Piracicaba Records Coldest Morning of 2026 at 4.8°C
Piracicaba, São Paulo, experienced its coldest morning of 2026 on Wednesday, July 15th, with temperatures dropping to a low of 4.8°C. This record was officially registered by the meteorological station of the Integrated Center for Agrometeorological Information (Ciiagro), surpassing previous records from May 2026 which hovered between 5°C and 6°C. Another station, operated by the National Institute of Meteorology (Inmet), recorded a minimum of 6.2°C, with the year's lowest at that station being 5.3°C on May 12, 2026. Data from the Esalq-USP's Biosystems Engineering Department (LEB) station indicated a low of 6.4°C around 7 AM on the same Wednesday. Average temperatures in Piracicaba last week ranged between 14°C and 18°C. Looking ahead, temperatures are not expected to exceed 25°C on Wednesday, with minimums gradually rising but remaining below 14°C through the weekend. This cold snap follows a period of dry, cold air influx, typical of winter, and comes after Piracicaba experienced its rainiest June in a decade. The region, including Piracicaba, is also under an alert for low air humidity issued by Inmet, lasting from Monday to Wednesday. Winter typically sees reduced rainfall, leading to drier air, a phenomenon explained by meteorologists who note that warmer temperatures can hold more water vapor than colder ones.
This report details a significant temperature drop in Piracicaba, Brazil, marking the coldest morning of 2026. The event highlights the seasonal shift into winter, characterized by cold air masses and reduced humidity, which can impact public health and agriculture. The data collection from multiple meteorological stations, including Ciiagro, Inmet, and Esalq-USP, provides a robust picture of the temperature variations. The contrast between the recent record-breaking June rainfall and the current dry, cold conditions underscores the dynamic weather patterns that can occur. Understanding these atmospheric dynamics is crucial for regional planning, from water resource management to agricultural forecasting, especially as climate variability potentially intensifies in the coming decade.
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