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Thunderstorms are anticipated to occur separately in Cananea this coming Sunday, the 31st of this month

Camanias anticipated temperature fluctuations, ranging from 17 degrees Celsius to 25 degrees Celsius.

anticipates a Sunday (31st) of individual thunderstorms in Cananea
anticipates a Sunday (31st) of individual thunderstorms in Cananea

Thunderstorms are anticipated to occur separately in Cananea this coming Sunday, the 31st of this month

Cananéia, a beautiful city in Brazil, is set to experience a mix of weather conditions over the next few days, according to the latest forecast from the National Meteorological Institute (INMET).

On Sunday, September 2, 2025, Cananéia can expect a high probability of rapid rain throughout the day. The minimum temperature will be 17°C in the early morning, and the maximum temperature will reach 25°C in the morning and afternoon. The temperature will remain stable at 17°C in the evening. Unfortunately, the wind direction and intensity data for Sunday are not provided.

Moving on to Monday, September 3, 2025, humidity will be high in the morning, and the weather will be overcast in the afternoon and evening. Temperatures will vary between 17°C and 24°C. Relative humidity in Cananéia will reach 100% in the morning and drop to 60% in the afternoon, but the wind direction and intensity data for Monday are not provided. The probability of rapid rain throughout the day on Monday was not mentioned in the current paragraph. Winds in Cananéia on Monday will be predominantly weak, blowing from the east to the southeast throughout the day. Sunrise in Cananéia on Monday will be at 06:27, and sunset will occur at 18:01.

As for Tuesday, September 4, 2025, temperatures in Cananéia will range from 15°C to 35°C, with overcast skies and drizzle. There is no specific information about the maximum temperature on Thursday, September 4, 2025, in the search results.

On Wednesday, September 5, 2025, temperatures in Cananéia will range from 16°C to 31°C, with pleasant weather.

This weather report was produced automatically with data provided by the National Meteorological Institute (INMET).

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