Trends of rainfall and temperature in Northeast Brazil

Abstract

For climate change scenarios, there is a high degree of complexity, with impacts on the future availability of water resources. In this context, studies related to changes in rainfall time series are essential in order to identify environmental vulnerability. The objective of this study was to analyze trends in the rainfall regime, number of rainy days and temperature for stations located at different continentality and altitude conditions in Northeast Brazil. Meteorological data of the Instituto Nacional de Meteorologia were used, being classified according to the location in relation to the continent: coastal strip (14 stations), strip of 150-300 km up to 300 m altitude (14 stations) and above 300 m (five stations), between 400 and 600 km from the coast up to 300 m (four stations) and above 300 m (eight stations). All the 45 stations used have a historical series with a data period of more than 30 years. The trend of rainfall and rainy days was obtained through the Mann-Kendall and regression analyses, at significance levels of 0.01 and 0.05, respectively. There were trends of reduction in the number of rainy days, in the coastal strip, as well as reduction in rainfall and rainy days, both in the strip of 150-300 km from the coast and in the Sertão region, with no significant effect of continentality in the strip of 400-600 km from the coast. For temperature, except for Maceió, AL, Brazil, there is a trend of increase in near future.

Análise Temporal da Chuva e Balanço Hídrico Climatológico para o Município de Chimoio, Moçambique

“…Quatro extremos negativos de DPP foram observados nos anos de 1990 a 1992, 2002 a 2006, 2008 a 2012 e 2015 a 2016, enquanto o maior DPP positivo foi observado nos anos de 1996 a 2001. A distribuição dos eventos de chuvas é condicionada por fatores estáticos, como a latitude, a distância do oceano e os efeitos orográficos, além dos fatores dinâmicos, como a movimentação das massas de ar (Montebeller, 2007;Carvalho et al, 2020). Figura 2.…”

Identification and seasonality of rhinovirus and respiratory syncytial virus in asthmatic children in tropical climate

“…In the state of Maranhão, Brazil, the climate presents two well-established periods, the rainy season (months from January to June) and the dry season (months from July to August), which were defined according to weather studies by Silva et al (2019) [ 16 ]. The data of meteorological parameters, including maximum daily, average and minimum temperature (°C), wind speed (km/h), relative humidity (%) and precipitation [ 17 ] were obtained from the National Meteorological Institute (INMET) between April 2018 and March 2019, the same period as the systematic collection of samples from patients in the study.…”

Mortality Risk from Respiratory Diseases Due to Non-Optimal Temperature among Brazilian Elderlies

“…Modeling studies related to Brazilian projections of the Eta-HadGEM2S Regional Model show that an increase in average temperatures of 1.5 °C has already taken place in Brazil since the end of 2010 [ 15 ]. Over the past decade, Brazil has experienced and continues to be impacted by extreme climate events such as droughts in the southeast, northeast, and northern regions, particularly in the Amazon [ 16 , 17 ]. Additionally, in the south and southeast regions, global warming has affected the average daily temperature and the daily amplitude and few studies have been conducted in Brazil to evaluate the effects of rising temperatures on human health [ 18 , 19 ].…”