Seasonal Study on Changing Trends in Climatic Extremes Indicators in the Brazilian Territory

Conteúdo do artigo principal

Filipe Júnio Santos Coelho
https://orcid.org/0009-0004-8050-0255
Marconi A. Pereira
https://orcid.org/0000-0002-4292-4987
Clodoveu A. Davis Junior
https://orcid.org/0000-0002-7327-848X
Natã G. Silva
https://orcid.org/0000-0002-3065-3999
Telles T. da Silva
https://orcid.org/0000-0002-3810-8688

Resumo

This study focuses on analyzing trends in extreme climate indices in 11 different regions of Brazil on a quarterly basis, from 1961 to 2019. The aim is to identify changes in climate trends over time, particularly in terms of increasing climatic extremes, such as maximum and minimum temperature. Statistical tests were used to determine the presence of trends and the value of the changes. This study reveals that in most cities exhibited the minimum temperature recorded tends to increase in at least two quarters per year, while only a few did not show significantly increasing trends in maximum temperature. In terms of extreme temperature indices, a few regions presented statistically significant trends, such as Belém and Cuiabá, which showed a reduction in the occurrence of cold nights and hot days, respectively, across all quarters. Significant increases in the percentage of hot days and hot nights, as well as in maximum, minimum, and average temperatures across different regions, were observed. Additionally, in some seasons of the year precipitation events changed, with an increase in the concentration of rain in short periods and in the number of consecutive days without precipitation.

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COELHO, F. J. S.; PEREIRA, M. A.; DAVIS JUNIOR, C. A.; SILVA, N. G.; SILVA, T. T. da. Seasonal Study on Changing Trends in Climatic Extremes Indicators in the Brazilian Territory. Revista Brasileira de Cartografia, [S. l.], v. 75, 2023. DOI: 10.14393/rbcv75n0a-68545. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/68545. Acesso em: 28 nov. 2024.
Seção
Seção Especial "Brazilian Symposium on GeoInformatics - GEOINFO 2023"

Referências

ALENCAR, Leonidas P; MANTOVANI, Everardo C; BUFON, Vinicius B; SEDIYAMA, Gilberto C; THIERES GF SILVA, da. Variação temporal dos elementos climáticos e da ETo em Catalão, Goiás, no perıodo de 1961-2011. Revista Brasileira de Engenharia Agrıcola e Ambiental, SciELO Brasil, v. 18, p. 826–832, 2014.

AVILA-DIAZ, Alvaro; JUSTINO, Flavio; LINDEMANN, Douglas S.; RODRIGUES, Jackson M; FERREIRA, Gabriela Regina. Climatological aspects and changes in temperature and precipitation extremes in Viçosa-Minas Gerais. Anais da Academia Brasileira de Ciências, SciELO Brasil, v. 92, 2020.

CAMPOS, Thamiris Luisa de Oliveira Brandão; MOTA, Maria Aurora Santos da; SANTOS, Sergio Rodrigo Quadros dos. Eventos extremos de precipitação em Belém-PA: uma revisão de notícias históricas de jornais. Revista Ambiente Água, Instituto de Pesquisas Ambientais em Bacias Hidrográficas, v. 10, n. 1, p. 182–194, jan. 2015. ISSN 1980-993X. DOI: 10.4136/ambiagua.1433.

COELHO, F. J. S.; PEREIRA, M. A.; DAVIS JÚNIOR, C. A.; SILVA, N. G.; SILVA, T. T. Study on changing trends in climatic extremes in the Brazilian territory. SIMPÓSIO BRASILEIRO DE GEOINFORMÁTICA (GEOINFO), v. 22, 2021. Disponível em: <http://urlib.net/ibi/ 8JMKD3MGPDW34P/45U7LQS>.

DALAGNOL, Ricardo; GRAMCIANINOV, Carolina B.; CRESPO, Natália Machado; LUIZ, Rafael; CHIQUETTO, Julio Barboza; MARQUES, Márcia T. A.; NETO, Giovanni Dolif; ABREU, Rafael C. de; LI, Sihan; LOTT, Fraser C.; ANDERSON, Liana O.; SPARROW, Sarah. Extreme rainfall and its impacts in the Brazilian Minas Gerais state in January 2020: Can we blame climate change? Climate Resilience and Sustainability, v. 1, n. 1, e15, 2022. DOI: 10.1002/cli2.15. eprint: https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/cli2.15.

EASTERLING, David R; KUNKEL, Kenneth E; WEHNER, Michael F; SUN, Liqiang. Detection and attribution of climate extremes in the observed record. Weather and Climate Extremes, Elsevier, v. 11, p. 17–27, 2016.

KENDALL, Maurice G. Rank Correlation Methods. 1975. ed. [S.l.]: Charles Griffin, London, 1975.

KESSABI, Ridouane; MOHAMED, Hanchane; KRAKAUER, Nir; ABOUBI, Imane; JAAFAR, El Kassioui; ELKHAZZAN, Boucha. Annual, Seasonal, and Monthly Rainfall Trend Analysis through Non-Parametric Tests in the Sebou River Basin (SRB), Northern Morocco. Climate, v. 10, p. 170, nov. 2022. DOI: 10.3390/cli10110170.

KWIECIEN, Ola; BRAUN, Tobias; BRUNELLO, Camilla Francesca; FAULKNER, Patrick; HAUSMANN, Niklas; HELLE, Gerd; HOGGARTH, Julie A.; IONITA, Monica; JAZWA, Christopher S.; KELMELIS, Saige; MARWAN, Norbert; NAVA-FERNANDEZ, Cinthya; NEHME, Carole; OPEL, Thomas; OSTER, Jessica L.; PERŞOIU, Aurel; PETRIE, Cameron; PRUFER, Keith; SAARNI, Saija M.; WOLF, Annabel; BREITENBACH, Sebastian F.M. What we talk about when we talk about seasonality – A transdisciplinary review. Earth-Science Reviews, v. 225, p. 103843, 2022. ISSN 0012-8252. DOI: 10.1016/j.earscirev.2021.103843.

MACHADO, Carolyne B.; CAMPOS, Thamiris L. O. B.; RAFEE, Sameh A. Abou; MARTINS, Jorge A.; GRIMM, Alice M.; FREITAS, Edmilson D. de. Extreme Rainfall Events in the Macrometropolis of São Paulo: Trends and Connection with Climate Oscillations. Journal of Applied Meteorology and Climatology, American Meteorological Society, Boston MA, USA, v. 60, n. 5, p. 661–675, 2021. DOI: 10.1175/JAMC-D-20-0173.1.

MANN, Henry B. Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, JSTOR, p. 245–259, 1945.

MARENGO, José Antonio.; JONES, R.; ALVES, Lincoln M.; VALVERDE, M. C. Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system. International Journal of Climatology, v. 29, n. 15, p. 2241–2255, 2009. DOI: 10.1002/joc.1863. eprint: https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/ joc.1863.

MIRABBASI, Rasoul; AHMADI, Farshad; JHAJHARIA, Deepak. Comparison of parametric and non-parametric methods for trend identification in groundwater levels in Sirjan plain aquifer, Iran. Hydrology Research, IWA Publishing, v. 51, n. 6, p. 1455–1477, 2020.

NATIVIDADE, Ulisses Antônio; GARCIA, Sâmia Regina; TORRES, Roger Rodrigues. Tendência dos ındices de extremos climáticos observados e projetados no estado de Minas Gerais. Revista Brasileira de Meteorologia, SciELO Brasil, v. 32, p. 600–614, 2017.

NEETI, Neeti; EASTMAN, J Ronald. A contextual Mann-Kendall approach for the assessment of trend significance in image time series. Transactions in GIS, Wiley Online Library, v. 15, n. 5, p. 599–611, 2011.

NÓBREGA, Ranyére Silva; LIMA FARIAS, Rafhael Fhelipe de; SANTOS, Carlos Antonio Costa dos. Variabilidade temporal e espacial da precipitação pluviométrica em Pernambuco através de ındices de extremos climáticos. Revista Brasileira de Meteorologia, SciELO Brasil, v. 30, p. 171–180, 2015.

NUNES, Aline de Araújo; PINTO, Eber José de Andrade; BAPTISTA, Márcio Benedito. Detection of trends for extreme events of precipitation in the Metropolitan Region of Belo Horizonte through statistical methods. RBRH, Associação Brasileira de Recursos Hídricos, v. 23, e9, 2018. ISSN 2318-0331. DOI: 10.1590/2318-0331.0318170134.

PEDRON, Isabel Tamara; SILVA DIAS, Maria A. F.; PAULA DIAS, Sandra de; CARVALHO, Leila M. V.; FREITAS, Edmilson D. Trends and variability in extremes of precipitation in Curitiba – Southern Brazil. International Journal of Climatology, v. 37, n. 3, p. 1250–1264, 2017. DOI: 10.1002/joc.4773. eprint: https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4773.

PENEREIRO, Júlio César; ORLANDO, Diogo Vieira. Análises de tendências em séries temporais anuais de dados climáticos e hidrológicos na bacia do Rio Parnaıba entre os estados do Maranhão e Piauı/Brasil. Revista Geográfica Acadêmica, v. 7, n. 2, p. 5–21, 2013.

PORTELA, Maria Manuela; QUINTELA, A. C.; SANTOS, João Filipe; VAZ, C.; MARTINS, C. Tendências em séries temporais de variáveis hidrológicas. Associação Portuguesa dos Recursos Hıdricos, 2011.

REGOTO, Pedro; DERECZYNSKI, Claudine; CHOU, Sin Chan; BAZZANELA, Anna Carolina. Observed changes in air temperature and precipitation extremes over Brazil. International Journal of Climatology, v. 41, n. 11, p. 5125–5142, 2021. DOI: 10.1002/joc.7119. eprint: https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7119.

SANTOS, Vitor Oliveira; NISHIYAMA, Luiz. Tendências Hidrológicas no Alto Curso da Bacia Hidrográfica do Rio Uberaba, em Minas Gerais. Caminhos de Geografia, v. 17, n. 58, p. 205– 221, 2016.

SEN, Pranab Kumar. Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association, Taylor & Francis, v. 63, n. 324, p. 1379–1389, 1968.

VAN LOON, A. F.; TIJDEMAN, E.; WANDERS, N.; VAN LANEN, H. A. J.; TEULING, A. J.; UIJLENHOET, R. How climate seasonality modifies drought duration and deficit. Journal of Geophysical Research: Atmospheres, v. 119, n. 8, p. 4640–4656, 2014. DOI: 10.1002/2013 JD020383. eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2013JD020383.

YUE, Sheng; PILON, Paul; CAVADIAS, George. Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of Hydrology, Elsevier, v. 259, n. 1-4, p. 254–271, 2002.

ZHANG, Wei; YAN, Yixin; ZHENG, Jinhai; LI, Ling; DONG, Xue; CAI, Huijuan. Temporal and spatial variability of annual extreme water level in the Pearl River Delta region, China. Global and Planetary Change, Elsevier, v. 69, n. 1-2, p. 35–47, 2009.

ZHANG, Xuebin; YANG, Feng. RClimDex (1.0) user manual. Climate Research Branch Environment Canada, v. 22, 2004. Disponível em: <https://acmad.net/rcc/procedure/RClimDexUserManual. pdf>.