This study presents a high-resolution (1 ha) map of Köppen's climate classification for Brazil, developed using monthly temperature and rainfall data from 2,950 weather stations. The map was created using a Geographic Information System (GIS) and multivariate equations that considered geographical coordinates and altitude. Rainfall patterns were interpolated using kriging, and temperature maps were generated using multivariate equations. The final map shows the distribution of A, B, and C climate zones, which cover 81%, 5%, and 14% of the country, respectively. The map also identifies previously unreported Köppen's climate types in Brazil. The study highlights the importance of Köppen's classification for various scientific and practical applications, including geography, biology, ecology, meteorology, hydrology, agronomy, forestry, and environmental sciences. The map provides a detailed spatial representation of Brazil's climate variations, making it accessible to a wide range of users.This study presents a high-resolution (1 ha) map of Köppen's climate classification for Brazil, developed using monthly temperature and rainfall data from 2,950 weather stations. The map was created using a Geographic Information System (GIS) and multivariate equations that considered geographical coordinates and altitude. Rainfall patterns were interpolated using kriging, and temperature maps were generated using multivariate equations. The final map shows the distribution of A, B, and C climate zones, which cover 81%, 5%, and 14% of the country, respectively. The map also identifies previously unreported Köppen's climate types in Brazil. The study highlights the importance of Köppen's classification for various scientific and practical applications, including geography, biology, ecology, meteorology, hydrology, agronomy, forestry, and environmental sciences. The map provides a detailed spatial representation of Brazil's climate variations, making it accessible to a wide range of users.