Itatiaia National Park Hits Record Low of -11°C, Coldest of the Year
The Itatiaia National Park, Brazil's first national park established in June 1937, has set a new record for the year, registering a frigid -11°C early Tuesday morning, July 14th. This extreme cold was recorded at approximately 4:56 AM at the Nascente de Campo Belo RJ/MG station, located in one of the park's highest and coldest regions near the river's source. This station recently resumed operations and is known for its challenging climate. Just a few days prior, on Thursday, July 9th, the same station recorded -7.7°C. The Itatiaia National Park now holds the top two spots on the daily low-temperature ranking, compiled by WS Consultoria Climatológica in partnership with the National Institute of Meteorology (Inmet). Another station within the park, Campo Belo MG/RJ, recorded a minimum of -10.1°C around 4:34 AM on the same morning. Images shared by PNI guide Demilson Rodrigues show the park's vegetation covered in a layer of white frost. The Itatiaia National Park, situated in the Serra da Mantiqueira mountain range spanning Minas Gerais and Rio de Janeiro, covers an area of 28,000 hectares and features prominent mountains, including Pico das Agulhas Negras, the park's highest point at 2,791.5 meters.
This event highlights the extreme microclimates present within Brazil's protected natural areas, demonstrating their ecological significance and the challenges of monitoring them. The record-breaking low temperature, while a natural phenomenon, underscores the importance of robust environmental monitoring systems, especially in regions experiencing climate variability. The park's historical designation and expansion reflect evolving conservation priorities, and its role as a biodiversity hotspot necessitates continued investment in research and infrastructure to understand and mitigate the impacts of extreme weather events, which may become more frequent with global climate shifts. The partnership between WS Consultoria Climatológica and Inmet showcases a valuable model for data collection and analysis in critical environmental zones.
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