.V., Liebmann, B., Silva Dias, M.A. 2016, A comprehensive analysis of trends in extreme precipitation over southeastern coast of Brazil. International Journal of Climatology 37, 2269-2279. DOI:10.1002/joc.4840
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Copyright (c) 2025 Pedro Fioroti, Fernanda Cerqueira Vasconcellos, Renan Martins Pizzochero, Wanderson Luiz Silva, Fabrício Polifke da Silva, Renata Gonçalves Tedeschi, Claudia Klose Parise
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Conselho Nacional de Desenvolvimento Científico e Tecnológico
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Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão
Grant numbers Processo APP-09097/22
