Decade floatings and its comparison with the minimum temperature average in amparo de São Francisco, Sergipe – Brazil
DOI:
https://doi.org/10.33448/rsd-v10i2.12334Keywords:
Climatic condition; Thermal indices; Temporal characterization.Abstract
In the last few decades, climate change and its consequences for humanity, has been one of the major concerns of scientists worldwide. The objective is to analyze the decadal variability using the time series of the minimum temperature 1963-1972; 1973-1982; 1983-1992; 1993-2002; 2003-2012 and 2013-2020 and compared with the historical average of 1960-2018. The thermal data estimated by the Estima_T software for 1963-2020 were used, followed by their decaying calculations for the decades already described, followed by the annual distribution, anomaly and their annual percentage. The minimum temperature of the study area shows changes in its oscillations in the early morning period, leaving the weather more unstable and warmed by the dawn in the last decade. The fluctuations in the minimum air temperature result from the synoptic systems operating at the time of the rainy and dry periods, as well as from the impacts on the environment, and these fluctuations may be related to the factors causing and / or inhibiting the interregional pliviometric indices. The thermal anomalies recorded in the first decades were due to natural factors, over the decades the effect of urbanization and interiorization was notorious, intensifying the effect of anomalies due to anthropic effects.
References
Alvares, C. A., Stape, J. L., Sentelhas, P. C., Gonçalves, J. L. M., & Sparovek, G. (2014). Köppen's climate classification map for Brazil. Meteorologische Zeitschrift 22(1): 711–28.
Barbarisi, B. F., Pilau, F. G., Marin, F. R., Assad, E. D., & Pinto, H. S. (2006). Estimativa da temperatura do ar para os Estados de Mato Grosso do Sul, Mato Grosso, Goiás e Tocantins a partir do uso de imagens de radar. In: Congresso Brasileiro de Meteorologia, 14, 2006, Florianópolis,
Bettolli, P. O. (2018). Statistical downscaling of daily precipitation and temperatures in southern La Plata Basin. International Journal of Climatology, 38, 3705– 3722.
Braga, S. E., França, M. V., Rolim Neto, F. C., & Medeiros, R. M. (2019). Variabilidade decadal da precipitação e temperatura mínima do Ar em São Bento do Una - PE, Brasil. Terra - Mudanças Climáticas e Biodiversidade.E-Book. Editora Barlavep.725-739. V.1.
Byrne, M., & O’gorman, P. (2018). Trends in continental temperature and humidity directly linked to ocean warming. Proceedings of the National Academy of Sciences of the United States of America 19, 4863-4868.
Cavalcanti, E. P., Silva, V. P. R., & Sousa, F. A. S. (2006). Programa computacional para a estimativa da temperatura do ar para a região Nordeste do Brasil. Revista Brasileira de Engenharia Agrícola e Ambiental, 10 (1), 140-147.
Cavalcanti, E. P., S& ilva, E. D. V. (1994). Estimativa da temperatura do ar em função das coordenadas locais. In: Congresso Brasileiro de Meteorologia, 8, 1994. Belo Horizonte, Anais..Belo Horizonte: SBMET, 1, 154-157.
Coelho, C., Oliveira, C., Ambrizzi, T., Reboita, M., Carpenedo, C., Campos, J., Tomaziello, A., Pampuch, L., Custódio, M., Dutra, L., Rocha, R., & Rehbein, A. (2016). The 2014 southeast Brazil austral summer drought: regional scale mechanisms and teleconnections. Climate Dynamics 46, 3737-3752.
Collins, J., Chaves, R., & Marques, V. (2009). Temperature Variability over South America. Journal of Climate 22, 5854-5869.
Cordeiro, A., Berlato, M., Fontana, D., & Alves, R. (2016). Tendências climáticas das temperaturas do ar no Rio Grande do Sul, Sul do Brasil. Revista Brasileira de Geografia Física 9, 868-880.
Correia, M. F., Silva, F. S., Silva, A. M. R. S., Santos, E. P., & Moura, M. S. B. Impacto da expansão agrícola na amplitude térmica diária em ambiente semiárido. Ciência e Natura, v.Suplementar, .311–314, 2011.
Detzer, J., Loikith, P., Pampuch, L., Mechoso, C., Barkhordarian, A., & Lee, H, (2019). Characterizing monthly temperature variability states and associated meteorology across southern South America. International Journal of Climatology 40, 492-508, https://doi.org/10.1002/joc.6224.
Feitoza, L., Scárdua, J., Sediyama, G., & Valle, S. (1980). Estimativas das temperaturas médias das máximas mensais e anual do Estado do Espírito Santo. Revista do Centro Ciências Rurais, Santa Maria, 10, 25-32.
IPCC. (2014). Intergovernmental Panel on Climate Change. Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Disponível: 2014.
IPCC. Climate Change (2013): The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5)(Cambridge Univ Press, New York), p. 1535.
IPCC. Intergovernmental Panel on Climate Change. Climate Change 2007: Working Group I: The Physical Science Basis (Summary for Policymakers). Cambridge. 2007. Disponível: GS.
Kayano, M., Andreoli, R., Souza, R., & Garcia, S. (2017). Spatiotemporal variability modes of surface air temperature in South America during the 1951–2010 period: ENSO and non-ENSO components. International Journal Of Climatology 37, 10.1002/joc.4972.
Köppen, W. (1931). Grundriss der Klimakunde: Outline of climate science. Berlin: Walter de Gruyter. P.388.
Köppen, W., Geiger, R, (1928). Klimate der Erde. Gotha: Verlag Justus Perthes. Wall-map 150 x 200cm.
Lopart, M., Reboita, M., Coppola, E., Giorgi, F., Rocha, R., & Souza, D. (2018). Land Use Change over the Amazon Forest and Its Impact on the Local Climate. Water 10. 10.3390/w10020149.
Machado, T. S., Neves, S. M. A. S., Seabra, Jr, S., & Neves, R. J. (2017). Zoneamento agroclimático do melão na região sudoeste de Mato Grosso. Revista Brasileira de Climatologia. 13(20).
Marengo, J. A. (2015). Mudanças climáticas e eventos extremos no Brasil. http://www.fbds.org.br/cop15/FBDS_MudancasClimaticas.pdf. Acessado 2020. v1.p.125.
Marengo, J. A., & Camargo, C. C, (2008). Surface air temperature trends in Southern Brazil for 1960 - 2002. International Journal of Climatology. 28, 893-904.
Matos, R. M., Medeiros, R. M., Silva, P. F., & Saboya, L. M. F. Flutuabilidade da temperatura média do ar anual, máximos e mínimos absolutos no município de Barbalha – CE, Brasil. Congresso Técnico Científico da Engenharia e da Agronomia, CONTECC, 2015 Centro de Eventos do Ceará - Fortaleza - CE 15 a 18 de setembro de 2015. 2015.
Medeiros, R. M., Kozmhinsky, M., Holanda, R. M., & Silva, V. P. Temperatura média do ar e suas flutuações no Estado de Pernambuco, Brasil. Revista Brasileira de Meio Ambiente, 2(1). 081-093, 2018.
Medeiros, R. M. (2017). Amplitudes térmicas e sua oscilação mensal na grande metrópole Recife-PE, Brasil. Revista Paisagens & Geografias. 2(1), 31-45.
Medeiros, R. M., & Cavalcanti, E.P. (2020a). Tendência climática das temperaturas do ar no município de Bom Jesus do Piauí, Brasil. Research, Society and Development, 9(7):1-23, e315973882.
Medeiros, R. M., Holanda, R. M., França, M. V., Filho, M. C., Piscoya, V. C., Cunha, AL.X.; Moreira, G. R., Freitas, J. F., & Araújo Filho, R. N. (2020). Floating of the Average Temperature in the Area of Mata Pernambucana, Brazil. Ijsrm.Human, 2020; 15 (3), 63-83.
Medeiros, R. M. (2020b). Estudo agroclimatológicos do Estado do Sergipe. p. 137.
Montroull, N., Saurral, R., & Camilloni, I. (2018). Hydrological impacts in La Plata basin under 1.5, 2 and 3 °C global warming above the preindustrial level. International Journal of Climatology 38, 3355-3368.
Nogueira, V. F. B., Correia, M. F., & Nogueira, V. S. Impacto do Plantio de Soja e do Oceano Pacífico Equatorial na Precipitação e Temperatura na Cidade de Chapadinha - MA. Revista Brasileira de Geografia Física, 5, 708 –724. 2012.
Oliveira, P., Santos, S. M., & Lima, K. (2017). Climatology and trend analysis of extreme precipitation in subregions of Northeast Brazil. Theoretical and Applied Climatology 130, 77-90.
Oliveira Neto, S. N., Reis, R. G., Reis, M. G. F. & Leite, H. G. (2000). Estimativa de temperaturas para o território brasileiro localizado entre 16 e 24º latitude Sul e 48º e 60º longitude Oeste. In: Congresso Brasileiro de Meteorologia, 11, 2000, Rio de Janeiro-RJ, 926-931.
Reguero, B., Losada, I., & Méndez, F. (2019). A recent increase in global wave power as a consequence of oceanic warming. Nature Communications 10: https://doi.org/10.1038/s41467-018-08066-0.
Radons, S. Z., Heldwein, A. B., Loose, L. H., Bortoluzzi, M. P., Brand, S. I., & EngerS, L. B. O. (2019). Modeling hourly air temperature based on internationally agreed times and the daily minimum temperature. Revista Brasileira de Engenharia Agrícola e Ambiental, 23, 807-811. https://doi.org/10.1590/1807-1929/agriambi. V.23.
Sediyama, G., & Melo Júnior, J. (1998). Modelos para estimativa das temperaturas normais mensais médias, máximas, mínimas e anual no estado de minas gerais. Engenharia na Agricultura, Viçosa, MG, 6, 57-61.
Smith, T., Reynolds, R., Peterson, T., & Lawrimore, J. (2008). Improvements to NOAA’s historical merged land-ocean surface temperature analysis (1880-2006). Journal of Climate 21, 2283-2296, 10.1175/JCLI2100.1.
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Copyright (c) 2021 Manoel Vieira de França; Romildo Morant de Holanda; Raimundo Mainar de Medeiros; Luciano Marcelo Fallé Saboya; Wagner Rodolfo de Araújo; Fernando Cartaxo Rolim Neto
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